Me
Metro – a Kickstarter-style platform for crowdsourcing data
Metro – a Kickstarter-style platform for crowdsourcing data
Share cardActual performance
3points
3comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
52%52% predicted probability of success on BetaList, based on ML models trained on real launch data.
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ha
Harmonized Data Platform42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Harmonized Data Platform
Ha
Harmonized Data Platform51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Harmonized Data Platform
As
Aspen – Distributed Data Platform62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Aspen – Distributed Data Platform
Pl
Platform for data scientists73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Platform for data scientists
Columns45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Data storytelling platform
Playment23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Data Labeling Platform
We
We built a Rotten Tomatoes-style platform for knives51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We built a Rotten Tomatoes-style platform for knives
un
unicode.style39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
unicode.style
Im
Implementing Promise, Functional Style48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Implementing Promise, Functional Style
Cl
Clerb. ERB-style Clojure templating48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Clerb. ERB-style Clojure templating