LumiPost

What it does

LumiPost aggregates, filters and AI-scores news from your sector. Save hours of monitoring every week. For journalists and content creators.

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  News Monitoring2020 · ▲117

  Get more press by monitoring articles with filters & alerts

• RT
  Real-time AI news aggregator with daily digest3d ago · aibriefs.news · ▲13
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  llmbytes10d ago · play.google.com · ▲2

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

• NP
  News Pulse – Real-time global news feed, 475 sources, no algorithmFeb 2026 · news-alert-eta.vercel.app · ▲9

  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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  3mins.newsFeb 2026 · ▲4

  7 stories. 3 minutes. You're done.

• TN
  The news in the last 30, 14, 7, 3, or 1 days2025 · ubershmekel.github.io · ▲16

  I made this for when I come back from vacation and want to catch up on news. It's a bit of a simplistic LLM transformation on headlines and URLs that I store from RSS feeds. So it bugs out sometimes. But I think it might be useful to me. You can check out some of the prompts in the "debug" links. What do you think?

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• NW
  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

• FM
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