Welcome to the Proof of Usefulness Hackathon spotlight, curated by HackerNoon’s editors to showcase noteworthy tech solutions to real-world problems. Whether you’re a solopreneur, part of an early-stage startup, or a developer building something that truly matters, the Proof of Usefulness Hackathon is your chance to test your product’s utility, get featured on HackerNoon, and compete for $150k+ in prizes. Submit your project to get started! Welcome to the Proof of Usefulness Hackathon spotlight, curated by HackerNoon’s editors to showcase noteworthy tech solutions to real-world problems. Whether you’re a solopreneur, part of an early-stage startup, or a developer building something that truly matters, the Proof of Usefulness Hackathon is your chance to test your product’s utility, get featured on HackerNoon, and compete for $150k+ in prizes. Submit your project to get started! Proof of Usefulness Hackathon spotlight Proof of Usefulness Hackathon spotlight Proof of Usefulness Hackathon Proof of Usefulness Hackathon $150k+ Submit your project to get started Submit your project to get started In this interview, we speak with Daniel Emod Kovacs about Granary, an open-source CLI designed to orchestrate and coordinate multiple AI agents seamlessly. By providing session tracking, task orchestration, and structured handoffs, Granary solves the critical context-loss problem for complex AI development workflows. Granary What does Granary do? And why is now the time for it to exist? If you've run multiple AI agents on a real codebase, you know the pain: agents lose context between sessions, duplicate each other's work, or produce conflicting changes. There's no built-in way for them to coordinate. Granary is an open source CLI that fixes this with session tracking, task orchestration, concurrency-safe claiming, checkpointing, and structured handoffs between agents. Local-first, single Rust binary, works with any agent framework. Install it and run granary init. Now’s a good time for Granary to exist because multi-agent systems are rapidly gaining adoption, creating an urgent need for robust, local-first context persistence and orchestration tools. How many people does Granary reach? Granary is showing early traction, with an average of 260 daily views over the past week. The product also gained 84 upvotes on Product Hunt within a day of launch, alongside growing developer interest with 8 GitHub stars and 3 contributors in its first week. Who does your Granary serve? What’s exciting about your users and customers? Software engineers who use LLM coding tools on a daily basis for complex tasks. What technologies were used in the making of Granary? And why did you choose ones most essential to your tech stack? Granary is built using a robust, local-first stack primarily relying on Rust and SQLite. These technologies were carefully chosen to guarantee high performance, memory safety, and persistent local state management, ensuring that agent coordination remains swift and completely secure on the user's machine. What is the traction to date for Granary? Around the web, who’s been noticing? Granary has recently gained notable momentum, successfully launching on Product Hunt where it immediately caught the attention of developer tool enthusiasts and early adopters. Additionally, the project's open-source repository on GitHub is showing healthy early engagement and active contributions from the developer community. Granary scored an 88 proof of usefulness score (https://proofofusefulness.com/report/granary) Granary scored an 88 proof of usefulness score (https://proofofusefulness.com/report/granary) https://proofofusefulness.com/report/granary What excites you about Granary's potential usefulness? I'm a developer tooling expert. Seeing how humans and LLMs interact differently with command line tools excites me. I believe there's huge potential in building multi-modal tools that can become ubiquitous in this encroaching world of LLM-assisted software engineering. Meet our sponsors Meet our sponsors Meet our sponsors Bright Data: Bright Data is the leading web data infrastructure company, empowering over 20,000 organizations with ethical, scalable access to real-time public web information. From startups to industry leaders, we deliver the datasets that fuel AI innovation and real-world impact. Ready to unlock the web? Learn more at brightdata.com. Bright Data: Bright Data is the leading web data infrastructure company, empowering over 20,000 organizations with ethical, scalable access to real-time public web information. From startups to industry leaders, we deliver the datasets that fuel AI innovation and real-world impact. Ready to unlock the web? Learn more at brightdata.com. Bright Data: brightdata.com Neo4j: GraphRAG combines retrieval-augmented generation with graph-native context, allowing LLMs to reason over structured relationships instead of just documents. With Neo4j, you can build GraphRAG pipelines that connect your data and surface clearer insights. Learn more. Neo4j: GraphRAG combines retrieval-augmented generation with graph-native context, allowing LLMs to reason over structured relationships instead of just documents. With Neo4j, you can build GraphRAG pipelines that connect your data and surface clearer insights. Learn more. Neo4j: more Storyblok: Storyblok is a headless CMS built for developers who want clean architecture and full control. Structure your content once, connect it anywhere, and keep your front end truly independent. API-first. AI-ready. Framework-agnostic. Future-proof. Start for free. Storyblok: Storyblok is a headless CMS built for developers who want clean architecture and full control. Structure your content once, connect it anywhere, and keep your front end truly independent. API-first. AI-ready. Framework-agnostic. Future-proof. Start for free. Storyblok: Start for free . Algolia: Algolia provides a managed retrieval layer that lets developers quickly build web search and intelligent AI agents. Learn more. Algolia: Algolia provides a managed retrieval layer that lets developers quickly build web search and intelligent AI agents. Learn more. Algolia: Learn more

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Between Two Computer Monitors: This story includes an interview between the writer and guest/interviewee. 

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Nexio Earns a 43 Proof of Usefulness Score by Building Framework-Free UI Components

Granary Earns an 88 Proof of Usefulness Score by Building an Open Source CLI for AI Agent Orchestration

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