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I made a tool that finds trends before they're trending
Hacker NewsI made a tool that finds trends before they're trending
Hey HN I made a quick little tool that scrapes a lot of databases around the internet including all social media apps, google analytics, semrush etc and gives you trends and consumer insights before they're trending. 3 Major Use-cases I see for this - 1. Helping founders find product market fit before they launch 2. Industry / Key-word specific insights to find opportunities & angles in your industry. 3. Company specific insights. Let me know your thoughts or any questions
Share cardActual performance
2points
Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps · Missing: mac, agents, macos81%81% 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.
TrustMRRFits verified-revenue profile · Strong signals: apps, google · Missing: mobile apps, ios, personal62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released52%52% 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, intuitive32%32% 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, revenue15%15% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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