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Cordium – FOSS sandbox platform with secretless infrastructure access

Hacker News

Cordium – FOSS sandbox platform with secretless infrastructure access

Hello HN, Cordium is a project that I have been working on for a long time and now I am open sourcing it under Apache 2.0. It was initially meant as a remote development environment (i.e. similar to GitHub Codespaces) for my main project, Octelium, where users can access Octelium-protected resources via browser-based terminals without having to use CLIs and directly connecting from their own machines. But overtime it grew into a general-purpose sandbox platform that can be used for coding by devs, AI agent tasks, CI/CD, etc. The main differentiator here, compared to other dev environments and sandbox platforms, is that Cordium is that it automatically provides identity-based, secretless secure access to resources (e.g. APIs, SSH, databases, k8s, etc.) without having to inject credentials (e.g. API keys, SSH private keys, database passwords, etc.) into the sandbox. You can simply think of it as a sandbox+ZTNA baked-in where access to infrastructure is based on identity and policy-as-code rather than credentials.

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agent, user · Missing: agents, macos, cursor
92%92% 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: ide · Missing: https docs, excited, just released
71%71% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
21%21% 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
13%13% 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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