Li
List of Most Amazing TED Talks
Hacker NewsList of Most Amazing TED Talks
The best TEDTalks compiled into one. Lol at first I thought, I watched all the best ones, but not until I bought this :)
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
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BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto70%70% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released38%38% 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, personal35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos27%27% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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See Where AI Talks About Your Product
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Indie Hackersfounders-code-yes
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The List53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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Hacker News39No
NoList, a To-Do List that is not a list.53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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