Daimon Hackathon · PyMC Labs · Date and venue to be announced
Three tracks. One agent. Ship it.
Analyse a company's data, publish a data story, or land a pull request in the PyMC libraries — with Daimon as your teammate. Every participant gets $25 in Daimon credit. One judge picks what holds up.
- 3Tracks
- 4–6Per Team
- $25Daimon Credit
- 1Judge
Presented by
The Brief
The three tracks and who does what on a team of four to six.
- Objective
- Tracks
- Roles
Pick a track. Put Daimon to work. Ship something a judge can open.
Three tracks, one agent. Analyse a company's data warehouse, publish a data story from public sources, or land a pull request in the PyMC libraries — with Daimon doing the heavy lifting. Every participant gets $25 in Daimon credit. What you ship is what gets judged.
Pick a track, then ideate freely within it.
Three ways in. Pick the one that fits your team, then define the problem, the output, and what done looks like in your brief.
Data Analysis
A fictional company's data warehouse: realistic tables plus call recordings. Use Daimon and the PyMC libraries to dig through it, build predictive models, and show what the business should do next.
For teams who want to model, forecast, and visualize.
Data Journalism
Gather public data — SEC filings, government datasets, open APIs — compile and analyse it with Daimon, and publish a data blog post that links back to PyMC Labs. Stick to sources you can download; scraping gets blocked.
For teams who want to find the story in the numbers and tell it.
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. Merged and well pitched is a win.
For teams who want to ship upstream and argue about design first.
One judge, one question: does the result hold up? A model that predicts, a post worth reading, a PR that gets merged.
Everyone has a job. Non-technical people aren't support.
Driver
Runs Daimon, owns the repo or the notebook, and keeps the thread moving.
Analyst
Owns the questions. Decides what to ask, checks the numbers, and calls out what does not add up.
Writer
Turns the findings into the post, the PR description, or the pitch the judge reads first.
Reviewer
Reads everything cold before it goes out. If it does not make sense to them, it is not finished.
Teams are four to six people, formed around a track, not a job title. One person can drive Daimon while the rest argue about what to ask it. That argument is where the good entries come from.
The Build
Six steps, one tool, and the walkthroughs. Everything between picking a track and Daimon running.
- Steps
- Stack
- How-to
A clear pipeline from track to submission.
- 00Pick
Choose a track and form a team.
Join the hackathon channel on the Decision AI Discord, find your people, and say which track you are in.
- 01Set Up
Add Daimon to your server.
One click in Discord or Slack. Hackathon participants get $25 in credit. Running the open-source version on your own keys is fine too.
- 02Frame
Write down the question.
What are you trying to find out, publish, or fix? One paragraph before anything runs. It becomes your pitch.
- 03Build
Let Daimon do the work. Check it.
Ask it to explore, model, chart, or code. Read what comes back. Push on anything that looks too clean.
- 04Finish
Ship the artifact for your track.
A notebook with charts, a published post, or an open pull request. Not a plan for one.
- 05Pitch
Tell the judge what you found.
A short pitch, read before the work is opened. Say what you set out to do and what happened.
The thread is the record — Daimon works in one Discord or Slack conversation, so the whole team sees every step.
Tools that power every team.
Daimon lives in Discord and Slack. Scan the code or open the link to add it to your team's server.
DAIMON
Your fifth teammateData science agent from PyMC Labs. Writes and runs code, fits Bayesian models with PyMC, posts charts and runnable notebooks in the thread. Free to add. Hackathon participants get $25 in credit.
PYMC OPEN-SOURCE STACK
Optional · Special Prize- PyMC
Probabilistic reasoning + Bayesian modeling.
github.com/pymc-devs → - PyMC-Marketing
Media mix modeling + budget optimization.
github.com/pymc-labs/pymc-marketing → - Decision Hub
15,420+ validated agent skills. Chat with it to discover what's possible before writing your brief.
hub.decision.ai → - Daimon
Data science agent for Discord and Slack.
daimon.decision.ai → - Decision Lab
Harness for agentic data science.
github.com/pymc-labs/decision-lab →
Before you start building, ask Decision Hub what agent skills already exist — it may save you hours.
The Day
The timetable, the rules, and where to register.
- Schedule
- Rules
- Register
Timetable coming soon.
Date, venue, and the running order are being confirmed. Join the Discord to hear first.
Eight rules. No exceptions.
- R01
Daimon does the work. Use the managed version or run your own — either way the analysis and the code go through it.
- R02
Teams of 4–6. No solo submissions. One track per team, named in your submission.
- R03
Track 01 ships an analysis of the provided warehouse: findings, models, and charts.
- R04
Track 02 ships a published data post that links back to PyMC Labs. Public sources only — downloads, filings, open APIs. No scraping.
- R05
Track 03 ships a pull request to a PyMC library. Merged and pitched is a win.
- R06
Show your work. Every finding comes with the code and data that produced it.
- R07
One Devpost entry per team: track, repo or notebook, the post or PR link, and a written description.
- R08
Submit on Devpost by the deadline — no extensions.
Three steps to lock your spot.
- 02
REGISTER YOUR TEAM
Two registrations — Devpost for your submission, the form so prizes reach the right team.
Team verification form: Verify team ↗ - 03
JOIN THE DISCORD
Team formation, questions, and announcements happen in the hackathon channel on the Decision AI Discord. Add Daimon to your server while you are there.
The Prize
How the judging works, what teams take home, and everything else you asked.
- Judging
- Prizes
- FAQ
Five criteria. 25 points maximum.
- 01
It works
Ran on real data. Outputs aren't hardcoded.
5 PTS - 02
Daimon did the work
The analysis or the code came out of the Daimon thread, not just the write-up.
5 PTS - 03
Matches your question
Judged against the question you wrote down in Step 02.
5 PTS - 04
Someone can use it
A reader can follow the post, run the notebook, or review the PR cold.
5 PTS - 05
Explainable
Every finding has a visible reason a human can follow.
5 PTS
Minimum 15 points to qualify for finalist consideration. One judge scores every submission. Finalists present their work live.
Prizes to be announced.
The prize pool is being finalized and will be posted here once confirmed.
Everyone gets: $25 in Daimon credit, five times the standard install credit.
Track 03 has its own win condition: a pull request that gets merged into a PyMC library.
Common questions.
I'm not technical — can I compete?
Yes. Track 02 is built for it: find public data, ask Daimon the questions, write the post. Track 01 rewards people who know the business better than the code. Track 03 is the one for engineers.
Do I need my own API key?
No. Every participant gets $25 in Daimon credit, up from the usual $5. Prefer your own setup? The open-source Daimon runs on your own keys.
Can I scrape websites for Track 02?
Don't. Scrapers get IP-blocked mid-hackathon and take your afternoon with them. Use downloads, SEC filings, government datasets, and open APIs.
What must I submit?
Your Devpost entry must include: track selection, a GitHub repo or notebook link, the artifact for your track (charts, the published post, or the pull request), and a written description of what you set out to do and what you found. All items required — partial submissions are not accepted.
How is the winner picked?
Five criteria, five points each, 25 maximum. Minimum 15 to be considered. One judge scores every submission and the finalists present live.
Still have a question?
Ask in the hackathon channel on the Decision AI Discord. Registration is open on both Devpost and Partiful.