I

I made a simple tool that writes your social media posts

Hacker News

I made a simple tool that writes your social media posts

i’m still building my personal brand. i’ve invested in coaching and courses, but they didn’t bring the success i wanted. i learned it’s key to build an active community, especially on linkedin. so i tried posting regularly, but no big wins, mostly because i wasn’t consistent. lack of time and creativity didn’t help either. to fix this, i made an ai tool that asks me daily questions based on my industry and role. i just answer, and it generates a linkedin post. this way, content creation is easier, and i can focus on other stuff. it is not perfect yet, but helps a lot i think. any questions or feedback? thanks

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
27%27% 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 · Strong signals: active · Missing: arr, mrr, revenue
21%21% 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, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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