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Chat Simply – Group chat for everyone
Hacker NewsChat Simply – Group chat for everyone
Today my friends and I are launching a project we've been hacking on for the past few years. It's friendly web based group chat (with apps for Mac, Windows, and iOS) that's not limited to a single business. It basically offers the power of XMPP with a simple UI. chatsimply.com Please check it out and let me know what you think!
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6points
14comments
Did not reach leaderboard
Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, apps, single · Missing: agents, macos, agent90%90% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, apps · Missing: mobile apps, personal, entrepreneurs50%50% 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, revenue19%19% 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, cryptocurrency7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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