Find & validate your idea
Find a problem worth solving, then prove people want it before you build.
What founders use for find & validate your idea, ranked by how many answers lean on it.
- Choosing between two ideas is a bet under uncertainty, and Duke gives you the mindset for it: judge the decision by its... Annie Duke Book · ~272 pages Thinking in Bets Annie Duke
- This is the direct counter to the fear in your short answer, that a platform update erases your product overnight. Chen argues... Andrew Chen Essay · 20 min read Revenge of the GPT Wrappers: Defensibility in a World of Commoditized AI Models Andrew Chen
- Before you commit, you need to know whether the value from your AI idea accrues to you or to an incumbent who bolts the feature... Elad Gil Essay · 12 min read AI: Startup Vs Incumbent Value Elad Gil
- A map of which AI markets already have clear winners and which are still wide open, which is the practical version of asking... Elad Gil Essay · 12 min read AI Market Clarity Elad Gil
- This explains why niches once dismissed as too small (laundromats, vets, clinics) become real businesses when AI absorbs the... Andreessen Horowitz Article · 15 min read Vertical SaaS: Now with AI Inside Angela Strange and James da Costa
- The core move in our short answer is decomposing a workflow into steps a model can now do. This piece frames every workflow as... Andreessen Horowitz Article · 15 min read The Rise of Computer Use and Agentic Coworkers Eric Zhou, Yoko Li, Seema Amble, Jennifer Li
- A structured playbook for picking a vertical where AI now delivers real leverage and building something that feels less like... Bessemer Venture Partners Article · 20 min read Building Vertical AI: An Early-Stage Playbook for Founders Bessemer Venture Partners
- Once you have spotted the opening, this gives you concrete principles for making it defensible, heavy on proprietary data and... Bessemer Venture Partners Article · 15 min read Ten Principles for Building Strong Vertical AI Businesses Bessemer Venture Partners
- A clear-eyed take on what actually changes when a model can do a task at good-enough quality and cheaply, and where humans... Every Essay · 15 min read After Automation Dan Shipper
- To spot what is newly possible you need to know what the models can suddenly do that they could not before, and this essay maps... Sequoia Capital Essay · 18 min read Generative AI's Act o1: The Reasoning Era Begins Sonya Huang and Pat Grady
- A broad map of where AI is actually gaining traction across infrastructure, horizontal, and vertical use cases, so you can see... Bessemer Venture Partners Article · 30 min read The State of AI 2025 Bessemer Venture Partners
- This explains the exact cognitive trap behind insider bias: once you know a domain deeply you cannot un-see it, so you assume... CXL Article · ~12 min read The Curse of Knowledge: How Expertise Can Hurt Your Communication CXL
- The clearest argument that idea generation is a muscle, not a gift. Altucher's practice, write ten ideas a day until it becomes... James Altucher Essay · 15 min read The Ultimate Guide for Becoming an Idea Machine James Altucher
- A working set of prompts that push your thinking to extremes to shake loose non-obvious ideas. When your list feels stale or... A Smart Bear (Jason Cohen) Article · 15 min read Extreme brainstorming questions to trigger new, better ideas Jason Cohen
- This is the practical mechanics of exactly the habit in our answer: keep a running list of daily annoyances and workarounds,... Founder's Guide Article · 10 min read The Problem List Method: business ideas from real daily frustrations Founder's Guide
- A short, focused piece on the single skill our answer is built around: noticing what everyone else walks past. It names the... Start as Sprout Article · 8 min read The Quiet Skill of Noticing Problems Start as Sprout
- This is the counterweight to the venture scale market advice: proof that a small market can be a great business if you are... Rob Walling Essay The Stair Step Method of Bootstrapping Rob Walling
- Speaks directly to the trap of confusing a giant TAM number with a real business. It explains why investors discount inflated... HSBC Innovation Banking Article Beyond the TAM Slide: What Investors Really Want HSBC Innovation Banking
- This is the sharpest short essay on why a naive market number lies to you. Evans shows that a new product can either shrink a... Benedict Evans Essay · about 1,200 words Ways to Think About Market Size Benedict Evans
- Kamps has seen more market-size slides than almost anyone and calls out the exact failures founders repeat, including claiming... TechCrunch Article I Reviewed 1,000+ Pitch Decks. These Are the Most Common Mistakes Haje Jan Kamps
- This is a real deck with the market slide critiqued line by line, showing how a founder listed the entire sharing economy at... TechCrunch Article Pitch Deck Teardown: BoxedUp's seed deck Haje Jan Kamps
- This is the deep dive on why the 'next 200 million' users are real but hard to monetize, which is exactly the trap that... sajithpai.com Essay · 20 min read Vernacular Apps, the English Language Premium, and Monetising the Next 200 Million Sajith Pai
- Redseer gives you an independent view of the internet-to-transacting funnel to cross-check Blume's household numbers. It... Redseer Strategy Consultants Article · 10 min read India's Internet Consumers (700 Mn+ Digital Consumer Funnel) Mukesh Kumar, Redseer
- Dunford reframes competitors as competitive alternatives, starting with the status quo of doing nothing, which is the real... April Dunford (aprildunford.com) Article · 12 min read Positioning and Competition April Dunford
The questions
Finding & shaping ideas 18
Find a problem worth years of your life.
I want to start a startup but I don't have an idea. Where do I even begin?
19 →
How do I come up with startup ideas that aren't just 'Uber for X'?
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Should I solve a problem I personally have, or chase a bigger market?
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How do I know if my idea is a real problem or just a 'nice to have'?
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I have too many ideas. How do I pick which one to actually work on?
19 →
All 18 questions in Finding & shaping ideas →
Validating your idea 21
Get evidence before you write code.
What does 'validating an idea' actually mean?
20 →
How do I know if my idea is any good?
18 →
How do I validate an idea without building anything?
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How do I talk to customers without getting false positives?
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How many people should I talk to, and how do I find them?
17 →
All 21 questions in Validating your idea →
Market size & timing 18
Is it big enough, and why now?
How big does my market need to be for this to be a real business?
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What are TAM, SAM, and SOM and how do I actually calculate them?
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Why does 'why now?' matter so much for a startup idea?
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My market is small right now but growing fast. Is that a problem?
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How do I size a market for India specifically when data is messy?
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All 18 questions in Market size & timing →
Founder-market fit 17
Why you, and why this problem?
What is founder-market fit and how do I know if I have it?
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Do I need to be an expert in an industry to start a company in it?
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I'm passionate about an idea but have zero background in it. Should I still do it?
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How much does 'why you?' actually matter to investors and to success?
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As a woman founder, or one building outside the big startup hubs, how do I turn my background into an edge?
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All 17 questions in Founder-market fit →
Spotting trends & opportunities 18
Live in the future and build what's missing.
How do I spot trends early enough to build a startup on them?
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How do I tell the difference between a real trend and a passing fad?
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Everyone says the next big thing looks like a toy. What does that actually mean?
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Where do I look to find emerging opportunities before they're obvious?
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What are the biggest emerging opportunities in India right now?
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All 18 questions in Spotting trends & opportunities →
eChai Partner Brands
The partnership →