A tool for complete WebSocket traffic control

Hacker News

I built a Chrome extension that acts as a WebSocket proxy, allowing real-time monitoring, message simulation, and traffic interception. Think "Proxyman for WebSockets" but integrated into Chrome DevTools. Key features: Real-time WebSocket monitoring and message capture Send custom messages in both directions (client ↔ server) Block incoming/outgoing messages for testing Background monitoring (captures connections even when DevTools is closed) Why: I was debugging a WebSocket chat app and needed better tools than browser DevTools. Existing solutions required external proxies or were too basic. Tech: Injects proxy script to intercept WebSocket constructor, React + Vite UI, Chrome DevTools API integration, MIT licensed. Perfect for debugging WebSocket apps, testing error scenarios, reverse engineering APIs, and QA testing real-time features. Links: GitHub: https://github.com/law-chain-hot/websocket-devtools YouTube Demo: https://www.youtube.com/watch?v=L64x__1xORQ Would love feedback from developers who work with WebSockets regularly!

Visit product View on Hacker NewsJul 31, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, apis · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: ios, apps · Missing: mobile apps, personal, entrepreneurs

37%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, intuitive

34%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, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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