ACADEMIA-LA TERCERA EDAD
Indie HackersEL APRENDIZAJE-EL ÉXITO NO TIENE EDAD
Soy el Creador de la Academia-La Tercera Edad, Tengo 62 años, soy parte de esta academia, brindo mis servicios-conocimientos, habilidades a otros de la tercera Edad para que hagan lo mismo que yo hago y aprendan de mí.
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Launch Intel predictions
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TrustMRRLess likely to generate early MRR · Strong signals: ios, para · Missing: mobile apps, personal, entrepreneurs44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: para, ios · Missing: supports, reddit linkedin, podcasting42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto35%35% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% 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, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos10%10% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
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