Playbook – July 8, 2026

An AI Hackathon in One Week

Tim Jamboula10 min read
Participants sit on beanbags in a bright room watching a screen while someone speaks from a table at the front.
YOYABA hackathon, 2026

The most common excuse against running a hackathon is the prep effort. That's only true if you plan it like a major program. With the right decisions, five working days are enough – here's the plan we actually use.

Day 1 – Collect use cases

No ideation workshop, no whiteboard covered in 200 sticky notes. One question to everyone: which task costs you time every week and annoys you? Three sentences, via a form, deadline that evening. You'll get 30 to 80 answers, and about 15 of them will be usable.

CriterionQuestionDisqualify if
FrequencyHow often does this happen?Less often than monthly
ClarityCan the process be written down?Nobody knows the current state
Data accessIs data available?Access needs three approvals
RiskWhat happens if it fails?Direct external impact without review
OwnershipWho wants it?Nobody volunteers
Scoring grid for submitted use cases

Day 2 – Form the teams

Three to five people per team, always mixed: someone who actually runs the process, someone with technical affinity, and someone with decision-making authority or a direct line to it. Teams drawn from a single department build single-department solutions.

The best signal for a good team is friction in the morning. Teams that agree instantly usually end up building the obvious thing.

Day 3 – Tools and access

Set up accounts, distribute credits, prepare test data. This day decides the event's success more than any content preparation, because time lost on the actual day can't be recovered.

  • Walk through every access path once with a real test user – don't just create the accounts.
  • Provide synthetic or anonymized datasets; arguing about real data on the day itself burns hours.
  • Define a fallback for every tool in case a service goes down.
  • Check Wi-Fi capacity. Yes, really.

Day 4 – Lock the choreography

The event day runs on a fixed rhythm. No open-ended working time – instead, blocks with hard transitions. The schedule is the actual teaching instrument.

TimeBlockOutcome
9:00Kickoff and tool introEveryone has built something once
10:00Team scopingOne sentence: what's done by tonight?
10:30Build IFirst working version
13:00Check-in with a coachScope cut in half
14:00Build IIWorking core flow
16:00Pitch prepThree minutes, live demo
17:00Demos and decisionsOwner and next step per project
Timing of a one-day format

Day 5 – Prepare the follow-up

Sounds paradoxical, but it's the difference between a nice day and actual change. Decide in advance what happens after the event: who decides on continued development, what budget is available, when the review meeting takes place. Without those three answers, every hackathon ends in applause followed by silence.

The five most expensive mistakes

  1. 01Allowing use cases that are too big – the 1 pm scope cut only partially saves the day.
  2. 02Planning to use real data without prior approval.
  3. 03Inviting leadership only to the demo instead of to the kickoff.
  4. 04Not enough coaches in the room: one team per coach is too few, five is too many.
  5. 05Not having a follow-up meeting on the calendar after the event.

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What other customers say

Voices from real Corporathons.

Verbatim excerpts from public LinkedIn posts by participants.

„24 hours in our office. Pizza everywhere. 5 teams racing to build something real with AI."

Marie Klamer

YOYABA · LinkedIn-Beitrag

„Turns out that's all it takes to go from "I should really learn AI" to actually shipping a working product. No coding experience needed."

Marie Klamer

YOYABA · LinkedIn-Beitrag

„By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own."

Okechukwu Ukaigwe

NavVis · LinkedIn-Beitrag

„You don't need months of preparation. Just a team, a bit of chaos, and the willingness to start."

Lisa Kral

YOYABA · LinkedIn-Beitrag

„24 hours in our office. Pizza everywhere. 5 teams racing to build something real with AI."

Marie Klamer

YOYABA · LinkedIn-Beitrag

„Turns out that's all it takes to go from "I should really learn AI" to actually shipping a working product. No coding experience needed."

Marie Klamer

YOYABA · LinkedIn-Beitrag

„By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own."

Okechukwu Ukaigwe

NavVis · LinkedIn-Beitrag

„You don't need months of preparation. Just a team, a bit of chaos, and the willingness to start."

Lisa Kral

YOYABA · LinkedIn-Beitrag

Voices from the hackathon

Hackathon posts on LinkedIn

Public posts by Tim Rath (Founder YOYABA) and participants from YOYABA and NavVis after the AI hackathons, in the original.

LinkedIn

Post by Tim Rath. It is loaded from LinkedIn when shown, which needs your consent to external content.

Tim Rath, Founder YOYABAOriginal on LinkedIn

LinkedIn

Post by Marie Klamer. It is loaded from LinkedIn when shown, which needs your consent to external content.

Marie Klamer, YOYABAOriginal on LinkedIn

LinkedIn

Post by Tim Rath. It is loaded from LinkedIn when shown, which needs your consent to external content.

Tim Rath, Founder YOYABAOriginal on LinkedIn