Sitelight
Indie HackersWeb analytics insights and forecasting
We have all this data in Google Analytics. It's 2019. Time to move beyond just graphs and charts. I want to provide actionable reports and forecasts using data science techniques.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: google, using · Missing: mac, agents, macos87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% 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, crypto13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
We
Web Analytics FTW63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Web Analytics FTW
Hacker News1Al
All-in-One Web Analytics53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All-in-One Web Analytics
Hacker News6Mi
Microanalytics, a web-analytics CouchApp63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Microanalytics, a web-analytics CouchApp
Hacker News2Gourami46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cookieless web analytics
Indie HackersTracerly72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Web Analytics
Indie Hackers1analyticsMi
Mirrorshades – Simple web analytics51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mirrorshades – Simple web analytics
Hacker News66Pareto59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Simple Web Analytics
Indie Hackers2analyticsWe
Web analytics with API only approach70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Web analytics with API only approach
Hacker News33onEco +Analytics53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Web Analytics to Legally Capture Every Visit
Indie Hackers2$1,000/moanalyticsFairlytics50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Privacy-first web analytics in 510 bytes. No cookies, no con
Indie Hackers1ai