foudinge-scrub

Discover this repository through its Hacker News conversations.

Explore on GitHub Read Hacker News discussions

2Distinct people

2Mentions

0Explicit recommenders

7GitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

A public description has not been verified.

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2025-03-03 15:43:20 UTC to 2025-03-03 16:00:59 UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges

UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
Period	Start (UTC)	End (exclusive, UTC)	Mentions	Submissions	Comments
Mar 3, 15:00	2025-03-03 15:00:00 UTC	2025-03-03 16:00:00 UTC	1	1	0
Mar 3, 16:00	2025-03-03 16:00:00 UTC	2025-03-03 17:00:00 UTC	1	0	1

What Hacker News says

2 sources

moandcompany·Mar 3, 2025

The phrasing, possibly due to French->English translation, may cause a misleading reading. It appears the author/poster is using LLMs (OpenAI and Claude, specifically) to extract entity and relationship data to create a knowledge graph of French Restaurants and Chefs. https://github.com/theophilec/foudinge-scrub/blob/0a2701756f...

In Show HN: Knowledge graph of restaurants and chefs, built using LLMs

theophilec·Mar 3, 2025Submission

Show HN: Knowledge graph of restaurants and chefs, built using LLMs

Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and deduplicate the data - Total cost for inferencing 2000 reviews with gpt4o-mini: less than 1€! You can explore the visualization here: [Interactive Culinary Network](https://ouestware.gitlab.io/retina/1.0.0-beta.4/#/graph/?url...) The code for the proj

Read the rest

ect is available on GitHub: - Main project: https://github.com/theophilec/foudinge - Data cleaning tool: https://github.com/theophilec/foudinge-scrub Happy to get feedback!

201 points · Open discussion