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 Deepak Yadav about Data Horizon, a seed-stage conversational analytics tool designed for Google Analytics 4. We discuss the project's vision to simplify data insights and explore its mission to transform how marketing professionals and agencies interact with web analytics. Data Horizon What does Data Horizon do? And why is now the time for it to exist? Conversational Analytics for GA4 and more. Now’s a good time for Data Horizon to exist because the complexity of GA4 has created a daily bottleneck for businesses and agencies, making intuitive, conversational data access a true market necessity. What is your traction to date? How many people does Data Horizon reach? TAM (Total Addressable Market): $25B Global Web Analytics Market. SAM (Serviceable Addressable Market): 30M+ Active Websites using Google Analytics 4, representing millions of businesses, marketers, and agencies who feel this pain daily. SOM (Serviceable Obtainable Market): $150M Annual Revenue by capturing just 0.5% of the English-speaking SMB and agency market in our first 3-4 years. Who does your Data Horizon serve? What’s exciting about your users and customers? Marketing Managers, Data Analyst, and Agency owners. What technologies were used in the making of Data Horizon? And why did you choose ones most essential to your techstack? Data Horizon leverages a modern custom technology stack that includes Directus, Nextjs, Google API, and AI. These specific tools were chosen because they provide a scalable foundation capable of securely interfacing with Google's complex data infrastructure while powering an intuitive, high-utility conversational interface for users. Data Horizon scored a 34 proof of usefulness score (https://proofofusefulness.com/report/data-horizon) Data Horizon scored a 34 proof of usefulness score (https://proofofusefulness.com/report/data-horizon) https://proofofusefulness.com/report/data-horizon What is traction to date for Data Horizon? Around the web, who’s been noticing? We are seed stage. As a concept-stage initiative focused on a high-utility problem, we are currently dedicating our efforts to product development to establish a verifiable public presence and build toward initial user adoption. 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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Data Horizon Earns a 34 Proof of Usefulness Score by Building Conversational Analytics for GA4

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