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Zaundy, the new way to get your voice out

Hacker News

Zaundy, the new way to get your voice out

Right now, you can share your ideas and feelings with texts, videos, pictures. Why not with your voice? With Zaundy, you can leave your personal soundprint anytime anywhere, and share what you are listening to. Your Zaund will be publicly available. People can listen to any Zaund recorded in the same area where they are, or within a specific time frame. Any time is the good time to let everyone know what you are thinking and listening to. Download it now and start zaundying! Google Play https://play.google.com/store/apps/details?id=com.zaundy.callout Facebook https://www.facebook.com/zaundy Twitter https://twitter.com/zaundy Google+ https://plus.google.com/118223430878651018203 LinkedIn https://www.linkedin.com/company/zaundy

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% 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.
TrustMRRFits verified-revenue profile · Strong signals: personal, apps, video · Missing: mobile apps, ios, entrepreneurs
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
50%50% 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: plus · Missing: platform, intuitive, reviews
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps, new · Missing: mac, agents, macos
41%41% 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
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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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