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DemandHunt – Make something people want

Hacker News

DemandHunt – Make something people want

Hi HN! I've been working on a small project called DemandHunt. Basically I aggregated problems in niche communities so that you as an entrepreneur can take inspiration. The background is that I've worked with a number of startups and I've found that many entrepreneurs already have a technology or solution in mind and work backwards to find the people with the problems to solve. This is YC's "Solution in Search of a Problem" problem, and my understanding is that it's typically better to work the other way around so you can build the right solution for the problem you find instead. Thus I figured maybe some hacker types like me would appreciate reading about problems in their interest areas so that they can get the ball rolling from the right direction. I went and did some reading in some niche Reddit communities and manually aggregated the user posts into tangible problems that might inspire you. I'm curious to see if this is interesting or useful to anyone here! Let me know what you think, if you want me to target your interests, or updates, or anything :)

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: entrepreneurs, way · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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.

Incorrect prediction on native model

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