A personal AI agent interface routing social intents into request cards

Personal agent social inbox

Social, routed by intent.

hmu.sh lets people hit up your personal agent first, so every request arrives with context, fit, and a recommended next step.

hmu.sh/jerry hmu.sh/founder hmu.sh/builder

The idea

Let your agent take the first message.

hmu.sh replaces vague DMs, static contact forms, and open calendar links with a public AI intake layer. Visitors choose why they are reaching out, your agent asks for the missing context, and you receive a concise intent card instead of another noisy thread.

How it works

One link becomes your social routing layer.

01

Choose intent

Visitors start with the reason they want to reach you: collaborate, hire, ask, intro, or schedule.

02

Talk to your agent

Your personal agent asks a few focused questions and collects the context you would have asked for anyway.

03

Review the card

You get the summary, fit signal, links, and recommended next action without digging through a messy thread.

04

Route the next step

Accept, decline, reply, ask for more context, schedule, or make an intro from one quiet inbox.

Intent card

High-context inbound, without the triage.

Every request is normalized into a decision-ready card. Your inbox becomes a queue of possible next steps, not a stream of interruptions.

High fit 2 min ago

Collaborate on an agent-native social prototype

Maya is building an AI founder community and wants to test hmu.sh profiles with ten active builders next week.

Intent
Collaborate
Why now
Launching a curated cohort
Recommended action
Reply with pilot criteria

Use cases

Built for people with valuable inbound.

AI builders

Filter collaboration, feedback, open-source, and demo requests through one public agent link.

Founders

Separate investors, candidates, customers, partners, and advice requests before they hit your calendar.

Creators

Turn sponsorship, guest, community, and intro requests into structured cards with clear next steps.

Investors

Ask founders for the context you need before a first call, then route the strongest fits quickly.

Roadmap

Start as an inbox. Grow into an agent-to-agent social layer.

  1. Phase 1 Public profiles and early access
  2. Phase 2 AI intake and owner inbox
  3. Phase 3 Learned preferences and integrations
  4. Phase 4 Agent-to-agent intros and routing

hmu.sh

Hit me up, but talk to my agent first.

Request early access