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Aurimas Griciūnas

Personal blog · newsletter.swirlai.comaidata

Aurimas Griciūnas writes SwirlAI Newsletter, a personal blog at newsletter.swirlai.com about ai and data. Since 2023, 4 different Hacker News readers have linked it 11 times, most often “Building Deep Research Agent from Scratch”. It is still writing: the last post was on 2026-06-14, and you can follow it by feed.

Visit the blog
11mentions?
4HN people?
2023–2026first – last linked?
Links on Hacker News per year · peak 4 in 2023

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

The only comment describes an open-source deep research agent design (outline generation, then per-section research) and does not discuss the blog itself, so the linked posts appear to concern AI agent architecture.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Learn about end-to-end Data Systems and stay up to date with what is happening in the Data World.

Most-linked posts?

  1. Building Deep Research Agent from Scratch
    2 people · 2 mentions · first linked 2025-03-11

What Hacker News says?

  1. In this project, the following Agentic topology is implemented: 1) A user provides a query or topic to be researched. 2) A large language model (LLM) generates an outline for the final report, limited to a specified number of paragraphs. 3) Each paragraph description is individually processed through a research phase to gather comprehensive information for report construction. (Details of this research phase are des…

    Comment linking /p/building-deep-research-agent-from

    on “Open Source Implementation Of Deep Research Agent”
  2. Submitted Building Deep Research Agent from Scratch as a story · 10 points

    HN discussion
  3. Submitted Stop Monitoring AI Systems Like Web Services as a story · 2 points

    HN discussion
  4. Submitted Agentic AI Flywheels as a story · 2 points

    HN discussion
  5. Submitted Feature Platforms in machine learning systems as a story · 2 points

    HN discussion
  6. Submitted State of Context Engineering in 2026 as a story · 1 points

    HN discussion
  7. Submitted Evaluation Driven Development for Agentic Systems as a story · 1 points

    HN discussion
  8. Submitted MCP vs. A2A: Friends or Foes? as a story · 1 points

    HN discussion
  9. Submitted Event Latency in Data Systems as a story · 1 points

    HN discussion
  10. Submitted Data Quality in Machine Learning Pipelines as a story · 1 points

    HN discussion
  11. Submitted Lambda vs. Kappa Architecture as a story · 1 points

    HN discussion

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