Research your market with AI
Size the market, study competitors, and read data in hours, not weeks.
3 steps to get you moving, each with a resource worth your time and more waiting underneath
Think of this as a friendly starting line, not the last word. Each step gives you the gist, then a resource worth your time from founders who've actually done it. There's always more underneath, more questions and more resources, whenever you feel like digging in.
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1
Market ResearchHow do founders validate a startup idea with AI in a weekend?
The gist Treat AI as a fast research assistant, not the judge. On day one, have ChatGPT or Claude turn your idea into testable assumptions, competitor lists, search terms, and interview questions, then check those against real signals like Google Trends, Reddit complaints, and community posts. On day two, ship a landing page smoke test with an AI page builder and get it in front of real people, because AI compresses the desk work so your weekend goes into collecting real user evidence.
How To Test ANY Startup Idea In 24 Hours (No Code + AI) YouTube creator (startup tutorials) A start-to-finish 24-hour test loop using AI and no-code, exactly the weekend playbook this question asks for. -
2
Search & ResearchWhy use AI (ChatGPT, Perplexity, Claude, deep research modes) instead of Google?
The gist Google gives you ten links to open; AI search tools read those pages for you and return one synthesized, cited answer you can interrogate with follow-up questions. For founder research (markets, competitors, regulations, vendor comparisons) that saves hours, and tools like Perplexity cite every claim so you can verify. Google still wins for navigation, local results and anything where you want the primary page itself, so most founders now run both.
Aravind Srinivas: Perplexity CEO on Future of AI, Search & the Internet (Lex Fridman #434) Lex Fridman Three hours with the founder rebuilding search from scratch, explaining exactly why answers-with-citations beat ten blue links. -
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Data AnalysisWhy let AI analyze my data instead of learning Excel formulas or SQL?
The gist Because the bottleneck stops being syntax and becomes asking good questions. Modern AI tools write and run real code on your files, so a founder can get in seconds what used to take weeks of formula and query practice. You still want enough data literacy to sanity-check what comes back, but you no longer need to master VLOOKUP or JOINs before getting real answers from your own numbers.
What AI can do with a toolbox: Getting started with Code Interpreter Ethan Mollick The Wharton professor's original field report on why an AI that writes its own code beats memorizing formulas.
