Cofounder matching at small participatory events

Hacker News

I believe that doing /something/ with someone over and over again is the best way to meet a cofounder. When I get enough people (6-20) in a given city, I will organize an event along the lines of playing board games, going to a driving range, or volunteering in some way. The main point is that it's not just people drinking or standing around, they have to be active participants in the activity. The goal is for you to go to a number of these events, see how others behave and start to build relationships with them. Then you go off and build something with them. Would love to hear your feedback. PS, LFC = Looking For Cofounder

Visit product View on Hacker NewsJun 14, 2024

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

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

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

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% 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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