ColliePWA, a self-hosted mobile terminal for coding agents, with alerts

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Sharing the PWA[1] I built over the last couple of weeks to access my terminal sessions/agents when not in front of my computer. This started off as a weekend experiment right when herdr[2] (terminal multiplexer) released the functionality to write custom plugins and it's been quite helpful to me ever since. The general idea is that this runs a web app on the host machine which is then exposed through a front door implementation like tailscale/netbird/cloudflare tunnels etc. A lot of devs/teams are building sth very similar to this right now so there are many options out there already but I wanted: A PWA (no app store dep), better keyboard support than termux, the ability to manage multiple machines and easy integration with my existing tailnet via headscale. Some of the other features - Push notifications - Support for tmux and zellij (experimental) - Voice transcriptions (Codex sub or API) - Custom commands for cc/codex/pi etc (add your own) - Visual cues for when token cache goes stale You can check out a live demo with dummy data on the website[1] or look at the implementation on Github[3] (PRs welcome). Looking forward to receiving some feedback or learning more about how people access/work with their agents on the go. Also if you encounter any bugs please report them on Github, if a feature is missing you'd really want to see, open a discussion. [1] https://colliepwa.dev [2] https://herdr.dev [3] https://github.com/AltanS/collie

Visit product View on Hacker NewsSep 20, 2026

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

97%97% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · 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.

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

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

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% 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

22%22% 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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