Ttydterm, browser terminals with Unix tools (ttyd, tmux)

Hacker News

I built ttydterm because I live in the browser or pi.dev these days, and well, we could combine them. I wanted workspaces, split panes, themes, and persistent processes without building them from scratch. ttydterm is the result. It ships as one self-contained index.html file. ttyd serves the page along with the same-origin /token and /ws endpoints. React, xterm.js, the addons, and all styles are bundled, so there are no runtime network dependencies. The default setup binds ttyd to 127.0.0.1 and uses Basic Auth. The documentation covers TLS, origin checks, trusted configuration, and browser notifications. Workspaces: Keep projects and terminals separate. Split panes: Arrange rows and columns. Pane setup: Choose each command and working directory. tmux continuity: Keep processes running through disconnects. Completion alerts: Mark finished commands and notify when away. Themes: Choose colors, patterns, fonts, and weights. Keyboard control: Navigate and search without the mouse. Backup: Export and restore your workspace configuration. Offline: Run the complete interface from one index.html. Hackable: Build your terminal just like you want it. I've set up the base. Demo and documentation (the same index.html): https://www.gulecha.org/ttydterm/ Source: https://github.com/anilgulecha/ttydterm

Visit product View on Hacker NewsAug 30, 2026

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

71%71% 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 NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

63%63% 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 HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

11%11% 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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