Show HN: YC Startups Semantic Map (patrik-cihal.github.io)

A new "YC Startups Semantic Map" compiles YC alumni into a searchable, semantically organized list — each entry shows company name, an index, and a one-line description (e.g., Dropbox [48]: smart cloud workspace; Stripe [129]: payments; Cruise [600]: autonomous EVs; GrubMarket [787]: AI-powered food supply chain). The interface appears to support paging and filtering (Start Index, End Index, Minimum Team Size), suggesting the underlying data is sliced and served by index and metadata. The sample spans cloud productivity, marketplaces, logistics and last-mile delivery, fintech/crypto, autonomous mobility, diagnostics, HR/payroll with AI compliance, and AI-enabled supply-chain and e‑commerce startups. For the AI/ML community this is useful both as a curated dataset and as an example application of semantic search over company descriptions. The map likely relies on embeddings + nearest-neighbor/vector search to cluster similar startups and power filters, making it a quick way to explore industry patterns, build sector-specific corpora, or craft few-shot examples for models. Practitioners can use it to train classifiers, seed recommendation or investor tools, or analyze overlap between verticals (e.g., logistics + AI, fintech + compliance). The availability of indices and metadata also makes it easy to paginate, sample, and reproduce experiments on YC startup typologies.