We're excited to share that Helicone is joining Mintlify! 🎉🎉🎉 What this means for our users: Helicone is moving into maintenance mode. Your data is safe and the platform will continue to be accessible, but we will not be shipping new features going forward. Thank you to the thousands of organizations who trusted us with 14.2 trillion tokens. Building this with you has been incredible. Read the full story below👇
Helicone (YC W23)
Software Development
The open-source LLM observability platform for developers.
About us
The open-source LangSmith alternative for logging, monitoring, and debugging AI applications. 1-line integration by simply changing the baseurl to access metrics, prompt management and more. 🚀 Support us on PH: www.producthunt.com/products/helicone-ai 🌐 Docs: docs.helicone.ai ⭐️ Github: github.com/Helicone 🌍 Open stats: us.helicone.ai/open-stats
- Website
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https://www.helicone.ai/
External link for Helicone (YC W23)
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- San Francisco
- Type
- Privately Held
- Founded
- 2023
- Specialties
- Observability and Monitoring
Locations
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Primary
Get directions
San Francisco, US
Employees at Helicone (YC W23)
Updates
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Helicone (YC W23) reposted this
🔥 One area that keeps getting more interesting for me is how we observe and understand 𝗟𝗟𝗠 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗶𝗻𝘀𝗶𝗱𝗲 𝗿𝗲𝗮𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀. Good visibility creates clarity, especially when tuning prompts or comparing models. 🔍 Helicone (YC W23) is a lightweight proxy layer that gives this visibility in a clean, structured way. It started with a strong open source foundation, and it also offers an enterprise version for teams that need more advanced controls. The core idea remains the same; a simple layer that logs prompts, responses, tokens and metadata so LLM traffic becomes well-organised and traceable. A few elements that stood out to me: • A 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗿𝗼𝘅𝘆 𝗲𝗻𝗱𝗽𝗼𝗶𝗻𝘁 that captures every request and response in a consistent format. • 𝗧𝗼𝗸𝗲𝗻-𝗹𝗲𝘃𝗲𝗹 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 that make prompt optimisation more grounded. • 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝘁𝗿𝗮𝗰𝗶𝗻𝗴 that helps map interactions across user journeys. • 𝗠𝘂𝗹𝘁𝗶-𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 that makes model comparisons straightforward. 💡 What interests me is the broader role of tools like this in the 𝗔𝗜 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺. As AI features mature, 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗮 𝗱𝗲𝘀𝗶𝗴𝗻 𝗶𝗻𝗽𝘂𝘁, not an afterthought. It enables teams to treat LLM behaviour with the same discipline they use for any production system, which leads to 𝗺𝗼𝗿𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 𝗮𝗻𝗱 𝗱𝗲𝗽𝗲𝗻𝗱𝗮𝗯𝗹𝗲 𝗔𝗜 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀. Thoughtful visibility often unlocks better design decisions, and Helicone is a simple example of how that foundation can be built without adding friction. #AIEcosystem #AIEngineering #Observability #OpenSource #LLMMonitoring
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We're live on Product Hunt! Check the link in the comments to support us 😁
Today, we’re launching the Helicone (YC W23) AI Gateway — officially open to everyone. And with this launch... comes some very exciting news 👀 We’re live on Product Hunt! 🚀 One API key. 100+ models. 0% markup fees. Over the last two months, we rebuilt Helicone from the ground up to make AI infra simpler — no more juggling API keys, handling 429s, or debugging invisible routing logic. This gateway gives teams full control over how their apps talk to models — with observability, cost tracking, and routing built in. We’ve killed three prototypes to get here, but boring tech won. The kind that’s fast, reliable, and simple. If you’re building with AI, we’d love your support on Product Hunt ❤️ 👇 (link in the comments)