Markethunt – I built a database to find growing, overlooked markets

Hacker News

Hey HN After years in the startup world, listening to hundreds of pitches, I saw a pattern over and over: - A stagnant market is a slow death. - A saturated market is a brutal, cash-burning fight. - A growing, overlooked market is a massive, unfair advantage. I got obsessed with finding that third option. So, I built Markethunt. It’s a simple database of market reports designed to uncover those high-growth niches. Think less "AI disruption" and more "Automated Fare Collection Systems" - real industries with real money, just not always in the headlines. Each report gives you the growth projections, key drivers, and a few concrete startup ideas to get you started. I've made it free to check out 7 rotating reports. No credit card, no nonsense, just see if it's useful for you. I'd love your feedback: is this genuinely useful, or am I just scratching my own itch? The site is built with Next.js and Supabase. The link is here: https://www.markethunt.io/ I'll be around all day to answer questions. Thanks for looking.

Visit product View on Hacker NewsOct 21, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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