Fi
Actual performance
64points
40comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto76%76% predicted probability of success on BetaList, 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: user · Missing: mac, agents, macos63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released50%50% 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, personal47%47% 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, podcasting34%34% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ca
Catch bugs before your users do37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Catch bugs before your users do
Hacker News4Ca
Catch bugs before your users do35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Catch bugs before your users do
Hacker News1Pl
Playrun.dev – Catch bugs before your users do52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Playrun.dev – Catch bugs before your users do
Hacker News1ClickStorm54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deploy AI Users. Find real bugs.
Indie Hackers1aiOn
Onboard your users through fancy introductions51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Onboard your users through fancy introductions
Hacker News1Ce
Cedreo is officially launched for American and German users37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cedreo is officially launched for American and German users
Hacker News1Q&
Q&A for HN users55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Q&A for HN users
Hacker News142Pr
Pretender - See what your users see50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pretender - See what your users see
Hacker News18Ac
AccessMap – illustrate obstacles for wheelchair users in Seattle50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AccessMap – illustrate obstacles for wheelchair users in Seattle
Hacker News3Un
Unifying Identities of Users50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Unifying Identities of Users
Hacker News3