Today I'm excited to announce that we are launching @hyperparamapp, an AI-powered Swiss Army knife for massive LLM datasets. It lets you view, score, filter, label, and transform LLM data directly in the browser. I started Hyperparam one year ago because I knew that the world of data was changing, and existing tools like Python and Jupyter Notebooks were not built for the scale of LLM data. The weights of LLMs may be tensors, but the input and output of LLMs are massive piles of text. The training set of LLMs is a large corpus of text from various sources, meticulously cleaned and preprocessed. The output of LLMs is also text, and it’s being produced in even greater quantities than the training data. No human has the patience to sift through all that text, so we need better tools to help us understand and analyze it. That's why I built Hyperparam to be the first tool specifically designed for working with LLM data at scale. To accomplish this required rethinking how data analysis tools work. I started Hyperparam as a side project and wanted to see if I could build it entirely in the browser. No Python, no servers, just pure interactive web experience. I'm pretty excited about how it turned out. Hyperparam is fast, powerful, and easy to use. It can handle datasets with millions of rows of text and provides a rich set of tools for exploring and analyzing that data using LLMs agents for assistance. Every company is now producing volumes of LLM data. Chat logs, agent traces, coding agent logs, and more. Hyperparam is designed to help you make sense of all that data. If you're working with LLM data (and let's be honest... every company is producing LLM data now), I encourage you to give Hyperparam a try. It’s free while in beta. 🚀

We're excited to share that @RavennaHQ has raised $15M from @MadronaVentures @khoslaventures and @founderscoop to reimagine internal support for modern teams. 💪 🙏@adinatecklu @tmporter @aviel Read more on the Ravenna blog: ravenna.ai/blog/ravenna-rais…

Great insights from this conversation. Bhrighu’s journey from @Microsoft to @Highspot is a great example of how scaling, leadership, and AI innovation come together in a high-growth environment. Thx again Bhrighu - super fun!

thanks for the great conversation Bhrighu! terrific insights on how you are scaling @highspot product and engineering, as well as life after @Microsoft

Wow - incredible new release from @runwayml 🔥

Introducing Gen-3 Alpha: Runway’s new base model for video generation. Gen-3 Alpha can create highly detailed videos with complex scene changes, a wide range of cinematic choices, and detailed art directions. runwayml.com/gen-3-alpha (1/10)

List of Cities With Multiple Trillion $ Companies Seattle

Loved talking with @cmcluck … lots of great insights here for founders and cybersecurity customers!

Made for these moments. #USvsUS

It is widely understood that revenue growth is crucial to the success of a #startup. But at what point should a startup be thinking about long-term #revenue growth and, in turn, hire a #ChiefRevenueOfficer? @LorenAlhadeff breaks it down here: bit.ly/45xQk51 #CRO

Hey OSS maintainer friends! We are looking connect and talk a little about your supply chain security requirements and practices. Please DM me if you are up for a discussion with @eryn_muetzel and myself. We will try to make it worth your while. :)

Exciting partnership between two amazing technical teams!

Don't miss @tmporter's chat with @NumbersStnAI Founders @chamii22 and Chris Aberger. We are excited about the unique work Numbers Station is doing applying #FoundationModels to #datawrangling. 👂👉 bit.ly/3N3BxIT #ai #data #analytics #founders #dataanalytics

Terrific to see @WhyLabs integrated with @langchain to provide LLM observability

Let's build! 6/10 Seattle AI Hackathon, from @awscloud and @MadronaVentures, sponsored by @OpenAI, @pinecone, @weaviate_io, @statsigio, @getblueprintai. Prizes and early access to tech not publicly available. Judges incl @1vnzh @vijayeraji and @tnachen. Bring yourself or a team.

Had a wonderful time at the AI for builders podcast where I talk about the need for Guardrails when building with LLMs! Huge shoutout to @jturow and @doppenhe for inviting me and some amazing speakers like @laurel_orr1 and @GrantSlatton

amazing.

Go @GroundlightAI !! Excited for opportunity to invest and work with this team to bring easy, affordable and accurate computer vision to mainstream industrial developers and builders.

Numbers Station is bringing the power of foundation models to data analytics. Incredible team and amazing product. Super excited for @MadronaVentures to lead their Series A. @tmporter @jturow