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Eventual

Company blog · blog.getdaft.iodataprogrammingai

Eventual is the company blog at blog.getdaft.io, writing about data, programming and ai. Since 2023, 4 different Hacker News readers have linked it 7 times, most often “Daft 0.2: 10x faster IO from S3”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
7mentions?
4HN people?
2023–2025first – last linked?
Links on Hacker News per year · peak 4 in 2023

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

Why HN links it

Cited in a HN thread on the Daft distributed DataFrame library as a source on optimising cloud storage reads for faster I/O. The linked post covers Daft 0.2's I/O performance work.

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.

Eventual writes about data curation for Physical AI, and about Daft, our open-source data engine.

Most-linked posts?

  1. Daft 0.2: 10x faster IO from S3
    2 people · 2 mentions · first linked 2023-12-13
  2. Daft: A High-Performance Distributed Dataframe Library for Multimodal Data
    2 people · 2 mentions · first linked 2023-06-06

What Hacker News says?

  1. Hello, Daft developer here! The network indeed becomes the bottleneck. In 2 main ways: 1. Reading data from cloud storage is very expensive. Here’s a blogpost where we talk about some of the optimizations we’ve done in that area: https://blog.getdaft.io/p/announcing-daft-02-10x-faster-io 2. During a global shuffle stage (e.g. sorts, joins, aggregations) network transfer of data between nodes becomes the bottleneck.…

    Comment linking /p/announcing-daft-02-10x-faster-io

    on “Daft: Distributed DataFrame for Python”
  2. Submitted DeepSeek smallpond, 3FS and data processing for AI as a story · 10 points

    HN discussion
  3. Submitted Daft: A High-Performance Distributed Dataframe Library for Multimodal Data as a story · 8 points

    HN discussion
  4. Submitted Adversarial file reading: from 10k small CSVs to Parquet files as a story · 7 points

    HN discussion
  5. Submitted Daft: A High-Performance Distributed Dataframe Library for Multimodal Data as a story · 2 points

    HN discussion
  6. Submitted Daft 0.2: 10x faster IO from S3 as a story · 1 points

    HN discussion
  7. Submitted Working with the Apache Parquet file format as a story · 1 points

    HN discussion

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