St
Actual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →90%90% 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.
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
St
Stacks – A bookshelf for your MOOCs47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stacks – A bookshelf for your MOOCs
Cf
Cfplot – Waterfall plots for Cloudformation stacks47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cfplot – Waterfall plots for Cloudformation stacks
St
Stacks – a Feedly-like CollectionView52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stacks – a Feedly-like CollectionView
Ba
Basic ALU operations with stacks in x86 assembly53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Basic ALU operations with stacks in x86 assembly
St
StackShare – discover and discuss software stacks47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
StackShare – discover and discuss software stacks
Aw
Awesome Stacks47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Awesome Stacks
St
Stacks – share your MOOCs with friends47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stacks – share your MOOCs with friends
App Stacks56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stories & stacks behind beautifully crafted apps
De
Deploy your Sinatra and Padrino stacks on Cloud 6652%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deploy your Sinatra and Padrino stacks on Cloud 66
no
nothelm.py – Templating for Docker Stacks36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
nothelm.py – Templating for Docker Stacks