✍️ Essay
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India
Free
Intermediate
Why we picked it
Essential reading for anyone sizing an Indian market. Pai shows that India's billion people are not one payable market: roughly a hundred million strong India1 is the real paying base for most startups, not the headline population. It is the sharpest correction to the huge TAM trap in an Indian context, and helps you size the segment that will actually transact.
From
Sajith Pai
by Sajith Pai
- India1, around a hundred million people, is the real paying market for most startups
- A billion population is not a billion paying customers
- Size the segment that can actually transact, not the whole country
Open
sajithpai.com →
📄 Article
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India
Free
Intermediate
Why we picked it
Before you build for a home market outside the big startup hubs, you need the real economics, and this is the essay that maps them most honestly. Sajith Pai separates the roughly 100 million affluent, English-first consumers from the much larger vernacular India coming online, and shows why the second group needs different distribution, different pricing, and often a full-stack model. It is a starting point for pricing a Bharat idea without kidding yourself about willingness to pay.
From
Sajith Pai (Blume Ventures)
by Sajith Pai
~20 min read
- The affluent English-first India and the larger emerging vernacular India rarely share one product or business model, so build for one deliberately.
- Lower incomes push monetization away from ads and subscriptions toward transaction-based and full-stack models where you control the value chain.
- Search-based ecommerce underserves the emerging segment, social and content commerce reduce the real friction of reaching it.
Open
sajithpai.medium.com →
📄 Article
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India
Free
Intermediate
Why we picked it
Blume's annual report is the single best data-grounded read on what is actually happening in Indian internet and consumption, not what is trending on VC Twitter in San Francisco. It shows you adoption curves (UPI, quick commerce, ONDC, how few households actually shop online) so you can pressure-test whether a hyped trend has the demand base to land here. Treat it as a starting map of Indian reality, then judge your specific trend against it.
From
Blume Ventures
by Sajith Pai, Anurag Pagaria and team (Blume Ventures)
~180 charts
- Grounds trend-spotting in real Indian adoption data (income distribution, online-shopping penetration, UPI-native monetization) instead of imported hype.
- Indian startups are building a distinct playbook (micro-subscriptions on UPI Autopay, DPI rails) that has no clean US analogue, so copying a US trend directly often misses the real opportunity.
- A trend can be huge in raw numbers yet thin in monetizable demand: the report repeatedly separates users from paying users.
Open
blume.vc →
📄 Article
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India
Free
Beginner
Why we picked it
A sharp piece on how building English-first quietly locks Indian startups out of their next few hundred million users. It makes the vernacular point concrete: a trend can be real for English India and irrelevant for the India that speaks something else. Read it before assuming metro traction generalizes.
From
Scroll.in
by Sajith Pai
- English-only products serve a small slice of India
- Vernacular and voice are the real reach unlock
- Metro traction can hide a hard ceiling on adoption
Open
scroll.in →
📄 Article
✓ Link checked
Free
Intermediate
Why we picked it
Twice a year Evans publishes a free deck reading the macro and strategic shifts in tech, strong on second order effects, not just that something changes but what it drags along with it. It is a worked example of how a careful analyst separates a real structural shift from noise. Study it as a model for how to think, not only for what to think.
From
ben-evans.com
by Benedict Evans
90+ slides
- Big shifts matter most for their second order effects.
- Ground trend claims in data, not vibes.
- Copy the reasoning method, not just the conclusions.
Open
ben-evans.com →
📖 Book
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Paid
Intermediate
Why we picked it
Moore's classic maps the market you are timing your entry into: innovators and early adopters buy for very different reasons than the pragmatic early majority, and there is a real gap (the chasm) between them. If you enter while a market is still forming, this tells you who you are actually selling to and why proven demand feels so far off. Treat it as a starting point for reading market readiness, not a promise that patience alone wins.
From
Goodreads
by Geoffrey A. Moore
~250 pages
- The technology adoption lifecycle splits buyers into innovators, early adopters, early/late majority, and laggards, each with different motivations.
- The hardest jump is the chasm between visionary early adopters (who tolerate rough products) and pragmatic mainstream buyers (who wait for proof).
- Crossing it means dominating one narrow niche first to earn references, not chasing the whole market at once.
Open
goodreads.com →
📖 Book
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Paid
Intermediate
Why we picked it
A digital anthropologist's fieldwork on how people in India, China, and Brazil actually use the internet, which is often nothing like Western assumptions. It is a direct antidote to designing for a user who exists in San Francisco but not in Bharat. Dense but grounding.
From
Payal Arora (Harvard University Press)
by Payal Arora
- Non-Western internet use defies Western assumptions
- Leisure, not just utility, drives adoption for many users
- Design for the user you have, not the imagined one
Open
amazon.com →
📄 Article
✓ Link checked
Free
Intermediate
Why we picked it
Each year a16z partners publish the problems they think startups will tackle next, which is less a prediction and more a map of where serious money and attention are about to flow. Reading it shows you what a room of full time trend watchers is paying attention to. Treat it as a prompt to argue with, not as gospel.
From
Andreessen Horowitz
by a16z partners
20 min read
- See where investors expect the next wave to form.
- It signals attention and capital, not certainty.
- Use it as a list to interrogate, not to follow.
Open
a16z.com →
📖 Book
✓ Link checked
Paid
Beginner
Why we picked it
The single best thing ever written on customer conversations. It teaches you to ask about the customer's life and past behaviour, not your idea, so you can't be lied to. If a founder reads one thing before talking to a single customer, it's this.
From
momtestbook.com
by Rob Fitzpatrick
~130 pages
- Talk about their life, not your idea.
- Ask about specifics in the past, not opinions about the future.
- 'That's so cool, I'd totally buy it' is a compliment, not data, dig for commitment and evidence.
Open
momtestbook.com →
Why we picked it
The hype cycle names the exact trap in your question: the peak of inflated expectations, the trough of disillusionment, then the slow real climb to a productivity plateau. It gives you shared language for where a trend sits and why the loudest moment is usually the least reliable. Use it to check whether excitement reflects value or just a peak.
From
Gartner
by Gartner
10 min read
- Peak visibility rarely coincides with proven value
- Many technologies survive the trough and reach a real plateau, some do not
- Judge a trend by its trajectory toward productive use, not its current buzz
Open
gartner.com →
