My
Actual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
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.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive47%47% predicted probability of success on AppSumo, 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% 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, podcasting6%6% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
PM
PM tool where you describe your project and the workspace builds itself57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PM tool where you describe your project and the workspace builds itself
Hacker News1flash.pm17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flash preservation project
Indie Hackers1advertisingStare22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A guide for PM aspirants
Indie Hackers3communicationEx
Explaining GraphQL to a PM Through Analogy; Also: Encouraging Questions67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explaining GraphQL to a PM Through Analogy; Also: Encouraging Questions
Hacker News2PM
PM Reports for FogBugz52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PM Reports for FogBugz
Hacker News3iJustFocus PM24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A local‑first project manager built for solo developers.
Indie Hackers1b2cOr
Ora.pm: June Update52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ora.pm: June Update
Hacker News8SideProjectPM39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We'll pester you like a PM to help you finish that project!
Indie Hackers2productivityMy
My afternoon project, Clustergram55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My afternoon project, Clustergram
Hacker News1Pr
Project Maya72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Project Maya
Hacker News88