Lightport – open-source AI gateway

Hacker News

Hey HN! I am the founder of Glama. We are making Lightport open-source – it's the AI gateway that's been powering Glama. GitHub: https://github.com/glama-ai/lightport Live: https://glama.ai/ai/gateway Why? We're going all-in on the MCP ecosystem – it's what we're best at. Open-sourcing the gateway is both a thank-you to the community that helped us grow and a way to keep us focused. The short backstory: Lightport began as a fork of Portkey. We needed a way to make various LLM providers OpenAI-compatible, and Portkey provided a solid foundation. But it also came with many higher-level features (guardrails, billing, etc.) that we didn't think belonged at this layer – and that made it hard to iterate on provider compatibility. So we slimmed it down, fixed bugs, added integration tests for 80+ providers, and shaped it into one thing: a reliable, lightweight layer that makes any LLM provider OpenAI-compatible. What's next: More modules will follow – guardrails, billing, retries, telemetry – each open-sourced as standalone middleware. We'll continue to maintain Lightport in the open, with a focus on OpenAI compatibility across LLM providers. For Glama users: The Glama AI gateway will continue to function as a privacy-first gateway, but we will support only a curated set of providers (OpenAI, Anthropic, Google, Grok, Groq, DeepSeek, Alibaba, Moonshot, and a few others). For everything else, OpenRouter is a great alternative. Try it, break it, build with it. I can't wait to see what you make.

Visit product View on Hacker NewsApr 28, 2026

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

91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: google, users, way · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% 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

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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