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10K English words traced to 4 foundations(Space, Time, Energy, Pattern)

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Think of each concept as sitting in a cloud of related words and ideas. The atlas keeps only the load-bearing connections — the simpler ideas you'd need to understand it first. Follow those edges down and every concept lands on one of four foundations: Space, Time, Energy, Pattern. The depth of that chain gives you a rough sense of where the concept sits in the emergent hierarchy.Search here : https://emergencemachine.com/atlas/searchYou can also compare two concept's graph, see what they have in common- https://emergencemachine.com/atlas/distanceEach Concept can also be discussed and debated with site's AI- Prometheus.Tool: Python (asyncpg + custom DAG traversal) walked the "concepts" prerequisite graph down to its four foundation roots, then Graphviz (dot engine) rendered the SVG. PostgreSQL backs the live atlas; the chain image is built deterministically.Read more: https://emergencemachine.com/language-emergent-tool/

HN · launched May 4, 2026 · 6 upvotes (top 69%) · 0 views

Niche: knowledge base and graph software · 107 launches, 1 in the last 7 days · Explore this niche →

Category and tags

  • Education
  • Analytics & BI
  • Prosumer
  • Not AI
  • Hobby / open-source project

Source listing ↗

Could you build this?

Partial While an interactive graph visualization of 10,000 words is straightforward to build, constructing a coherent ontological semantic graph mapping 10k English words down to four root foundations requires an immense curated lexical dataset.

What it would actually take: The frontend is easily built using D3.js or Sigma.js with React/Next.js to render force-directed or hierarchical trees. The hard part is generating and validating the semantic DAG connecting 10,000 words without cycles to Space, Time, Energy, and Pattern, requiring lexical databases (WordNet/ConceptNet), custom ontology-pruning algorithms, and substantial human linguistic validation.

Discussion

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Competitors

Other products that read as similar to this one : 98 launches clear the similarity bar, closest 8 shown.

Attention rank: #90 of 99 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 179 days after the earliest competitor.

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