Ge
Actual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →88%88% 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.
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
16%16% predicted probability of success on AppSumo, based on ML models trained on real launch data.
9%9% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ca
Cached Datasets53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cached Datasets
I
I made this tool for navigating pandas datasets50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made this tool for navigating pandas datasets
Chaos25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Create dirty datasets out of clean datasets
Cr
CrowdCapture – create image datasets together46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CrowdCapture – create image datasets together
firmographic8%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
B2B datasets
Da
Datasets on Demand52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Datasets on Demand
Xr
Xray: N-D labeled arrays and datasets in Python58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Xray: N-D labeled arrays and datasets in Python
Ru
Rubick, Data API and Search API for commonly used datasets60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rubick, Data API and Search API for commonly used datasets
Au
Augmenting ML Datasets with Gretel and Vertex AI44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Augmenting ML Datasets with Gretel and Vertex AI
Op
Open Financial Datasets55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open Financial Datasets