ssh chat.shazow.net

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ssh chat.shazow.net

Hi HN, I wrote a custom SSH server in Go, give it a try. It uses your terminal user and SSH keys to authenticate implicitly. Instead of getting a shell, you get an IRC-style chatroom with everyone else. $ ssh chat.shazow.net If you're getting "Permission denied (publickey)", please use ssh-keygen to create a keypair. Instructions here: https://help.github.com/articles/generating-ssh-keys/ SSH is a really cool protocol; it's a lot like HTTP2. This is a demo of one thing you can do with it, but I plan to factor out the code into libraries that will let you build all kinds of experiences that can be used with any SSH client. The source code is here: https://github.com/shazow/ssh-chat (Should be reasonably stable and handle thousands of connections, but apologies in advance if it crashes: Try to reconnect in a minute.)

Visit product View on Hacker NewsDec 12, 2014

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, code · Missing: mac, agents, macos

57%57% predicted probability of success on Product Hunt, 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.

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

36%36% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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