He
Actual performance
105points
32comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal60%60% predicted probability of success on TrustMRR, 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 · Missing: mac, agents, macos55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive21%21% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
We
Weekly Podcast on CVEs48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Weekly Podcast on CVEs
Hacker News4
vol35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
searches podcast episodes that help you be the best you
Product Hunt+123ProductivityLiturgiCal32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A tool to help church musicians to plan weekly repertoire.
Indie HackersKompilator Podcast34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A bi-weekly podcast in Swedish about software development
Indie Hackers1$50/mopodcastingWe
Weekly developer news podcast46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Weekly developer news podcast
Hacker News3Po
Pony Foo Weekly45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pony Foo Weekly
Hacker News15Po
Pony Foo Weekly45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pony Foo Weekly
Hacker News2Sv
Svelte Weekly Newlsetter45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Svelte Weekly Newlsetter
Hacker News2An
Ansible Weekly40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ansible Weekly
Hacker News2We
Weekly Robotics Podcast Project Ep1 – BioRobotics with Auke Ijspeert59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Weekly Robotics Podcast Project Ep1 – BioRobotics with Auke Ijspeert
Hacker News1