LazyGravity – I control my local AI coding setup from Discord via CDP

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I built LazyGravity to solve a personal itch: wanting to trigger real coding tasks when I am away from my desk, using an interface I already have (Discord on my phone). It's a local-first bridge that forwards messages to my desktop AI coding setup, then reports results back. Instead of exposing my dev machine through public ports or relying on cloud relays, it uses Chrome DevTools Protocol (WebSocket) to drive the editor UI locally and securely. I posted a short video demonstrating how it handles UI generation and hot-reloading here: https://x.com/m_web3/status/2027743280923086968 Repo: https://github.com/tokyoweb3/LazyGravity I would love to hear your thoughts on this architecture, especially regarding local CDP security boundaries.

Visit product View on Hacker NewsFeb 28, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, tasks, using · Missing: agents, macos, agent

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

35%35% 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: personal, video, way · Missing: mobile apps, ios, entrepreneurs

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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