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Octelium – L7-Aware ZeroTrust Remote Access ZTNA over WireGuard and K8s

Hacker News

Octelium – L7-Aware ZeroTrust Remote Access ZTNA over WireGuard and K8s

Hello HN, I've been working solo on Octelium for years now and I'd love to get some honest opinions from you. Octelium is simply an open source, self-hosted, unified platform for zero trust resource access that is primarily meant to be a modern alternative to corporate VPNs and remote access tools. It is built to be generic enough to not only operate as a a zero-config remote access VPN (i.e. alternative to OpenVPN Access Server, Twingate, Tailscale, etc...), ZTNA/BeyondCorp platform (i.e. alternative to Cloudflare Zero Trust, Google BeyondCorp, Zscaler Private Access, Teleport, etc...), a scalable infrastructure for secure tunnels (i.e. alternative to ngrok, Cloudflare Tunnels, etc...), but also can operate as an API gateway, an AI gateway, a secure infrastructure for MCP gateways and A2A architectures, a PaaS-like platform for secure as well as anonymous hosting and deployment for containerized applications, a Kubernetes gateway/ingress/load balancer and even as an infrastructure for your own homelab. Octelium provides a scalable zero trust architecture (ZTA) for identity-based, application-layer (L7) aware secret-less secure access (eliminating the distribution of L7 credentials such as API keys, SSH and postgres/mysqal-based databases' passwords as well as mTLS certs), via both private client-based access over WireGuard/QUIC tunnels as well as public clientless access, for users, both humans and workloads, to any private/internal resource behind NAT in any environment as well as to publicly protected resources such as SaaS APIs and databases via identity-based, context-aware, L7 aware ABAC on a per-request basis through centralized policy-as-code with CEL and OPA. You can read more in detail about the features and how octelium works in the documentation https://octelium.com/docs

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mcp, google, user · Missing: mac, agents, macos
93%93% 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 · Strong signals: vpn · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, users · Missing: plus, intuitive, reviews
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, users, way · Missing: mobile apps, ios, personal
27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · 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
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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