eugeneyan.com
Indie HackersData science, machine learning systems, and career growth.
I enjoy helping people and writing is one of the ways to do it at scale. On this site, I share my experience and lessons from my role as a data scientist.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting46%46% 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, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac · Missing: agents, macos, agent34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue17%17% 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, crypto4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Da
Data Science / Machine Learning internship program59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Data Science / Machine Learning internship program
Hacker News1Data Yoshi36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find the latest jobs in Data Science and Machine Learning
Indie Hackerscommitment-side-projectWelcomeAIOverlords39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Educational Content on Machine Learning and Data Science
Indie Hackers1aiOp
Open-Source No-Code Platform for Machine Learning and Data Science65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-Source No-Code Platform for Machine Learning and Data Science
Hacker News2Data Jedi31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Data Science Learning Community
Indie Hackerscommitment-side-projectCu
Culll for data science51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Culll for data science
Hacker News2Da
Data science glossary51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Data science glossary
Hacker News1Wh
What are the essentials of Data Science?51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What are the essentials of Data Science?
Hacker News1Sh
Show HN - DataTau, The HN For Data Science55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN - DataTau, The HN For Data Science
Hacker News3Do
Domino, a PaaS for data science51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Domino, a PaaS for data science
Hacker News36