Bl
Blog User Browser – discover blog users
Hacker NewsBlog User Browser – discover blog users
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos71%71% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released55%55% predicted probability of success on Hacker News, 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: users · Missing: mobile apps, ios, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto31%31% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ri
Ridiculously over-engineered my blog64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ridiculously over-engineered my blog
Hacker News13Ri
Ridiculously over-engineered my blog64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ridiculously over-engineered my blog
Hacker News15Mi
Migrating a Jekyll blog to GatsbyJS45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Migrating a Jekyll blog to GatsbyJS
Hacker News2Go
Goose.us – Another blog from a wannabe philosopher48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Goose.us – Another blog from a wannabe philosopher
Hacker News4Bl
Blog made with CouchDB/PouchDB46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Blog made with CouchDB/PouchDB
Hacker News6Co
Cotter – Members-Only Blog35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cotter – Members-Only Blog
Hacker News3My
My Blog46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Blog
Hacker News6My
My Blog46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Blog
Hacker News2My
My redesigned blog38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My redesigned blog
Hacker News2Treanches41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A blog
Indie Hackers2education