Actual performance
114upvotes
7comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Strong signals: audio · Missing: web3, chat, crypto82%82% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released60%60% 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, personal45%45% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
Incorrect prediction on native model
Similar products
AI
AI Audiobook Narrator19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Audiobook Narrator
Hacker News6VoxShelf53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn any book into an audiobook.
Indie Hackerscommitment-side-projectwe
we are trying to PDF publications fun to read36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
we are trying to PDF publications fun to read
Hacker News2Wonderment52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Audiobook Studio
Indie Hackerscommitment-side-projectAn
Analyzing a snapshot isolation read anomaly27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analyzing a snapshot isolation read anomaly
Hacker News6Sh
Shit I Read54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shit I Read
Hacker News3Re
Read less and do more with SummarizeBot47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Read less and do more with SummarizeBot
Hacker News2I
I ported danmaz74 "HN: Mark All Read" to Firefox38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I ported danmaz74 "HN: Mark All Read" to Firefox
Hacker News1Sh
Show HN : Figure out how much more you have to read63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : Figure out how much more you have to read
Hacker News1UR
URLTodo – The treatment for "Read It Never" syndrome47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
URLTodo – The treatment for "Read It Never" syndrome
Hacker News2