Us
Actual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos74%74% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto64%64% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal41%41% 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 released40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive22%22% 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, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ca
Canny, collect and organize user feedback45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Canny, collect and organize user feedback
Hacker News5Ca
Canny, collect & organize user feedback45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Canny, collect & organize user feedback
Hacker News5Wi
Wishlist – Collect and organize user feedback53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Wishlist – Collect and organize user feedback
Hacker News4évolt54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Collect user feedback and get actionnable results
Indie Hackers1analyticsTecca39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Collect and manage user feedback in one place
Indie Hackers1analyticsPollPopup34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Collect user feedback with integrative Popup Polls
Indie Hackers1analyticsI
I made a free product to Collect User Feedback With Ease32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a free product to Collect User Feedback With Ease
Hacker News2Talo39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Collect user feedback straight from your website
Indie Hackers2analyticsCo
Collect instant user feedback directly on your website.45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Collect instant user feedback directly on your website.
Hacker News45Bl
Blatta – User Feedback in Seconds38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Blatta – User Feedback in Seconds
Hacker News8