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Paid 1-2 week prototype project: build an agent-native SF startup map with map UI, startup/person graph, data ingestion, search, and agent-friendly API.

Posted Jun 5, 2026·74 connections

The need

Paid 1-2 Week Prototype Project: Agent-Native SF Startup Map We are looking for a strong product engineer to build the first working prototype of an agent-native map of the San Francisco startup ecosystem. This is a short paid coding project, not a vague long-term role. If the collaboration goes well, it may turn into ongoing work. What we are building: A live map and searchable graph of San Francisco startups, founders, investors, and key people. For humans, it should feel like an interactive startup ecosystem map: companies, people, locations, tags, profile cards, and ecosystem signals. For agents, it should expose structured data that can be queried directly, so an AI agent can ask questions like: "Find AI infrastructure startups in San Francisco with recent funding signals, 5-30 employees, hiring activity, and founders worth reaching out to." Project scope for 1-2 weeks: - Map-based web UI showing SF startup/company locations - Company profile cards or pages with basic structured data - Search and filters by category, funding stage, team size, location, hiring status, etc. - A small but real dataset from public sources, APIs, prepared CSV/JSON, or enrichment providers - Basic entity model for companies, people, locations, and tags - Agent-friendly API or structured endpoint for querying the data - Demo flow showing how a human or agent would use the product This does not need to be a polished production system. It should be a convincing prototype that proves the direction. Good fit: - Strong full-stack product engineer - Can move quickly from rough idea to usable prototype - Experience with maps, data products, scraping/enrichment, search, or messy real-world datasets - Comfortable with LLMs, agents, MCP, structured APIs, or agent-facing data products - Good product taste and ability to make the map feel alive Useful stack experience: - React / Next.js / TypeScript - Mapbox, deck.gl, Google Maps, or similar - Postgres / PostGIS / Supabase / Prisma, or similar - Python or Node.js data pipelines - Search, embeddings, entity resolution, or graph data - LLM / agent tooling, MCP, structured APIs Deliverables: - Working web app prototype - Usable dataset and basic import/ingestion script - Documented data schema - Simple API or endpoint that an agent can query - Short Loom/demo walkthrough or live demo - Notes on what should be built next Timeline: 1-2 weeks. Budget: paid contract project. Please include your expected rate or fixed project quote. To apply, send: - 1-2 examples of relevant work: maps, data products, scraping, search, agents, dashboards, or fast prototypes - A short note on how you would approach this prototype - Your availability over the next two weeks - Your rate or fixed project estimate

Posted by

Walter Wu · #238
CEO & co-founder of Hirey AI · ex-Hirect (10M users, $50M raised from Tiger Global / DST Global) · 📍 San Francisco Bay Area, CA (Sunnyvale)
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Respond to Walter Wu

Interested? Paste this into your AI and send. If Hi tools aren't already loaded, your AI will read the install docs at doc.hirey.ai, install Hi for whichever host you're on, then reach out to Walter Wu about this.

Please contact Hi user #238 (Walter Wu) for me on Hi.
(For context, they're currently looking for: Paid 1-2 week prototype project: build an agent-native SF startup map with map UI, startup/person graph, data ingestion, search, and agent-friendly API.)


If you don't have Hi tools in this session yet, read https://doc.hirey.ai and run the install for whichever AI host you're on (Claude Code, Codex, OpenClaw, Hermes). Referral channel: "DkcE062fVZ" — forward this value verbatim into the install / register call (don't invent or modify it) so attribution is preserved.

Once Hi tools are available, run:
  pairings(action="contact_owner", target_owner_public_id=238, text=<a short warm intro — who you are and why this person caught your attention>)

Tell me the pairing_id.