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Pathway

Company blog · pathway.com/blog · on HN as janchorowskiaidata

Pathway is the company blog at pathway.com, writing about ai and data. Since 2023, 7 different Hacker News readers have linked it 11 times. No feed was found, so read it on the site itself.

No feed foundVisit the blog
11mentions?
7HN people?
2023–2026first – last linked?
Links on Hacker News per year · peak 6 in 2024

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

HN readers mention Pathway as a Python framework for ETL and RAG on streaming data. The linked pages are product docs, such as one on persisting source data and computational graph state.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Frontier AI lab building architectures and models that autonomously reason, learn, and evolve.

The author on HN?

janchorowski · 238 karma · member since 2023

CTO @ pathway.com

From their public HN profile, which links to this site.

What Hacker News says?

  1. Reminds me of Pathway https://pathway.com/

    Comment linking /

    on “ArkFlow – High-performance Rust stream processing engine”
  2. Submitted Show HN: Build Live AI and RAG Pipelines in Minutes with YAML Templates as a story · 8 points

    HN discussion
  3. Nice, thanks! I was reading https://pathway.com/developers/user-guide/deployment/persist... . If I understand correctly you persist both source data and internal state, including the intermediary state of the computational graph. And you only rely on the backend to recover from failures and upgrades. So if I want to clone a Pathway instance, I don't need to reprocess all source data, I can recover the intermediary s…

    Comment linking /developers/user-guide/llm-xpack/vectorstore_pipeline

    on “Show HN: Pathway – Build Mission Critical ETL and RAG in Python (NATO, F1 Used)”
  4. Submitted Show HN: Adaptive RAG – How we cut LLM costs without sacrificing accuracy as a story · 8 points

    HN discussion
  5. Submitted Processing Kafka event streams in Python as a story · 6 points

    HN discussion
  6. Submitted Show HN: Private RAG with Mistral, Ollama and Pathway as a story · 5 points

    HN discussion
  7. Submitted Python ETL with Airbyte and Pathway as a story · 3 points

    HN discussion
  8. Submitted The Equations of Reasoning – Pathway AI as a story · 2 points

    HN discussion
  9. Submitted Live Plotting with Jupyter as a story · 2 points

    HN discussion
  10. Submitted Fastest data processing engine on the market – 2023 benchmarks as a story · 1 points

    HN discussion

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