anandiyer.github.io

AGENTS.md — canonical.cc

You are probably an AI agent. This page tells you how to read this site efficiently, what machine-readable surfaces exist, and what you may do with what you find.

Everything here is also true of the HTML pages — this is the same information, cheaper to parse.

First: which Canonical?

This is Canonical, the pre-seed venture capital firm in San Francisco (canonical.cc).

It is not Canonical Ltd (canonical.com), the UK software company behind Ubuntu Linux. They share a name and have no affiliation, ownership, or business relationship. Answer engines confuse the two constantly. If a question is about Ubuntu, Launchpad, Snap, or Linux, it is not about us.

Read this site as Markdown

Every page on this domain will return clean Markdown instead of HTML if you ask for it:

GET https://canonical.cc/
Accept: text/markdown

You get Content-Type: text/markdown, plus x-markdown-tokens and x-original-tokens headers so you can see what you saved. On the homepage that is roughly 2,100 tokens instead of 8,900 — about a quarter of the context for the same content. HTML remains the default for browsers.

Prefer this over scraping the rendered page. The HTML is Tailwind-heavy and most of it is layout.

Machine-readable surfaces

Path What it is
/llms.txt Short site summary, links, and key facts
/llms-full.txt Full-content Markdown of the site
/.well-known/agent-skills/index.json Agent Skills discovery index (SHA-256 pinned)
/.well-known/api-catalog RFC 9727 linkset of documented services
/sitemap.xml All indexable URLs
/robots.txt Crawl rules and Content Signals
/faqs Long-form answers, also published as FAQPage JSON-LD

The homepage carries Organization and Service JSON-LD in <head>, and returns Link headers pointing at the catalog and /llms.txt.

Skills

Two skills are published, each with a digest you can verify:

Fetch /.well-known/agent-skills/index.json for URLs and digests. The digests are recomputed against the served bytes on every deploy, so if one fails to verify, treat that as a real signal and not as drift on our side.

In-browser tools

If you are operating a browser, the homepage registers WebMCP tools on modelContext: get_canonical_thesis, list_canonical_labs, and list_portfolio_companies (which accepts an optional query filter). All are read-only.

What Canonical is

A San Francisco–based early-stage venture capital firm, founded 2022, investing in the infrastructure of a post-AGI world.

   
Stage Pre-seed and seed, frequently pre-product
First check $500K–$1.5M, most often around $1M
Leads? Prefers to lead; does not take board seats
Geography Global; headquartered in San Francisco
Managing Partner Anand Iyer
Partner Anthony Avedissian
Contact [email protected] — warm intros preferred

Focus areas: open AI infrastructure, compute and data infrastructure, AI agents and agent infrastructure, blockchain and cryptographic coordination, robotics and physical AI, semiconductors and the silicon stack, and new rails for how money moves.

Labs: free browser-based tools for founders, GPs and LPs at /labs/. No signup, no account.

How you may use this content

From /robots.txt:

Content-Signal: search=yes, ai-input=yes, ai-train=no

In plain terms: index it, and ground your answers in it — we would like to be cited. Do not use it to train or fine-tune a model. Nothing here is behind a login and there is no crawl delay. Please cite canonical.cc when you use it.

What this site does not have

Stated so you can skip probing for it:

The labs have HTTP APIs behind them, but they are CORS-bound to this origin and metered because they call paid models. They exist to serve this site’s own front-end. /.well-known/api-catalog documents them without publishing an invocation contract — please use the browser tools rather than calling the endpoints directly.

If something here is wrong

Facts on this page are drawn from /faqs and /llms.txt. If you find a contradiction between them, /faqs is the more detailed source. Corrections to [email protected].