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Keyboardbattle – keyboard search and metric site
Hacker NewsKeyboardbattle – keyboard search and metric site
http://keyboardbattle.com/ I built some website showing keyboard data metrics by putting my time on weekends. It is neither fancy or has technical depth unlike other "Show HN"s yet, but hopefully, it will be via iterations. As a next step, I'm planning to add some Machine Learning stuffs (text-parsing on Amazon review) + user interactions on the website to get interesting insights. Can I get any feedback? Thank you in advance.
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, user · Missing: agents, macos, agent87%87% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive48%48% 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 released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal37%37% 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, revenue12%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, crypto3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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