La
Labelformat now supports all major vision labeling formats
Hacker NewsLabelformat now supports all major vision labeling formats
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
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.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Qq
Qq: like jq, but can transcode between many formats62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Qq: like jq, but can transcode between many formats
Hacker News115My
My implemented vision of a PIM57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My implemented vision of a PIM
Hacker News53Ha
Halo – Vision Headphones52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Halo – Vision Headphones
Hacker News1Ou
Our vision of Wunderlist52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our vision of Wunderlist
Hacker News2
Kotona Vision38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
solidworks
Product HuntWe
Web-Based Inspectors for Binary Formats54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Web-Based Inspectors for Binary Formats
Hacker News5Re
Recursively detects and decodes multiple formats in nested data31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Recursively detects and decodes multiple formats in nested data
Hacker News2Do
Dogma: a metalanguage for describing data formats in documentation53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dogma: a metalanguage for describing data formats in documentation
Hacker News3Co
Convert documents to other formats with Elixir and LibreOffice62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Convert documents to other formats with Elixir and LibreOffice
Hacker News4Da
Datetime-bench: which datetime formats LLMs get right (and wrong)60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Datetime-bench: which datetime formats LLMs get right (and wrong)
Hacker News2