Actual performance
331upvotes
45comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: notes · Missing: mac, agents, macos74%74% 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, crypto68%68% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal49%49% 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 released32%32% 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, revenue24%24% 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, podcasting22%22% 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, intuitive20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
BrainFlow86%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn your rambling thoughts into coherent notes
Product Hunt+89Go
Go Tags36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Go Tags
Hacker News2Th
Thoughts on Digital Sticky Notes41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Thoughts on Digital Sticky Notes
Hacker News7Cr
Crowdsourced Thoughts from Uber Drivers in London53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crowdsourced Thoughts from Uber Drivers in London
Hacker News1Th
Thoughts as NFTs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Thoughts as NFTs
Hacker News3A
A Penny for Your Thoughts39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Penny for Your Thoughts
Hacker News3Pe
Penny for Your Thoughts40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Penny for Your Thoughts
Hacker News4BrainDump AI27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Voice first AI notes that auto categorize your thoughts.
Indie Hackers1aiCh
ChatGPT thoughts on my thoughts on their thoughts43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ChatGPT thoughts on my thoughts on their thoughts
Hacker News4
Better Keep Notes71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your thoughts should stay yours
Product Hunt+5