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Han Xiao

Personal blog · hanxiao.ioaiprogramming

Han Xiao's personal blog at hanxiao.io covers ai and programming. Since 2019, 5 different Hacker News readers have linked it 17 times, most often “Search every file on your Mac by meaning – all Locally”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
17mentions?
5HN people?
2019–2026first – last linked?
Links on Hacker News per year · peak 10 in 2020

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

Why HN links it

Linked for technical neural search writing, including a 2018 post on cross-lingual end-to-end search that one commenter calls excellent. The commenter also finds the blog's other posts interesting.

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.

VP of AI at Elastic. Founder and former CEO of Jina AI. Creator of Fashion-MNIST.

Most-linked posts?

  1. Search every file on your Mac by meaning – all Locally
    2 people · 2 mentions · first linked 2026-06-05
  2. Video Semantic Search in Large Scale Using GNES and Tensorflow 2.0
    2 people · 2 mentions · first linked 2019-11-23
  3. /2018/01/10/Build-Cross-Lingual-End-to-End-Product-Search-using-Tensorflow/
    2 people · 2 mentions · first linked 2020-06-19

What Hacker News says?

  1. That article is very basic and fluffy, but the more technical article that it is based on and links to is excellent, so thanks for (indirectly) pointing to it: https://hanxiao.io/2018/01/10/Build-Cross-Lingual-End-to-End... The other stuff on that guy's (Han Xiao's) blog also looks interesting. I think this neural search stuff explains why we're all getting such low-precision results on Google/DDG by the standards w…

    Comment linking /2018/01/10/Build-Cross-Lingual-End-to-End-Product-Search-using-Tensorflow/

    on “Neural Search for medium sized corpora”
  2. Submitted A Better Practice for Managing Many Extras_require Dependencies in Python as a story · 28 points

    HN discussion
  3. and for those who are curious about Jina's ancestor GNES: https://hanxiao.io/2019/07/29/Generic-Neural-Elastic-Search-...

    Comment linking /2019/07/29/Generic-Neural-Elastic-Search-From-bert-as-service-and-Go-Way-Beyond/

    on “A lightweight, customizable omnibox in JavaScript”
  4. Submitted Layer of Abstraction When Building “TensorFlow” for Search as a story · 3 points

    HN discussion
  5. Jina and ES have different focus. Unlike the symbolic search engine, Jina aims more on the multi/cross-modality search backed by DNN. This blog post explains the difference between this two: https://hanxiao.io/2018/01/10/Build-Cross-Lingual-End-to-End...

    Comment linking /2018/01/10/Build-Cross-Lingual-End-to-End-Product-Search-using-Tensorflow/

    on “A lightweight, customizable omnibox in JavaScript”
  6. Submitted Search every file on your Mac by meaning – all Locally as a story · 2 points

    HN discussion
  7. Submitted Primitive Data Types in Neural Search System as a story · 2 points

    HN discussion
  8. Submitted Benchmark a Decentralized Search System on 79 Past Releases as a story · 2 points

    HN discussion
  9. Submitted From Then to Now: A Curated List of Neural Search and Jina as a story · 2 points

    HN discussion
  10. Submitted Numpy Tricks and a Strong Baseline for Vector Index as a story · 2 points

    HN discussion
  11. Submitted Show HN: Omni – Local-first multimodal file search on macOS as a story · 1 points

    HN discussion
  12. Submitted 5x Speedup on CICD via GitHub Action's Strategy.Matrix as a story · 1 points

    HN discussion
  13. Submitted Mindspore-Powered Image Search in Jina as a story · 1 points

    HN discussion
  14. Submitted Evaluating a Search System in Jina v0.7 as a story · 1 points

    HN discussion
  15. Submitted New Features in Jina v0.5 You Should Know About as a story · 1 points

    HN discussion
  16. Submitted Video Semantic Search in Large Scale as a story · 1 points

    HN discussion
  17. Submitted Video Semantic Search in Large Scale Using GNES and Tensorflow 2.0 as a story · 1 points

    HN discussion

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