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TrueDeck – open-source multi-agent terminal deck that abstracts memory

Hacker News

TrueDeck – open-source multi-agent terminal deck that abstracts memory

For the past year I've been using VScode as my terminal space, however with the constant friction of reopening sessions, managing different projects, and re-explaining context so agents stayed useful. TrueDesk was my answer. Of course aside from it being open source: Real CLIs side by side, multi-pane layout, session restore, keybinds that smoothly transition windows, and memory/MCP automatic so you don't run a second ops stack. Clean UI that just feels good. Can't forget about the sweet rust + ts build. I'd appreciate a star :3 https://github.com/WutIsHummus/TrueDeck

Visit product View on Hacker NewsJul 29, 2026

Actual performance

1points

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Launch Intel predictions

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

90%90% 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.

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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% 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, personal

39%39% 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

28%28% 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

26%26% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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