Go
Gota – DataFrames and data wrangling in Golang
Gota – DataFrames and data wrangling in Golang
Share cardActual performance
11points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →84%84% 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.
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
20%20% predicted probability of success on Indie Hackers, 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.
Incorrect prediction on native model
Similar products
Sp
SpreadServe: QuantLib Calcs, Quandl Data, Serverized XLS with XLL and RTD50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SpreadServe: QuantLib Calcs, Quandl Data, Serverized XLS with XLL and RTD
Da
Data exploration and visualisation for Elasticsearch74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Data exploration and visualisation for Elasticsearch
We
We added an Oink data importer for Cheers37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We added an Oink data importer for Cheers
Te
Techcrunch data 2005-201250%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Techcrunch data 2005-2012
Ma
Mambocollector – Statsd Data collector for MySQL44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mambocollector – Statsd Data collector for MySQL
Mu
Munge your data with TXR50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Munge your data with TXR
Ag
AgriCatch – Data aggregation on Django43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AgriCatch – Data aggregation on Django
In
Incorporating Religion Denominational Data into a US Births/Deaths Viz50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Incorporating Religion Denominational Data into a US Births/Deaths Viz
Re
Rennet – Coagulating all the data50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rennet – Coagulating all the data
Da
Data Vis about the Average Civil War Soldier. D3, Leaflet and Angular54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Data Vis about the Average Civil War Soldier. D3, Leaflet and Angular