Actual performance
140upvotes
39comments
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, macos87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released43%43% 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, podcasting43%43% 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, personal37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive26%26% 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, revenue17%17% 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, crypto10%10% predicted probability of success on BetaList, 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 News2
OmniParser V295%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn any LLM into a Computer Use Agent
Product Hunt+305User ExperiencePo
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 Source
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