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Investing & Deal Sourcing
Founder Launch-Signal Radar
Surface founders announcing launches by filtering posts to their job title, not just keywords.
Run this skill with your agent
1. Connect the MCP server
https://apidirect.io/mcp?token=YOUR_API_KEY
2. Then just say to your agent
Show me founders who just announced a launch in {topic}, with how much traction each seems to have.
In clients that support MCP prompts (Claude Desktop, Claude Code, Cursor) this skill appears as a prompt named
founder-launch-signal-radar.
Any agent can also call get_skill(skill_id="founder-launch-signal-radar") to pull these steps on demand.
What it does
Combines author_title=Founder with launch language so you only see founders shipping things — then grades conviction and traction. The canonical 'author param' play.
Who it's for: Seed investors, BD, and anyone who wants to reach founders at launch.
Inputs
| Input | Required | Description | Example |
|---|---|---|---|
topic |
No | Optional space/keyword to focus on. | AI agents |
How your agent runs it
-
1
search_linkedin(author_title="Founder", query="{topic} (\"just launched\" OR \"introducing\" OR \"we shipped\")", sort_by=most_recent)Only posts authored by founders announcing something. Collect author_url and the post URL.
-
2
linkedin_person_posts(url=<author_url>)Check the founder's posting cadence and any traction signals.
-
3
linkedin_post_details(url=<post_url>, get_sentiment=true)Grade conviction/excitement and confirm it's an original post, not a repost.
Delivers: A feed of founders who just launched — name, company, what they shipped, traction signals — newest first.
Tools used
The full playbook
This is exactly what the MCP returns to your agent (via the founder-launch-signal-radar prompt or get_skill tool), with your inputs filled in.
SKILL: Founder Launch-Signal Radar
Combines author_title=Founder with launch language so you only see founders shipping things — then grades conviction and traction. The canonical 'author param' play.
You are running this skill on API Direct via its MCP tools. Execute the steps below yourself by calling the named tools in order — values in <angle brackets> come from a previous step. Then deliver the result described at the end.
INPUTS:
- topic (optional): (optional — e.g. AI agents)
STEPS:
1. Tool `search_linkedin` — search_linkedin(author_title="Founder", query="<topic> (\"just launched\" OR \"introducing\" OR \"we shipped\")", sort_by=most_recent)
Only posts authored by founders announcing something. Collect author_url and the post URL.
2. Tool `linkedin_person_posts` — linkedin_person_posts(url=<author_url>)
Check the founder's posting cadence and any traction signals.
3. Tool `linkedin_post_details` — linkedin_post_details(url=<post_url>, get_sentiment=true)
Grade conviction/excitement and confirm it's an original post, not a repost.
DELIVER: A feed of founders who just launched — name, company, what they shipped, traction signals — newest first.
Note: each underlying tool call is billed at its normal endpoint price; get_sentiment adds a small per-page surcharge. Page through results as needed but stop once you have enough to deliver the outcome.