Actual performance
106upvotes
5comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto72%72% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released50%50% 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, revenue40%40% 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, podcasting36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Oh
OhLife for Work Teams63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OhLife for Work Teams
Hacker News1Ru
Run with Mark (Runkeeper only)34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run with Mark (Runkeeper only)
Hacker News3Ru
Run with Mark (for Runkeeper)34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run with Mark (for Runkeeper)
Hacker News1Ru
Run your cronjobs at auspicious timings53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run your cronjobs at auspicious timings
Hacker News3Mi
Minos Run on Raspberry PI456%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Minos Run on Raspberry PI4
Hacker News1Ru
Run Firefox in a VM54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run Firefox in a VM
Hacker News1Ru
Run Firefox on Lambda53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run Firefox on Lambda
Hacker News1Ru
Run Turing's reaction-diffusion on your own meshes76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run Turing's reaction-diffusion on your own meshes
Hacker News1Ru
Run Mapper53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run Mapper
Hacker News1ru
run-after53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
run-after
Hacker News6