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Desi Founder – A Community Platform for Startups

Hacker News

Desi Founder – A Community Platform for Startups

The BETA site is live now, and the site is being built from scratch. That is why many tools and features are still not present, and are being added on a weekly basis. For now people can create posts with text/link/image type, comments and comment replies, edit, delete, and also vote. The whole site can be browsed without creating an account, and only needs account to interact. UI part isn't top priority as of now, and we're currently focusing more on building the core features. Future plans are to integrate additional tools which can be useful for founders such as co-founder matching (YC tool exists but ours is region specific to have more localized co-founders), startup spotlight, job board, grants and investor details, and other necessary tools with the help of user feedback. Come try out the platform and give us necessary feedback to make the site better.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
75%75% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, using · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, io · Missing: https docs, excited, just released
55%55% 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 · Strong signals: platform · Missing: plus, intuitive, reviews
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% 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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