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Show HN: Newsplash – Personalized AI news digests without clickbait
Hi HN,
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