KBlip – turns AI/LLM news across 100 sources into daily digest threads

Name: KBlip – turns AI/LLM news across 100 sources into daily digest threads
Availability: InStock
Author: jonam21

by jonam21·Jul 27, 2026·2 points·2 comments

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AI Analysis

●●SolidShip ItSolve My Problem

Clusters duplicate AI news stories into single threads to cut through the hype cycle noise.

Strengths

•Clustering engine successfully merges coverage of the same story from Reddit, HN, and blogs.
•Audio brief mode uses TTS to read the daily digest for passive consumption.

Weaknesses

•Relies on generic LLM summarization which can sometimes miss technical nuance in model papers.
•No filtering by specific sub-topics like 'agents' or 'hardware' beyond the main categories.

Post Description

Hi HN, maker here.

KBlip watches Reddit, HN, arXiv, GitHub, YouTube, and ~100 RSS/blog feeds for anything AI-related, clusters same-story coverage into a single "thread" (every source linked as evidence), and sorts it into 5 feeds: Releases, News, Social, Developments (research + hardware), Products/Ideas, and Trending.

My daily routine to catch-up on the current happenings related to AI/LLM takes a big chunk of my time and I had to do multiple hops between different products and even worse sometimes I find myself lost in a rabbit hole in any of those products. Wanted to have better visibility and have everything aggregated in one place that takes less time and effort just to catch-up which also cuts off the noise/redundancy.

A few things to highlight: a daily digest per section (one-sentence TL;DR), an audio "brief me" mode if you'd rather listen than read, and it installs as a PWA.

Solo project, self-hosted on a VPS, DeepSeek + Voyage for the LLM/embedding side. No accounts, no ads, no tracking.