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"Computer use" mcp for webapps and Electron apps

Hacker News

"Computer use" mcp for webapps and Electron apps

Circuit MCP allows agents to use webapps and electron apps like a human would. For a while I've been using browser automation MCPs to have my agents test webapps as they developed them - autonomously. I was using Microsoft's Playwright MCP for this and it worked pretty well. Found myself building an Electron app and needing the same thing but nothing existed, so here it is! It supports both Electron AND web apps (you just install a different package), since it's uses Playwright under the hood and they're not very different. Here's the config to drop in your agent (Claude Code, Gemini CLI, Cursor, etc): { "mcpServers": { "circuit-web": { "command": "npx", "args": ["@snowfort/circuit-web@latest"] }, "circuit-electron": { "command": "npx", "args": ["@snowfort/circuit-electron@latest"] } } }

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, cursor · Missing: mac, macos, model
99%99% predicted probability of success on Product Hunt, 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, gemini · Missing: reddit linkedin, podcasting, created
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, io · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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