# Kamcord

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

Kamcord was a San Francisco-based mobile technology company (Y Combinator, Summer 2012) founded by Aditya Rathnam, Kevin Wang, and Matt Zitzmann. It offered an iOS and Android SDK that let game developers embed in-app gameplay recording, live streaming ("appcasting"), and social sharing to YouTube, Twitter, and Facebook, and grew to roughly 200 million device installs. The company later pivoted to a short-form mobile screen-content social network ("shots"). In November 2017 Lyft acquihired most of the ~15-person team, including co-founders Rathnam and Wang, and Kamcord wound down its consumer app, live streaming, and developer SDK by the end of 2017. The company is DEFUNCT and no longer operates any developer program or API. The kamcord.com domain has since been repurposed by an unrelated lifestyle/blog publisher and is NOT associated with the original Kamcord.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | 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, Mobile, Gaming, Video, Live Streaming, SDK, Social, Defunct

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