Regression Online
Indie HackersSimplify Your Data Analysis - Gain Actionable Insights
I started Regression Online because I want to simplify access to data analysis and believe that the most foundational data science tool should be made available to everyone - not only to those who can code.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Exploding Niches40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Concise and actionable insights into the skyrocketing niches
Indie Hackers1email-marketing
ChatTCP19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Simplify TCP Analysis
Product Hunt+13Ac
Actionable NBA injuries data from Rotoworld21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Actionable NBA injuries data from Rotoworld
Hacker News1
Supascout59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analyze App Store reviews to gain actionable insights
Product Hunt+166MarketingAc
Actionable JVM memory analysis36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Actionable JVM memory analysis
Hacker News11Lush Analytics65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Transform your data into actionable insights
Indie Hackerscommitment-side-projectHo
How can narratology and NLP benefit from topological data analysis?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How can narratology and NLP benefit from topological data analysis?
Hacker News5A
A Codecademy for data analysis (with R)32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Codecademy for data analysis (with R)
Hacker News2Ne
Newbies exploring Topological Data Analysis with R35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Newbies exploring Topological Data Analysis with R
Hacker News2Mj
Mjslab: flexable clientside data analysis and plotting32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mjslab: flexable clientside data analysis and plotting
Hacker News2