SuperPlane - open source DevOps control plane

Hacker News

Hey HN! We're Marko and Darko, building SuperPlane with a small team. SuperPlane is an open source DevOps control plane for running event-driven workflows. It works across the tools teams already use like Git, CI/CD, incident response, observability, infra, notifications, etc. You can think of SuperPlane as 'n8n/Zapier for DevOps'. How do we do DevOps today? For many teams it's a mix of brittle scripts, one-off CI jobs, bespoke GitOps, and manual approvals scattered across channels. Pipelines are often the only workflow engine available, but they’re not a great fit when a workflow needs to span multiple repos/tools, wait for humans, or run over hours and days. Previously we built a CI/CD company Semaphore so we've seen it first-hand. SuperPlane gives you a place to model these workflows as a system: connect your tools, define how events flow, and get a complete, queryable execution history for debugging, audit, and shared understanding. Examples of what you can do with SuperPlane today: - Cross-tool automation with guardrails: coordinate releases with approvals, time windows, checks, and rollback paths. - Human-in-the-loop operations: pause for sign-off, collect decisions, and resume where you left off. - Incident and on-call workflows: pull context from multiple systems, fan out notifications, and keep a work log. - Glue work you don't want to re-build: webhooks, retries, routing, payload transforms, and a unified run history. See pre-built examples in the docs: https://docs.superplane.com/get-started/example-use-cases/ Project status: - Self-hosted only right now, alpha release. Apache 2. - Integrates with GitHub, OpenAI, Dash0, PagerDuty, Slack, Cloudflare, Semaphore, AWS Lambda, SMTP, webhooks. Much more planned. Links: - GitHub repo: https://github.com/superplanehq/superplane - Docs: https://docs.superplane.com Curious to hear your take, especially: 1. What's the first DevOps workflow you’d want to encode? 2. Which missing integrations matter most to you (eg GitLab, Rootly, Kubernetes, Datadog, Terraform, etc)? We’ll be in the comments. Thanks for reading!

Visit product View on Hacker NewsJan 28, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, slack, context · Missing: mac, agents, macos

97%97% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, pipe · Missing: https docs, excited, just released

74%74% 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 HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

72%72% 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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

16%16% 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

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