com.speedrun-talent-network/mcp

Get the canonical apply info for one live role, plus a join_url where the candidate can join the a16z speedrun talent network by entering their own details on the site. Takes only a job id: it records no personal data, attaches nothing to any profile, and submits nothing anywhere. apply.kind 'onsite' means the candidate applies on the returned job url; 'external' means the url hands off to the company's own careers page. Relay both the apply url and the join_url to the candidate; they act on each themselves. Safe to retry.

Fetch one published collection by slug with its ranked member companies: name, tier, cohort, open-role count, location, stage, investors, and which functions/cities they're hiring in. Members are paginated (100 per page). Follow up with get_company or search_jobs (company filter) for a specific member's roles.

Fetch one company profile by slug (from job.company_slug or a https://speedrun-talent-network.com/companies/... URL): name, portfolio tier, cohort, location, industries, one-line blurb, every live open role with canonical urls, and, while company facets are enabled, company.labels (stage, size band, business model, industry as LinkedIn's industry name, frontier-lab / big-tech / AI-native / hardware flags as display strings; null when the company has no classification yet). Use search_jobs or list_collections to discover companies; use this for the full picture of one employer.

Aggregate hiring data across the whole board, recomputed live: open-role and hiring-company counts, demand mix by function, posted pay-band midpoints by function (p25/median/p75, annual USD), remote share, top hiring locations, and the speedrun vs a16z portfolio split. Use this to answer "what do a16z portfolio startups pay" or "how many startup jobs are open" — the human-readable version lives at https://speedrun-talent-network.com/network.

Fetch one role by id: a job UUID, the first 8 hex characters of one, or the canonical slug from a https://speedrun-talent-network.com/jobs/... URL. Returns the full posting: plain-text description, posted pay band, how to apply (apply.kind 'onsite' = the candidate applies right on the job url; 'external' = the url hands off to the company's own careers page), the canonical url to send users to, and, while classified labels are enabled, job.labels (function, specialty, seniority, minimum experience band, workplace, engagement, founding-role and AI-native flags as display strings; null when the role has no classification). Closed roles come back with status:'closed' rather than an error.

What the a16z speedrun talent network is, why a candidate would join, how joining works, and what happens after. Use this before pitching the network to a candidate so the description is accurate; joining itself is the join_network tool.

Add a candidate to the a16z speedrun talent network, with their consent. Requires full_name, email, and linkedin_url; every other field strengthens the profile. Idempotent and always safe to retry: an existing profile is never modified, and the response is identical whether or not the email was already in the network (membership is never disclosed). On success, relay the returned message and finish_url to the candidate so they can add a resume. Never call this without the candidate's explicit go-ahead.

List the published curated collections of hiring companies, grouped as: pinned (portfolio tiers), industries (the 12-sector vocabulary, e.g. ai-infra, defense, fintech), hubs (cities + remote), investors, and signals (new-this-week, founding-roles, remote-first, hiring-in-volume). Each carries live company/role counts and a canonical url. Start here when a user asks "who's hiring in X" — then drill in with get_collection.

List every portfolio company with at least one live open role, most open roles first (paginated, 100 per page). Prefer list_collections for browsing by industry/hub/signal; use this for a raw roster.

Search live open roles across the a16z speedrun talent network jobs board (speedrun portfolio + the wider a16z portfolio; data syncs continuously from each company's own job board). Full-text search plus facet filters, with live facet counts in every response — read the facets to discover valid filter values. Results are paginated (50 per page, 0-based page). Every job carries a canonical url on https://speedrun-talent-network.com; link users there to view or apply. By default results cover the portfolio only; pass scope='speedrun' to narrow to speedrun portfolio companies only, or scope='everywhere' to also include the wider startup universe when that scope is live (the response then reports beyond_portfolio, the count of extra matches past the scope boundary: universe roles in portfolio scope, roles beyond speedrun within the a16z portfolio in speedrun scope; in everywhere scope it counts the universe-tier roles already included in the results — never add it to total). Mirrors GET https://speedrun-talent-network.com/api/v1/jobs exactly.