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ConvoSpot – Geo Based Vanishing Chat
Hacker NewsConvoSpot – Geo Based Vanishing Chat
HN, I’m a long time reader and first time submitter. I’d like to share a project we’ve been working on and recently released ConvoSpot for iOS. ConvoSpot lets you chat with everyone near you and after a while, the messages vanish, never to be recovered. App Store: https://itunes.apple.com/us/app/convospot/id856444697 Site: http://www.convospot.com/ I tend to think of it as “SnapChat meets YikYak”, with temporary messages only available to those in the area. I’ll be around for the next few hours to answer questions. Interested to hear your feedback, criticisms, and ideas. Thanks Bonus if anyone in Denver is on ConvoSpot, lets chat!
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Did not reach leaderboard
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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting66%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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency0%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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