
Actual performance
437upvotes
7comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →85%85% predicted probability of success on BetaList, based on ML models trained on real launch data.
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Go
Google for powershell56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Google for powershell
Gr
Graphene-GAE – GraphQL for Google AppEngine77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Graphene-GAE – GraphQL for Google AppEngine
A
A null pointer dereference in Google's guetzli JPEG encoder56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A null pointer dereference in Google's guetzli JPEG encoder
Ha
Hammering Google's SyntaxNet to behave56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hammering Google's SyntaxNet to behave
Bi
Bing shamelessly copying Google50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bing shamelessly copying Google
Go
Google / Bing with whitelists54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Google / Bing with whitelists
Ci
Circloscope – Google+ Circles on Steroids56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Circloscope – Google+ Circles on Steroids
Go
Google cardboard in Google cardboard56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Google cardboard in Google cardboard
A
A reimplementation of Google's sparsehash in C56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A reimplementation of Google's sparsehash in C
Noogle71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Not Google