Foudinge

Data

knowledge graph

SHOW HN2025

201points
39comments
#321of 3,837 in 2025
Top 9%of 2025 by points

How HN took it

DebatedReal support and real criticism

6 positive, 9 neutral or asking, 0 mixed, 6 critical, out of 21 comments about the project. Thread score +0.05.

Design: 1 for, 3 againstPerformance: 1 for, 2 againstIdea: 1 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Cool application of graph search and LLM extraction

    From 2 comments
    • This is a super cool idea! I've sort of mused about an idea for general web search that's very similar to this concept, where you start with a set of trusted entities and then…
      arnath on HN
    • This looks great! I was just looking for a good web knowledge graph visualizer.
      jonnycoder on HN
  • Positive reception of the updated visualization

    From 1 comment
    • Yes! This looks amazing. Thanks! I made a mistake; I had checked the other link in your post ("You can explore the visualization here: [Interactive Culinary Network]") instead of…
      tantalor on HN

Objections

  • Node layout looks random and disorganized

    From 2 comments
    • The embedding is kind of weird. Like, there's no reason a "degree: 1" node should be so far away from its sibling. Example: https://imgur.com/a/7Cktyzp This makes the graph look…
      tantalor on HN
    • The "Chloé Woestelandt" test is still just as bad
      tantalor on HN
  • Local models hallucinated more than gpt4o-mini

    From 1 comment
    • Local models hallucinated a lot more that gpt4o-mini, so I stayed with OpenAI. On top of that, I paid around 14€ for inference on ~200 examples on OVH and inference was much…
      theophilec on HN

Requests

  • Use a better layout algorithm such as UMAP, tSNE or hiveplot

    From 2 comments
    • Yeah, they should have used UMAP or tSNE to cluster the data a bit
      visarga on HN
    • Since you did the hard work of parsing rich metadata already, it would be even cooler if your network visualization oriented nodes by some of this information. Here the…
      peppery on HN
  • Try multimodal models

    From 1 comment
    • Looks interesting, have you tried utilizing a multimodal model?
      repsiace on HN
  • Support for other review datasets beyond LeFooding

    From 1 comment
    • Do you think this will work as effectively with Google or Social Media review and rating datasets? As every country may not have a LeFooding.com Would like to here everyone's…
      pranavm27 on HN

Questions

  • How does it compare to a specialized classification model versus a generative LLM

    From 1 comment
    • Given the structured nature of the data, how does this compare to running a specialized classification model that looks for specific words in a review and uses those to assign…
      nluken on HN
  • Whether JSON mode was used for structured output with gpt4o-mini

    From 1 comment
    • This was inspiring, what a cool idea. Just curious—-for 4o mini isn’t there a json mode that reliably produces structured output? Was that what you were referring to / ended up…
      bevan on HN

Alternatives named

  • Named entity recognition models such as spaCy

    From 2 comments
    • The data is initially not at all structured, and the critics talk about a chef's CV in passing. For instance, take this example: > At Grenat, Antoine Joannier and Neil Mahatsry…
      theophilec on HN
    • LLMs have without a doubt replaced NER models and libraries like SpaCy. At least for my use-cases, creating ontologies and populating knowledge graphs.
      varelaseb on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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