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Prblms – A marketplace of people's problems that need a solution

Hacker News

Prblms – A marketplace of people's problems that need a solution

Great solutions require two main things, a real problem and talking with the people that have it. Prblms is a community focused on that. Sharing problems of any kind that we personally find, connect and build solutions to them, that hopefully become successful products. Anyone can post a problem (no account required) and every problem has a comment section and a solutions section. People can connect on the comments section and when a solution is posted, the upvoters of the problem get notified so they can try the solution and give feedback. I have found many people (me included sometimes) seeking to build something but struggling with what to build, or building something nobody wants. With Prblms you can be sure you are building for real people's problems, and you will have some initial users from day 0 to talk and iterate.

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Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
46%46% 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: personal, users · Missing: mobile apps, ios, entrepreneurs
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real people · 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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