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HackBud – I no longer struggle to find teammates for Hackathons

Hacker News

HackBud – I no longer struggle to find teammates for Hackathons

Hey there, Last year, I participated in a hackathon and wanted to connect with people to build a team. I went to Discord and other channels to find people who would be interested in participating, but it took a lot of time to find people and reach out to them and decided to participate alone. Then came the idea of solving my problem by building a platform where I could find people with the same mentality who want to build cool stuff in hackathons, without much effort. Hence, HackBud was born. I am launching it on Product Hunt today: https://www.producthunt.com/posts/hackbud

Visit product View on Hacker NewsOct 21, 2024

Actual performance

3points

3comments

Did not reach leaderboard

Launch Intel predictions

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

72%72% 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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

52%52% 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 · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% 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

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.

Incorrect prediction on native model

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