Actual performance
305upvotes
8comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, computer · Missing: mac, agents, macos95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal57%57% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto27%27% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Op
Open Computer Use83%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open Computer Use
Hacker News9CU
CUA-S1 – A System One Model for Computer Use42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CUA-S1 – A System One Model for Computer Use
Hacker News90
Claude Computer use86%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Computer use for automating operations
Product Hunt+641Artificial Intelligence"C
"Computer use" mcp for webapps and Electron apps33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
"Computer use" mcp for webapps and Electron apps
Hacker News2Po
Polaris – Toolbox for AI computer use50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Polaris – Toolbox for AI computer use
Hacker News1Ag
Agent – A Local Computer-Use Operator for macOS51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Agent – A Local Computer-Use Operator for macOS
Hacker News6Au
AutoBrowser – Automate your browser with Claude Computer Use56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AutoBrowser – Automate your browser with Claude Computer Use
Hacker News4
Clevrr Computer95%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Computer use but with OpenAI and Gemini models
Product Hunt+195Open SourceA
A computer-use Mac client for Claude Opus 4.538%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A computer-use Mac client for Claude Opus 4.5
Hacker News3
Cua88%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Docker for computer-use agents
Product Hunt+389Open Source