Save Claude, codex, Grok and OpenCode sessions to an infinite canvas

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Hi HN, I’m Michael, I built AgentGrid with my friend Souren because we were tired of losing our coding sessions and couldn't keep track of what was actually being built across our many projects. Our approach was to use an infinite canvas desktop app for the TUIs we already know and love, mainly claude + codex. We drew inspiration from Figma and Railway. Overtime we added image nodes, notes, terminals, coding editors, source control, etc. I wasn't sure about it at first. It took me a month to give the first version Souren built a real try. What got me was an Apple System Update I've been ignoring for weeks to avoid losing my +20 open claude code tabs in warp. In the course of using it and contributing, I broke it a few times and had to go back to the way we were doing things. It was miserable. It's been a few months now and I can't imagine going back. Most of you are builders and this tool should be really helpful. So I'd love for you to give it a spin. I would love your honest opinion. For the rest of the discussion, I would love to focus on the question of what is the right UI for agentic engineering? I would argue IDE is too much in the way, TUI is a terrible DX with a lot of hacks just for basic features. Finally, a GUI chat interface is far better but lacks the dimension of seeing the connection between items and is a poor collaboration surface. Now infinite canvas has a sprawl problem too, What do you think?

Visit product View on Hacker NewsAug 25, 2026

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

98%98% 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 · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

52%52% 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: month, way · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface, builder · 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

22%22% 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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