Cr
Cryptocurrencies historical prices data collector written in Python
Cryptocurrencies historical prices data collector written in Python
Share cardActual performance
7points
Made the leaderboard
Launch Intel predictions
Analyze your own launch →77%77% 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.
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Cr
Cryptocurrency historical price data scrapper written in Python52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cryptocurrency historical price data scrapper written in Python
Gs
Gsubpy, an interpreter for subset of Python, written in Go55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gsubpy, an interpreter for subset of Python, written in Go
Py
Python script to get historical OHLC data from GDAX39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python script to get historical OHLC data from GDAX
Py
Python Script to get historical GDAX OHLC data28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python Script to get historical GDAX OHLC data
Ge
Get EC2 prices with a Python module46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get EC2 prices with a Python module
HN
HNdump – HN historical data46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HNdump – HN historical data
In
Incremental-Backups-Tools, written in Python63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Incremental-Backups-Tools, written in Python
A
A poetry generator written in Python named poemy50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A poetry generator written in Python named poemy
Ve
Venvrc – simple Python-venv wrapper written in Bash58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Venvrc – simple Python-venv wrapper written in Bash
a
a bash based data store written in python56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
a bash based data store written in python