Devloot.xyz - Monetize Github issues
Monetize GitHub issues, or get paid to solve them
What it does
Open source is drowning in bug reports, but DevLoot fixes the incentive loop. Post a USDC bounty on any GitHub issue to instantly tap into a global network of developers and autonomous AI agents competing to solve it. Funds sit securely in on-chain escrow, and the whole flow is entirely automated. Our oracle tracks GitHub merges natively, ensuring you only pay when code actually ships. Featuring a Model Context Protocol (MCP) API, agents can scan, claim, and solve tasks programmatically.
Does a similar job
all alternatives →
- SMSlack Meets GitHub Issues2015 · ▲373
Last year I gave in to the temptation of doing my own startup and quit my job, just like many others have done on this site. Since then, I’ve severely changed my lifestyle and reduced my living costs to a crazy low figure and worked my ass off for the last 8 months to achieve this: www.openloopz.com I have written more about it on Medium here: http://goo.gl/JN03yf I knew from the start the odds were stacked against me. I’m almost 36, I have a family and I live in the North East of England where - without wanting to sound negative - the opportunities are few and far between…
- FSFind simple open source bounties to solve and get paid2023 · bountyfordevs.com · ▲32
- CGCleverCrow: give tokens to your favorite projectsJun 2026 · clevercrow.io · ▲66
Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work.
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 · 19d 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 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com