Actual performance
8upvotes
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% 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, podcasting41%41% predicted probability of success on Indie Hackers, 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto35%35% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive31%31% 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, revenue11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Bl
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 News8Th
The #1 Reason Your Product Fails – Ignoring User Feedback38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The #1 Reason Your Product Fails – Ignoring User Feedback
Hacker News2FeedbackPoster65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User feedback software
Indie Hackers1analyticsAu
Automate User Feedback36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automate User Feedback
Hacker News1Changelogfy46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build Awesome Products from User Feedback
Indie Hackers8$2,700/mocommunicationUs
UserInsights – Get 5 minutes of real user feedback39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UserInsights – Get 5 minutes of real user feedback
Hacker News31Ol
Olvy Feedback – Convert user feedback into user love39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Olvy Feedback – Convert user feedback into user love
Hacker News2A
A way to respect all your user feedback and your time44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A way to respect all your user feedback and your time
Hacker News3askghost33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get real user feedback with one email.
Indie Hackerscommitment-side-projectUs
Usersnap – Collect User Feedback40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Usersnap – Collect User Feedback
Hacker News1