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The Common News has reached 800 cities representing more than 72 million people, with coverage expected to reach 1,000 cities by the end of the week.
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Why I built CoFinder, the problem I saw with existing cofounder discovery, and why I think founder matching should focus on signal, intent, and actual compatibility instead of volume.
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Why local government information is so difficult to organize well, and what I have learned from turning messy agendas, meetings, committees, and local issues into usable product surfaces at The Common News.
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What changed as The Common News expanded to 100 cities serving nearly 42 million people: data quality, city-by-city variation, entity structure, publishing systems, and what scale actually means in local civic information.
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How I think about the core data model behind The Common News: municipalities, meetings, agendas, summaries, entities, and the relationships that turn messy civic documents into structured product surfaces.
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Why local government content rarely wins through broad keywords alone, and how entity-rich civic pages, geographic specificity, and structured publishing make long-tail search the real opportunity.
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How I approach trust at The Common News: source grounding, scoped summarization, human-readable structure, and product decisions designed to make AI-generated civic coverage more reliable.
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A breakdown of the SEO system I built for The Common News: canonical summary URLs, structured metadata, entity-driven local relevance, server-rendered civic content, and municipality-level internal linking.
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A practical build log of creating a public-facing RAG app over large municipal budget PDFs, with source citations, embedded document viewing, quality tuning, and production deployment.
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Why I built The Common News, the problem we saw with local government information delivery, and how we are making civic updates easier to follow.