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/

Requirements

What to Build

One deliverable per team, decided by your track:

Track 01 · Data Analysis — an analysis of the provided dataset: findings, models, and charts, in a notebook or repo.

Track 02 · Data Journalism — a published blog post that links back to PyMC Labs. Public data sources only. No scraping.

Track 03 · Benchmarks & Features — a pull request to a PyMC library. A merged PR wins the track.

Daimon is the required tool. The managed version or a self-hosted open-source install both count. Every finding must include the code and data that produced it.

What to Submit

One Devpost entry per team. All items are required — partial submissions are not accepted.

- Track selection (01, 02, or 03)

- GitHub repo or notebook link

- The deliverable for your track: the charts and notebook, the published post, or the pull request

- A written description of what you built. This is what judges score you against, so say what question you answered, what post you wrote, or what feature you added.

Deadline: Saturday, October 10, 2026, 1:30 PM Eastern. No extensions.

Build Multiplayer Data Science Agents · PyMC Labs

Prize breakdown

Timeline

About