Top all-time · #12584
Datology AI
Company blog · datologyai.com/blogaidata
Datology AI is the company blog at datologyai.com, writing about ai and data. Since 2024, 6 different Hacker News readers have linked it 15 times, most often “DataSmith: Automating Data Research to Beat Post-Train Bench”. No feed was found, so read it on the site itself.
Too few sampled comments (1) to say how often HN recommends it.?
Why HN links it
A commenter cites the post 'Eating the Rainbow: a primer' alongside papers on pre-training LLMs on LLM outputs and synthetic data. The post is about synthetic data for model training.
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.
Datology automatically curates model training data. Train faster, achieve better performance, and reduce costs with enterprise-grade data curation.
Most-linked posts?
- DataSmith: Automating Data Research to Beat Post-Train Bench2 people · 2 mentions · first linked 2026-08-18
- Deep-Dive into Building the Best Data Curation Engine for LLMs2 people · 2 mentions · first linked 2024-11-25
- DatologyAI – Making models better through better data, automatically2 people · 2 mentions · first linked 2024-02-22
What Hacker News says?
DatologyAI | Member of Technical Staff | Full-time | Onsite, Redwood City, California | https://www.datologyai.com/ At DatologyAI, we build tools to improve large-scale deep-learning models by selecting the right training data. We are automating data curation at petabyte scale, helping customers to train models faster, to better performance, and enabling smaller models to achieve performance competitive with much la…
Comment linking /post/introducing-datologyai-making-models-better-through-better-data-automatically
on “Ask HN: Who is hiring? (June 2024)”Submitted Image-Text Curation for 1B+ Data: Faster, Better, Smaller Clip Models as a story · 12 points
HN discussionLLMs can be pre-trained on LLM outputs, and there have been a few recent interesting implementations of this. - https://arxiv.org/abs/2609.37891 - https://arxiv.org/pdf/2508.10975 - https://www.datologyai.com/blog/eating-the-rainbow-a-primer-... As well as recent model releases that used large fractions of synthetic data (Arcee Trinity): - https://arxiv.org/pdf/2602.17004v1 It's mostly a matter of increasingly compl…
Comment linking /blog/eating-the-rainbow-a-primer-on-synthetic-data-for-non-researchers
on “Why do LLM pelicans look like this?”Submitted High-quality data is the best compute multiplier as a story · 10 points
HN discussionSubmitted Zephon: Fast, Flexible, Elastically Deterministic Data Loading as a story · 5 points
HN discussionSubmitted DatBench fixes VLM evals: 70% blindly solvable, 42% mislabeled, 35% prod gap as a story · 3 points
HN discussionSubmitted Luxical: Lexical-Dense Embeddings for Web-Scale Data Curation (3×–100× Faster) as a story · 3 points
HN discussionSubmitted Deep-Dive into Building the Best Data Curation Engine for LLMs as a story · 3 points
HN discussionSubmitted DatBench: Cut VLM eval compute by >10× while INCREASING signal as a story · 2 points
HN discussionSubmitted Models are what they eat: automatic data curation for LLMs as a story · 2 points
HN discussionSubmitted DataSmith: Automating Data Research as a story · 1 points
HN discussionSubmitted DataSmith: Automating Data Research to Beat Post-Train Bench as a story · 1 points
HN discussionSubmitted Insights from Multilingual Curation for a 20T-Token Dataset as a story · 1 points
HN discussionSubmitted DatologyAI – Making models better through better data, automatically as a story · 1 points
HN discussion