Backblaze Generative Media Hackathon: Build with Genblaze on B2

Overview

The Backblaze Generative Media Hackathon invites developers to create innovative AI media applications. The challenge focuses on building apps for AI-generated video, images, audio, and multimodal media workflows. Participants are required to integrate Backblaze B2 Cloud Storage for storing and serving large volumes of generated assets, metadata, provenance records, thumbnails, logs, and application files. Backblaze B2 offers S3-compatible cloud object storage, with 10GB of free storage to start. The hackathon also emphasizes the use of Genblaze, an open-source Python SDK developed by Backblaze. Genblaze facilitates the orchestration of generative media workflows across various providers such as GMI Cloud, OpenAI, Google, Decart, Runway, Luma, ElevenLabs, Stability Audio, and NVIDIA NIM. Projects should aim to be useful, creative, and production-minded, demonstrating how AI-generated media can transition from prompt to pipeline and be stored durably on Backblaze B2.

What to build

Build a generative AI media application that uses Backblaze B2 and Genblaze. Projects can include AI video generation or editing apps, image generation, remixing, or transformation tools, audio, music, or voice generation workflows, multimodal apps combining text, image, video, and audio, AI media libraries for storing, organizing, and searching generated assets, provenance-aware workflows, agentic media pipelines, and creator, marketing, education, entertainment, or developer tools. The project should solve a real user problem and demonstrate a path toward production, including reliable media generation, durable storage, clear workflows, and a usable experience.

Prizes

Key dates

• Submission DeadlineAug 3, 2026 @ 5:00pm EDT

Eligibility

Participants must be above the legal age of majority in their country of residence. All countries/territories are eligible, excluding standard exceptions.

How to enter

1. Create a Backblaze B2 account.
2. Create a B2 bucket for your generated media, metadata, and app assets.
3. Use the Genblaze SDK and star the Genblaze GitHub Repository.
4. Create a GMI Cloud account and submit the credits request form, if eligible (optional).
5. Build and submit your generative AI media app on Devpost before the deadline.

Submission requirements

• Working app: A functional app URL that judges can access and evaluate.
• GitHub repo: Public or private code repository with setup instructions. Private repositories must grant https://github.com/b2genblaze contributor access for review.
• Providers and models: A list of the AI providers and models used.
• B2 and Genblaze usage: An explanation of how your app uses both Backblaze B2 and Genblaze.
• Demo video: A short (~3-min) demo video that shows the project functioning.

Judging criteria

• Real-World Utility: Does the app solve a practical problem for a clear audience, and would that audience actually use it?
• Production Readiness: Does the app function reliably and support real-world workflows beyond a simple demo?
• B2 Storage and Data Orchestration: Does the app use Backblaze B2 meaningfully to store, organize, serve, or manage generated media, metadata, provenance, or app assets?
• Use of Genblaze: Does the app use Genblaze meaningfully to build, connect, or orchestrate generative media workflows across models, providers, or steps?

Sponsors & partners

Resources

• Full Rules
• Backblaze B2 Signup
• Genblaze GitHub Repository
• Genblaze GitHub Issues
• GMI Cloud account
• GMI Cloud credits request form