LL
Actual performance
9points
3comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto66%66% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released56%56% 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, personal40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Re
Retrieval-augmented LLM debate opponent on DebateSum dataset66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Retrieval-augmented LLM debate opponent on DebateSum dataset
Hacker News4LL
LLM Deceptiveness and Gullibility Benchmark43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LLM Deceptiveness and Gullibility Benchmark
Hacker News7LL
LLM Thematic Generalization Benchmark43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LLM Thematic Generalization Benchmark
Hacker News6Re
Relia – Build your own LLM benchmark33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Relia – Build your own LLM benchmark
Hacker News3Ju
Justbate – Quora for debate63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Justbate – Quora for debate
Hacker News4Op
Opscotch - Debate Anything63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Opscotch - Debate Anything
Hacker News2I
I debate myself over hypothetical situations63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I debate myself over hypothetical situations
Hacker News1We
WebGL Sprites Benchmark58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WebGL Sprites Benchmark
Hacker News38NA
NAB – The Numenta Anomaly Benchmark42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NAB – The Numenta Anomaly Benchmark
Hacker News17NA
NAB – The Numenta Anomaly Benchmark42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NAB – The Numenta Anomaly Benchmark
Hacker News15