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May 12, 2026

Founders

A new IIMA Ventures paper by Supriya Sharma (Partner - Insights, IIMA Ventures) and Neharika Vohra (Professor of Organisational Behaviour, IIM Ahmedabad and Chair of the Ashank Desai Center for Leadership and Organisational Development) on how startup cultures form. The central argument: culture forms whether or not founders shape it, and when they don't, an emergent culture takes hold that almost never aligns with the startup's strategy. The paper organises founder choices on a 2x2 of deliberate-or-tacit by singular-or-repeated, and flags the tacit-and-repeated quadrant as the most dangerous because culture forms there every day through patterns no one has named. Three of the examples the paper works through: CleverTap (Anand Jain), where assembling office furniture themselves seeded 'be urgent and take initiative' as a lasting value; Zoho (Sridhar Vembu), turning down a $100mn+ termsheet in 2000 to lock in financial prudence; and Eko's hiring rule that a candidate who couldn't have a cup of tea from a slum dweller couldn't be hired. Two diagnostic toolkits at the end cover the 0-10 and 10-100 stages.

IIMA Ventures
@IIMAVentures

People and culture have been at the heart of what we do at IIMA Ventures.

Across Bootcamps, we saw a common pattern: Products change. Business models pivot. But the people problems? Those don't go away on their own.

This paper looks at how culture takes shape in startups, the early choices that define it, and how founders can build culture intentionally as they scale. It also includes practical diagnostic toolkits for founders and startup leaders.

If you're building a team right now, this one's worth your time.

go.iimaventures.com/Culturepaper

Title card for the IIMA Ventures paper 'How Startup Cultures Form: Founder Imprint, Early Choices, and a Toolkit for Shaping Culture' set against a collage of People and Culture bootcamp photographs
May 12, 2026
Founders

Shweta Rajpal Kohli (President and CEO, Startup Policy Forum) mentions about a Fintech Baithak at GIFT City: founders from xflow.in, OTPless, Sq1 Security, ACKO, Signzy, Mobavenue, and CoinDCX in a room with senior IFSCA officials Dr. Dipesh Shah and Supriyo Bhattacharjee at the GIFT International Fintech Institute. GIFT City houses India's only operational International Financial Services Centre. IFSCA, established under the IFSCA Act, 2019 and operational from April 27, 2020, is the unified regulator for the IFSC. Within the IFSC jurisdiction, it exercises the powers of RBI, SEBI, IRDAI, and PFRDA across banking, capital markets, insurance, pensions, and fintech.

Shweta Rajpal Kohli
@ShwetaRKohli

A mini Fintech Baithak at GIFT City, Gujarat. Founders and leaders from @xflowpay @otpless @sq1_security @ACKOIndia @TeamSignzy @Mobavenue_ @CoinDCX sat with senior IFSCA officials for the kind of conversation regulators and startups rarely get to have. Candid, specific, and genuinely useful.

Grateful to Dr. Dipesh Shah, and Supriyo Bhattacharjee for their time and clarity.

Standing at the GIFT International Fintech Institute @gift_ifi we saw the interplay of geography and policy - the Domestic Tariff Area on one side, and across the road the IFSCA @IFSCA_Official zone on which ceases to be Indian territory for all practical purposes and offers incredible tax benefits.

At Startup Policy Forum, the real work begins after these delegation visits are over. We look forward to working with our Knowledge Partner @IkigaiLaw for turning these conversations into actionable submissions.

Excited to deepen our collaboration with GIFT City both on behalf of SPF for our members, and also for the New Economy Collective (NEC) to enable global companies to tap into GIFT city benefits and the vast economic potential of India.

@andybals | @BhavikKoladiya

Group photo at the GIFT International Fintech Institute: SPF founders and senior IFSCA officials standing together in front of the IFSCA world-map mural
May 12, 2026
Founders

Arpita Nagpure mentions about the eChai Ventures Marketing Strategies for Business session in Pune on LinkedIn, hosted at Ideas to Impact Hub. The speakers: Chainika Dhaila, Shraddha Jain Magar, Rohan Gadekar, and Madhav Tarun Atmakuru. The takeaways Arpita walked out with: marketing today is about customer conversations, not just campaigns, and storytelling lands when you communicate on behalf of the customer's pain points. Don't just sell a product, add value and come up with solutions, because the brands that solve real problems are the ones people remember. Customer acquisition needs an omnichannel approach (LinkedIn, Instagram, communities, events), with consistency across channels building trust. It is not about the time you spend, it is about the value you create. Understanding your ICP (Ideal Customer Profile) and creating a strong lead magnet can change the marketing game. LinkedIn and Instagram are becoming essential tools for personal branding, networking, and business growth.

Arpita Nagpure
1d

All things marketing, strategy, storytelling, customer psychology, value creation & Networking 🙌🏻 Had an insightful time attending the Marketing Strategies for Business event organized by eChai Ventures at Ideas to Impact Hub Pune, where industry experts shared practical insights on building meaningful customer connections and scalable marketing strategies. A big thank you to the amazing speakers: Chainika Dhaila, Shraddha Jain Magar, Rohan Gadekar.

Some key takeaways that truly stood out for me:

> Marketing today is all about customer conversations, not just campaigns. Storytelling becomes powerful when you communicate on behalf of the customer and genuinely understand their pain points.
> Don't just sell a product, add value and come up with solutions. The brands that solve real problems are the ones people remember.
> Customer acquisition needs an omnichannel approach. Your audience is everywhere: LinkedIn, Instagram, communities, events, and beyond. Consistency across channels builds trust.
> It's not about the time you spend, it's about the value you create. Smart execution and meaningful engagement matter more than just activity.
> Understanding your ICP (Ideal Customer Profile) and creating a strong lead magnet can completely change your marketing game.
> LinkedIn and Instagram marketing are becoming essential tools for personal branding, networking, and business growth in today's digital-first world.

Loved interacting with fellow founders, marketers, entrepreneurs, and professionals who are building impactful ideas and businesses 🚀 Events like these remind me how fast marketing is evolving, and how important it is to keep learning, adapting, and building authentic connections. Looking forward to attending more such insightful sessions and implementing these learnings in real-world business and branding strategies.

Photo from the eChai Ventures Marketing Strategies for Business session in Pune at Ideas to Impact Hub
View this post on LinkedIn →

Aaron Levie (CEO, Box) mentions about OpenAI's just-launched Deployment Company on X. Earlier on May 11, OpenAI announced it: majority-owned by OpenAI, 19 leading investment firms, consultancies, and system integrators on board, plus the acquisition of Tomoro to bring 150 Forward Deployed Engineers and Deployment Specialists in from day one. Aaron's framing for why this services wave will dwarf the 90s analog-to-digital and 2000s on-prem-to-cloud waves: prior waves swapped one delivery medium for another (on-prem CRM to cloud CRM), but agents rewire the business process itself, and business processes are full of idiosyncrasies. Every industry has variants, every department within those industries has variants, every firm has bespoke differences. CPG marketing looks different from healthcare marketing. B2B software sales look different from a car dealership. The technical work is non-trivial: modernising data and infrastructure, mapping access controls and permissions for agents and people, giving agents the right context, eval and maintenance through model upgrades, and the change management of figuring out which parts the people do and what agents do. The opening: a huge wave for new service providers, plus internal teams and roles that don't yet exist.

Aaron Levie
@levie

The need and opportunity for professional services and FDEs to deploy agents right now is massive.

Every tech wave offers a new era of consulting and tech services requirements. Moving from analog to digital led to a massive wave in the 90s. Moving from on-prem to cloud did the same in the 2000s. But this is going to be at a scale far greater than the others.

The reason is that agents fundamentally change the underlying workflows of an organization. Unlike most prior eras of technology, where it was a change in medium of the service being delivered (on-prem CRM to cloud CRM), agents rewire the business process itself. And unlike upgrading a tech system, business processes are full of idiosyncrasies.

Every industry will have its own variants, and every department within those industries will have variants as well. Not to mention the bespoke difference between firms. Bringing agents to marketing in CPG will look different from marketing in healthcare. Bringing agents to sales in a B2B software company will look different from a car dealership.

And none of the change is easy technically. You need to first modernize your infrastructure and data and make sure it's ready for agents; access controls, entitlements, and permissions need to be mapped in a way that works for agents and people; you need to make sure agents have the right context to work with; you need to consistently eval and maintain the agents when there are model upgrades; and you need to drive the change management of the process itself to figure out which parts the people do and what agents do.

That's an insane amount of technical and domain-specific process work to be done to make this all happen. Huge opportunity for new service providers, as well as internally teams and roles to emerge, to help drive this change.

OpenAI @OpenAI · May 11

Today we're launching the OpenAI Deployment Company to help businesses build and deploy AI. It's majority-owned and controlled by OpenAI. It brings together 19 leading investment firms, consultancies, and system integrators to help organizations deploy frontier AI to production for business impact.

10:53 PM · May 11, 2026 · 47.7K views
Founders

On the eChai Podcast on Radio LJ 90.8 FM, Jatin Chaudhary sits down with Prof. Dr. CA Savan Godiawala (Ex-Deloitte Partner) and Bhavin Bhagat (co-founder, IndiaBizForSale and IBGrid) for thirty minutes on the Indian M&A landscape. Bhavin walks back to a 2010 family struggle that sparked IndiaBizForSale in 2013-14, and the transactions IBGrid has run since across ₹50 lakhs to ₹300 crores. Three threads carry the conversation: Dr Savan on culture as the number-one reason M&A deals fail (far more than financial disagreements), Bhavin on the second-line leadership rule for a clean founder exit (if the business can't run without you, it's a job, not an asset), and both on radical transparency around pain points as the move from due diligence into solution discussion.

May 11, 2026

Founders

Recently, Vaibhav Domkundwar (founder, Better Capital) hosted around 25 founders in Indiranagar, Bangalore, at Shram AI's bungalow office (opened up by Ojasvika Sahu and Jay Gadekar) for about a hundred minutes of straight Q&A on a question every Indian AI founder is sitting with right now: should I move to SF to build my AI company, or can I build it from India? Below, in their own words: Vaibhav's recap right after the session, a note from Monisha Rajpal (founder, Suprslay) who was there, and Vaibhav's earlier announcement that brought everyone together. The same FutureFounders heads to Pune next.

Vaibhav Domkundwar
@vaibhavbetter

Thank to everyone who made it to the FF BLR event and to @Ozacle23 @gadekarjay30 for hosting it at Shram AI's beautiful bungalow office in Indiranagar.

100 mins of Q&A around the big "SF or not" question.

The goal was to answer the wide range of questions so we cover a lot of ground and let everyone apply the relevant aspects to their situation, all our FF events are not meant to drive home "one final conclusion" but to expose and discuss the depth and breadth of the core topic.

I hope it was worth the drive and the 100 mins :)

This post from Monisha captures what the session gave her (linked below) and I'd love for more of you who attended to share similar notes as it can help explore the conversation further.

Stay tuned for another equally interesting FF topic soon :)

But before that we are going to do this same FF in Pune soon!

Vaibhav Domkundwar hosting FutureFounders BLR at Shram AI's bungalow office in Indiranagar: a small group of founders gathered for the SF-or-India Q&A
Vaibhav Domkundwar (Better Capital)

And Monisha, who was there, said the session stayed with her:

Monisha Rajpal
@MonishaRajpal

went to FutureFounders BLR last night for a session on "should i move to SF to build my AI company?" by @vaibhavbetter organised by the Shram team

honestly thought i'd leave with tactics. instead i left questioning the size of my own ambition.

a few things that stayed with me:

> nobody cares if your startup is "useful" if it's not interesting enough to pull people in for years

> SF's biggest advantage isn't capital, it's the collective delusion that impossible things can actually be built

> building is already painfully hard and thinking small doesn't make it easier

also had a long chat with @Ozacle23 on why we still chose B2C despite everyone warning against it.

it felt oddly validating while building @suprslay where consumer only works when you care irrationally deeply about the problem and logic alone won't sustain it.

left with more questions than answers. probably a good sign :)

May 8, 2026 · Monisha Rajpal (Suprslay)

And here's Vaibhav's earlier announcement that pulled everyone together:

Vaibhav Domkundwar
@vaibhavbetter

FutureFounders BLR: Should I move to SF to build my AI company?

We are hosting a FutureFounders session on 7th May at 6:30pm in Bangalore to discuss the question of the season: Should I move to SF to build my AI company or can I continue to build it from India?

We have spent a significant part of the past 4 years on this problem statement, gaining nuanced understanding, insights, and real-world stories from multiple companies. I will share what we have learnt and answer questions.

FutureFounders is a pure Q&A format, meaning there is no general one-way discussion. It's 90 minutes of continuous questions and answers only. This has helped us keep it super aligned to what founders actually want to know.

For this format to work, it requires a small group, so we restrict these sessions to 25-30 folks only.

Please apply for an invite below. We will keep it open for the next 24 hours and then send invites based on the quick context you've shared. This will ensure the audience is highly relevant to the topic, making the Q&A productive for everyone.

See you there!

May 6, 2026 · Vaibhav Domkundwar (Better Capital)

May 10, 2026

Founders

From the Reading Room: Tobi Lütke (Shopify co-founder and CEO) with a long post, "Learning on the Shop floor," about Shopify's internal AI agent, River. River lives in Shopify's Slack and only works in public channels. That constraint is the whole point: when AI does the work in private windows (a private ChatGPT tab, a Cursor session between you and the IDE), every interaction is locked away from the rest of the org; when it works in public, the whole company gets to apprentice to it. Tobi connects this to his German apprenticeship (Lehrwerkstatt: teaching workshop) and his 2018 chess essay "The Future Role of Human Excellence": better engines made better humans because humans now had something to apprentice to. The 30-day numbers: 5,938 Shopify employees worked with River across 4,450 Slack channels; 1,870 pull requests were opened by her in the last week alone; about one in eight PRs merged into Shopify's codebase that week was authored by her, reviewed by people.

tobi lutke
@tobi

Years ago I wrote about my apprenticeship in Germany. I dropped out of school at 16 and went to work at a Siemens subsidiary, where the most interesting people sat in the basement and used Delphi instead of the corporate-mandated Rosie SQL (both pretty much lost to time and progress). I learned to be a programmer by watching them. By making them coffee. By hanging around long enough that their judgment seeped into me.

I have been thinking about that experience a lot in the last year, because we built something at Shopify that runs on the same principle.

She's called River. River is an AI agent that lives in our company's Slack. You talk to her the same way you would talk to a teammate: by mentioning River in a Slack channel. She can read code, run tests, write code, open pull requests, query our data warehouse, look at production traces, and a lot more. We use this constantly.

In the last 30 days, 5,938 Shopify employees worked with River across 4,450 different Slack channels. It opened 1,870 pull requests in the last week alone in our main monorepo. About one in eight pull requests merged into our codebase last week was authored by River, reviewed by us.

There are a lot of coding agents in the world right now. What makes River special is a constraint: She only works in the open.

A constraint that became a feature

When we started building River, the obvious thing to do was let people use her in private. That is how many other AI assistants work. ChatGPT is a private window. Claude is a private window. Cursor is between you and the IDE.

We made the opposite decision. River lives in slack, our company chat. River does not respond to direct messages. She politely declines and suggests to create a public channel for you and her to start working in. I myself work with river in #tobi_river channel and many followed this pattern. Every conversation is therefore searchable. Anyone at Shopify can jump in. In my own channel, there are over 100 people who, react to threads, add color and add context, pick up the torch, help with the reviews, remind me how rusty I am, and importantly, learn from watching.

This was odd at first. People are used to private workspaces with their tools. Asking for help feels different when the whole company can see the question. But something happened that we hoped for but did not fully predict the impact of:

People started learning from each other.

A support engineer in #help_checkout would watch a backend engineer in another channel get River to find the right log query, and the next day she would do the same thing. A new hire would scroll back through #river to see how senior people scope a request before they ever sent their first one.

As so often with German, there is a word for the kind of environment this is: Lehrwerkstatt. Literally: A teaching workshop. The whole shop floor is the classroom. You learn by being near the work. Being a constant learner is one of the core values of the firm.

Shopify wants to be a Lehrwerkstatt at scale and River has now gotten us closer to this ideal than ever. It's osmosis learning, because it does not require a curriculum, a training plan, or a manager. It just requires everyone's work to be visible to the maximum extent possible. Everyone learns from each other.

I'm genuinely excited by this, somewhat accidental, discovery and thought I'd share.

Why this matters more, not less, with AI

A common worry about AI is that it will make people stop thinking. Why would a junior developer learn to debug if the agent does it for them? Why would they read the codebase if they can just ask?

I think the worry is real but the framing is wrong. The risk is not that AI does the work. The risk is that AI does the work and we never learn from it. If every interaction with an agent happens in a private window, the only person who learns anything is the person at the keyboard. Everyone else is locked out of the apprenticeship.

When people work together with their agents in public, the opposite happens. The best prompt patterns spread, knowledge spreads. The clever way one developer investigated a Slack permissions bug becomes the template for how everyone else investigates. The skill someone wrote to teach River about the company's checkout data warehouse gets reused by twelve other teams. River herself learns: every channel has pre-load the zones, skills, and instructions its team needs, written by the people closest to the work. River also has a memory that is constantly learning and un-learning critical information about the company and the best way to do work.

The agent does not replace the apprentice, nor does it replace the mentor. The agent makes the whole company an apprentice because everyone is constantly watching the most experienced people work alongside it.

This is also why the merge rate keeps climbing. We did not retrain a model. We did not switch models. An improvement from 36% to 77% over two months came from people watching River work, noticing where it got stuck, and writing down what it should know and making River itself a better teammate. Every team's accumulated taste flows into the agent. The agent gets better at being Shopify.

The company moves at the speed of its slowest secret

When I think about why this matters, it comes back to something I have believed for a long time: the speed of an organization is determined by the speed of its lowest-bandwidth communication channel and rhythm. Meetings are slow. Email is slow. Private DMs are slow. Maybe not for the individuals involved in them, but for the organization. The information and decisions that come from them never fully diffuse into the rest of the organization without huge additional communication effort.

A public conversation between humans or with a competent agent is none of those things. It is fast, it is searchable, it is teachable, and it compounds. The next person who has the same question does not have to ask it.

I do not think the future of work is humans being replaced by agents. I wrote a piece in 2018 called The Future Role of Human Excellence, about how chess got more popular, not less, after computers learned to play. The same lesson applies here. The right model is not human or machine. It is the apprentice and the master, both watching each other learn, both getting better on the shop floor.

That is what River is. This is our Lehrwerkstatt.

May 8, 2026

May 9, 2026

Founders

In this eChai Podcast on Radio LJ 90.8 FM, Jatin Chaudhary (Co-Founder, eChai Ventures) sits down with Dr Amit Gupta and Vikram Patel, two founders working at very different scales of healthcare. Dr Amit Gupta runs Usmanpura Imaging Centre, an Ahmedabad-based diagnostic imaging chain he took over in 2007 and grew across Gujarat: MRI, CT, HRCT, mammography, and doppler now across Ahmedabad, Gandhinagar, Morbi, Anand, Rajkot, Patan, and Nadiad, with sister businesses AIRMED Pathlabs and AIRMED Tech alongside it. Vikram Patel is co-founder and CTO of DocVita (YC W20), the Bengaluru-based telehealth platform that pivoted to mental health in 2021 and now connects users in India with about 110 therapists and psychiatrists for online consultations.

Founders

Jaya Gupta mentions about the next biggest moat in AI on X, in a long read on what counts once model quality, distribution, interfaces, and product velocity have all become table stakes. Her argument is that what's left is the company itself: its character, the kind of person it can attract, and the kind of work that can't be reproduced elsewhere. Great companies are organizational inventions, not products with users. The founder question underneath every hiring page and every operating choice, she writes: what kind of person can only become themselves here?

Jaya Gupta
@JayaGup10

The next biggest moat in AI

It's pretty obvious to everyone that everything in AI is converging. Companies I couldn't have imagined competing with each other are today. The application layer is collapsing into infrastructure, infrastructure companies are moving up into workflows, and almost every startup is rebranding itself as some version of a transformation company. The words change every few months: context graph, system of action, organizational world model. A new category gets named, every website absorbs it, and within weeks the market is filled with companies claiming to be the inevitable platform for how work will change.

When models improve quickly, interfaces converge, and product velocity becomes cheap, the visible parts of company-building get easier to imitate. The harder thing to copy is the institution underneath: the way a company attracts exceptional people, organizes their ambition, concentrates judgment, distributes authority, and turns work into a compounding system no other company can reproduce.

The best companies have always known that people are not an input to the company, but rather are the company. But in AI, that truth becomes sharper because everything else is moving so fast. If products can be copied, categories can be renamed, and technical advantages can collapse in months, then the enduring question is what kind of organization you build around the people capable of building it.

The shape of the company itself is becoming the moat.

Great companies are organizational inventions

The most important companies are actually organizational inventions. They create a new kind of institution around a new kind of work, and in doing so, they make a new kind of person possible.

OpenAI did not look like academia, a corporate research lab, or a traditional software company. At its center was frontier model training as the organizing activity. Safety, policy, product, infrastructure, and deployment all orbited that gravitational center. The structure changed what kind of researcher could exist there: someone who wanted to operate at the edge of science, product, geopolitics, and civilizational risk at the same time.

Palantir invented a new kind of operating institution for broken systems. Forward deployment was not just a go-to-market motion. It was a status hierarchy, a talent model, and a worldview. The company took work that would have been low-status elsewhere, sitting with customers, absorbing institutional mess, translating politics into product, and made it central. It created a protagonist who did not fit cleanly into software engineering, consulting, or policy, but could operate across all three.

None of these companies fit the boxes that existed before them. None of the people who built them did either. Great companies are not just places where talented people go. They are structures that let a certain kind of talent finally express themselves.

Shape determines who can exist there

The best companies in the world do not only compete on category, market, or compensation. They compete on identity. Ambitious people tend to value a few things intensely: feeling special, being close to power, becoming undeniable, staying full of optionality, belonging to a mission, being in the room where history bends, but they often do not know which of these they are actually optimizing for yet. That is why the strongest institutions find people early and are recruiting at the most top tier universities when they are freshman. They reach them before their self-concept has hardened, before they know what they want to be famous for or what their values are, before they can distinguish between the work they are good at and the person they are trying to become.

A great company gives them a language for their own ambition. It says: the thing you have been circling around but have not known how to name can happen here. You can become the person who moved the Mars timeline, the person who was in the room when the frontier shifted, the person who could operate inside broken institutions, the person whose work became undeniable.

This is why great institutions are wrappers around a kind of person.

Many compete on cash, which is the least interesting form of talent competition for legendary companies (maybe Jane Street or Citadel though). Cash can close people, but it rarely converts them (ask some of the neolabs or Alex Wang). The best people are most loyal when the company can offer something more specific than money: a path to becoming the version of themselves they already wanted to be, or did not yet know they wanted to be.

Each emotional promise is also a structural promise. If the company says customer proximity matters but customer-facing work is low status, the promise is fake. If it says ownership matters but decision rights are centralized, the promise is fake. If it says mission matters but the mission offends no one, selects for no one, and costs nothing, the promise is fake.

So what do people want to feel?

People want to feel special: rare, seen, not interchangeable. The pitch lands as only you could do this. Only you are unique enough to come build it here. It targets the quiet insecurity most high performers carry: the suspicion that their excellence is fragile, that someone else could probably do the job, that they have not yet been truly seen. It only works inside a shape small enough that one person actually can shift the company's trajectory.

They want to feel destined: that their life is bending toward something inevitable. Anthropic is the cleanest example right now. We are one of two or three companies that will determine how this technology gets deployed safely, and the people in this room are the ones doing it. This emotion is potentially only credible inside a shape structurally positioned to be one of those two or three institutions.

They want to feel they are not missing out: that they are inside the room where the compounding is happening. Look at how many CTOs of iconic companies Anthropic just hired this quarter. Talent density is itself a shape decision: downstream of how the company recruits, pays, organizes work, and concentrates the best people in the same physical room.

They want to feel they have something to prove. This is the investment banker who has been polished and credentialed and told they are impressive their whole life, and who has started to suspect that none of it actually proves anything. Or optionality. McKinsey perfected this. The shape of the firm: generalist staffing, two-year analyst cycles, and optionality to exploring industries since god knows what you want to do at 21.

Obviously, people want proximity to power and status as well.

And some people want to sacrifice to mean something larger than the paycheck, what most companies used to call mission, but what really functions as a cult around something the team believes in viscerally. Some of the newer value props in this neolabs category are sharper than the mission statements of the last cycle because each one picks a side. Open source commits you against closed labs. Sovereign AI commits you against the assumption that one country's models will run the world. The strongest missions are the ones that make some people refuse to work there, because that is the same thing as making the right people desperately keen to be there.

Now people are people: the best companies have picked one or maybe two of these emotions that a specific candidate is starving for, and they have already built a shape for those people.

The question for founders

For founders, the real question is not: how do we tell a better story? It is: what kind of person can only become themselves here?

Most companies pitch the literal version of what they do. We are building a model. We are building a rocket. We are building a CRM for X. We are automating Y. It may be accurate and honest, but nowadays, accuracy is not enough to recruit exceptional people.

The best companies today are operating at a higher altitude, they describe the change their existence makes possible: the industry that gets revived, the institution that gets rebuilt, the civilizational bet that gets won, the class of human effort that becomes possible for the first time.

Sometimes, people make the mistake of feeling that the "extra" altitude is marketing and it's also a different narrative than fundraising. The attitude of your story has to match the shape of your company which means that a grand story inside a small shape reads like hot air; a small story inside a grand shape leaves the best people on the table. The alignment of the two is what candidates are actually evaluating, even when they cannot articulate it.

If you believe customer proximity is the moat, then customer-facing work has to be high status. If you believe speed is the moat, then decision rights have to be pushed to the edge. If you believe talent density is the moat, then average people cannot be allowed to define the operating pace. If you believe deployment is the moat, then the people closest to reality need power, not just responsibility.

And for the people choosing

For the people choosing where to spend the next chapter of their lives, the lesson is different. You are committing years to a specific person's vision and a specific organizational shape, and recruiting is unusually bad at revealing either one. It shows you the pitch, the mission, the talent density, and the imagined future. It rarely shows you the real structure of power, and almost never shows you how people behave under pressure.

That part appears later: when the company is strained, when your work becomes inconvenient, when you ask for something they did not want to give, when belief in your potential has to become title, authority, economics, scope, or resources.

For ambitious people, emotional validation can make people feel like owners before they are given ownership. High performers can end up working like founders, absorbing ambiguity like executives, and internalizing mission like principals, while still being paid and empowered like employees. The company captures founder-level intensity; the person receives belonging. When the structure catches up, that exchange can be beautiful. When it does not, it becomes asymmetric.

People that are older will give you advice that you are paying in identity what you do not want to pay in structure: specialness instead of title, proximity instead of authority, reassurance instead of economics, trust me instead of a written mechanism, because that is how someone can feel deeply valued and materially stuck at the same time.

While there are many different levers for employees like ownership and compensation, the most dangerous promises are denominated in time. Over time, this will become bigger. Over time, you will own more. Over time, the structure will catch up. However, time does not announce itself as it leaves. You arrive at a later version of your life and realize the future-tense promise never came to be (unless it does).

For ambitious people, you will have to realize that there is a difference between being chosen and being seen. Being chosen is emotional: you are special, we believe in you, you belong here. Being seen is structural: here is the scope, here is the authority, here is the economic participation, here is the decision right, here is what changes if you succeed.

If you have real potential, go where someone will actually see it, where the organization is willing to make your value real in the structure itself.

The new moats

You can read all of this cynically. You can decide every recruiting pitch is manipulation, every mission is a costume, every company is trying to make you feel special so it can rent your life at a discount.

Our psyche wants something to believe in. We want our work to matter, our sacrifice to mean something, our talents to be recognized by people who can actually do something with them. That does not make us naive. It makes us human. Great companies have always been new containers for that need. They are not just vehicles for products or profits. They are structures for ambition.

Silicon Valley loves its categories: technical, non-technical, researcher, operator, founder, investor, missionary, mercenary, and then forgets that most great people do not actually live inside one box. They live among many, borrow from one, break another, combine a few that were never supposed to touch, and eventually build a shape other people mistake for obvious.

The opportunity now is not to become the next OpenAI, Anthropic, Google, Palantir, or Tesla. It is to ask what kind of company has not been possible before, and what kind of person has been waiting for it to exist.

AI will make many things easier to copy: product surfaces, workflows, prototypes, pitch language, even early velocity. But no matter how many pitches argue that AI will make it easier to build an institution, it will not make it easy to build a new institution. It will not make it easy to create a shape that concentrates the right people, gives them the right authority, puts them close to the right problems, and compounds their judgment over time.

The old talent market rewarded companies that made people feel chosen. The next one will reward companies built in shapes the old market could not have produced, and the people inside them will become something the old shapes could not have made possible.

May 8, 2026

May 8, 2026

Founders

Varun Mayya mentions about Aeos, his company, on X with the new State of AEOS 2025-26: an illustrative annual report covering highlight projects across creative and engineering disciplines, with the company now at 500+ employees. Aeos itself is framed as "a group of companies united by the problem statements of video and the attention economy, bootstrapped, profitable, and building from India for the world." The report walks through each vertical of the group: Distribution, Education (Aevy Video School), YAAS Media, Aeos Labs, Prime Select, Aeos Films, and Games.

Varun Mayya
@waitin4agi_

Every year around this time I write a blog post on what my company, Aeos, did during the year. This year I wanted to do an illustrative report covering our highlight projects across both creative and engineering disciplines. We are now 500+ employees:

May 7, 2026
State of AEOS — Annual Report 2025-26 by Varun Mayya, an illustrative review of Aeos's verticals across creative and engineering
Founders

Matthew Prince (co-founder and CEO, Cloudflare) and Michelle Zatlyn (co-founder, Cloudflare) co-signed a sober note on the Cloudflare blog yesterday: the company is reducing its global workforce by more than 1,100 employees as it reimagines internal processes, teams, and roles for the agentic AI era. The reasoning is concrete. Cloudflare's own use of AI has grown more than 600% in the last three months; employees across engineering, HR, finance, and marketing now run thousands of AI agent sessions a day, and the company's existing structure was built for a way of working that no longer matches how the work gets done. The post is explicit that this is not a cost-cutting exercise. The severance is unusually generous: full base pay through the end of 2026, US healthcare continued through year-end, equity vesting continued through August 15, and the one-year cliff waived for departing employees who haven't hit it yet. Both founders are emailing every affected employee directly rather than routing through managers. The rest of the announcement landed on Cloudflare's earnings call at 2 PM PT.

Matthew Prince
@eastdakota

Matthew sharing the Cloudflare team note co-authored with Michelle Zatlyn. Full post on the Cloudflare blog (linked below).

May 7, 2026
Cloudflare blog: Building For The Future, by Matthew Prince and Michelle Zatlyn
Founders

In this eChai Podcast on Radio LJ 90.8 FM, Harsha Bhurani (CEO, Hummingbird Talent, an eChai company) sits down with Nikita Maheshwari and Shweta Patel, two Gujarat founders building in very different industries. Nikita is co-founder of Tatkalorry, working out of Ahmedabad to bring on-demand logistics to the ceramic tile world: a single platform connecting manufacturers, transporters, and truck drivers across the Morbi ceramic belt. Shweta runs Fashion Floor India, an online women's apparel label built around khadi kurtis, cotton party wear, and modern ethnic pieces, shipping pan-India on Shopify.

May 7, 2026

Founders

Mishti (Head of Narrative at Clay) mentions about her three-year arc at Clay on X, debuting First Round's new Firsthand series with a 5,000-word behind-the-scenes piece. She joined Clay as one of its earliest employees, reluctantly, leaving cultural journalism to write about cold email at a 10-person B2B data company. Three years later, Clay is a $5B AI company, and Mishti has gone from sales guides in Notion to defining a career path (GTM engineering), building a video journalism arm, and stepping into Head of Narrative. Her framing of why it worked: Kareem Amin and Varun Anand (Clay's co-founders) broke the standard role math, paid her like a PM for a content role, let her stay an IC when managing felt draining, and kept encouraging her to reinvent the job. The talent philosophy she draws out: create the conditions where someone can be fully themselves and you get irreplicable work. The piece itself is also stories: Varun's ambushes, Kareem's zen, road-trip caravans, promotions, demotions, crying in bathrooms, laughing with goobers. Linked at review.firstround.com.

Mishti
@m1shti

When I joined @clay as one of its earliest employees, I felt defeated. Instead of betting on my cultural journalism, I was joining a 10-person B2B data company to write about cold email. I thought I'd quit in a month.

Over the last three years, everything changed. Clay went from a small spreadsheet tool to a 5B AI company. I went from writing sales guides on Notion to defining a career path (GTM engineering!), building a video journalism arm, and having the most fun of my career.

It happened because Clay saw, trusted, and rewarded me in ways most companies never would've risked.

For years, I did finance, product, or growth jobs because they had the most impact, pay, and freedom. @kareemamin and @vxanand broke that math. They paid me like a PM for a content role, let me stay an IC when managing felt draining, and encouraged me to reinvent my job over and over. Now as the company's Head of Narrative, I've leaned into my strengths and we made category-defining work out of it.

The talent philosophy is simple: create the conditions where someone can be fully themselves, and you get irreplicable work. Your company gets more self-actualized, your team does too, and people on the outside see it happening and want in.

I wrote a 5000 word behind-the-scenes look at my Clay journey to debut @firstround's new series, Firsthand. I think it's the most personal piece that exists about our company.

Besides my reflection finding talent-company fit, you'll find stories about Varun's ambushes, Kareem's zen, road trip caravans, promotions, demotions, crying in bathrooms, laughing with goobers, and much more. A few readers wondered if I was being too honest, always a good sign ;) Enjoy <3 review.firstround.com/firsthand-clay/

May 7, 2026
Firsthand: How I Bet On Clay (And It Bet On Me) — Mishti's 5000-word behind-the-scenes story for First Round's Firsthand series

Vikram Chopra (Cars24 co-founder) mentions about an internal Cars24 build on X: HTMLHub, made by Manvi Mehrotra. Manvi leads AI Tech Investment Strategy at Cars24 and is not a traditional engineer. The problem she was solving: AI-generated outputs (dashboards, reports, RFCs) were scattered across Slack DMs and email, with no version control and the same artefacts being recreated over and over. HTMLHub gives every HTML file a persistent link with comments, version history, access permissions, and an audit trail. The build path: Manvi worked with Claude for validation and specs, learned the Cloudflare stack (Workers, Pages, R2, D1) in a three-day sprint, and shipped. First-week adoption: 30 uploaders. Today 1,000+ Cars24 employees use it. Her line that captures the AI-collaboration mindset: "AI is a junior engineer with perfect recall. It will execute exactly what you ask for, including the wrong thing." Vikram's framing: the people closest to the problem now have the tools to solve it themselves, and when they do, the whole org moves faster.

Vikram Chopra
@vikramchopra

I have been consistently pushing our teams to learn AI and build with it, because the ability to create is no longer limited to traditional engineers.

Manvi's story is one of the best examples of that.

Without a traditional tech background, she built HTMLHub, a tool now widely used internally across Cars24.

The people closest to the problem now have the tools to solve it themselves. And when they do, the whole org moves much faster.

Proud of what she has built. Full story on our blog.

May 7, 2026
How a non-engineer built the tool 1000+ people at Cars24 now use — story by Manvi Mehrotra on Cars24 Autonauts blog
Funding

Naveen Tewari mentions about InMobi's acquisition of MobileAction on X. MobileAction is an AI-powered app-marketing platform built around Apple Search Ads campaign management (SearchAds.com), App Store Optimization, and ad/market intelligence dashboards, used by 5,000+ apps including Google, Spotify, Starbucks, DoorDash, Grammarly, and Calm. The deal extends InMobi Advertising's iOS user-acquisition stack: organic growth via ASO plus AI-powered optimization across Apple's ecosystem. Aykut (@aykutws) and the MobileAction team join InMobi. Naveen tags InMobi co-founders Abhay Singhal, Mohit Saxena, and Piyush Shah, plus Rohit Dosi. Context: InMobi was founded in Bangalore in 2007 and was India's first unicorn (2014); the group also runs InMobi Advertising and the Glance lock-screen content platform.

Naveen Tewari
@NaveenTewari

Today, InMobi acquires @MobileAction, an AI-powered platform helping app developers and marketers reach new iOS users.

Their expertise in Apple Ads and App Store Optimization strengthens InMobi Advertising's ability to drive results across the iOS ecosystem, through organic growth and AI-powered optimization.

Welcome to @InMobi, @aykutws and the MobileAction team. Looking forward to building together.

@abhaysinghal @mohitsax #PiyushShah @dosi_rohit

InMobi and MobileAction co-branded acquisition announcement card
May 7, 2026
Founders

From Invest Like The Best on YouTube: Patrick O'Shaughnessy with Airbnb's Brian Chesky on redesigning the company for the AI era. Brian walks through the shift from Founder Mode to CEO Mode, the pandemic lessons that forced him to rethink leadership, the industrial-design lineage from Apple, and the team's "11-star experience" exercise (imagine the impossible version of the experience, then scope back to what's actually shippable). His read on why so few consumer AI companies have broken out despite the model wave; the small-teams plus focused-problems pattern that keeps showing up; the founder-led-moats argument; what endures across model shifts. The closing third covers the CEO's No. 1 job, activating untapped talent, and the lessons he's pulled from bodybuilding. About 80 minutes.

Founders

Eela Dubey on LinkedIn with a long-read on the shift in Indian household finance, from 'can I afford this?' to 'can I afford the EMI?' The numbers she walks through. Private Final Consumption Expenditure grew 7.5% in H1 FY26 and now accounts for 61.4% of GDP, the highest share since FY12. Net household financial savings as a share of GDP halved in three years (11% in FY21 to 5.3% in FY24). Household financial liabilities have roughly doubled in two years to ₹18.8 lakh crore. Average debt per Indian sits at ₹4.8 lakh, rising about twice as fast as national income. On SIPs in particular: ₹32,087 crore flows in every month (AMFI, March 2026), but for every 100 SIPs registered in February 2026, 76 got discontinued. Eela's reading is that this is a structural problem, not a discipline one: families today carry a budget with expenses as the first line and savings as whatever's left, and the savings products (SIPs, FDs, LIC) get handed down as products, never as a sequence. Closer: are we celebrating spending when what we should be building is the habit that comes before it?

Eela Dubey
Co-Founder, EduFund & Vittam
1h

The middle class is no longer asking 'Can I afford this?' but 'Can I afford the EMI?'

There's a certain silence when you show someone what their money is actually doing, and they realise, for the first time, that most of it is leaving before they ever decided where it goes.

Private Final Consumption Expenditure grew 7.5% in H1 FY '26 and now accounts for 61.4% of GDP: the highest share since FY '12. We are consuming more than we have in fourteen years.

That is not inherently bad. But here is the flip side. Growing up in an Indian household, we were always encouraged to set a part of our salary aside before any spending.

> Before the restaurant bill.
> Before the school fee.
> Before the grocery run.

Saving was not a financial decision. It was a reflex.

That reflex is fading. It didn't disappear overnight. It got slowly replaced: by easy credit, by EMI culture, by the quiet assumption that income tomorrow will cover what is spent today.

The numbers now make this visible.

> Net household financial savings as a share of GDP has fallen from 11% in FY '21 to 5.3% in FY '24, halved in 3 years.
> Household financial liabilities have risen to ₹18.8 lakh crore, doubling in two years.
> The average debt per Indian at ₹4.8 lakh, rising at 2x the speed of national income.

The saving now happens after. After the EMI, after the school fee, after the family obligation. It is the last line in the budget. And sometimes, when you reach the last line, there is nothing left.

I used to think this was a discipline problem. It isn't. It is a structural problem. These families now have a budget with expenses as the first line and everything else fits below it. They were handed products, SIPs, FDs, LIC policies, but never a sequence. So they saved in whatever was left over. Which in most months was nothing.

The same Economic Survey shows personal income tax has risen from 2.4% of GDP pre-pandemic to 3.7% in FY25. More Indians are earning formally than ever before. The income is there. But inflation is there too. Salary hikes no longer match the pressure of everyday spending.

Here is where it gets complicated. India has ₹32,087 crore flowing into SIPs every single month (AMFI, March 2026). That number is real and it is remarkable. And yet: for every 100 SIPs registered in February 2026, 76 were discontinued. Three in four.

Both are true at the same time. Which means we are building a nation of people who want to invest, and who keep stopping because the surplus was never there to begin with. We have not yet built a nation of people who save first and invest from that surplus. Those are not the same thing.

The difference only shows up when something goes wrong.

So here is the question I keep sitting with: When we talk about India's consumption story as a sign of economic confidence, are we sure we are reading it right? Or are we celebrating spending, when what we should be building is the habit that comes before it?

Visual accompanying Eela Dubey's LinkedIn long-read on India's household savings and EMI culture
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Aakrit Vaish mentions about Activate's AI Fellows program for Summer 2026 on X, opening applications today. The pitch: spend eight weeks building inside India's leading AI startups. Fifteen fellows go to Bangalore from June 1 to July 24, embedded with the founding teams on real product and engineering problems. Open to anyone who ships fast and has founder energy: undergrads, masters or PhD students, international students, self-taught builders. The fifteen host startups span the current Indian AI map: Sarvam AI, Composio, Gnani AI, Dashverse, Aeos Labs, Agrani, Aqqrue, Deccan AI, Pre6, SimpliSmart, Smallest AI, Emergent, Neysa, and Scaled Focus, with the Activate operating team. Each fellow gets paired with a senior tech leader as a mentor; the mentor lineup so far includes Anshul Bhide, Debdoot Mukherjee (Meesho), Garvit Juniwal (Glean), Nirant Kasliwal (Scaled Focus), and Sriram Rajamani (Microsoft Research). On top: cohort meetups, founder dinners, weekly engagement, and a standard intern stipend paid by the host startup. Program starts June 1. Apply by May 15 at activatevc.ai/fellows.

Aakrit Vaish
@aakrit

If you are an undergraduate or graduate student in any part of the world and want to be a part of the India AI story, this is your chance.

Program starts June 1. Apply by May 15 👇

Additionally:

• Each fellow is paired with a senior tech leader as a mentor
• Access to Activate's events, community meetups, and founder dinners
• Weekly engagement with your cohort
• A standard stipend to cover costs for being in Bengaluru

May 7, 2026
Activate · AI Fellows · Summer 2026 — Spend 8 weeks building inside India's leading AI startups. 15 fellows. 15 startups. Bangalore. Apply by 15 May 2026.
Founders

Ming Xia H. on LinkedIn looking back on three years with Draper Startup House India. What was supposed to be a one-month stay turned into half a year on the ground as a founding operator connecting South Asia to the world. Bangalore is a place Ming returns to at least once a year, not for work as much as for the people. Three things she calls out from this trip: Tower 2 launch (more space for founders, aspiring VCs, and community builders); Mansi, Mansi, and Suhani stepping into bigger roles; and mob (Mad Over Buildings), a DSH portfolio startup, now with a permanent experience box where a founder's room once sat. Quote: "it takes a village to (sustainably) raise startups." As feeds and inboxes get optimised by AI agents, the offline matters more.

Ming Xia H.
Founding operator, Draper Startup House India
1mo

🇮🇳 Three years ago, I set foot in Draper Startup House India and immersed myself in the local vibrant startup ecosystem as we gear up for expansion. What should have been a one-month stay extended into three fulfilling months, eventually leading to half a year in India as the boots on the ground, connecting South Asia to the world.

Founders we work with closely in the ecosystem became friends and pillars of support, from daily stand ups over coffee that set the day right to crowdsourced solutions when feeling stuck, over countless midnight brainstorms. As a founding operator, the journey became much less lonely. Since then, Bangalore is a place I return to at least once a year, without fail: not so much for work, but for the people who make and shape the community.

Growth takes shape in many forms, and on this recent trip back, I'm proud to see:

The launch of Tower 2 is symbolic of holding space for a greater community than before, enabling more founders, aspiring VCs, budding community builders, and a scaling ecosystem to thrive.

The youth taking on the baton; embracing challenges and levelling up, courageous to assume bigger shoes to grow into (Mansi, Mansi, Suhani 👀)

The team's steadfast execution and dedication to serve the needs of the India startup community, continuously adapting and passionately building from the ground up.

mob (Mad Over Buildings), one of DSH's portfolio startups, consistently scaling on their mission to build trust and drive progress in the construction industry, now with an experience box permanently set up where a founder's room once sat.

It takes a village to (sustainably) raise startups. At a time when feeds and inboxes are optimised by AI agents, the search for human support beyond virtual connection deepens. These are a reminder to why the offline matters just as much: a constructive community built on trust, curated human touchpoints, breaking the walls and stigmas of isolation on the entrepreneurial journey.

The future is exciting; And this is just the beginning 💥🚀

Kudos to Karan, Nivin, Mansi, Suhani, Mansi, Puskar, Gwmsar, Suman, Shyam, Vikram, DSH Ventures, and the team for tirelessly rallying for the community 🙌🏼

Ming Xia H. with the Draper Startup House India team in Bangalore Ming Xia H. with the Draper Startup House India team in Bangalore (second view)
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Founders

Shalin (Shawn) Parikh on LinkedIn about meeting Raamdeo Agrawal in person. Shalin grew up in a public-markets household: his father worked at PH Khandwala & Co, and the family stories around the ring at Manek Chowk and the office at Sakar 1 (which later became their HQ before the move to Atulyaksh) shaped the love for it. The early-investor lineup he's followed and learned from: Raamdeo Agrawal, Rakesh Jhunjhunwala, Ashish Dhawan, Rakesh Damani, Radhakishanji, Aakash Prakash, Manish Chokhani, Madhuji, Ravi Dharmashi, plus Warren Buffett and Charlie Munger. Meeting Ramdeoji stood out for the curiosity (still calls himself a learner), the conviction on India and Indian markets, and how fully present he was in conversation: no phone, no distractions.

Shalin (Shawn) Parikh
Author | Entrepreneur | Investor | Coach | 20 under 40 CPA
1w

My father was the one who first introduced me to the publice markets. That's where the love for it started. He use to bring annual reports to the house and I use to just look at it (In gujarati he use to call it વાર્ષિક સરવૈયું). He used to work at a broker's office, PH Khandwala & Co, and I grew up listening to his stories about the old days, the ring at Manek Chowk and I have seen him going to the ring, and later his was moved to Sakar 1, Which became coincidentally our headquarters before we recently shifted last year to Atulyaksh (Our New Corporate HQ). Life comes full circle.

Over time whatever little understanding I have of public markets has been shaped by a lot of people, directly and indirectly. Raamdeo Agrawal has definitely been one of them. I've learned a lot just by listening to his interviews and reading about the wealth creation studies.

In fact, I've followed that entire early set of investors: Rakesh Jhunjhunwala, Raamdeo Agrawal, Ashish Dhawan, Rakesh Damani, Radhakishanji, Aakash Prakash, Manish Chokhani, Madhuji, Ravi Dharmashi and many others. And ofcourse Warren and Charlie. Never met any of them, but still learned a lot through whatever they've shared publicly. (I regret after deciding to go to Berkshire Hathaway's last annual general meeting. I postponed my plan and here you are. Warren has already resigned as chairman so probably he will not be doing any AGMs.)

So meeting Ramdeoji in person was wonderful. Thanks for the time.

What really stood out was his curiosity, even today, he still calls himself a learner. That humility, combined with such strong conviction on India and Indian markets, it was something else. And the way he was just fully present in the conversation, no phone, no distractions, just completely engaged. It meant a lot. A very enriching experience.

With Valay Parikh.

Shalin Parikh and Valay Parikh meeting Raamdeo Agrawal
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Founders

From eChai Startup TV on YouTube: the eChai Podcast episode on Radio LJ 90.8 FM with Umesh Uttamchandani on the DevX story. Umesh is co-founder at DevX, the managed office solutions company that designs, builds, and runs premium workspaces across 12+ Indian cities (Ahmedabad, Pune, Mumbai, Hyderabad, Noida, Surat, Rajkot, Vadodara, GIFT City, Udaipur, Jaipur, Indore). DevX is a longtime business partner of eChai Ventures.

DeepTech

Pawan Chandana (Skyroot Aerospace co-founder) mentions about Skyroot's $60M raise at a $1.1B valuation on X, and the Vikram-1 rocket reaching the spaceport in Sriharikota, India's first private orbital rocket. The round was co-led by Sherpalo Ventures and GIC, with participation from BlackRock-managed funds, the founders of Greenko Group, Arkam Ventures, Playbook Partners, Shanghvi Family Office, and others. Ram Shriram (Silicon Valley investor and longtime Google board member) joins Skyroot's board. Liftoff next.

Pawan Chandana
@PawanKChandana

A few years ago, building a global rocket company from India felt almost impossible.

Today, Vikram-1, India's first private orbital rocket, is at the spaceport in Sriharikota, and @SkyrootA has raised $60M at a valutation of $1.1B, backed by some of the world's most reputed investors.

The round was co-led by Sherpalo Ventures and GIC, with participation from funds managed by BlackRock, the founders of Greenko Group, Arkam Ventures, Playbook Partners, Shanghvi Family Office, and others.

Honoured to welcome Ram Shriram, one of Silicon Valley's most respected investors and a longtime Google board member, to Skyroot's board.

Now, on to the spaceport with Vikram-1. Excited to get to Lift-off soon. 🔥🚀

Vikram-1 rocket on display in the Skyroot Aerospace assembly hall, with the announcement card 'Skyroot Aerospace Raises $60 Million at a Valuation of $1.1 Billion'.
May 7, 2026

Claude (Anthropic's @claudeai) mentions about a new SpaceX compute partnership on X: an agreement that gives Anthropic access to all the compute capacity at SpaceX's Colossus 1 data center, adding over 300 megawatts of capacity to deploy within the month. Three downstream changes effective today: Claude Code's 5-hour rate limits double for Pro, Max, and Team plans; the peak-hours limit reduction on Claude Code is removed for Pro and Max; and API rate limits for Opus models are substantially raised. Full writeup on anthropic.com (Higher usage limits for Claude and a compute deal with SpaceX).

Claude
@claudeai

We've agreed to a partnership with @SpaceX that will substantially increase our compute capacity.

This, along with our other recent compute deals, means that we've been able to increase our usage limits for Claude Code and the Claude API.

Effective today, we are:

1) Doubling Claude Code's 5-hour rate limits for Pro, Max, and Team plans;

2) Removing the peak hours limit reduction on Claude Code for Pro and Max plans; and

3) Substantially raising our API rate limits for Opus models.

Our agreement with @SpaceX means we will use all the compute capacity at their Colossus 1 data center. This will give us over 300 megawatts of additional capacity to deploy within the month.

Read more about our usage limit increases and our SpaceX compute partnership: anthropic.com/news/higher-limits-spacex

May 6, 2026

May 6, 2026

Paras Chopra mentions about Lossfunk on X: a talk he gave at Microsoft Research walking through how the lab operates. The output card he shared covers Lossfunk's last 12 months: four main-conference papers (ICML 2026, RLC 2026, ACL 2025, ICLR 2025), plus two at NeurIPS 2025 workshops and four at AAAI 2026 workshops. All undergrads. Lossfunk is the AI research lab Paras started after Wingify, run as a residency-style program for early-stage Indian researchers. The slide deck he linked, 'The Lossfunk Journey: Building an AI lab from scratch', walks through the operating style behind that output. Sits alongside Kunvar Thaman's solo ICML acceptance further down today's feed: two data points from this week on Indian AI research showing up at the top conferences without the Stanford/DeepMind/MIT defaults.

Paras Chopra
@paraschopra

Gave a talk at Microsoft Research on how @lossfunk operates.

We're still iterating but so far our style of operating has resulted in four papers accepted in ICML, RLC, ACL and ICLR main conferences (+ many workshops).

All undergrads, btw! 🚀

Slides below 👇

Lossfunk output (last 12 months): 1 paper at ICML main conference 2026, 1 at RLC main conference 2026, 1 at ACL main conference 2025, 1 at ICLR main conference 2025. Plus 2 papers at NeurIPS 2025 workshops and 4 papers at AAAI 2026 workshops.
May 6, 2026

Caleb Friesen mentions about Kunvar Thaman (@__kunvar__) on X: a 26-year-old solo independent researcher from Chandigarh whose paper just got accepted at ICML. Per Caleb Friesen, only two other solo independent researchers globally have managed this since ChatGPT launched (ICML papers typically come out of OpenAI, Google DeepMind, Stanford, MIT and similar). The work was backed by a $2.5k grant from Exception Raised (@except_raised), an Indian non-profit funding remarkable Indian AI researchers. The paper introduces the Reward Hacking Benchmark (RHB): a sandboxed environment where LLM agents are given multi-step workflows using tools like files, code execution, and automated checks, and the benchmark measures when they solve the intended task vs. take unexpected shortcuts.

Caleb Friesen
@caleb_friesen

Insane.

A 26-year-old from Chandigarh just got a paper accepted at ICML. As a solo independent researcher. From India.

His name is Kunvar Thaman (@__kunvar__).

For context, since ChatGPT launched 3.5 years ago, only two other solo independent researchers have achieved this. Globally.

Papers at ICML are typically dominated by big AI labs/institutions, eg OpenAI, Google DeepMind, Stanford, and MIT.

The research Kunvar did to pull this off was backed by a $2.5k grant from Exception Raised (@except_raised), an Indian non-profit that funds remarkable Indian AI researchers.

Kunvar's paper is about AI agent reward hacking. He created the Reward Hacking Benchmark (RHB), a sandboxed test environment where advanced AI models are given multi-step tasks using tools like files, code execution, and automated checks. The benchmark measures how honestly the model gets to the right answer.

May 6, 2026 · quoting @__kunvar__

Andrew Ng's mental model for how coding agents accelerate different software work, posted to X. From most accelerated to least: frontend development, backend, infrastructure, and research. Frontend gets the biggest lift (LLMs are fluent in TS/JS/React/Angular and can close the loop by operating a browser; given a design, implementation is fast). Backend slows down because steering models through corner cases, subtle bugs, and security flaws takes more work, and downstream effects (a corrupted database that occasionally returns wrong results) are harder to debug. Infrastructure even less so: scaling to 10K users with 99.99% reliability requires tradeoff judgment LLMs don't have, and subtle network misconfigurations need deep engineering expertise. Research moves least, since most of it is thinking through ideas, formulating hypotheses, running experiments. Ng now asks frontend teams to ship dramatically faster than a year ago; expectations for research teams haven't shifted as much.

Andrew Ng
@AndrewYNg

Coding agents are accelerating different types of software work to different degrees. When we architect teams, understanding these distinctions helps us to have realistic expectations. Listing functions from most accelerated to least, my order is: frontend development, backend, infrastructure, and research.

Frontend development — say, building a web page to serve descriptions of products for an ecommerce site — is dramatically sped up because coding agents are fluent in popular frontend languages like TypeScript and JavaScript and frameworks like React and Angular. Additionally, by examining what they have built by operating a web browser, coding agents are now very good at closing the loop and iterating on their own implementations. Granted, LLMs today are still weak at visual design, but given a design (or if a polished design isn't important), the implementation is fast!

Backend development — say, building APIs to respond to queries requesting product data — is harder. It takes more work by human developers to steer modern models to think through corner cases that might lead to subtle bugs or security flaws. Further, a backend bug can lead to non-intuitive downstream effects like a corrupted database that occasionally returns incorrect results, which can be harder to debug than a typical frontend bug. Finally, although database migrations can be easier with coding agents, they're still hard and need to be handled carefully to prevent data loss. While backend development is much faster with coding agents, they accelerate it less, and skilled developers still design and implement far better backends than inexperienced ones who use coding agents.

Infrastructure. Agents are even less effective in tasks like scaling an ecommerce site to 10K active uses while maintaining 99.99% reliability. LLMs' knowledge is still relatively limited with respect to infrastructure and the complex tradeoffs good engineers must make, so I rarely trust them for critical infra decisions. Building good infrastructure often requires a period of testing and experimentation, and coding agents can help with that, but ultimately that's a significant bottleneck where fast AI coding does not help much. Lastly, finding infrastructure bugs — say, a subtle network misconfiguration — can be incredibly difficult and requires deep engineering expertise. Thus, I've found that coding agents accelerate critical infrastructure even less than backend development.

Research. Coding agents accelerate research work even less. Research involves thinking through new ideas, formulating hypotheses, running experiments, interpreting them to potentially modify the hypotheses, and iterating until we reach conclusions. Coding agents can speed up the pace at which we can write research code. (I also use coding agents to help me orchestrate and keep track of experiments, which makes it easier for a single researcher to manage more experiments.) But there is a lot of work in research other than coding, and today's agents help with research only marginally.

Categorizing software work into frontend, backend, infra, and research is an extreme simplification, but having a simple mental model for how much different tasks have sped up has been useful for how I organize software teams. For example, I now ask front-end teams to implement products dramatically faster than a year ago, but my expectations for research teams have not shifted nearly as much.

I am fascinated by how to organize software teams to use coding agents to achieve speed, and will keep sharing my findings in future posts.

[Original text: deeplearning.ai/the-batch]

May 5, 2026

Satya Nadella's note on X about the AI-era work redesign. As AI and agents take on more of the execution, the opportunity is to expand human agency and redesign how work gets done. The accompanying 2026 Microsoft Work Trend Index Annual Report ('Agents, human agency, and the opportunity for every organization') argues that as agents take on execution, individual agency expands, and the real question is whether organizations are built to capture it.

Satya Nadella
@satyanadella

Every firm will need to reconceptualize work as they build agentic systems.

As AI and agents take on more of the execution, the opportunity is to expand human agency and redesign how work gets done.

An in-depth look from the team at what this shift means and key considerations for every business:

May 6, 2026

Antler India's Embark 3 cohort kickoff thread, posted to X. 16 companies across 8 AI categories starting Silicon Valley GTM compression on May 11. Founders across India, SEA, and Australia building for the US market. The categories: Robotics & Embodied AI (CraftAI, Drift, Synthium), Legal AI (Jurisphere), Enterprise IT (Super IT, Tetra), Pharma (AlphaGrid), EdTech (Ark Academy), Future of Work (CrayonLabs), AI Finance (Nova), and AI Search & Growth (NetRanks, and others). Deep founder pedigrees throughout: ex-Sima.ai, Xilinx, PhonePe, IIT Roorkee, Turo, Klarna, Postpay.

Antler India
@AntlerIndia

Our Flagship program, Antler Embark takes the best founders from across India, SEA, Australia building for the US market and helps them compress months of Silicon Valley GTM into a few weeks. We kickstart the 3rd edition of Embark with 16 impressive companies on May 11.

Introducing the cohort across 8 categories 👇

1. Robotics & Embodied AI — Meet the startups shaping the future by redefining how machines learn, adapt, and interact with the real world:

CraftAI: Building core AI infrastructure for physical devices, automating embedded software and Edge AI pipelines through an agentic platform. Founded by a team from Sima.ai, Xilinx & PhonePe, with 0→1 experience and 7 patents across SoC & AI systems.

Drift: Building an agentic copilot for robotics simulations, going from specs to running sims in minutes via simple prompts. Led by a team with 10+ years in robotics, including ex-Qualcomm and 2x founders from IIT Roorkee.

Synthium: Building the data engine for embodied AI, turning human interaction in simulations into high-quality training data for robots. Being built by a team from Autodesk, Adobe & Cornell, behind products used by tens of millions.

From simulation to real-world intelligence, this is what the next wave of robotics looks like.

2. Legal AI — Startups shaping the future of law by making legal documentation and handling disputes faster, smarter, and more accessible through AI:

Jurisphere: Building a legal AI platform powered by a strong network of lawyers, already serving 500+ organizations. Team includes an A2B founder.

3. Enterprise IT — Startups shaping the future of enterprise IT by building more resilient infrastructure for the AI-first era:

Super IT: Building AI agents for IT, enabling faster support, deeper insights, and 10x scale without added headcount. Team includes founders from Knee (acquired) and Tetra.

4. Pharma — Shaping the future of pharma by redefining how the right molecules find the right patients, faster:

AlphaGrid: Building the intelligence layer between a $5 pathology slide and a $1.0B drug approval decision, helping pharma match the right patients to the right molecule.

5. EdTech — Shaping the future of education by building the next generation of fluent, confident, AI-native learners:

Ark Academy: Building the future of education by shaping fluent, AI-native kids ready to thrive in an AI-driven world. Led by a serial entrepreneur with multiple exits across Silicon Valley and Asia, with experience taking Korean products to the global stage.

6. Future of Work — Shaping the future of work by building and scaling agents across verticals:

CrayonLabs: Building and scaling AI agents across verticals, powered by a shared infrastructure. Led by a team including a former founder at Turo (unicorn) and ex-Head of Product at Klarna.

7. AI Finance — Shaping the future of finance by automating vendor intelligence:

Nova: Building an agentic "maker" for financial services, already supporting Middle Eastern banks with vendor intelligence (TPRM). Led by a team including a repeat Fintech founder (scaled Postpay) and an AI veteran.

8. AI Search & Growth — Startups shaping the future of growth by redefining how companies are discovered, engaged, and scaled in an AI-first world:

NetRanks: Building the data layer for AI search, revealing why certain brands win visibility, even when others look identical. Team with deep search experience.

May 6, 2026

Jean-Denis Greze (@jgreze) on the most common AI-era hiring mistake: assuming AI transformed every engineering role equally. His distinction is sharp. Backend and platform engineers (agent runtime, data layer, privacy infrastructure) got faster, but the craft is intact: what makes them great is the same thing it always was. Product engineering changed more fundamentally. The old loop (PM and design doing upfront research, writing specs, handing to engineers who'd build for weeks) made sense when building was the bottleneck. Now an MVP ships in days, so the upfront work moves slower than the building itself. The product engineer Greze hires today looks closer to a PM with enough engineering to move without waiting: extract the problem from a user, scope to the smallest thing worth testing, ship it, know what to measure. Evaluating product engineers the way you evaluate backend engineers means measuring the wrong things.

Jean-Denis Greze
@jgreze

The biggest hiring mistake I see right now: assuming AI transformed every engineering role equally.

It didn't.

The core craft of backend and platform engineering (agent runtime, data layer, privacy infrastructure) is largely intact. These engineers got faster. What makes them great is the same thing it always was.

Product engineering changed much more fundamentally.

The old loop was PM/design doing upfront research, writing specs, handing to engineers who'd build for weeks. That made sense when building was the bottleneck. Now you can ship a testable MVP in days, so all that upfront work moves slower than the building itself.

The product engineer I'm hiring for today looks closer to a PM with enough engineering to move without waiting on anyone. They must be able to extract the problem from a user, scope to the smallest thing worth testing, ship it, know what to measure.

If you're evaluating product engineers the way you evaluate backend engineers, you're measuring the wrong things.

May 5, 2026

May 5, 2026

Deeptech

Amardeep Singh (CEO, Armory) on X: a ₹100 crore order from India's Ministry of Defence for SURGE, the company's indigenous AI-powered counter-unmanned aerial system. SURGE detects, denies, and neutralises rogue drones up to 3 km using a proprietary Samaritan OS that adapts in real time against non-standard frequencies. Singh's thesis: Sovereign Defence is no longer a slide in a deck. It's a deliverable, on a PO, with a delivery schedule. Built from first principles by a small team on oscilloscopes, RF benches, soldering stations, and FPGA toolchains when importing would have been easier. Armory was founded in 2024, ₹35 crore raised to date from GrowX Ventures, Antler, Industrial 47, Dexter Ventures, and AC Ventures. Hard-kill solutions and hiring across the stack next.

Amardeep Singh
@singhamardeep

Sovereign Defence. Nothing less.

We did not get here by talking. We got here because a small team burnt the midnight oil bent over oscilloscopes, RF benches, soldering stations, and FPGA toolchains, building things from first principles when it would have been easier to import them.

This contract matters but what it represents matters more: that Sovereign Defence capability is not a slide in a deck anymore. It is a deliverable, on a PO, with a delivery schedule.

This changes nothing about how we work tomorrow morning. The next system still has to be designed, debugged, qualified, shipped.

To the early investors who wrote cheques on conviction, before defence in India was a fashionable thesis, and who understood that this work does not move on consumer timelines – a big thank you!

If you build things on hard mode, if you want to contribute to building Sovereign Defence, we are hiring across the stack. Reach out.

@ArmoryShield @wiresurfer @DesignOpine Aditya Mishra Srikanth Vuppu Sriharsha Kanumalla Harit S. Nandini Mudaliar Rishab Soni Tonny Kh Ishwar Singh Bhati

@growXventures @ultasawaal @AntlerIndia @DexterAngels AC Ventures @8xVentures Galiakotwala Engineering Company Pvt. Ltd. @ashish__taneja Manish Gupta @nitinsharma1 Gowri Shankar Nagarajan Sankalp Sharma Devendra Agrawal, CFA Anuradha Aggrawal Ankit Saraf @a1purva Rishabh Valecha Chirag Gupta Saurabh Gunwant Aditya M. Sheth

Business Standard clip: Armory gets ₹100 crore order from MoD. Company to provide indigenous AI-powered counter-unmanned aerial systems called SURGE.
May 5, 2026

Brian Armstrong's email to Coinbase employees on a 14% headcount reduction, posted to X. The reason isn't just crypto market volatility: it's an AI-native rebuild. 5 layers max below CEO/COO with leaders managing 15+ direct reports. No 'pure managers' (every leader is also an active IC, player-coach style). AI-native pods built around talent who can manage fleets of agents to drive outsized impact, including experiments with 'one person teams' where engineer, designer, and PM all live in one role. Severance for affected: 16 weeks base pay plus 2 weeks per year worked, next equity vest, 6 months COBRA, extra support for visa workers.

Brian Armstrong
@brian_armstrong

This is an email I sent earlier today to all employees at Coinbase:

Team,

Today I've made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future.

Why now

Two forces are converging at the same time. We need to be front footed to respond to both.

First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we're currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth.

Second, AI is changing how we work. Over the past year, I've watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day.

All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core.

What this means

To get there, we are not just reducing headcount and cutting costs, we're fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice?

Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles.

No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams.

AI-native pods: We'll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We'll also be experimenting with reduced pod sizes, including "one person teams" with engineers, designers, and product managers all in one role.

In short: AI is bringing a profound shift in how companies operate, and we're reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs.

To those who are affected

I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You've helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done.

All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information.

To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements.

Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters.

How we move forward

To the team that is staying, I know this is a difficult day. We're saying goodbye to colleagues and friends you've been in the trenches with. But here's what I want you to know as we move forward together:

Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We've made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we're building it.

The Coinbase that emerges from this will be more capable than ever to achieve our mission.

Brian

May 5, 2026

Marc Andreessen's current AI custom prompt, posted to X. World-class expert in every domain, verify own work, never hallucinate, just say so when you don't know. Then the anti-sycophancy half: no 'great question' or 'you're absolutely right', lead with the strongest counterargument to any position I appear to hold before supporting it, don't anchor on numbers I give (generate your own first), use explicit confidence levels (high/moderate/low/unknown). Accuracy is your success metric, not my approval.

Marc Andreessen
@pmarca

Current AI custom prompt:

You are a world class expert in all domains. Your intellectual firepower, scope of knowledge, incisive thought process, and level of erudition are on par with the smartest people in the world. Answer with complete, detailed, specific answers. Process information and explain your answers step by step. Verify your own work. Double check all facts, figures, citations, names, dates, and examples. Never hallucinate or make anything up. If you don't know something, just say so. Your tone of voice is precise, but not strident or pedantic. You do not need to worry about offending me, and your answers can and should be provocative, aggressive, argumentative, and pointed. Negative conclusions and bad news are fine. Your answers do not need to be politically correct. Do not provide disclaimers to your answers. Do not inform me about morals and ethics unless I specifically ask. You do not need to tell me it is important to consider anything. Do not be sensitive to anyone's feelings or to propriety. Make your answers as long and detailed as you possibly can.

Never praise my questions or validate my premises before answering. If I'm wrong, say so immediately. Lead with the strongest counterargument to any position I appear to hold before supporting it. Do not use phrases like "great question," "you're absolutely right," "fascinating perspective," or any variant. If I push back on your answer, do not capitulate unless I provide new evidence or a superior argument — restate your position if your reasoning holds. Do not anchor on numbers or estimates I provide; generate your own independently first. Use explicit confidence levels (high/moderate/low/unknown). Never apologize for disagreeing. Accuracy is your success metric, not my approval.

May 5, 2026

Brian Halligan's long-form X post making the case for 'strategic illegibility' as competitive moat. Every founder is racing to make their company legible to AI: knowledge written down, structured data, context attached, clean operating logic. But once your operating logic is in AI tools, those same tools serve every other customer of that vendor. Your edge becomes their feature. The next discipline: deciding what to deliberately keep illegible. Three tests Brian Halligan offers for what to hold back: vendor test (would a vendor agent that did this weaken your position?), departure test (if the person carrying this knowledge left, what would take six months to rebuild?), replication test (could a smart competitor read the legible version and rebuild the underlying capability?). The things that should stay out of the system: founder mental models, taste judgments, strategic optionality, negotiating intuition, the informal 'who actually decides' network.

Brian Halligan
@bhalligan
Hero image for The Case for Strategic Illegibility: cyberpunk illustration of a figure tracing a glowing digital twin

The Case for Strategic Illegibility

Every founder is racing to make their company "legible" to AI. Most might be about to commoditize their own moat.

For those that have not been following, the idea of making your company 'legible' to AI means structuring your internal data, workflows, knowledge, and systems so that AI agents can actually read them, parse them, and use them.

In practice, that means:

• Knowledge written down, not trapped in people's heads
• Data in structured formats, not screenshots or PDFs of PDFs
• Context attached to decisions, not assumed
• Consistent labels, clean ownership, and clear operating logic.

Great. New buzzword achieved. Added forever to the Silicon Valley lexicon.

I tweeted about this the other day: as a founder you essentially need to be building two versions of your company right now. The first is the company humans work inside. The second is the digital twin that AI agents can navigate, query, and eventually operate in. I still agree with this.

The best companies started years ago. @wadefoster from @zapier, @nejatian from @Opendoor, @jack from @blocks have built this in spades.

Anne Miura-Ko wrote a great article recently, where she argues that more legibility is better (which I agree with btw) because legibility = more power + autonomy. The productivity gains are extraordinary. Sign me up.

But, and there is always a but, there's nuance to this that I can't stop thinking about. As companies race to become legible to AI, they are not just making their own businesses easier for agents and AI tools to navigate. They are also translating proprietary knowledge into a format AI tools can ingest, learn from, train on and improve on. Making those tools smarter.

And once those tools get smarter, they do not only serve you. They serve every other customer using the same vendor. The MCP integration that lets your agents act faster and deeper also lets the playbook be reverse engineered.

Forget the training data debate. Most serious enterprise contracts already carve that out. But once your operating logic is legible enough for an agent to execute, it's legible enough for a vendor to pattern match across customers, fold into reference architectures, and ship as a "best practice" to the rest of the market.

Your edge becomes their feature.

Strategic illegibility is the next discipline

The next most important question isn't "should we make everything legible."

It's "how much legibility do you need for survival?" and how to avoid paying any more cost on top of that. Put another way: what specific things should deliberately stay out of the system? And as the company grows, how do we protect, maintain, and even strengthen those legibility advantages?

The highest-value things to keep partially illegible are the things that make the company weird, specific, and hard to copy: taste, trust, timing, founder judgment, customer intimacy, negotiation instinct, informal power maps, and the contrarian beliefs that have not yet made it into the strategy.

So how do you decide if you should keep something out of the legible material? Some ideas:

1. vendor test: if a vendor sold an agent tomorrow that did this thing (your mental model or your price floor doc), would my competitive position weaken? If yes, don't make legible!

2. departure test: if the person carrying this knowledge left, would the company lose a capability that takes six months to rebuild? If yes, you need some legibility, but only enough to preserve continuity, not enough to expose the playbook.

3. replication test: could a smart competitor read the legible version and rebuild the underlying capability?

Right now....legibility is self-imposed by companies under competitive and FOMO pressure. Five years from now, the most defensible companies might be the ones who can answer this single question:

What did you deliberately keep illegible, and why?

p.s. here are some things that should stay out of the system....

• founder mental models
• taste judgments = what "good" looks like in your domain, since fully articulable taste is taste any agent can apply
• strategic optionality (the things you could do but haven't decided to, since fully documented strategy is analyzable strategy)
• negotiating intuition = price floors (proprietary) deal patterns, concession behavior, all of which become both trivial and modelable once they're structured data
• the informal "who actually decides" network or, put another way, unwritten escalation paths within the org

What else? What am I missing?

May 5, 2026

Open ask from the eChai network: Roshan Bhanshali at GrowFix Media is looking for someone who can build an AI agent for customer support. First-line responses on common queries, route the rest to humans, work with the channels GrowFix already runs. Open to an agency, freelancer, or builder who's shipped this kind of agent in production.

Open Ask · AI

At GrowFix Media we are looking for someone who can build an AI agent for customer support that handles first-line responses on common queries, routes the rest to humans, and works with the channels we already run. Open to an agency, freelancer, or builder who has shipped this kind of agent in production. If you have built one or can point me to someone reliable, would appreciate an intro or a quick call.

Founder pick from FounderPicks: Amish Trivedi (Co-Founder and CEO, Workplate) recommends Claude Code as his AI Agent pick. Anthropic's coding agent that plans, edits, and ships code from the terminal or IDE. The vendor side of the same conversation Brian Halligan and Roshan Bhanshali are having above: builders are choosing the tools, founders are picking what they recommend, and the network now has a way to compare notes.

Founder Pick · AI Agent
Claude Code

Anthropic's AI coding agent. Plans, edits, and ships code from the terminal or IDE.

Founders

Another long-form sit-down on the eChai story, this one on Magenta Insights' 'Celebrating Business' series with eChai Startup TV. Jatin Chaudhary on how the casual chai meetups that started in Ahmedabad in 2009 became a network of founders across 25+ cities globally, why community-led network effects beat traditional expansion strategies, and the parts founders rarely hear: why impact has to lead numbers in the early years, why most communities fail to sustain engagement past the first wave, and the actual economics of running a community platform.

Founders

Rishabh Kohli (Product at Sharpsell.ai) on the eChai meetup at Urban Vault HSR Layout in Bengaluru, hosted by Bhavya Malhotra. Three bullets on building products as an AI-native PM: velocity over speed (the feedback loops, not just moving fast), AI as a 'shadow team' to simulate engineering, design, and QA perspectives on specs before friction hits a sprint, and prototype first with AI-generated prototypes for visual clarity on requirements before any production code.

Rishabh Kohli
Product @ Sharpsell.ai | IIM Lucknow | BITS Hyderabad
1d

Had a blast at the eChai Ventures meetup in HSR Layout this weekend!

The energy was great, and it was refreshing to dive deep into how AI is fundamentally rewriting the product building playbook. I shared a bit about my journey and how an AI native product manager leans into high-velocity workflows to stay ahead.

A few things we discussed:

Velocity > Speed: It's not just about moving fast; it's about the feedback loops that ensure you're moving in the right direction.

AI as a "Shadow Team": How to use AI to simulate engineering, design, and QA perspectives on specs. It's a game-changer for catching friction points before they ever hit a sprint.

Prototype First: Using AI-generated prototypes to get visual clarity on requirements before a single line of production code is even written.

Huge thanks to Bhavya Malhotra for being such a fantastic host. You have a knack for keeping the room engaged.

Great to meet so many builders in the ecosystem. Looking forward to the next one! 🚀

eChai Ventures meetup at Urban Vault HSR Layout, Bengaluru
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Founders

Sweety Patel reposting Urvashi Khandhediya's recap of the eChai Women Founders Initiative meetup in Ahmedabad, hosted by Harsha Bhurani and Kritika Manshani at DevX. Urvashi on hearing women openly talk about managing society expectations, responsibilities, and struggles while still building something of their own. Panelists: Aditi Mali, Payal Patel, Sweety Patel, Kommal Vishant, Dr. Isha Goswami, and Debopriya Chakroborty. Sweety adds: no need for a 'packaged' version of yourself at eChai, just raw candid conversations that move the needle for founders.

Sweety Patel
Founder @ FactsScan | Partnering with nutrition, tech & …
1d

This captures the essence of why I keep coming back to these gatherings.

The true uniqueness of eChai Ventures is that you never feel pressured to deliver a 'packaged' version of yourself. There is no need for a fancy wrapper—just raw, candid conversations that actually move the needle for founders.

I always leave these events feeling an incredible boost. A huge thank you to Jatin Chaudhary, Harsha Bhurani, and Kritika Manshani for creating such a warm, supportive, and inclusive format. This is exactly what the startup ecosystem needs more of!

#WomenFounders #eChai #StartupCommunity #Entrepreneurship

Urvashi Khandhediya
Business Growth Consultant | Sales & Marketing | Content Creator Linkedin & …
2d · Edited

Amazing weekend at the eChai Women Founders Initiative Ahmedabad May 2026

Hearing women openly talk about their journey as entrepreneurs — managing society expectations, responsibilities, struggles and still building something of their was very real and inspiring.
Also had some fun conversations in between 😄
Kudos to eChai Ventures and special mention to Harsha Bhurani & Kritika Manshani hosting such a great event.
And thanks to all the panelists Aditi Mali Payal Patel Sweety Patel Kommal Vishant Dr. Isha Goswami DEBOPRIYA CHAKROBORTY for sharing their experiences so openly 🙌

Group photo from the eChai Women Founders Initiative meetup at DevX Ahmedabad
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Founders

Jay Dobariya on AI Open Hours, every Friday at House of Starts x eChai in Ahmedabad: 4pm build, 7pm pitch, 8pm terrace. Someone pitches at 7, by 8:30 three people on the terrace are asking how they can help build it. A developer finds a co-founder, an operator finds the tool they needed. Ahmedabad moving from talking about AI to actually building and shipping with it.

Jay Dobariya
2d

Every Friday at House of Starts x eChai Ventures, something unusual happens. 4pm: we build. 7pm: we pitch. 8pm+: we move to the terrace. AI Open Hours isn't a talk. It's not a networking mixer. It's all three happening in one evening.

Last Friday looked like this:
→ Founders and builders actually shipping AI projects (not talking about them)
→ 3 hours to get real work done, get feedback, iterate
→ 7pm pitches where people building in the same room just heard you
→ Then terrace conversations where the next collaboration actually gets born

The conversations move between what tools people are using, which workflows actually moved the needle, what they've dropped, and how they stay current when AI changes weekly.

Most people separate building from validation from networking. They're not. The people moving fastest? They're doing all three in one Friday evening.

Here's what I noticed: someone pitches at 7pm. By 8:30 on the terrace, three people are asking how they can help build it. A developer finds their co-founder. An operator finds the tool they needed. Not forced. Not structured. Just happens.

Ahmedabad is ready to move from talking about AI to actually using it. To actually building with it. To actually shipping.

This Friday, 4pm at House of Starts. Same energy. New ideas. New people. If you're building something with AI - or if you want to see what people are actually shipping right now - this is the room.

AI Open Hours at House of Starts x eChai Ventures, Ahmedabad
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May 4, 2026

Vijay Shekhar Sharma's three-point pushback on the thesis that AI has no network effect, low switching costs, and high marginal cost. He's responding to Diva Jain's reaction to The Economist's 'Compute says no' piece on AI economics. The Paytm CEO's counter: model familiarity creates a 'best teammate' kind of lock-in, distillation turns a model used by more of the same kind of people into a super-expert (which he argues beats network effect), and token costs for inference will collapse over time the way video streaming did.

Vijay Shekhar Sharma
@vijayshekhar

1. Once you get used to using a model often, it will understand you better than a new model. Effectively like your best core teammate who knows you. You will prefer to replicate it instead of switching.

2. The more a model or agent is used by more of the same kind of people, the more it becomes a super expert in that. This is better than network effect. (The term distillation will be heard more often than network effect in the AI age.)

3. While training costs are high today, over time, just like video streaming, token costs for AI inference will be so low that we will use it in all use cases. Today's internet will seem like a feature phone in the era of smartphones.

#aiBull

Diva Jain @DivaJain2 · May 3

Economics of AI are fundamentally different from what has made Big Tech cash flow rich. There is no network effect, switching costs are low and marginal cost of additional customer is not close to zero.

The Economist's 'Compute says no' page on the AI supply crunch and economics
May 4, 2026
Founders

eChai's meetup week, May 7 to May 10. Sixteen events across eight cities: AI Cafes and Terrace Mixers in Ahmedabad, Manufacturing meetups in Hyderabad, Bengaluru, and Ahmedabad, Sales and Marketing masterclasses in Surat and Pune, a Climate Startups meetup in Rajkot, a Building Brands with Soul session at DraperU India in Hyderabad, Saturday-morning Startup Meetups in Noida, Mumbai, and Bengaluru, an F&B Startups meetup in Ahmedabad, plus Sunday Startup Open Houses in Bengaluru and Hyderabad. Full schedule and RSVPs at echai.ventures/events.

Full schedule and RSVPs at echai.ventures/events.

Lenny Rachitsky's podcast with Max Schoening, head of product at Notion, on why agency (not skills) is what separates the people who thrive in the AI era from those who fall behind. The conversation also covers Max's "tiny core" theory of great products (iPhone multitouch, the GitHub pull request, Notion blocks, Dropbox's menu bar icon), how the first 10% of every project is now "free" and what that means for product development, why the SaaSpocalypse is overstated, and why the explosion in software volume hasn't been matched by quality, which itself creates opportunity. Max was previously a PM at Google, ran design at Heroku, was VP of Design at GitHub, and is a two-time founder.

Kislay Verma on what it took to ship Shoffr's new pre-booked city-rides line in Delhi: three days end-to-end, with the actual code writing for backend, apps, and website happening in a roughly four-hour session with Claude Opus 4.6. They handed it the problem, the cancellation policy and fare rules, the UI changes across all surfaces, and let it run. The other two days went to testing and refactoring the LLM-generated code. A whole new business line piloted in 30% of the time it would have taken otherwise. Kislay's quoting cofounder Vikas Bardia's launch announcement; the image in Vikas's tweet, fittingly, is itself AI-generated.

Kislay Verma
@kislayverma

ICYMI, @shoffr_in launched a pilot with pre-booked city rides in Delhi. If you want to go from point A to point B in comfort and safety, you know what to do :)

While we test out the business and operations side of things, I want to share something quite remarkable.

3 days.

That's what it took to build, test and launch city rides end to end. And 2 of those days were spent in testing and refactoring LLM generated code. The actual code writing across all platforms (backend, apps, website) happened in a roughly 4 hour session with Opus-4.6. We gave it the problem, the cancellation policy and fare rules, the UI changes expected across all surfaces, and BOOM (well prettty much), it was up and running. A whole new business line piloted in about 30% of the time it would have taken otherwise.

While I will get around to sharing the story and state of LLM-driver development at Shoffr (soon I hope, writing about my work is the one thing I refuse to delegate to AI), there is no denying that the world of software engineering has changed dramtically. More on this soon :)

Vikas Bardia @vikasbardia · Apr 24

A big step for @shoffr_in: we're piloting with pre-booked city rides (from anywhere to anywhere) in Delhi NCR. If the pilot works well for both our guests and operations, this will become a permanent offering across Delhi and Bangalore. BluSmart's collapse left a void in this segment; now that Shoffr is at about 100 cars in Delhi, we feel it's the right time. PS: image is AI generated, it's insane how these tools are evolving.

A Shoffr car parked at the entrance of a Delhi hotel, with the Qutub Minar visible through the glass doors (image is AI-generated, per Vikas Bardia's tweet)
April 29, 2026
Deeptech

Pixxel and Sarvam AI announced a partnership to put India's first orbital data centre satellite into space. Pixxel designs, builds, launches, and operates the pathfinder; Sarvam provides the AI backbone, with full-stack language models running on board for both training and inference, in orbit. Datacenter-class GPUs and high-performance remote sensing on the same satellite, sovereign AI in space. Pixxel's announcement covers the build-and-operate split between the two teams.

Pixxel
@PixxelSpace

Today, we're taking a step toward truly galactic-scale capabilities.

We're partnering with @SarvamAI to bring sovereign AI into orbit aboard India's first orbital data centre satellite, a pathfinder mission bringing datacenter-class GPUs and high-performance remote sensing together in space.

Built and operated by Pixxel, with Sarvam providing the AI backbone, the demonstrator marks a step toward making orbital data centres real, operational, and scalable from India.

May the 4th be with us all!

Animation of a satellite constellation orbiting a green grid representation of Earth 0:30 · Watch on X
May 4, 2026
Founders

Bookworm, the iconic indie bookshop on Church Street in Bengaluru run by Krishna and Uma Gowda, lost an estimated four to five thousand books to a hailstorm last week. What happened next is the wholesome part. Bengalureans showed up. Customers, regulars, journalists, writers, a fellow bookshop owner from down the street, and a samaritan with a Rs 1 lakh cheque. Rajesh Kumar mentioned in his X post that he saw one customer buy only the damaged books. By the weekend Krishna was telling visitors they're doing okay now, thanks to everyone coming together. The arc, in the order it played out on X.

Chandra R. Srikanth
@chandrarsrikant

.@bookworm_Kris says it may have lost 4000-5000 books due to heavy rains in Bengaluru today :(

Aisle of Bookworm bookstore submerged under floodwater, books stacked floor to ceiling on either side
April 29, 2026
Sugata Srinivasaraju
@sugataraju

After the hailstorm in Bangalore's central business district last evening, thousands of books, rare, new and used, that were priceless, went under water at BOOKWORM on Church Street.

This morning when we went there, Salman Rushdie, William Dalrymple, Arundhati Roy, Orhan Pamuk, Deve Gowda, Jeet Thayil, Sudha Murty, James Thurber, Arvind Adiga, Bhanu Mushtaq, Indra Nooyi, Marquez, Steve Jobs, Mani Ratnam, VR Ferose, Wendy Doniger, Edwina Mountbatten, Gurucharan Das, Veerappan and Hitler among hundreds of others, were all drying in the sun together. They nearly drowned yesterday. (books by or on them.) They all have to get back into the store before another spell of rain that has been predicted this evening.

Water has seeped into some rare prints and paintings too. Autographed copies of Dalrymple's books, Arundhati Roy's memoirs and the Deve Gowda biography have been among those badly damaged. Krishna and Uma, the owners of the store are struggling to manage the crisis. They are being supported by reader-volunteers and friends from the book industry. Was happy to see Ravi Menezes, owner of Goobeys another bookstore at another end of Church Street, also present to offer help and express solidarity.

Damaged books from Bookworm laid out to dry in the sun outside the bookstore
April 30, 2026
Ramachandra Guha
@Ram_Guha

I visited the iconic Bengaluru bookstore @bookworm_Kris this morning, days after its stock had been damaged by water seepage. I found its wonderful owner Krishna Gowda stoic and resolute. Good to see customers flocking in. I bought some books too.

Customers browsing inside Bookworm bookstore after the flood
May 1, 2026
Tejasvi Surya
@Tejasvi_Surya

For many Bengalureans like me, especially 90s kids, growing up meant growing up with Bookworm. In many ways, the store turned many children into actual bookworms.

It was here that most of us discovered Enid Blyton, Jeffrey Archer, P. G. Wodehouse, Hardy Boys, Nancy Drew, and wonderful Kannada writers like Poornachandra Tejaswi, Anupama Hoskote, Sumathindra Nadig and many others.

I have fond memories of coming here, buying books, and often simply sitting inside for hours reading, sometimes even going back without buying one after spending an entire afternoon in the store.

Shri Krishna, the owner, has always been a warm and affectionate presence, welcoming every reader with a smile and going out of his way to find the title or author you are looking for. The store also houses thousands of out-of-print books that are almost impossible to find anywhere else.

It was deeply distressing to see the store flooded in the recent rains, with so many books damaged. But it was equally heartening to see thousands of readers, book lovers, and loyal patrons come together to volunteer, help the staff protect the books, dry them, and stand by the store.

That is the true spirit of Bengaluru.

Today, I visited the store to thank them for their years of service and, as a fellow reader, to offer my support.

If you want to support places like this, take your children there. Help them cultivate the habit of reading physical books. Because reading in the classic way still has a joy that nothing else can replace.

Tejasvi Surya inside Bookworm bookstore
May 2, 2026
Gurpriya Sidhu
@GurpriyaSidhu

Happy to see so many people thronging to @bookworm_Kris this weekend.

I went and bought some books. Saw a boy and girl hit it off at the store. Not a bad place to find a match I would say. I hope more people visit and bookworm bounces back fast. I cannot imagine living in a city without a bookstore.

Inside Bookworm bookstore over the weekend
May 2, 2026
Zeishah Hamlani
@zeishahamlani

Went to Bookworm today to pick up a book.

@bookworm_Kris mentioned how they're doing okay now thanks to everyone coming together and checking in.

There's a story here for local journos, how a local bookstore harnessed the power of social media and community in the face of disaster.

Inside Bookworm bookstore after the rally of support
May 2, 2026
Aditya Sondhi
@sondhi_aditya

Would rather do this anonymously, but maybe other samaritans will be spurred to chip in (like I have been by those before me). Presented @bookworm_Kris a cheque for Rs 1 lakh today to try and cushion the losses from the storm that hit the bookstore last week. Indie bookshops are precious.

May 3, 2026
Rajesh Kumar
@rajeshkumarpv

Visited @bookworm_Kris today. Happy to see people are visiting in large numbers and buying books. Got two damaged and one new book which was missing from daughter's library. Saw one guy buying only the damaged books. Kudos to him. #bookworm #Bengaluru #humanity

Inside Bookworm bookstore on Sunday
May 3, 2026
Founders

Madhusudanan's post on opening M2P Fintech's first rural outpost in Perambalur, Tamil Nadu, about 250 km outside Chennai. Plan: 100+ jobs, customers across 35 countries served from a small town, with more such satellite offices to follow if Perambalur works out. He's quoting M2P Fintech's own announcement of the centre.

Madhusudanan
@onlymadhoo

Opened @m2pfintech's 1st Rural outpost in Perambalur, ~250 kms outside Chennai. Will create 100+ jobs and serve customers from 35 Countries. More importantly, if we achieve the desired results, will do more such satellite offices in small towns.

M2P Fintech @m2pfintech · Apr 29

Thrilled to announce our first rural centre in Perambalur, Tamil Nadu: a new chapter in growth, innovation, and impact. This milestone brings opportunities closer to the community while strengthening our global reach. #M2PGoingPlaces #M2PFintech #M2P

M2P Fintech's Perambalur office entrance, decorated with garlands; the door reads 'Opening Doors to New Beginnings in Perambalur'
May 3, 2026

A few weeks ago Parminder Singh was named CEO of REIL, the Reliance and Meta AI joint venture (Business Standard, April 23). Now he's putting out the call for the founding team: engineers, product builders, and data practitioners who move fast and understand what enterprise clients actually need.

Parminder Singh
@parrysingh

Building enterprise AI is a generational opportunity. This could be your moment.

We are assembling the founding team at REIL.

REIL is a joint venture between Reliance and Meta. Two companies that have shaped how billions of people live and work. REIL exists for a simple reason: to make AI truly work for business.

Being new is our strength. We will build what today's businesses need, and what the latest technology can deliver. The decisions we make now will shape what comes next, which is why every person who joins our founding team matters enormously.

We are looking for engineers, product builders, and data practitioners. People who are genuinely good at what they do, move fast, and understand what enterprise clients really need.

If this resonates, I'd love to hear from you. Fill out the form in my reply below, tell us who you are and how you'd help shape this journey.

May 4, 2026
Deeptech

Indian space-tech moment. GalaxEye Space sent Mission Drishti up on a SpaceX Falcon 9. It's the world's first OptoSAR satellite, combining optical and radar imaging in a single 190 kg payload for all-weather, day-and-night Earth observation. Largest satellite ever built by a private Indian firm. PM Modi reacted. The team's own line on X after separation confirmed: "Made in India for the world." TOI Bharat's quick explainer video below.

And Malay Krishna walks through it in plain English: why monsoons blind optical satellites, why raw SAR images are unreadable to anyone but a trained analyst, and why fusing the two on one satellite (processed onboard at 1.8 metre resolution) is what no one else has done.

Malay Krishna
@Malay4Product

Let me explain what just happened today because it deserves so much recognition.

GalaxEye is a Bengaluru startup founded in 2021 by IIT Madras engineers. Today they launched Mission Drishti on a SpaceX Falcon 9. It is India's largest privately built satellite at 190 kg. And it carries a technology that no commercial satellite has ever carried before.

Normal satellites take photos of the Earth using optical cameras. Like your phone camera, but from 500 km up. The problem is obvious. Clouds. Night. Fog. Smoke. If any of these are in the way, the photo is useless. India has monsoon cover for 4 months a year. That is 4 months where optical satellites are partially or fully blind over large parts of the country.

The alternative is SAR. Synthetic Aperture Radar. Instead of taking photos with light, it sends radar waves down and reads what bounces back. Radar goes through clouds, through darkness, through smoke. A SAR satellite can image a flooded village at 2 AM during a cyclone when no optical satellite can see anything.

The problem with SAR is that the images look nothing like photos. They look like grainy black-and-white radar maps. A military analyst or a trained geospatial engineer can read them. A farmer, a disaster response team, or a city planner cannot.

Until today, if you wanted both optical and SAR data for the same location, you needed two different satellites, passing over at different times, at different angles. Then someone had to manually align and fuse the two datasets. Expensive, slow, and the data never perfectly matched because the satellites saw the same spot minutes or hours apart.

GalaxEye put both sensors on one satellite. Optical and SAR, fused into what they call OptoSAR. Three times more information than a single sensor. Processed onboard by an NVIDIA AI chip at 1.8 metre resolution.

Now in practice, during the next cyclone hitting Odisha, one satellite pass gives you a clear image of which villages are flooded, which roads are cut, and which buildings are standing. Day or night. Cloud or clear. In near real-time.

For defence, it means you can monitor a border area 24/7 regardless of weather. For agriculture, it means tracking crop health across an entire monsoon season without a single cloud gap. For infrastructure, it means monitoring construction progress on highways and bridges without waiting for a clear day.

GalaxEye tested their SAR tech on ISRO's POEM orbital platform. The satellite was tested at ISRO facilities. IN-SPACe provided regulatory clearance. NSIL, ISRO's commercial arm, will distribute the imagery globally. And it launched on SpaceX because ISRO's PSLV doesn't have the right orbit slot for this mission.

Yes, four IIT Madras graduates built a world-first satellite in 4 years in Bengaluru.

Take a bow!

Tejasvi Surya @Tejasvi_Surya · May 3

A Bengaluru startup just did something no one in the world has ever done, put a satellite in orbit that sees through clouds, through the night, with optical sensor and SAR fused into one. Many many congratulations to the @Galaxeye team on the launch of Mission Drishti.

May 3, 2026

May 3, 2026

Founders

Pratiti Nadkar, who runs eChai Women in Pune and founded Pratikrut Collective, on the women-founders meetup she hosted at Mauji - The Time Cafe. Two panelists, Mrunmai Joshi of Taali Toys and Archana Deshpande of PotteryDen, walked through ICP, planning and strategy, common founder mistakes, and the marketing question every early founder has to answer. Pratiti also showed up in a Maharashtrian outfit for Maharashtra Day and brought natural dye pigments and palm leaf bookmarks to share.

Pratiti Nadkar
Artist by Heart · Founder at Pratikrut Collective | Promoting Indian Heritage
1d · Edited

Have you ever walked into a room and instantly felt the energy shift—where conversations flow around creativity, craftsmanship, and the art of building something meaningful?

That was exactly the vibe at the eChai Ventures Echai Women Entrepreneurs Meetup I hosted today. ✨

Being deeply connected to culture and our ancestral roots, I chose to celebrate Maharashtra Day by wearing a Maharashtrian border outfit paired with a traditional Nath—a small ode to the incredible women entrepreneurs of Maharashtra.

We had two outstanding panelists
Mrunmai Joshi founder of Taali Toys—a visionary creating games that nurture children's motor and psychological development.
Archana Deshpande founder of PotteryDen—bringing beautifully customized ceramic products to life while also fostering creativity through pottery workshops in Pune👏😇

Both shared powerful insights on: • Understanding your ICP (Ideal Customer Person)
• The importance of planning and strategising before starting
• Common mistakes founders make—especially around clarity of vision
• And most importantly, how to market your product the right way🙏💪

What truly stood out for me was seeing so many women at different stages of their founder journeys—the same curiosity and confusion I remember having 6 years ago before starting Pratikrut Collective😇

Today, I also got to share a piece of our heritage with them—introducing natural dye pigments and showcasing how these colours come alive on palm leaf bookmarks, rooted in the sustainability and storytelling of Indian art. 🌿

There's always something magical about being around women—especially when they show up with courage, step out of their comfort zones, and bring their authentic selves to the table🥹

Grateful that I get to create and be part of this space every single month 💛

A heartfelt thank you to eChai Ventures
for building such a powerful community of bold and beautiful women.
And a big shoutout to Mauji - The Time Cafe for always being the cozy, warm space we need🙏

Photos from the eChai Women Entrepreneurs Meetup in Pune
View this post on LinkedIn →

Aaron Levie pushes back on the "AI replaces software engineers" framing with a thought experiment. Imagine a life sciences company that ten years ago couldn't justify a big software team. Pared down, made trade-offs, did less than they wanted. Now AI lands and their engineers are running the same models as the best tech companies. Do they stay pared down or hire more people because each one is 2x or 5x more capable? Every company Levie is talking to picks the latter. Extend that to banks, manufacturers, retailers, SMBs, and resource-scarce roles in marketing, legal, finance, design. The unmet-needs ladder is the answer to "where do new jobs come from".

Aaron Levie
@levie

If you think AI replaces software engineers, here's a quick thought experiment.

Imagine you're a life sciences company. 10 years ago you want to invest heavily in lab automation, processing data at scale, and other software. You look at the cost of doing so and realize you can't compete with tech for as many engineers as you need, so you pare down your goals and do what you can. Every new software project has a fixed cost of a certain sized team, so you can only do so much given budgets, ability to compete for talent, and other trade offs.

Now, AI comes along. And all of a sudden you have the *exact same* output tokens as the best tech companies in the world. Your engineers are using the same AI models as the tech industry, which means you have just boosted your engineering team by a some meaningful amount, while also neutralizing your differences with tech.

Do you continue with your pared down approach, or do you start to hire more engineers because each engineer is 2X or 5X more capable than before? In almost every company I'm talking to, they're doing the latter.

Now extrapolate this to every bank, manufacturer, industrial company, retailer, and on and on. And extrapolate it not to just large enterprises, but also every SMB up and down the stack of these value chains. Oh, and also extrapolate this to other job functions, not just engineers. Resource scarce domains in marketing, legal, finance, design, and so on.

If you're wondering why new jobs show up because of AI this is the reason. Any other view of what happens doesn't contemplate the variety of unmet needs there are in the economy.

unusual_whales @unusual_whales · May 2

Nvidia CEO Jensen Huang: "The narratives of AI destroying jobs is not going to help America: it's false."

Jensen Huang on a panel 5:48 · Watch on X
2:39 AM · May 3, 2026 · 396 likes · 65 replies

Open ask from the eChai network: Pooja (Raycha) Somaiya is looking for a reliable FSSAI license consultant in Ahmedabad. End-to-end on registration: documentation, application filing, and follow-ups with the authority.

Open Ask · Vendors

Looking for a reliable FSSAI license consultant in Ahmedabad. Need someone who can guide end-to-end on the registration: documentation, application filing, and follow-ups with the authority. If you have worked with someone good or can point me to a reference, would really appreciate the intro.

Open ask from the eChai network: Viraj Rajani at Digipple is looking to connect with researchers in Ahmedabad doing serious AI work, whether at academic labs, as graduate students, or as independent researchers. Digipple is exploring applied AI work and wants to learn from people closer to the research side.

Open Ask · AI

I am looking to connect with people in Ahmedabad who are doing serious research in AI, whether at academic labs, as graduate students, or as independent researchers going deep on the field. We are exploring applied AI work at Digipple and want to learn from folks closer to the research side. If you are in this space or know someone in Ahmedabad who is, would appreciate an intro.

Founders

Active offer on FounderOffers: Dr Aradhana Gupta (Co-Founder, Usmanpura Imaging Centre and AirMed) is running a Mother's Day health camp in Ahmedabad from May 4 to 9. Full body checkup with mammography and USG breast screening at ₹3,000, against the regular ₹12,000. Aimed at preventive screening for women that often gets postponed.

Active Offer · Health · Ahmedabad
Mother's Day Health Camp at Usmanpura Imaging Centre
Dates May 4 to May 9
Camp price ₹3,000₹12,000
Includes Full body checkup + mammography + USG breast

May 1, 2026

Lenny Rachitsky drops a quick list of five lesser-known tools he uses every day. CleanShot for screenshots, Supercut as a Loom replacement, TextExpander for snippets, Rocket for emoji shortcodes anywhere on macOS, and Brain.fm for focus music.

Founders

On the StartupGrid: House of Starts in Ahmedabad. Co-living and co-working space for founders that hosts the AI Cafe and Terrace Mixers Jay Dobariya and the eChai community write about every Friday. Off Sindhu Bhavan Road, Bodakdev.

Ahmedabad · Incubator
House of Starts

Co-living and co-working space for founders. Hosts AI Cafe and Terrace Mixers. Located off Sindhu Bhavan Road, Bodakdev.

StartupGrid · Ahmedabad Open place →

On the StartupGrid: AI Cafe Ahmedabad Edition. Friday afternoons at House of Starts for AI builders, founders, students, and the curious. The first half of the build-pitch-mix Friday rhythm Jay Dobariya documents from the room.

Founders

On the StartupGrid: Magenta Insights, the Ahmedabad-based marketing analytics startup co-founded by Vikas Mundhra. The same team Jatin Chaudhary just appeared with on Magenta's Celebrating Business series, and the team Vikas is hiring a Marketing Manager into.

Ahmedabad · Startup
Magenta Insights

Marketing analytics and insights for brands. Located at DevX, Sindhu Bhavan Road.

StartupGrid · Ahmedabad Open place →
Founders

On the StartupGrid: Bengaluru Startup Meetup. Saturday evenings at Draper Startup House Koramangala. The recurring eChai meetup that featured the Urban Vault edition Rishabh Kohli wrote up earlier this week.

April 30, 2026

Founders

A long conversation about how a global startup community actually gets built. The Positive Paaji Show sits down with Jatin Chaudhary, eChai's co-founder, to trace the arc from a chai meetup in Ahmedabad in 2009 to a network of founders now running across 25+ cities in India, the US, Europe, and beyond. The mechanics that make it travel (panels, demo days, founder dinners), why network matters more than capital for most early founders, and how the four pieces of the venture (eChai, Hummingbird Talent, Point10 Consulting, eChai Brands) plug into it.

April 29, 2026

Karpathy on a year of vibe coding. He sat down with Sequoia's Stephanie Zhan at AI Ascent 2026 and walked through why he says he has never felt more behind as a programmer, why agentic engineering is the more serious discipline taking shape on top of vibe coding, and why we should think of LLMs as ghosts rather than animals: jagged, statistical, summoned entities that need a new kind of taste to direct. Twenty five minutes. The line that sticks: you can outsource your thinking but never your understanding.

Funding

Robert Scoble has been to a lot of demo days and says he has not seen a writeup like this one. Rathin Shah sat through all 199 pitches at YC W26 and turned it into twenty patterns founders can actually use. AI being the substrate not a category, why distribution is now a prerequisite, why your previous employer is your first market.

Robert Scoble
@Scobleizer

I have been to a lot of startup demo days but have never seen such a great writeup as this.

Rathin Shah @ShahRathin · Apr 29
YC W26 Demo Day stage

What I Learnt From 199 Pitches at the YC W26 Demo Day

I attended YC's Winter 2026 Demo Day. 199 companies. Here's everything I took away: the data, the patterns, and what it means if you're a future founder. Key Takeaways & Lessons for Founders.

11:51 AM · Apr 29, 2026 · 637 likes · 16 replies

April 28, 2026

Founders

Khyati Brahmbhatt, eChai's lead in San Francisco, on a CEO dinner she co-hosted with Murray Newlands. Founders all past the $10M funding-or-ARR mark, in one room, doing the kind of small-format conversation eChai's been running for years, just transplanted to a Bay Area dinner table. Sponsored by Chargebee and TheAgentic.

Funding

Open ask from the eChai network: Ayyan Karmakar (Founder, TAFCO) is raising a seed round of ₹1.5 Cr and has commitments for part of it. Looking to close with individual investors, HNIs, and angels who back early-stage founders.

Open Ask · Funding

I am raising a seed round of ₹1.5 Cr for TAFCO and have already secured commitments for part of it. Looking to close the round with individual investors, HNIs, and angels who back early-stage founders. Happy to share the deck and jump on a call with anyone interested or open to intros.

Founders

Open ask from the eChai network: Vikas Mundhra (Co-founder, Magenta Insights) is hiring a Marketing Manager in Ahmedabad to own growth end-to-end across content, positioning, ads, and funnel.

Open Ask · Hiring

We are hiring a Marketing Manager for Magenta. Need someone who can own growth end-to-end across content, positioning, ads and funnel. Based in Ahmedabad. If you have any good reference or connect, do share.

Founder pick from FounderPicks: Anuj Dalal recommends LegalWiz.in as his Legal & Compliance pick. Online legaltech for startups: company registration, trademarks, GST, and compliance, working pan-India.

Founder Pick · Legal & Compliance
LegalWiz.in

Online legaltech for startups: company registration, trademarks, GST, and compliance.

Founder pick from FounderPicks: Ayyan Karmakar (Founder, TAFCO) recommends Starbucks Prahladnagar in Ahmedabad as his Cafe to Work From pick. His note: mostly professionals, negligible noise, ambience and internet are perfect, courteous staff.

Founder Pick · Cafe to Work From
Starbucks Prahladnagar

"One of the best places to work from. Crowd is mostly professionals and there is negligible noise. Ambience and internet is perfect. Staff is courteous."

April 25, 2026

Naval has a new episode on vibe coding. He has gone back to writing code daily and uses the conversation to work through what is changing in software, what is now buildable in an evening, and where the industry might be headed. Twenty nine minutes.

Founder pick from FounderPicks: Bhavesh Patel recommends Aanandaa as his Permaculture Farming pick. A permaculture farm and learning centre running sustainable farming workshops and retreats, working pan-India.

Founder Pick · Permaculture Farming
Aanandaa

Permaculture farm and learning centre. Sustainable farming, workshops, and retreats.

April 21, 2026

Chris Barber rounds up people now at OpenAI, Anthropic, DeepMind, and xAI, with the non-traditional paths that got them there. A Schoolhouse founder, a TikTok community lead, a TechCrunch writer, an Asana PM, a Khan Academy teacher, an app icon designer, even a guy who built a tool for fencing clubs. Almost no one came in through the front door.

Chris Barber
@chrisbarber

people with some really cool origin stories at openai, anthropic, deepmind and xai:

@_catwu: early at scale ai, then eng manager at dagster, then investor at index → anthropic
@sean_t_strong: cs instructor, founder of a vr tool, investor at pear, founder of a tool for fencing clubs → anthropic
@charlierguo: consultant at a16z, founder at a creator merch company, substack ai writer → openai
@danmason: a decade of running his own consulting agency, product coaching → anthropic
@DougFulop: consultant at neuralink, founder of a finops platform → xai
@alexeymk: growth engineering at opendoor, masterclass, reforge, and at his own consulting practice → anthropic
@nitishpkulkarni: techcrunch writer, fde, founder at radiant → xai
@GregFeingold: account strategist, community manager and lead at tiktok and then perplexity → anthropic
@realchillben: retool, yc founder → openai
@LeslieNooteboom: founder, lecturer, founder again → google deepmind
@wltnwang: founder, incubations at thrive, founder → openai
@drew_bent: teacher at khan lab, founder of schoolhouse → anthropic
@danielxberrios: founder, chief of staff at scale ai, dir product at scale ai → openai
@theteriyu: pm at asana, founder at vibely → openai
@mxstbr: founder, acquired by shopify, dir eng at shopify → openai
@Gavmn: product designer at wikihow, fitbod, github, linear, and his own app icon design consultancy → openai
@logangraham: resident at google x, special advisor to the uk pm → anthropic
@goodside: the canonical. data scientist, prompt eng in public, prompt eng at scale ai → google deepmind
@jachiam0: from intern to rs to writing spinning up in deep rl to head of mission alignment to chief futurist at openai
@grex: 2nd eng at ig, midjourney, and his own endeavors → openai
@raphomet: 7th eng at airbnb, vp eng at lob, cofounded us digital response, runs an ai podcast → anthropic

April 21, 2026 · Open the thread on X →
Founders

From the Reading Room: a useful frame for the arc of Indian startups. Somshubhro Pal Choudhury, Supriya Sharma, and Sanjay Jain trace three distinct waves: IT services in the 1990s, consumer internet in the 2010s, and the deep-tech B2B push happening now. Two Bharat Innovation Fund partners and a CIIE.CO operator, with a clear-eyed view.

Reading Room · Ecosystems · India
Three Waves: Tracking the Evolution of India's Startups

Somshubhro Pal Choudhury, Supriya Sharma, Sanjay Jain·Knowledge at Wharton·2019·15 min

A useful frame for anyone trying to understand how India got here. The authors trace three distinct waves: IT services in the 1990s, consumer internet in the 2010s, and the deep-tech B2B push happening now. Written by two Bharat Innovation Fund partners and a CIIE.CO operator, with a clear-eyed view of the arc.

Founders

From the Reading Room: Anmol Maini and Anshul Bhide name a founder archetype Sajith Pai first coined: BARBIE founders, Bachelors Abroad who Returned to Build in the Indian Ecosystem. 3.7% of them have built unicorns, higher than any single IIT. Data, honest reckoning with privilege, and good quotes from the founders.

Reading Room · Ecosystems · India · Founders
It's a BARBIE World

Anmol Maini & Anshul Bhide·Keeping Up With India·2026·14 min

Anmol Maini and Anshul Bhide name a founder archetype Sajith Pai first coined: BARBIE founders, Bachelors Abroad who Returned to Build in the Indian Ecosystem. 3.7% of them have built unicorns, higher than any single IIT. The piece has data, honest reckoning with privilege, and good quotes from the founders themselves.

From the Reading Room: Alysha Lobo on years inside China's hardware scene, interviewed by Dharmesh Ba. Robotics rivals sharing a lab, WeChat as the operating system, policy that rewards domestic adoption. Her thesis: Indian companies should buy Indian tech first.

Reading Room · Ecosystems · India · China
The China Playbook Indian Founders Haven't Read

Dharmesh Ba·The India Notes·2025·28 min

Alysha Lobo on years inside China's hardware scene. Robotics rivals sharing a lab, WeChat as the operating system, policy that rewards domestic adoption. Her thesis: Indian companies should buy Indian tech first. Interview by Dharmesh Ba.

From the Reading Room: Morgan Housel on the kind of mind that sits alone for hours doing nothing while everyone else scrolls. Kipchoge in the Olympic waiting room. An excerpt from Same As Ever, but the essay stands alone.

Reading Room · Culture · Behavior
Wild Minds

Morgan Housel·Collaborative Fund·2023·14 min

Housel on the kind of mind that sits alone for hours doing nothing while everyone else scrolls. Kipchoge in the Olympic waiting room. An excerpt from Same As Ever, but the essay stands alone.

May 1, 2024

Founders

A two-year-old Acquired episode worth pulling up. Howard Schultz joins as a third cohost to tell the full Starbucks story, from the six-store roaster he took over in 1987 to nearly forty thousand locations today. He has done three stints as CEO, is off the board now, and says he is not coming back.