
Actual performance
145upvotes
5comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →76%76% 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.
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Im
Image to Explorable 3D Scene23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Image to Explorable 3D Scene
“G
“Gimmick!” scene, image and music, rendered in GLSL37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
“Gimmick!” scene, image and music, rendered in GLSL
Mu
Multi-Scene Full 3D Context from CCTV28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Multi-Scene Full 3D Context from CCTV
An
An otherworldly 3D scene in 16 kB of JavaScript57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An otherworldly 3D scene in 16 kB of JavaScript
Xpeer
Digitalized Word of Mouth
Wo
Word2Bits – Quantized Word Vectors44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Word2Bits – Quantized Word Vectors
Pr
Probabilistic Spellchecker – You may have misspelled a word33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Probabilistic Spellchecker – You may have misspelled a word
Wo
Word.to33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Word.to
Et
EtymologyExplorer – word origin trees52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
EtymologyExplorer – word origin trees
Wh
Where I get the last word33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Where I get the last word