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Acrons – One stop solution for finding cool, crazy and popular acronyms

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Acrons – One stop solution for finding cool, crazy and popular acronyms

Modern acronyms have been a pain. From YOLO to DIY I have been learning #vuejs, finally got time to build something simple yet useful. Check Acron - One stop solution for finding cool, crazy & popular acronyms Live at - https://mohitkhare.me/acrons/ Show some love on Product Hunt - https://www.producthunt.com/posts/acrons I surely missed a lot of cool abbreviations. Feel free to contribute ️️ Sharing it here so that interested folks can start with open source contributions Link to the repo - https://github.com/mkfeuhrer/acrons

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
57%57% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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.

Incorrect prediction on native model

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