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rickette
Joined 881 karma
Software engineer, Co-Founder @ https://mindloops.io

  1. Really? I'm daily driving JetBrains IDEs on Apple M3 and don't recognize any if this. Just give it a bunch of extra heap memory (eg 4g instead if 1gb) and it's fast!
  2. Well the docs say the old way (no Kafka) is on its way out:

    "However, this architecture is set to be deprecated in a future release."

    So it doesn't stay optional unfortunately. It quite a heavy dependency to include...

  3. Couple of years ago us-east was considered the least stable region here on HN due to its age. Is that still a thing?
  4. Adobe Flex with Adobe Catalyst. Design a GUI in Photoshop, export it to Flex/Flash to add interactivity.

    Looked cool during demos. Got killed when Flash died.

  5. Exactly, also requires authentication. How can this be 10/10?
  6. Only the higher/highest tier Google Workspace users can send these kind of emails. Anyone can read them.
  7. Only available for Google Workspace: Enterprise Plus with the Assured Controls add-on.
  8. There's a clear text password in one of your GitHub Action workflows: https://github.com/dbos-inc/dbos-transact-golang/blob/main/....
  9. JetBrains native AI assistant supports Ollama out of the box. No need for a 3rd party plugin anymore.

    See https://www.jetbrains.com/help/ai-assistant/use-custom-model...

  10. Shindig https://shindig.apache.org/ was the reference implementation of this spec. Was pretty novel at the time.
  11. Well to be fair: this doesn't happen very often. It's quite a stable service in my experience.
  12. GitHub Actions originally supported HCL (Hashicorp Configuration Language) instead of YAML. But the YAML force was too strong: https://github.blog/changelog/2019-09-17-github-actions-will....
  13. Thanks for the insight!
  14. Would that kind of data not compress like crazy? Or would they need to keep all that data hot and fast.
  15. Cool. Also https://github.com/deepseek-ai/3FS by DeepSeek which came out of High-Flyer a Chinese HFT firm.
  16. Over 500PB of data, wow. Would love to know how and why "statistical models that produce price forecasts for over 50,000 financial instruments worldwide" require that much storage.
  17. Radix Trees are (often?) used for this purpose, for example in Chi: https://github.com/go-chi/chi. Coincidentally FSTs and Radix trees share some similarities.

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