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30k IKEA items in flat text

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OP here.I took the unofficial IKEA US dataset (originally scraped by jeffreyszhou) and converted all 30,511 products into a flat, markdown-like protocol called CommerceTXT.The goal: See if a flatter structure is more efficient for LLM context windows.The results: - Size: 30k products across 632 categories. - Efficiency: The text version uses ~24% fewer tokens (3.6M saved total) compared to the equivalent minified JSON. - Structure: Files are organized in folders (e.g. /products/category/), which helps with testing hierarchical retrieval routers.The link goes to the dataset on Hugging Face which has the full benchmarks.Parser code is here: https://github.com/commercetxt/commercetxtHappy to answer questions about the conversion logic!

HN · launched Jan 7, 2026 · 55 upvotes (top 18%) · 0 views

Niche: multichannel catalog and feed management software · 29 launches, 3 in the last 7 days · Explore this niche →

Category and tags

  • Retail & commerce
  • Data infrastructure
  • Developer
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes This is simply an ETL script that converts an existing open dataset into formatted plain text/markdown and publishes it to Hugging Face.

Discussion

20 comments analyzed.

Competitors mentioned: JSON-LD, UCP (Unified Commerce Platform), TaskRabbit

Concerns raised: Unclear use case - why less-technical people need to access machine-readable format, Requires parsing full DOM for metadata extraction vs. efficient discovery, GET requests with body not standard practice; POST more conventional

Feature requests: Support for encrypted parameters by default, Better handling of arrays in query strings

Competitors

Other products that read as similar to this one : 51 launches clear the similarity bar, closest 8 shown.

Attention rank: #6 of 52 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 54 days after the earliest competitor.

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