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Walkie-talkie for teams
Hacker NewsWalkie-talkie for teams
Hey team, I'm Arjun! Builder at flowy.live. So - it's quite simple. It's a walkie-talkie with a way to play back the last 24 hours. A new medium of communication for active teams. We have released for Mac and Windows. Any feedback or thoughts would mean the world to us! Open to a feedback session? https://calendly.com/arjun-flowy/onboarding Appreciate all of you, Arjun Patel arjun@flowy.live
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, new, open · Missing: agents, macos, agent87%87% 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.
AppSumoStrong fit for a featured deal · Strong signals: builder · Missing: plus, platform, intuitive63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released52%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.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue19%19% 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, crypto13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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