Helicone (YC W23)的封面图片
Helicone (YC W23)

Helicone (YC W23)

软件开发

The open-source LLM observability platform for developers.

关于我们

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

网站
https://www.helicone.ai/
所属行业
软件开发
规模
2-10 人
总部
San Francisco
类型
私人持股
创立
2023
领域
Observability和Monitoring

地点

Helicone (YC W23)员工

动态

  • 查看Helicone (YC W23)的组织主页

    1,562 位关注者

    We just improved the Properties pages with new metrics and better user experience! ?? Properties lets you add custom metadata to LLM requests for advanced segmentation and analysis. Tag requests with session IDs, conversation context, or application data to gain deeper insights into your AI application performance. Check out the Properties tab in Helicone.

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  • Helicone (YC W23)转发了

    查看Lina Lam的档案

    Designing at Helicone | Prev. Intuit, Epic Games, GM

    Helicone (YC W23) is growing fast and we need help!! ?? We're hiring a DevRel Engineer to join our founding team. You'll work directly with me and Cole Gottdank to build our growing developer community, create content and help shape the future of AI observability. This is an incredible opportunity for someone passionate about AI and open source to make a real impact. If this sounds like you or someone you know, please apply here (IN PERSON - SF): https://lnkd.in/gWMqWjRb (P.S. feel free to message me or Cole if you have any questions!)

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  • 查看Helicone (YC W23)的组织主页

    1,562 位关注者

    Today, we are introducing our new Generate API. ?? Now you can deploy your Editor prompts effortlessly with a light and modern package. Take the prompt ID in the editor and deploy it everywhere. Supports all the Helicone features natively, while we keep it updated in the Editor. See documentation in the comments.

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  • 查看Cole Gottdank的档案

    Co-Founder @ Helicone

    What happens when you put W25 founders, YC alumni, and an open bar in one room? We'll find out March 18th. Join us... Helicone (YC W23) and Mintlify are hosting a post-batch Happy Hour on March 18th, 5:30-8:00pm. ?? Open tab. ?? Food included. ?? Plus merch. ?????? ????????????????????: You just crushed Demo Day and survived the fundraising gauntlet. You've earned this break. ???? ????????????: Come share your wisdom (and war stories). Join us by RSVPing with the link in comments!

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  • ?? It's an exciting time in AI Research! OpenAI's new Deep Research tool is turning heads—and for good reason. It's designed for users who need in-depth analysis of complex topics, yielding quite impressive results. ?? Meanwhile, free alternatives like Perplexity’s Deep Research and Open Deep Research are gaining traction as a response to OpenAI's $200/month price tag. Our latest blog dives into key capabilities of OpenAI Deep Research, and how it compares to more budget-friendly alternatives (Google, Perplexity, other open-source research tools). ?? Link in comment. #DeepResearch #LLM #AIDeveloper #AIObservability

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  • ?? Grok 3 just dropped and it's making big claims about being the "Smartest AI in the world". Here's how it compares with top models right now: ?? ???????????????? ?????????????????? Early users found Grok 3’s “Thinking” mode solves problems better than many competitors. ?? ?????????? Grok 3 performed well on structured logic problems with proper chains of thought. ?? ???????? ???????????? ???????? Found high-quality information on recent events, similar in depth and quality to Perplexity's Deep Research, but not at the level of OpenAI's. ?? ???????????? ?????????????????????? Early user found Grok 3?struggled with complex coding. GPT-4o and Claude provided better solutions. ?? ???????? & ???????????????? ?????????? While strong in structured problem-solving, it failed Andrej Karpathy’s?Unicode emoji mystery challenge, whereas DeepSeek's R1 performed better. ?? ?????????? & ???????????????????? The model lacks any advanced abilities for humor. When asked for jokes, it repeatedly gave variations of the same puns, similar to older LLMs. ?? ????????-???????????????? ???????????? Early users found Grok 3?hallucinating citations?and even inventing fake URLs, similar to problems seen in other LLMs. Overall, Grok 3 has been impressive but not perfect—and still lags behind OpenAI’s o3 in benchmarks. Detailed comparison in the comments.?? #xAI #LLM #AIMonitoring

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  • Helicone (YC W23)转发了

    查看LastMile AI的组织主页

    3,465 位关注者

    ?? Product Launch Alert?- AutoEval is Now Live on Helicone?? Model Evaluation Meets AI Observability ?? LastMile AI has partnered with Helicone (YC W23) to bring native AutoEval metrics directly into Helicone’s AI observability platform. If you’re using Helicone to monitor AI applications, track experiments, and optimize LLM usage, you can now run evaluations, compare model performance, and analyze drift—all in one place. What This Means for You: ??Seamless model evaluation: Track model accuracy, latency, and reliability without switching tools ??Real-time cost insights: Monitor API usage and optimize spending across LLMs ??Better decision-making: Identify the best-performing models based on real-world production data Get Started Today ?? Read the integration guide (Link in the comments??) ?? Try it out on Helicone (YC W23)'s platform

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