Rayrun – one MCP gateway for the whole company

Hacker News

Hey HN, First time building SaaS. Don't be too harsh, but I would appreciate your feedback. I have a strong technical background, but never had an opportunity to design as much as a landing page or think about product positioning. If you see something that's an obvious gap, please take a second to leave a comment. Now, the product: I use MCPs. I've worked in teams that use MCPs. Regardless of whether you are 1 or many, these are the issues that you will run into: * random API keys in .env files * OAuth credentials that expire * no visibility of which MCPs are used * no controls over what data is being sent to MCPs There are also nice-to-haves that you wish you've had: * hosting/sharing private MCP tools * fixing context bloat MCP gateways are designed to solve these problems. However, in my experience, they are expensive and hard to use. Everything that I've tried felt like it was designed by someone who can conceptualize the problem, but hasn't experienced it. Whereas I have seen it working for a big team and also trying to setup my own development environment. And that's Rayrun – an MCP gateway that solves hosting, data governance, secrets, OAuth rotation, and gives visibility across your organization. It's designed to be useful whether you are solo or a 500 people team. I would truly appreciate you giving it a try and ask any questions or share observations. If you are curious about feature parity with the existing MCP gateways, I've made a comparison matrix https://ray.run/compare

Visit product View on Hacker NewsSep 10, 2026

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

91%91% 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 · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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: way · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

14%14% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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