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Alternatives

Products that do what llmbytes does

Daily AI news, researched and written — not a scraped feed

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    Daily AI News tailored for your role

    23d ago · ai-bytes.vercel.app

  18. 18NA

    I got tired of reading clickbait articles and seeing irrelevant ads. So I pulled in a few RSS feeds to create a news digest using OpenAI 4o-mini for summarisation. Appreciate any feedback you'all might have. PS: News-summarisation may have been done to death, but I'm a UI noob, so I'm using this project to learn some.

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  19. 19

    Daily AI news in 3 minutes or less.

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    I was super annoy that all stock news site are filled with distracting Ads and interrupting paywalls. My JP Morgan analyst friend told me that JP spend millions internally to train an AI on news to help their traders filter noise. With the new LLM, we decided to make it better. Research also shows using AI analyze news at scale can outperform the market. Our AI will gather, summarize, and extract news insights for a particular stock. We are testing with a few trading firms in beta and the results were pretty good already. If you are interested, please comment "interested" I will give you…

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    Former investigative reporter turned developer. I built a simple breaking-news monitor because tracking events across platforms is a mess now that Twitter’s unreliable. Bluesky is the backbone (a fraction of twitter, but still lots of journalists and OSINT folks), plus RSS, Telegram, Reddit, YouTube and Mastodon. Everything is one chronological feed with no algorithm, clear source labels, and lightweight activity detection when a region spikes above baseline (frequency math, not LLMs). But we do have a (hopefully non-obtrusive) AI-generated recent/post summary. Been building for a…

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  24. 24AN

    A01 is a news reader where you define your own algorithm in plain English. For example, you can prompt it with: • "I want to follow recent AI startups and their first funding rounds.” • "I want updates on regulation changes and enforcement actions around stablecoins.” Every few hours, the backend fetches new articles, embeds them, and scores each one against your prompt. Only the most relevant pieces show up. No engagement metrics, trending bait, or “you might also like” filler. I built this because I every time I opened up Twitter or LinkedIn to stay informed on something, but always ended…

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