HyperArc

OpenAI's deep research allowed users to beyond single questions and into complex multi-step problems, giving it the opportunity to understand what's still missing and retrieving it between each step. @hyperarc_inc's Deep Exploration and Narrate brings this to analytics with human-in-the-loop planning, multi-query execution, self-critique with replanning, and story telling across queries. Find out more in our post! blog.hyperarc.com/p/deep-exp…

Check out the future of data with analytics built natively for AI with @hyperarc_inc's launch on Product Hunt. producthunt.com/posts/hypera… See the magic with questions on our public datasets at app.hyperarc.com/ before you try it out for free on your own data.

How @hyperarc_inc taught LLMs math to be best analyst. blog.hyperarc.com/p/teaching…

Now that you've seen the magic of Vibe Coding from @karpathy, check out Vibe Analysis with @hyperarc_inc. blog.hyperarc.com/p/vibe-ana…

Trending US Executive Orders with LLM Data Pipelines Using LLMs to quantify and cluster all Executive Orders since 1791 for sentiment and political bias. We ran an experiment using embeddings and a zero shot, prompt based technique for sentiment analysis including analyzing each text along 7 political axes: Ideological Tilt, Immigration, Executive Power, Federalism, National Security, Economic Regulation, and Social Inclusion. blog.hyperarc.com/p/trending…

What if your analytics had web search like ChatGPT? What would you ask it? blog.hyperarc.com/p/ask-more…

Notion + Tableau What happens when you get to precisely annotate and augment your data with knowledge directly in your BI tool? Your search and natural language queries gain superpowers. blog.hyperarc.com/p/notion-t…

Handling unbalanced datasets when using AI in analytics. blog.hyperarc.com/p/bi-is-no…

Since @github is down... thought I'd share something interesting we found integrating AI with BI at @hyperarc_inc . We haven't had much success in using AI to "solve" BI, but we've found AI to be very helpful in explaining the intent behind BI in a very human way when augmenting an analyst's exploration. With an Olympics dataset we are able to use our HyperGraph to automatically generate the "human" intuition behind specific (key is specific) changes such as filtering between specific years (1939-1945) to examine "Participation During World War II". Or for specific countries (USA, Mexico, and Canada) to examine "North American Olympic Sports Participation". With this intuition annotating tabular data with natural language we're able to power a deeper semantic search grounded on past explorations. See some deeper AI assisted exploration from Tristan Tao using HyperArc: hyperarc.substack.com/p/olym…

A metrics layer is like your New Year's resolution… It's a great idea, you should probably do it. But like your New Year's resolution, it’s two weeks into January and you've probably already started taking out some of that ice from your daily cold plunge, those intermittent fasts are becoming a little more intermittent, and you’ve been staring into the sun a little less every morning while listening to Huberman. Unlike your New Year’s resolution you can automate your metrics layer with HyperArc. hyperarc.substack.com/p/a-me…

Since Farcaster is a decentrilized network, we all have the unique opportunity to stream and analyze its data permissionlessly for analytics that had previosuly only been possible internally to social networks like Twitter and Facebook or to those with massive budgets (such as the AI company that just purchased rights to reddit data). This @hyperarc_inc DataApp enables realtime interactive exploration of all events in Farcaster, allowing users quicky find intersections in social graphs between users and channels and delve into specific concepts and terms in posts. Check it out here: app.hyperarc.com/?isEmbed=tr…

Farcaster Frames - Finally a compelling Web3 feature for Web2 devs? Part of Slack's success came from its integrations, allowing users to embed external content to provide context through unfurling with additional interactivity through Slack apps. However, for this interactivity, you had to register your app with Slack to get a signing secret as Slack signs each individual request. This locks your app into the Slack ecosystem and forces you to ask for permission to develop and run your app (and is similar in most Web2 platforms) @farcaster_xyz Frames brings similar levels of interactivity to embedded content, think unfurling on steroids, all permissionlessly and "app-less". Instead of just unfurling an image, Frames allows developers to unfurl inputs for interactions and unfurl different content for different users. Instead of a centralized platform signing every request, requests are signed by each user, cutting the middleman out. This makes development easier as its just a client and your server, no platform specific "app" to maintain; but also more portable as verification of requests no longer requires permission from the platform itself.