Re
Actual performance
99points
61comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →70%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.
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
PlanoHero21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Retail planogram software for store chains
PersonaCart50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The store that runs itself
Klavx52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lightspeed Retail x to Klaviyo Intergration
lifmo45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
rethink retail lighting
In
In-store AI interface for Clothing retail31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
In-store AI interface for Clothing retail
Te
Technavneet.com – An online e-commerce retail store50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Technavneet.com – An online e-commerce retail store
NL
NLP API for retail72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NLP API for retail
Retail POS53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Synergy to Succeed in Your Retail Business
PJ
PJON v8.1 runs on ATtiny85, Arduino, ESP8266, Teensy, RPI and WINX8636%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PJON v8.1 runs on ATtiny85, Arduino, ESP8266, Teensy, RPI and WINX86
Hu
Hurricane now runs Rails and Django54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hurricane now runs Rails and Django