Nicheloom

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30k IKEA items in flat text

Details

External ID
46526809
Source
HN
Company
—
Product
30k IKEA items in flat text
Website domain
huggingface.co
Launched
Jan. 7, 2026
Cohort
—
Upvotes
55
Upvotes percentile
0.8155467720685112
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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!

Enrichment

Theme
e-commerce operations and data utilities
Vertical
Retail & commerce
Function
Marketplace
Audience
B2C
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
ikea product catalog in text format
Manually corrected
False

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 — 26 launches clear the similarity bar, closest 8 shown.

Attention rank: #3 of 27 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 54 days after the earliest competitor.

Other launches for this product

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