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_peregrine_

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  1. 1 points 0
  2. A graph-theoretic approach to building reliable LLM judges for retrieval (georgianailab.substack.com)
    3 points 0
  3. 1 points 0
  4. Mixing numeric attributes into text search for better first-stage relevance (turbopuffer.com)
    3 points 0
  5. How to build a distributed queue in a single JSON file on object storage (turbopuffer.com)
    2 points 0
  6. ANN v3: 200ms p99 query latency over 100B vectors (turbopuffer.com)
    109 points 13
  7. Designing inverted indexes in a KV-store on object storage (turbopuffer.com)
    3 points 0
  8. Why BM25 queries with more terms can be faster (and other scaling surprises) (turbopuffer.com)
    53 points 1
  9. Vectorized MAXSCORE over WAND, especially for long LLM-generated queries (turbopuffer.com)
    2 points 0
  10. Flink's 95% Problem (tinybird.co)
    2 points 0
  11. How to ingest 1B rows/s in ClickHouse (tinybird.co)
    32 points 6
  12. How we built our own Claude Code (for data) (tinybird.co)
    3 points 0
  13. Show HN: Click the Circle (tb-peregrine.github.io)
    2 points 0
  14. Tinybird made a ClickHouse CLI agent (tinybird.co)
    1 points 1
  15. Why LLMs Struggle with Analytics (tinybird.co)
    1 points 0
  16. Claude Opus 4 is the best model at SQL generation (llm-benchmark.tinybird.live)
    2 points 3
  17. We graded 19 LLMs on SQL. You graded us (tinybird.co)
    4 points 0
  18. Lessons learned from 5 years operating ClickHouse clusters: Part II (tinybird.co)
    2 points 0
  19. Run Tinybird on your own infra (for free) (tinybird.co)
    1 points 1
  20. Tinybird Forward Hackathon (github.com)
    1 points 2
  21. Forward: Evolving Tinybird for the AI-native developer (tinybird.co)
    1 points 0
  22. Real-time logs analytics architectures that scale (tinybird.co)
    1 points 0
  23. Analyzing the Dub.co Analytics Playbook (tinybird.co)
    1 points 0
  24. AI Engineer Starter Pack – Volume 2 (aiengineerpack.com)
    2 points 0
  25. How to analyze MCP server usage (tinybird.co)
    3 points 2