about this event
A one-day hackathon built around Daimon, the data science agent from PyMC Labs. Saturday, October 10, 2026, 11:00 AM – 4:00 PM at 307 West 38th Street, New York. Part of #AIWeekNY by Pulse NYC.
Pick a track, form a team of 4–6, and build it with Daimon. Every participant gets $25 in Daimon credit.
Track 01 · Data Analysis: A fictional company's data warehouse — realistic tables plus call recordings. Use Daimon and the PyMC libraries to analyse it, build predictive models, and present the results.
Track 02 · Data Journalism: Gather public data — SEC filings, government datasets, open APIs — analyse it with Daimon, and publish a blog post about what you found, with a link back to PyMC Labs. Use downloadable sources; scraping is unreliable.
Track 03 · Benchmarks & Features: Dig into the PyMC libraries and their code and data-analysis benchmark. Find a feature to add or an evaluation to improve, build it with Daimon, and open a pull request. A merged PR wins the track.
Tracks 01 and 02 do not require code. Daimon writes and runs it; you decide what to ask and check the results. Track 03 needs someone comfortable with the PyMC codebase.
Schedule: 11:00–11:30 AM · Doors open · Registration · Team formation · Coffee 11:30 AM–12:00 PM · Briefing: AI for data science · Unveiling Daimon's new capabilities · Track reveal 12:00–1:30 PM · Building session 1:30 PM · Submissions close on Devpost — no extensions 1:30–2:30 PM · Lunch (pizza provided) · Judges preview — science fair 2:30–3:30 PM · Demos · Results · Closing notes · Networking 4:00 PM · Event concludes
Full brief, rules, and FAQ: https://oct-hackathon-landing.pages.dev/
tracks
Track 01 · Data Analysis
A fictional company's data warehouse: realistic tables plus call recordings. Use Daimon and the PyMC libraries to analyse it, build predictive models, and present the results. No code required.
Track 02 · Data Journalism
Gather public data — SEC filings, government datasets, open APIs — analyse it with Daimon, and publish a blog post about what you found, with a link back to PyMC Labs. Use downloadable sources; scraping is unreliable. No code required.
Track 03 · Benchmarks & Features
Dig into the PyMC libraries and their code and data-analysis benchmark. Find a feature to add or an evaluation to improve, build it with Daimon, and open a pull request. A merged PR wins the track. This track needs someone comfortable with the PyMC codebase.
when
Build Multiplayer Data Science Agents · PyMC Labs
One-day AI Hackathon: doors open and team formation at 11:00 AM, briefing and track reveal 11:30 AM–12:00 PM, building session 12:00–1:30 PM, submissions close on Devpost at 1:30 PM, lunch and judges preview 1:30–2:30 PM, demos and results 2:30–3:30 PM, event concludes at 4:00 PM.
◍ 307 West 38th Street, New Yorktickets
| tickets | price | Fee | Status | description |
|---|---|---|---|---|
| General Admission | Free | TBA | Available | Free entry to the one-day hackathon. Every participant gets $25 in Daimon credit. |