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GeeksHub – Telegram and WhatsApp Group for Geeks
Hacker NewsGeeksHub – Telegram and WhatsApp Group for Geeks
I've created a telegram and WhatsApp group to connect with folks who love technology, coding and sharing cool stuffs. Pros: 1. Connect with geeks out there. 2. Show what you have built 3. Discuss the things that interests you in tech Join us on Telegram: https://t.me/joinchat/IhQqAhKHRNPcysP-u9ASjw Join us on WhatsApp: https://chat.whatsapp.com/FYMib7w829x4WQIjJygaxO
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Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting46%46% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released32%32% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: coding · Missing: mac, agents, macos12%12% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency2%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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