FOSS sandbox platform for zero trust remote access without secrets

Hacker News

Cordium is a FOSS, self-hosted, identity-based, general-purpose, horizontally scalable sandbox platform that is built on k8s and Octelium, my main work. The main differentiator for Cordium, when compared to other dev environments (e.g. GitHub Codespaces) and sandbox platforms (e.g. E2B, Daytona, etc.), is that Cordium automatically provides identity-based, secretless secure access to resources/infrastructure (e.g. APIs, SSH, databases, k8s, etc.) without having to inject credentials (e.g. API keys and access tokens, SSH private keys/passwords, database passwords, mTLS private keys, etc.) into the sandbox where the upstream credential is held by the identity-aware proxy of the Octelium-protected resource outside the reach of the sandbox. The identity-aware proxy injects, on-the-fly, the upstream credential if the user is authorized via the Octelium policies. In short, Cordium is not just an isolated execution environment that can replace remote development environments and sandbox platforms, but also equally a secure access platform to infrastructure/resources. It's basically a sandbox platform + ZTNA/remote-access-VPN baked-in with unified identity management, L7-aware access control and OpenTelemetry-native realtime visibility.

Visit product View on Hacker NewsJul 29, 2026

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

82%82% 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, io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform, host · Missing: plus, intuitive, reviews

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

23%23% 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

17%17% 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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