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Archives for 27 Jul 2024
  1. Plan 9 is a uniquely complete operating system
    (152 points | Comments)

  2. Lessons from Ancient File Systems
    (115 points | Comments)

  3. Intel N100 Radxa X4 First Thoughts
    (282 points | Comments)

  4. Apple has reached its first-ever union contract with store employees in Maryland
    (199 points | Comments)

  5. Roguecraft Devs on Developing for Amiga in 2024
    (168 points | Comments)

  6. Tritone Substitutions
    (220 points | Comments)

  7. Managarm: Pragmatic microkernel-based OS with asynchronous I/O
    (160 points | Comments)

  8. An Interview with Robert Caro and Kurt Vonnegut (1999)
    (107 points | Comments)

  9. Show HN: Semantic Grep – A Word2Vec-powered search tool
    (356 points | Comments)

  10. Aphex Twin gave us a peek inside a 90s classic (2017)
    (191 points | Comments)

  11. An experiment in UI density created with Svelte
    (882 points | Comments)

  12. The US fiscal mess: Some unpleasant fiscal simulations
    (141 points | Comments)

  13. Göttingen was one of the most productive centers of mathematics (2019)
    (273 points | Comments)

  14. The Scale of Life
    (101 points | Comments)

  15. Show HN: I built an open-source tool to make on-call suck less
    (319 points | Comments)

  16. Oscar Zariski was one of the founders of modern algebraic geometry
    (194 points | Comments)

  17. Sqlitefs: SQLite as a Filesystem
    (136 points | Comments)

  18. Learning about PCI-e: Driver and DMA
    (229 points | Comments)

  19. SQLite: 35% Faster Than the Filesystem
    (487 points | Comments)

  20. In the Beginning Was the Command Line (1999)
    (412 points | Comments)

  21. Bril: An Intermediate Language for Teaching Compilers
    (170 points | Comments)

  22. Taking a Radio Camping
    (139 points | Comments)

  23. Windows recovery environment and bootable USB creator in 200kb
    (195 points | Comments)

  24. The Linux Kernel Module Programming Guide
    (395 points | Comments)

  25. Linux Network Performance Ultimate Guide
    (196 points | Comments)

  26. Introduction to Machine Learning Interviews Book
    (151 points | Comments)