E2E Encrypted Terminal Screen Share

Hacker News

TLDR: single command share your terminal screen via a web browser or terminal client. Yesterday I was on a Google Meet call and I wanted share something in my terminal. I made the mistake of going for the screen share built in to Google Meet. Something about Fedora, Wayland, Firefox, Hyprland, and Google Meet caused my laptop to completely freeze up. Frustrated, I thought “why can’t I just share my terminal?” So I built that. Yes, I built it using AI, following a spec-driven approach. If there are fundamental flaws, please let me know. I’m only sharing because it solved a real problem for me. I’m not selling anything. Hope it can be helpful :)

Visit product View on Hacker NewsMay 21, 2026

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2points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, single, using · Missing: mac, agents, macos

91%91% 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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

58%58% 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: google, way · Missing: mobile apps, ios, personal

34%34% 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

33%33% 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

19%19% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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