diy-analytics
Indie HackersThe analytics stack you can actually own.
- most of the web analytic tools are not free , if free doesn't allow support multiple projects. - few are open source , but requires huge infra to host. This is we come with enterprise -grade features.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: open source · Missing: https docs, excited, just released73%73% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal43%43% 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, podcasting39%39% 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 · Strong signals: host · Missing: plus, platform, intuitive30%30% predicted probability of success on AppSumo, 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, crypto5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
BrightStats19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analytics that actually hell you what to do
Indie Hackerscommitment-full-timeAd
Adblock Analytics46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Adblock Analytics
Hacker News42Bi
Birthdays Analytics46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Birthdays Analytics
Hacker News2Pi
Pimp Analytics55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pimp Analytics
Hacker News4Gu
Gumroad Analytics on Steroids52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gumroad Analytics on Steroids
Hacker News35Ma
Mastodon Analytics49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mastodon Analytics
Hacker News5El
Election Analytics UIUC27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Election Analytics UIUC
Hacker News2St
StatMilk - NFL/NCAA Analytics46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
StatMilk - NFL/NCAA Analytics
Hacker News1Co
Composable Analytics52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Composable Analytics
Hacker News2Nu
Nudge Analytics46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nudge Analytics
Hacker News1