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 a recent interview, we caught up with Simon Y. Blackwell, the creator behind Lightview, an AI-safe UI toolkit designed for seamless collaboration between large language models and humans. Lightview aims to solve the challenge of generating safe, sandboxed, and highly dynamic user interfaces without relying on vulnerable custom JavaScript. Lightview What does Lightview do? And why is now the time for it to exist? A reactive UI library and components inspired by Bau.js, HTMX, JurisJS, DaisyUI, and Chart.css. It also adds a no-custom JavaScript, sandboxed, safe computational DOM representation (cDOM) for LLM and human use, inspired by A2UI, JSON Pointers, XPath, and JSON Schema.  Lightview is the AI Safe UI toolkit built and documented 100% by and for LLMs to collaborate with humans to build both fixed and dynamically defined applications. Now’s a good time for Lightview to exist because developers are increasingly leveraging AI for coding, creating an urgent need for secure, sandboxed UI frameworks that allow LLMs to safely build dynamic interfaces without introducing malicious code vulnerabilities. Who does your Lightview serve? What’s exciting about your users and customers? Developers interested in using LLMs to generate custom fixed and or safe dynamic UIs in using a single consistent library. What technologies were used in the making of Lightview? And why did you choose the ones most essential to your tech stack? To build Lightview, Simon leveraged advanced LLMs including Claude Sonnet/Opus and Gemini Pro/Flash, alongside Google Antigravity. For the core web infrastructure, Vite and Cloudflare were selected as essential tools to ensure exceptionally fast builds and highly performant edge delivery. What is the traction to date for Lightview? As an open-source project that launched just three weeks ago, Lightview is still in its very early days. Concrete evidence of traction will become clearer as developers successfully adopt and incorporate the toolkit into their own production applications. Lightview scored a 49 proof of usefulness score (https://proofofusefulness.com/report/lightview) Lightview scored a 49 proof of usefulness score (https://proofofusefulness.com/report/lightview) https://proofofusefulness.com/report/lightview What excites you about this Lightview's potential usefulness? I am most excited about cDOM and its expression language JPRX (JSON Pointer Reactive Expressions), it's like Excel for the DOM. Because is it structured like JSON and based on industry standard syntaxes (JSON Pointers, XPath, JSON Schema) it is easy for LLMs to get safe, sandboxed UIs right .... and then move to full custom UIs if necessary with all the power of JavaScript but using the same UI model. I love the consistency and the flexibility. 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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Lightview Earns a 49 Proof of Usefulness Score by Building an AI-Safe UI Toolkit for LLM and Human Collaboration

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