datashanks.com exists to help curious people stay informed without spending hours hunting across dozens of publications. We cover technology, AI, cloud, data engineering, business strategy, gaming, and anime — and we publish every day.

We don't chase engagement bait or clickable outrage. Every article is a genuine attempt to synthesise what's happening across a topic, explain why it matters, and present multiple perspectives in a single readable briefing.

Our Mission

We believe good information synthesis has value. There are hundreds of excellent publications covering technology and culture, but very few tools that pull the signal out of the noise across all of them simultaneously. datashanks.com is our attempt to do exactly that — daily, across the topics that matter to builders, gamers, and enthusiasts.

How Our Content Is Created

datashanks.com uses AI-assisted synthesis. Our publishing pipeline works like this:

  1. Source aggregation: Each day, our pipeline pulls headlines, summaries, and metadata from over 100 public RSS feeds and APIs — including Hacker News, dev.to, TechCrunch, Ars Technica, Anime News Network, IGN, and official company blogs. We collect headline text and summaries only; we do not scrape full article bodies from other publications.
  2. AI synthesis: A locally-running large language model receives a batch of topic-related headlines and summaries and generates an original long-form article. The model is instructed to analyse, compare, and explain — not to reproduce — the source material.
  3. Editorial review: Generated articles are reviewed for structure, factual coherence, and quality before publication. Articles that fail quality checks are discarded or regenerated.
  4. Publication: Approved articles are published with full source attribution. Every article lists the sources that informed it.

The result is original long-form analysis — typically 1,500 to 4,000 words — that synthesises what multiple credible sources are saying about a topic, with editorial framing and original perspective.

What we are: An AI-assisted editorial publication that synthesises and analyses public news coverage.
What we are not: Original reporters, investigators, or claimants of any scoop. Everything we publish is informed by and attributed to existing public sources.

Editorial Standards

  • Source transparency: Every article links to the sources that informed it. We do not publish unsourced claims.
  • No plagiarism: We synthesise from headlines and summaries only. We do not reproduce full articles. Our writing is original.
  • AI disclosure: All content on this site is AI-assisted. We do not misrepresent articles as being written by a human journalist.
  • Corrections: We correct factual errors. If you spot an error, contact us and we'll review it promptly.
  • No pay-to-play: Editorial coverage is not for sale. Advertising and sponsored placements are clearly labelled and kept separate from editorial content.
  • Affiliate links: Some articles contain Amazon Associates affiliate links. These are clearly disclosed in each article. Affiliate relationships do not influence editorial selection or framing.

Sources We Cover

Our pipeline draws from a curated list of over 100 reputable public sources, including:

  • Technology & Development: Hacker News, dev.to, Lobsters, The Verge, Ars Technica, TechCrunch, Stack Overflow, GitHub Trending, Mozilla Hacks, AWS Blog, Azure Blog, Simon Willison's blog
  • Business & Industry: 9to5Mac, MacRumors, Apple Insider, Tom's Hardware, IBM Research Blog
  • Gaming: IGN, Kotaku, PC Gamer, Eurogamer, Rock Paper Shotgun, GameSpot, Polygon, VGC
  • Anime & Manga: Anime News Network, Crunchyroll News, MyAnimeList, Anime Corner

We regularly review and update our source list. Sources are selected for editorial quality, domain relevance, and public accessibility.

Publishing Cadence

We publish new articles daily. Our pipeline runs once per day and generates articles for each topic area based on what has been published by our source feeds in the previous 24–48 hours. Not every topic generates an article every day — we only publish when there is enough substantive new material to synthesise meaningfully.

Contact Us

For editorial corrections, general enquiries, or advertising information, visit our contact page.

You can also reach us directly:

For advertising and partnership opportunities, see our advertise page.