Week 1 of our five Hacktoberfest DEV Challenges starts today! Running through October 11, the Hacktoberfest Open-Source AI Challenge: Week 1 gives you a full week to build.
**This year's Hacktoberfest is all about building brand-new projects with open-source AI and open-weight models. Here's everything you need to know about Hacktoberfest 2026.
Missed the Hacktoberfest Weekend Challenge? No problem. Every challenge is a fresh start, so you're competing on the same footing as everyone else.
This week, we'll select one overall winner and a winner in each of our 16 partner categories. See all five challenges and every partner category on the HF26 DEV Challenge Hub.
Let's get to it!
Prize Categories
Alongside our overall winner, we have 16 prize categories for projects that use a specific partner's technology. You don't need to use any of these to win the overall prize, but if you've been curious about any of this tech, this is a great excuse to give one a try. Full descriptions are on the hub.
Featured categories:
- Best Use of Render
- Best Use of TabPFN
- Best Use of Tinker
- Best Use of Arduino
- Best Use of DigitalOcean
- Best Use of Gemma
Partner categories:
- Best Use of Backboard
- Best Use of ElevenLabs
- Best Use of Entire
- Best Use of GitHub Copilot
- Best Use of Mastra
- Best Use of MongoDB Atlas
- Best Use of Sentry Agent Tracing
- Best Use of SerpApi
- Best Use of Temporal
- Best Use of Tiger Data
Pro Tip: Partner category winners come from a smaller pool of submissions, so your odds are meaningfully higher.
Note: One project can enter every category it genuinely uses, but you can only win once per challenge, and we'll aim to celebrate as many different builders as possible across the month.
Free credits: several partners are giving participants credits and promo codes, including Tinker, Render, Backboard, and ElevenLabs. Claim yours at hacktoberfest.com/my.
A huge thank you to our partners for making these prizes possible!
Judging Criteria
This is DEV, so your write-up matters most.
- Writing Quality (weighted most heavily): Is the post clear and engaging? Does it explain what you built, who it's for, and why open innovation matters?
- Relevance to the Prompt and Theme: Is open-source AI or open-weight models at the core of the project? Does it get people off the screen and into the world?
- Creativity: Is it an original idea, or a fresh take on a familiar problem?
- Technical Execution: Does it work, and is it well built?
- Use of Partner Technology (optional): If you're entering a partner category, does the project use that technology in a meaningful way?
Show your work. We'd love to see how you built it. Save your agent session with DevRelay and embed it in your post, or link to it. It's optional, but it helps the judges understand your process.
Prizes
- Overall winner (1): $250 USD, a DEV++ membership, and an exclusive DEV badge
- Featured category winners (6): $200 USD and an exclusive DEV badge each
- Partner category winners (10): $100 USD and an exclusive DEV badge each
All participants with a valid submission will receive a completion badge.
Need Help?
- New to Hacktoberfest this year? Start with Everything You Need To Know About Hacktoberfest 2026.
- Come hang out and ask questions in the MLH Discord.
- The challenge page has resources from our partners to help you get started.
Important Dates
- October 5: Hacktoberfest Open-Source AI Challenge: Week 1 begins!
- October 11: Submissions due at 11:59 PM PDT
- Week of October 12: Winners announced
Week 2 launches Monday, October 12 with a brand-new theme. Follow #hf26challenge so you don't miss the reveal.
Questions about the challenge? Drop them in the comments below.
Happy Hacktoberfest, and good luck!
Top comments (43)
First benefit of this Hackathon, I used Kaggle and its free GPUs in a brand new way, will make me more productive in my next projects
Excited!
Hope u all like this
Sanity Challenge Path One Submission
I built an adjudication desk for data that contradicts itself (Both Sides)
Focusing this year's Hacktoberfest entirely on open-weight models and open-source AI is a massive win for the dev ecosystem. Building apps that interface with the physical world while keeping the data layer local and private is exactly where tech needs to go. Sticking a LLM framework into outdoor logistics or hardware sensors sounds like an elite challenge. Let's get to it!
The focus on AI-related open-source contributions for this Hacktoberfest challenge is a smart move, especially since the barrier to entry for high-quality AI tooling has shifted so much recently. One thing to watch out for when contributing to AI repos is the documentation. A lot of these projects have incredible core logic but struggle with explaining how to actually interface with their models or handle specific edge cases in the API responses. If you're looking to stand out, focusing on improving the integration guides or adding comprehensive unit tests for model outputs can often be more valuable to maintainers than just adding new features.
Heavy agree on this, shieldx. Developer Experience (DX) in the current AI open-source ecosystem is honestly pretty rough. A lot of maintainers are brilliant researchers but they ship projects without clear integration vectors. Writing solid docs or fixing flaky API error-handling is a massive force multiplier for the project. Plus, it’s a much faster way to get your PR merged than trying to refactor their core logic.
This is awesome. Open-weight models are changing the game, and Hacktoberfest is the perfect excuse to hack on them. Good luck to everyone competing in Week 1! 🚀
Excited !!
interesting🤑
Interesting
Less goo ! New Challenge accepted :)
😁
Some comments may only be visible to logged-in visitors. Sign in to view all comments.