Te
Text recognition tool I missed a lot for macOS
Hacker NewsText recognition tool I missed a lot for macOS
Share cardActual performance
5points
3comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
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.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos · Missing: agents, agent, cursor58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Py
Pytorch Text Recognition Tool45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pytorch Text Recognition Tool
Hacker News41LaunchGuardian23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find what your AI missed
Indie HackersSc
Scrapy Middleware for Named Entity Recognition with Stanford CoreNLP56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scrapy Middleware for Named Entity Recognition with Stanford CoreNLP
Hacker News12Ghost Text53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Text Recognition, Reinvented
Indie Hackers1$74/moproductivityEnzak.com47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automated Missed Call Text Back For Business
Indie Hackers4$800/moaiVi
VirutalProg – macOS Virtualization Tool44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
VirutalProg – macOS Virtualization Tool
Hacker News3De
Deep Learning Text Recognition67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deep Learning Text Recognition
Hacker News2A
A Facial Recognition API58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Facial Recognition API
Hacker News2Fi
Fincher, a steganography tool for text52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fincher, a steganography tool for text
Hacker News40Insiteful43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No more missed opportunities™
Indie Hackers2advertising