Re
Refuel-LLM, a large language model for data annotation and enrichment
Refuel-LLM, a large language model for data annotation and enrichment
Share cardActual performance
9points
Made the leaderboard
Launch Intel predictions
Analyze your own launch →83%83% 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.
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
47%47% predicted probability of success on BetaList, based on ML models trained on real launch data.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.
19%19% 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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