AI and Energy Efficiency Hackathon – 1 BTC to top team (SF, June 21)
We’re organizing a one-day hackathon in San Francisco on June 21 focused on a specific technical challenge: How can AI agents reduce energy waste in compute-heavy systems? The rapid growth of AI workloads is creating a serious mismatch between performance and power. MARA wants to explore solutions that fix this problem. This event is for engineers and builders who care about AI and energy. The hackathon is capped at 100 selected participants. The exact challenge will be revealed live on the day of the event. Prize: 1 bitcoin Location: San Francisco Focus: AI, compute, and energy Application:…
In plain words
MARA is hosting a one-day hackathon in San Francisco on June 21 for engineers and builders tackling energy efficiency in AI systems. The event addresses how AI agents can reduce power waste in compute-heavy workloads, with a specific technical challenge revealed on the day. Capped at 100 selected participants, the hackathon offers 1 bitcoin to the winning team. Participants apply through MARA's website and compete in a focused build environment centered on AI infrastructure, energy efficiency, and computational optimization.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We’re organizing a one-day hackathon in San Francisco on June 21 focused on a specific technical challenge: How can AI agents reduce energy waste in compute-heavy systems? The rapid growth of AI workloads is creating a serious mismatch between performance and power. MARA wants to explore solutions that fix this problem. This event is for engineers and builders who care about AI and energy. The hackathon is capped at 100 selected participants. The exact challenge will be revealed live on the day of the event. Prize: 1 bitcoin Location: San Francisco Focus: AI, compute, and energy Application: https://www.mara.com/hackathon-2025 This is not a pitch or a party. It’s a real build day for people serious about AI infrastructure. I’m happy to answer questions here and would love any feedback.
Does the same job
all alternatives →
Decentralize AI HackathonJun 2026 · decentralizeai.tech · ▲16A global hackathon for the open AI future
- CHCode.hackmit.org – Software for Hackathons2016 · code.hackmit.org · ▲140
- HCHackchain – Continuous Bitcoin-Inspired CTF Competition2016 · hackcha.in · ▲83
- IMI made open source, zero power PCB hackathon badgesApr 2026 · github.com · ▲158
I love getting cool swag from hackathons and I also love designing PCB's, so when my friend asked me if I would design hackathon badges for a large game jam in singapore, I was absolutely down! The theme of overglade was a "The game jam within a game", pretty cool concept right! High schoolers from around the world were flown out to the event by hackclub after they spent about 70 hours designing their own game. These badges needed to be really cheap and simple, because we were going to manufacture about a hundred in a pretty limited amount of time. I went with a zero-power approach, which…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2025
the whole month →
- C9
Life & fun · 2025 · felixrieseberg.github.io
