Actual performance
117upvotes
11comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos63%63% 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, crypto62%62% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released45%45% 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, podcasting30%30% 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, intuitive25%25% 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, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
trnscrb91%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
On-device transcription for macOS with MCP
Product Hunt+100Meetings
Emra44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Type with your voice and always-on transcription
Product Hunt+63WindowsEnunci46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Online Voice Audio Transcription
Indie Hackers1aiSl
Slipbox – On-Device Transcription for Meetings, Podcasts and Videos37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Slipbox – On-Device Transcription for Meetings, Podcasts and Videos
Hacker News1My
My Device Properties33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Device Properties
Hacker News4Ja
Java Compiler – Compile Java on any device51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Java Compiler – Compile Java on any device
Hacker News3Ch
Chemical and electronic nose experiment device41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Chemical and electronic nose experiment device
Hacker News1Trolley Stopper72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A device to restrain supermarket trolley / carts
Indie Hackerscommitment-side-projectWe
We Opened Up Our Transcription Tool59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We Opened Up Our Transcription Tool
Hacker News1Legible13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Simple Transcription for Podcasters
Indie Hackers