Complete AI Hackathon: Building Full-Stack AI Products with Collaborative Agents
Complete AI Hackathon: Building Full-Stack AI Products with Collaborative Agents
What does it take to build a complete AI product? Not just a single model or a chatbot wrapper, but a real, multi-agent system covering design, development, and deployment? That was the central question behind the Complete AI Hackathon, a one-week online event hosted by lablab.ai in partnership with Complete, running from February 23 to March 1, 2026.
342 participants, 73 teams, 34 submitted AI applications.
Events like this show what online AI hackathons can unlock: a focused, time-boxed environment where builders ship real AI products, not just demos.
About Complete
Complete is an AI-powered collaboration platform. Rather than isolated chats with individual models, Complete lets teams work with multiple AI agents in shared, contextual workspaces. Every conversation, file, and output lives in one place, creating a single source of truth across the entire product lifecycle.
By bringing multiple AI models and specialized agents into one environment, Complete lets teams move from idea to launch without losing context or coordination along the way. It's the kind of platform that makes building an entire AI product from scratch, within a week, actually feasible.
The Challenge
The hackathon brief was clear: use collaborative AI agents to build every aspect of your AI product. Participants weren't just asked to prototype a feature. They were challenged to think about the full picture of what it means to ship a real AI-powered application, from ideation and architecture to frontend, backend, and deployment.
Complete's platform served as the infrastructure, while teams brought the creativity, domain knowledge, and execution.
By the Numbers
- 342 enrolled participants
- 73 teams formed
- 34 AI applications submitted
- 63+ countries represented
- $3,500 in cash prizes distributed
- 3-month premium Complete.dev subscriptions awarded to the top 10 teams
Who Showed Up
By profession:
- Information Technology and Software Development: 90 participants
- Students: 81
- Startups and Entrepreneurship: 80
- AI and Machine Learning: 61
By experience level:
- Beginners: 42%
- Intermediate: 40%
- Advanced: 18%
By role:
- Product and Strategy: 97
- AI/ML Engineering: 91
- Developer Engineering: 59
Workshops and Resources
Complete's Senior Software Engineer Ramiro PiΓ±ol led a hands-on workshop titled "Create Your Product From Idea to Launch with Complete", walking participants through using collaborative AI agents to ship a real product from start to deployment.
Supporting resources included a dedicated tutorial on building a startup launch team using CompleteAI, showing how to coordinate three agents to manage a SaaS product from concept to release. A Complete technology page on lablab.ai gave participants quick access to platform documentation and examples.
The kick-off stream ran live on YouTube, and the winners ceremony brought together lablab.ai and Complete to close out the event.
The Winners
1st Place ($2,000): OnboardEase by Jabardast Jetha
OnboardEase tackled employee onboarding, one of the most resource-heavy processes in any software company. The team used collaborative AI agents to automate and personalize the onboarding journey, cutting the drain on HR while keeping the experience coherent. Judges recognized the clear business utility, solid technical execution, and how well the project used Complete's multi-agent workspace model.
2nd Place ($1,000): LARP Orchestrator by DetectConnect
LARP Orchestrator applied collaborative agent frameworks to live-action role-playing game management. AI agents orchestrated game events, managed narrative threads, and responded dynamically to player actions, showing that the same infrastructure used in enterprise workflows can power entirely new categories of creative, interactive experiences.
3rd Place ($500): Stylin by Isabel
Stylin brought collaborative AI into personal fashion and styling. Agents coordinated across wardrobe analysis, outfit recommendations, and trend awareness to deliver personalized style curation at scale.
Top 10: Complete AI Hackathon
All top 10 teams received a 3-month premium Complete.dev subscription:
| Project | Team | Description |
|---|---|---|
| Hoddy | SamDev | AI-powered product building assistant |
| CareerInk AI | Jobonauts | AI-powered IT career transition platform |
| Bulls AI | Shelf Aware | Store associate knowledge system powered by AI |
| Stylin | Isabel | Collaborative agents for personal fashion and styling |
| OnboardEase | Jabardast Jetha | Agent-driven employee onboarding automation |
| Prism | Avjo | Turns team chats into structured product work |
| GameForge AI | Agent Allies | AI-assisted game design and development |
| Vigil | Vigil-Autonomous Financial Risk Intelligence | Autonomous financial risk monitoring and intelligence |
| NaviGuide | NaviGuide | AI navigation assistant for Berry Mappemonde |
| LARP Orchestrator | DetectConnect | Agent-orchestrated LARP and corporate training experiences |
Special Mention: WeConectBuilders by Skray Technologies
The judges awarded a Special Mention to WeConectBuilders by Skray Technologies for a technically polished and well-developed product. The solution didn't incorporate AI agents, which was a core requirement, but the quality of execution was strong enough that the judging panel wanted to formally recognize the team's effort.
What Participants Said
The hackathon earned an overall rating of 4.4 out of 5. Participants highlighted the quality of organization, clear communication, and structured timelines. One response:
"Overall, the hackathon helped me improve my technical skills and gave me real experience building AI systems. It was a great learning opportunity and I would definitely participate again."
Participants also called out the organizers' decision to extend the submission deadline by 24 hours, giving teams under pressure extra time to refine their work.
Frequently Asked Questions
What was the Complete AI Hackathon about?
It was a one-week online AI hackathon hosted by lablab.ai where participants used collaborative AI agents to build complete, full-stack AI products from idea to deployment.
Who can join AI hackathons like this one?
Anyone. This event welcomed all experience levels: 42% of participants were beginners, 40% intermediate, and 18% advanced. No prior AI hackathon experience is required to participate.
What kinds of AI hackathon projects were built?
Teams worked across a wide range of domains including employee onboarding, personal styling, financial risk monitoring, game management, and career tools, all built with multi-agent AI workflows.
Are AI hackathons worth it for beginners?
Yes. Over 40% of participants in this event were beginners, and the event earned a 4.4 out of 5 satisfaction rating. AI hackathons provide hands-on experience building real products under time constraints, which accelerates learning quickly.
Where can I find upcoming AI hackathons?
lablab.ai runs global AI hackathons year-round across different tracks, technologies, and prize pools.
What This Event Signals
When builders have access to collaborative agent infrastructure, they stop thinking about isolated features and start thinking about complete systems. The projects from this hackathon, across HR, fashion, gaming, and finance, all reflect that shift.
The question is no longer "what can this model do?" It's "what can this group of agents accomplish together?"
