TB

TBD, a Mac-native CLI-forward coding agent multiplexer

Hacker News

TBD, a Mac-native CLI-forward coding agent multiplexer

Inspired by Conductor, dmux, claude-squad, agent-deck, and Git Tower ## What makes it different: (Aside from GUI) A core tenet is -- everything a user can do manually, must be exposed via CLI for agents/automation Best paired with something that lets agents in different worktrees talk to each other (e.g. https://github.com/cheapsteak/agent-channels ) ## Background: I used and loved Conductor for months starting around January, but hit some persistent issues that made me realize that a core tool that I'm actively using for most of my waking hours sits too close to my skin to produce itches that I can't scratch myself After realizing I needed to switch to something hackable, I went through a few week-ish long trials of dmux, claude-squad, and agent-deck. They were all great, but I then realized I really didn't want to memorize keyboard shortcuts, and I've managed to put off learning how to drive tmux for over a decade, didn't want to end that streak XD So TBD happened in March. In the months since, it's gotten stable enough to the point where a few former and current colleagues have switched to using it as their daily drivers as well. It's been kind of like a fun little club house we contribute to The architecture is a daemon that handles the bulk of state management and actual work, and CLI and GUI clients as two interfaces. Users go through GUI, LLMs and scripts go through CLI. It works best for Claude Code (our shared daily drivers) but two of us also use Codex on the side, so there's some basic support there as well The only way to run it is to clone and build from source, partially b/c I imagine the main appeal is for people who need to hack on the thing they're using (but also b/c didn't want to shell out for an Apple dev license) I think it's now a good enough starting point for similarly minded folks to use as a base to fork and build your own variants, tailored to your own workflows

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, cursor, model
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
94%94% 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
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: month, users, way · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface, users · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Missing: web3, chat, crypto
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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