Inc42

Compares direct sales, channel and marketing-led entry for an Indian company going abroad, and makes the case that the US may not be your best first market. Honest about the cost of a wrong first sales leader hire in a new geography.

Indian SaaS And The Art Of Going From Local To Global

From Inc42 by Sandeep Chawda ~12 min read

• The US is not the automatic first market: GCC, Southeast Asia, or Japan can be the better first step out of India.
• Three entry motions compared: feet on street (a hired sales leader, high risk if it stalls within 2 to 3 quarters), resellers, and marketing-led sales.
• Pay channel partners on revenue share, not retainer, and pick ones who already sell into your target domain.
• Marketing-led works for SMB and PLG, and breaks down for enterprise deals that need heavy onboarding.

Lays out Upekkha's Value SaaS argument that SaaS built from India is structurally capital efficient, which changes what a healthy CAC payback or magic number looks like for an Indian company.

Why Indian Startup Ecosystem Needs More Catalysts Like Upekkha Than Typical Incubators And Accelerators?

From Inc42 by Team Inc42 10 min read

• Upekkha takes no equity unless the startup hits a pre-agreed revenue milestone, such as 1M dollars ARR, by the end of the program.
• UpekkhaOne is a two-year program for B2B SaaS only, aimed at product-market fit then a growth plan.
• They call themselves a catalyst rather than an accelerator: remove acceleration and momentum reverts, so they stay through the transformation.
• 15 startups went through in the first two years, with the first cohort reaching a million under 18 months.

Arora on building from Mumbai for 135 countries without ever raising primary capital, which is the credibility argument in its strongest form. Read it for how he frames India origin to global buyers.

Build Local, Think Global: The Vision of BrowserStack's Ritesh Arora

From Inc42 by Inc42 BrandLabs 12 min read

• Arora's biggest regret is scaling the product organisation five or six years in rather than in year one.
• The play is to let usage build stickiness first, then have sales call those accounts to close bigger deals.
• BrowserStack avoids hiring nomads who switch jobs often, and has never raised primary capital.

IndiaMART started serving overseas buyers, lost that market after 2001, and rebuilt around Indian SME buyers posting requirements. A twenty year lesson in how a marketplace's ICP can flip sides and geography and still work.

Inc42 UpNext: How Looking Inward Changed Everything For IndiaMART

From Inc42 by Aditya Kondalamahanty 12 min read

• IndiaMART's international B2B revenue slumped by more than half after 9/11, which forced the pivot to the domestic market.
• It refocused on India in 2007 and became a buyer-dedicated forum by 2011, rebuilding the model twice.
• By March 2018 it had 5.5 million supplier storefronts, 60 million listed products, and 59.81 million registered buyers.
• FY18 revenue was 540 crore rupees (74.7 million dollars) with 46 crore operating profit, on 40,000 rupees of founding capital.

Walks an Indian SaaS team from positioning through story, style guide and proof, with Keka and Chargebee as worked examples rather than American ones. Useful for seeing where brand work sits relative to the positioning decision.

Indian SaaS Startups' Guide To Brand Marketing

From Inc42 by Komal Ahuja 10 min read

• Buyers are four times more likely to trust brands driven by a clear purpose or cause.
• Chargebee leans on visible social proof: over 500 G2 reviews at an average 4.6 rating.
• Keka built its brand with no advertising spend at all.
• Six building blocks: audience and market fit, purpose and story, brand experience, style guide, content, and social proof.

Where the counterintuitive north star is explained: payment success rate rather than merchant count, plus 30 to 40 minute onboarding and being first to ship UPI Autopay.

The Product Practices That Turned Razorpay Into A Payments Juggernaut

From Inc42 by Deepsekhar Choudhury About 12 min read

• Before Razorpay, Indian online payment success rates ran no better than 60 to 65 percent.
• Razorpay Checkout was adopted by 95 percent of its merchants and lifted success rates 3 to 6 percent.
• Predicting payment failures cut refund complaints by 80 percent.
• Onboarding was cut to a few uploaded documents and 30 to 40 minutes before a merchant could accept payments.

The written answer quotes Vembu from print. Here he takes open questions for an hour on running a company that was profitable from year one and spends on R&D instead of buying growth, which is the reasoning behind the quote.

Sridhar Vembu (Founder & CEO, Zoho) | Ask Me Anything Session | Inc42

On Inc42 by Sridhar Vembu 51 min

The same shift reported from inside Indian startups, with people leaders at Qure.ai and Neysa saying plainly what is losing relevance: roles limited to task execution without ownership. If you are planning an India based GTM team, this is closer to your hiring market than American job posting data.

Who Gets Hired In An AI-First World?

From Inc42 by Ankush Das 10 min read

• Qure.ai's CPO wants AI-native problem solvers who ask the right questions, not AI research backgrounds.
• Neysa's EVP: roles limited to task execution without ownership are becoming irrelevant.
• Companies now track output per employee and revenue impact, not AI tool adoption rates.
• Young Indian AI startups stay skeleton-thin, so everyone has to work across disciplines.

A snapshot of how Indian SaaS built its gathering habit: founder-run, pay-it-forward, with people like Girish Mathrubootham and Krish Subramanian doing the work themselves. If you are planning events in India, this is the model that actually pulled founders into a room.

SaaSBOOMi Looks To Strengthen SaaS Community With Awards For Indian Startups

From Inc42 by Kritti Bhalla 5 min read

• Eight award categories, including bootstrapped, category creator, vertical SaaS and B2D SaaS startup of the year.
• Jury included Girish Mathrubootham (Freshworks), Krish Subramanian (Chargebee), Suresh Sambandam (Kissflow) and Manav Garg.
• Context given: Indian SaaS was at $3.5B-plus ARR growing 30 percent a year, with about 1,000 companies and only 150 past $1M ARR.

The origin story with the awkward parts left in: a side project on the Chrome Web Store, adoption arriving from countries they never targeted, and the founders genuinely unsure whether developer love would ever become money until a user posted them a 500 dollar cheque.

Postman's Ankit Sobti On Going From Zero To 500K Users Before Launch

From Inc42 by Bhumika Khatri 8 min read

• Postman reached 500K users organically before it was ever formally launched, from a 2012 side project at Yahoo.
• The Chrome Web Store listing in March 2012 became the distribution channel that carried it.
• Adoption showed up where they did not expect it: Russia, Africa and Australia, not just India and the US.
• Monetization was validated by accident when a user posted a $500 cheque saying he could not believe he was not paying.

Two former Freshworks leaders discovered their content was fine and their distribution was missing, and built Highperformr off that lesson. A good corrective if you are about to publish more instead of distributing what you already wrote.

How These Ex-Freshworks Executives Are Rewriting Rules Of Content Distribution

From Inc42 by Pooja Yadav 8 min read

• The founders found the problem the hard way: their own community, Growthstore.xyz, had good content and no traction because distribution was missing.
• Highperformr's core move is repurposing an existing blog or case study into platform-specific versions rather than writing new content.
• Chennai-based, founded July 2023 by two ex-Freshworks operators, with $3.5M seed led by Venture Highway plus The Neon Fund.
• 7,000 free customers, targeting 1,000 paying ones by FY25.

Names the version of this problem that is specific to Indian companies: revenue in rupees, inference billed in dollars, and a currency move you did not budget for eating margin. If you sell in INR and run on foreign models, this is your risk in one page.

India's AI Inference Problem

From Inc42 by Team Inc42 8 min read

• India is projected to need around 7 GW of AI compute capacity by 2030.
• Inference is becoming the largest operating cost of AI native products because it scales with usage, not customer count.
• Indian companies earn in rupees and pay for inference in dollars, so FX moves hit margins directly.
• Yotta, CtrlS and Reliance Jio are building out GPU clusters to cut that foreign dependency.