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Shed – Run commands over HTTPS instead of SSH (lambdas / containers)

Hacker News

Shed – Run commands over HTTPS instead of SSH (lambdas / containers)

Hi HN, I needed a way to programmatically execute remote commands in a Docker container without access to the host (no Docker Exec from Codespaces). I also wanted to avoid managing SSH connections for one-off commands in my clients / lambdas. I built Shed, a small Go binary that exposes an /exec endpoint over HTTPS with bearer token auth. It accepts JSON input and produces JSON output. It's early and experimental, but I'm using it in a mobile IDE. Sharing in case others find it useful, and feedback is appreciated.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive
59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: dock, using, code · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, 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
52%52% 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: way · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
32%32% predicted probability of success on Indie Hackers, 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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