About the challenge
OpenClaw Hack_001 is Vienna's first overnight agent hackathon: 24 hours of building where AI agents meet real-world problems. Three tracks, workshops, mentors, and no pitch decks. Just building.
Newcomers welcome. We run workshop tracks so everyone can contribute.
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Requirements
What to Build
01 — OPENCLAW & AGENTS: Build autonomous agents that do real work: multi-agent systems, tool-use pipelines, agentic workflows. Any framework, any model.
02 — CYBERSECURITY: Agents and tools that defend, detect, and respond. Red team automation, threat intelligence, secure AI pipelines.
03 — BIO & HEALTHCARE: AI meets life sciences. Clinical decision support, drug discovery, medical imaging, and bioinformatics workflows.
What to Submit
A demo video is required for all submissions. A GitHub link is also required for all software projects.
Prizes
Best Project overall
€1.000 + Direct interview to The Residency SF (May 2026) + 3 months Pro ElevenLabs
2nd place Overall
€750 + any tracks specific prizes
3rd place Overall
€250 + €500 OpenAI credits (through Maritime.sh) + ElevenLabs Pro (3 months)
Best in Bio and Healthcare
Best in Cyber-Security
€500 + €100(OpenAI Credits through Maritime.sh)
Best usecase of OpenClaw
€500 + €250(OpenAI Credits through Maritime.sh)
Best ElevenLabs project
3 months Scale plan FREE ($330/month)
Le Whimsy Microprizes
€125 for audacious and attractive projects
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Michael Dao
CEO, Kier Therapeutics
Alexi Lingad
CEO, KinoSec
Zoe Isabel Senón
Co-Founder, Primordia Grants
Arvind Minjur Anandakumar
CEO, Miruvor AI
Dr. Birgitta Olafsson
Prof. Cambridge University
Mojmír Horváth
Poth AI founder, YCombinator
Judging Criteria
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Innovation & Creativity
How novel, original, or inventive is the solution? Does it approach the problem in a surprising or non-obvious way? -
Real World Impact
Could this project meaningfully help real users or solve a real problem? Is the target audience clear and the value proposition compelling? -
Technical Implementation
Is the project well-built? Does the demo work? Is the architecture sound and the code quality reasonable for a hackathon? -
Relevance to Track
Does the project clearly fit its chosen track (Cybersecurity, Health/Bio, or AI Agents)? Does it leverage track-specific technologies or address track-specific challenges?
Questions? Email the hackathon manager
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