
building @sixtyfourai | prev @helixdb, neurocognitive aging research, data science @ ucsd
sf
Joined June 2021
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We partnered with @sixtyfourai to release RECON, a benchmark for people research. Agents get a name and a few identifying details, then have to find hard-to-find facts about that person: 514 facts across 140 real people.
Across 22 systems, precision was close (56–86%), but recall wasn't (8–84%). Most misses were unanswered fields, not misidentified information.
Sixtyfour XHigh ranked #1 at 70.6% weighted accuracy, and High ranked #2 at 54.3%.
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We ran Sixtyfour on Exa’s people and company search benchmarks.
82.8% of our people search results matched the criteria. Exa’s published score: 63.3%.
That is roughly 20 more relevant people for every 100 results.
We came out ahead on all six measures in the chart.

ALT Sixtyfour versus Exa’s published scores on Exa’s people and company search benchmarks. People search, 1,400 queries: first result matches 90.4% versus 72.0%; a match in the top ten 96.6% versus 94.5%; precision 82.8% versus 63.3%. Company search, 605 queries: first result matches 86.4% versus 61.8%; a match in the top ten 94.4% versus 94.2%; precision 79.6% versus 65.9%.
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Introducing the world's first way to screen for fraud on platforms you shop from every day.
Every marketplace runs on sellers it has never met. Sellers sign up under stolen identities, post fake listings, and slip back under new accounts after a ban. Now our agents catch them automatically, work that used to take manual investigation.
Seller fraud used to slip through. Now it turns red with our agents.
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introducing folk beta
the personal ai that lives in your texts and quietly runs your life.
built for everyone. just text a number.
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It's been a longtime coming but our v1 benchmarks are now available! 💨
Check them out below ⬇️
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Want to read about how we develop our database in production?
READ HERE
helix-db .com/blog/developing-a-db-in-prod-hardware
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HelixQL Syntax Highlighting is now available in VS Code and Cursor!
Queries are now more beautiful than ever!
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You asked, we listened!
We have had a lot of feedback asking for an easier and simpler way of deploying Helix via Docker.
You can now launch Helix with Docker directly via the CLI! 🐋
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Helix can now be used directly in @cursor_ai 🚀
You can index your codebase into a graph and then let the cursor agent walk the graph and search data to complete tasks!
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Agents can now walk the graph in Helix directly, no need to generate human readable queries. Just build your MCP server and let your agent discover the data in your DB. Get started now using the Python SDK!
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made this with 5 mins of prompting in After Effects
and I'm only 5% done with the extension

















