

¿Qué es Startup Sphere?
I scraped every startup on TrustMRR, generated high dimensional embedding vectors for each one, then performed a 3D Uniform Manifold Approximation and Projection (UMAP) dimensionality reduction, then normalized into unit vectors centered around a sphere, performed clustering, and finally re-scaled the height of each point based on the MRR of each startup.
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