Si
Simple Flow-Based Machine Learning and Automation
Hacker NewsSimple Flow-Based Machine Learning and Automation
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released46%46% 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, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto43%43% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac · Missing: agents, macos, agent31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting30%30% 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, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
TuringBot24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Machine learning software based on symbolic regression
Indie HackersMa
Machine Learning Algorithms56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Machine Learning Algorithms
Hacker News5IF
IFTTT on steroids with Machine Learning56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
IFTTT on steroids with Machine Learning
Hacker News2Ru
RunwayML – Machine Learning for Everyone56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RunwayML – Machine Learning for Everyone
Hacker News4Ru
RunwayML – Machine Learning for Everyone56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RunwayML – Machine Learning for Everyone
Hacker News1In
Interpretable Machine Learning with XGBoost56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interpretable Machine Learning with XGBoost
Hacker News1Pa
Pairmaker: Chatroulette + Machine Learning56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pairmaker: Chatroulette + Machine Learning
Hacker News3Bo
Bootstrapping Machine Learning56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bootstrapping Machine Learning
Hacker News8go
golearn – Machine Learning for Go56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
golearn – Machine Learning for Go
Hacker News4Th
Thoth Machine Learning43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Thoth Machine Learning
Hacker News15