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A new social giving platform

Hacker News

A new social giving platform

Picture this: you’re scrolling through your social media feed, feeling the usual blend of amusement and boredom until suddenly, a video catches your eye. It’s not just entertaining; it’s transformative. It inspires you, educates you, or maybe just brings a smile to your face when you needed it most. You’re filled with gratitude for the creator behind this masterpiece, but a simple “like” or “share” feels inadequate. You want to do more, to express your appreciation in a meaningful way. That’s where Public Gives sweeps in, offering a platform where your gratitude translates into real generosity on a global scale, tangible support for the creators who enrich your life. Readmore: https://medium.com/@PublicGives/unveiling-public-gives-where...

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Actual performance

3points
3comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
61%61% 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.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video, way · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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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