General Instinct
General Instinct is a San Francisco company (Y Combinator Spring 2026) building the deployment layer for physical AI. Founded in 2026 by Bill Jiao and Guanming Wang, it distills, quantizes, and deploys large frontier AI models onto constrained edge hardware so robotics, drone, and physical-AI teams can run low-latency models fully offline on devices like NVIDIA Jetson, mobile NPUs, ARM CPUs, the Apple Neural Engine, and Snapdragon. Its first product, Instinct Edge, takes a model, a target device, and a latency budget and returns an offline runtime that hits the budget on-device with no cloud calls, handling model compression, custom kernel optimization (CUDA, Metal, ARM NEON), and the data-to-serving pipeline. It was surfaced as a Y Combinator portfolio company and added to the API Evangelist network as a stub; enrichment searched the public web and found a marketing landing page but no developer portal, documentation, OpenAPI, SDKs, or public API surface, so no API artifacts could be harvested. This profile captures the company identity plus the security posture of its public web surface, and remains an identity-only lead pending a discoverable API.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles General Instinct the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — General Instinct scores 6.8/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile General Instinct
Each block below is one kind of artifact we hold for General Instinct. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for General Instinct — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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