Thoughts for Mac
Product HuntCapture notes from your menubar using text, images or voice
Share cardActual performance
104upvotes
6comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →Product HuntOn track for Day 1 leaderboard · Strong signals: mac, using, notes · Missing: agents, macos, agent94%94% 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, crypto73%73% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting41%41% 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, revenue24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ex
Extract text from images using Tesseract54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Extract text from images using Tesseract
Hacker News14depict32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
select text from images in browser
Indie Hackers1contentMi
MiniSim – Painless Simulators from Your Mac Menubar41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MiniSim – Painless Simulators from Your Mac Menubar
Hacker News1Voice To Note39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Capture Your Thoughts Before They Disappear!
Indie Hackers1$100/moproductivityHo
Howard – Text him your thoughts45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Howard – Text him your thoughts
Hacker News2IO Annotator30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The AI annotation platform for text and images
Indie Hackerscommitment-side-projectI
I launched a SaaS to explain text from images using AI32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I launched a SaaS to explain text from images using AI
Hacker News1Im
Imagetextedit.com, Edit Text in Images46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Imagetextedit.com, Edit Text in Images
Hacker News1
BrainFlow86%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn your rambling thoughts into coherent notes
Product Hunt+89
Notey55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Capture thoughts effortlessly with smart, secure notes
Product Hunt+117Task Management