I’m the founder of Newsplash, a lightweight AI-powered news platform that delivers personalized, fact-based daily digests—no clickbait, no paywalled fluff.

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Why I built it:

I found myself spending too much time sifting through sensationalist headlines and repetitive stories across major aggregators. Newsplash is my attempt to solve that: a tool that gives users a fast, trustworthy summary of the news that matters most to them—without the noise.

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How it works: • ~500 articles pulled daily via NewsAPI • Deduplicated and cleaned with a readability parser • Summarized using GPT-4o (≈90–120 tokens per article) • Each user gets a unique daily digest based on topic preferences and feedback (likes/dislikes) • A built-in GPT chat tool allows users to ask contextual questions like: “Why does this matter for Nvidia’s stock?”

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Stack overview: • Edge Functions: Deno (Supabase) for fetch, deduplication, and summarization • Database: Supabase Postgres for articles, preferences, digests • Frontend: React + Next.js (web), React Native + Expo (iOS) • AI: GPT-4o mini for summarization + article Q&A • Reranking: Simple cosine similarity on user feedback vectors

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What’s live: • Web app with personalized digests • Feedback loop (like/dislike) that re-trains per user • Article-level AI Q&A • Free model

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Next up: • Expanding digest customization (custom categories, source filters, articles per category) • Premium/ subscription product

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I’d love your thoughts on: • Privacy/security best practices around everything. I don’t have a coding background so I have no idea • Ideas for building trust and transparency into AI summarization

Thanks for checking it out — Connor