# Apropose

**Canonical:** https://apis.io/providers/apropose/  
**APIs profiled:** 0

Apropose, Inc. was a Mountain View, California startup spun out of the Stanford University Computer Science Department in 2013 to bring data-driven software to web design. Founded by Ranjitha Kumar, Jerry Talton, Maxine Lim, and Arvind Satyanarayan, the company built tools for large-scale visual page search and web design analytics — letting teams track design trends, compare a site's design against demographics, and surface prevalent design patterns to inject concrete data into the design process. It raised a roughly $1.875M seed round in 2014 led by New Enterprise Associates (NEA) and Andreessen Horowitz (a16z), with angels including Pat Hanrahan and Nick McKeown. The company has since ceased operations and is permanently closed; it publishes no public API, developer portal, or documentation, and its primary domain (apropose.com) is now parked and listed for sale. This profile is retained as an a16z portfolio-lead record.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Defunct, Web Design, Design Analytics, Machine Learning, Data Visualization, Stanford Spinout, a16z Portfolio

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/apropose/). Scores are computed from the provider's own public artifacts under a published rubric.