There is now additional documentation on the Teambuilder matching feature for hackathons on the #dribdat website: https://dribdat.cc/matching
Teambuilder | dribdat.cc

Many hackathons, whether remote or on-site, rely on "organic" formation of teams, where people just meet, connect, and agree to work together for more or less the duration of the event. However, many organizers look for more more methodical ways of matching people together. Some reasons to try to do this are:

Civic #Hackathons bring together administration, professionals and users to develop innovative solutions in a short time. Yet how effective these formats are depends crucially on how the teams are formed. How can #diversity be promoted with technical support? Our work funded by #Innosuisse and implemented in #Dribdat is featured in a (German language) edition of the BFH Social Work magazine #KnotenMaschen https://www.bfh.ch/soziale-arbeit/de/aktuell/blog-knoten-maschen/artikel/vielfalt-als-ressource-koennen-algorithmen-bessere-teams-bilden/
Vielfalt als Ressource: Können Algorithmen bessere Teams bilden?

Civic Hackathons bringen Verwaltung, Fachpersonen und Nutzende zusammen, um in kurzer Zeit innovative Lösungen zu entwickeln. Doch wie wirksam diese Formate sind, hängt entscheidend davon ab, wie die Teams gebildet werden. Wie lässt sich Vielfalt mit technischer Unterstützung fördern?

The Teambuilder, an automated recommendation engine that matches people to each other based on their skills and interest at hackathons, has been released with #DRIBDAT v0.9.4 https://codeberg.org/dribdat/dribdat/releases/tag/v0.9.4

With thanks to the #HackIntegration research team at BFH and the University of Zürich. Pull the Docker image and try it out!

v0.9.4 - dribdat/dribdat

In this version we share the initial work on the Teambuilder feature, which is an automated recommendation engine that matches people to each other based on their skills and interest. The bulk of the algorithm is a contribution from students of Prof. Dr. Marek Pycia at the University of Zürich, a...

Codeberg.org
Congratulations to all contributors and organizers of #HackdaysUri last weekend. Looking forward to hear more about your impact! In the meantime, I see your ideas cooking on #Dribdat

Pitch presentations on now at #Hack4SocialGood 2026, 10 teams supporting social workers, public services and charities.

Thanks to Otto Wirz Stiftung for sponsoring this year's prize! 🏆

(Screenshot: results live on #Dribdat with Prof. Maria Sokhn moderating)

More information on #Apertus can be found in the dedicated page on the hackathon platform #Dribdat #OpenSourceLLM https://bd.hack4socialgood.ch/project/143
Apertus

Fully Open Foundation Model for Sovereign AI. Developed by the Swiss AI Initiative as a collaborative effort between EPFL, ETH Zurich, and CSCS. Open weights, open data, open science.

Screenshot of a simple new leaderboard view, one of the updates in the 0.9.3 #dribdat release https://codeberg.org/dribdat/dribdat/releases/tag/v0.9.3

The Backboard in #Dribdat is finally available in a Vue 3 edition. It's taken me a while to get around to upgrade, as it needed a rewrite in several parts.

Source: https://codeberg.org/dribdat/backboard
Demo: https://backboard.vercel.app/?&headline=1&countdown=1&hexagons=1&previews=1&excerpts=1&challenges=1&dark=light&sort=default&src=https://meta.dribdat.cc/api/event/current/datapackage.json

Just (slightly) updated the homepage/docs for #Dribdat at https://dribdat.cc
Driven By Data | dribdat.cc

Please use our discussion forum or raise an issue . If you would like to improve the documentation, share feedback here , or contribute via Pull Request on GitHub. You can also use our Codeberg mirrors to do this.