Actual performance
703upvotes
110comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: cursor · Missing: mac, agents, macos86%86% 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, crypto82%82% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% 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, podcasting37%37% 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, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
An
Analyzing Documents with Three Sigma39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analyzing Documents with Three Sigma
Hacker News1Do
Doksbin - Pastebin for Documents49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Doksbin - Pastebin for Documents
Hacker News7Re
Redis-Automerge: CRDT Documents for Redis52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Redis-Automerge: CRDT Documents for Redis
Hacker News5Pa
Parseflow, how to parse documents when you're broke49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Parseflow, how to parse documents when you're broke
Hacker News2La
LavaSend - SnapChat for documents71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LavaSend - SnapChat for documents
Hacker News1Bunni59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI for your documents
Indie Hackerscommitment-full-timeBunni60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI for documents
Indie Hackers1aiIP
IPychat – Cursor for IPython43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
IPychat – Cursor for IPython
Hacker News1Lo
Lotas – Cursor for RStudio70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lotas – Cursor for RStudio
Hacker News82Cu
Cursor for Userscripts68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cursor for Userscripts
Hacker News56