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A newer version of the Gradio SDK is available: 6.19.0
Build Small Hackathon
Source: https://huggingface.co/build-small-hackathon
Basic Details
- Host: Gradio & Hugging Face
- Registration: May 7 β June 3, 2026 (CLOSED)
- Hack Window: June 5β15, 2026 (ACTIVE)
- Submission Deadline: June 15, 2026
Theme
Build AI applications using small models (β€32B parameters) to solve real problems or create delightful experiences. Emphasis on "thinking small" rather than building large-scale B2B SaaS.
Tracks
Track 1: Backyard AI
Solve a real problem for someone you know (neighbor, parent, small-business owner). The person must actually use it.
Judging:
- Problem is specific and real
- Person actually used it
- Honest fit between problem and small-model constraint
- Polish of the Gradio app
Prizes: 1st $4K, 2nd $2.5K, 3rd $1.5K, 4th $1K
Track 2: Thousand Token Wood
Build something delightful that wouldn't exist without AI β toys, games, interactive stories, art experiments. AI must be load-bearing.
Judging:
- Genuinely delightful
- AI is essential (not just a helper)
- Originality of concept
- Polish of the Gradio app
Prizes: 1st $4K, 2nd $2.5K, 3rd $1.5K, 4th $1K
Core Constraints
- Small Models Only β max 32B parameters; must fit on a laptop
- Built on Gradio β Gradio app hosted as a Hugging Face Space
- Show, Don't Tell β working app + demo video + social media post
Bonus Quests (Merit Badges)
| Badge | Name | Requirement |
|---|---|---|
| π | Off the Grid | No cloud APIs; everything runs locally |
| π― | Well-Tuned | Uses a fine-tuned model published on HF |
| π¨ | Off-Brand | Custom frontend beyond default Gradio (gr.Server) |
| π¦ | Llama Champion | Model runs through llama.cpp runtime |
| π‘ | Sharing is Caring | Published agent trace on the Hub |
| π | Field Notes | Blog post/report about what you built |
Prize Pool ($48,000+)
Main Awards ($18,000)
- Backyard AI: $4K / $2.5K / $1.5K / $1K
- Thousand Token Wood: $4K / $2.5K / $1.5K / $1K
- Community Choice (Hugging Face): $2,000
Sponsor Awards ($22,000+)
- OpenBMB ($10K total): $2.5K / $1.5K / $1K per track (6 awards)
- OpenAI Track ($10K): $5K / $3K / $2K
- NVIDIA Nemotron Quest: 2Γ RTX 5080 GPUs
- Modal ($20K credits): $10K / $7K / $3K in credits
Special Awards ($8,000)
- ποΈ Bonus Quest Champion (most badges): $2,000
- π¨ Off-Brand Award (best custom UI): $1,500
- π Tiny Titan (best app β€4B params): $1,500
- π¬ Best Demo: $1,000
- π€ Best Agent: $1,000
- π Judges' Wildcard: $1,000
Per-Participant Credits
- Hugging Face: $20 credits
- Modal: $250 credits
- OpenAI Codex: $100 credits (first 1,000 participants)
Sponsors
Hosts: Gradio, Hugging Face
Anchor Sponsors: OpenBMB, OpenAI, NVIDIA, Modal
Supporting Sponsors:
- Cohere ($5,000 cash)
- JetBrains ($5,000 cash)
- Black Forest Labs ($3,000 cash)
How to Participate
- Register (CLOSED June 3, 2026)
- Find your people β Gradio Discord: https://discord.gg/YHECTft87Z
- Build & ship β Gradio app hosted as a Space under the
build-small-hackathonorg - Submit β Space link, demo video, social post by June 15, 2026
Timeline
| Date | Milestone |
|---|---|
| May 7 β Jun 3, 2026 | Registration (closed) |
| Jun 5, 2026 | Hack window begins |
| Mid-window | Live AMA with sponsors |
| Jun 15, 2026 | Submissions close |
| TBD | Winners announced |
Resources
- Gradio Docs
- Gradio Quickstart
- Gradio gr.Server (Custom UIs)
- llama.cpp
- ML Intern Guide
- Hackathon Org
- Discord
Community Stats (at time of fetch)
- 1,950 registered participants
- 199 active Spaces
- 22 custom models published
- 17 datasets shared
- 4 curated collections
Example Submissions
- Jawbreaker β Local-first scam defense (MiniCPM5-1B LoRA)
- Pakistan Notice Helper β Safety tool for notices (Urdu/English)
- Room360 β Video-to-3D spatial reconstruction
- Bedtime Story Machine β Story generation
- Resume Bullet Improver β Career document enhancement
- AI Study Buddy β Learning companion
Key Notes
- Model size cap: 32B parameters (hard limit)
- Gradio is mandatory; Hugging Face Spaces required for hosting
- Submission = app + demo video + social post
- Community Choice award is voting-based