Investing & Deal Sourcing

Founder Launch-Signal Radar

Surface founders announcing launches across LinkedIn, X, and Reddit — filtered to founders, then graded for conviction and traction.

What it does

Starts with the canonical LinkedIn author_title=Founder filter plus launch language, then fans the same intent out to X and Reddit, where founders also announce shipping. Confirms each poster really is a founder, grades conviction sentiment, and pulls platform-native traction signals — LinkedIn posting cadence, X follower reach, Reddit engagement. The 'author param' play, now multi-platform and user-tunable.

Who it's for: Seed investors, BD, and anyone who wants to reach founders at launch.

Inputs

How your agent runs it

1. 1
   search_linkedin

   search_linkedin(author_title="Founder", query="{topic} (\"just launched\" OR \"introducing\" OR \"we shipped\")", sort_by=most_recent)

   Core play: only posts authored by Founders announcing something. Runs by default; skip only if {platforms} is set and excludes linkedin. Collect each author_url and post_url.

2. 2
   search_twitter

   search_twitter(query="{topic} (\"just launched\" OR introducing OR \"we shipped\" OR \"go live\")", sort_by=most_recent, get_sentiment=true)

   Only run if {platforms} includes twitter: founders announce launches on X even more than on LinkedIn. Collect each tweet's author username and tweet URL. X has no author-title filter, so founder status is confirmed in step 6.

3. 3
   search_reddit

   search_reddit(query="{topic} (\"just launched\" OR \"I built\" OR introducing OR \"feedback on my\")", sort_by=most_recent, get_sentiment=true)

   Only run if {platforms} includes reddit: catches founders self-posting launches in startup subreddits (r/SaaS, r/startups, r/SideProject). get_sentiment grades excitement; upvotes and comment counts are the traction signal.

4. 4
   linkedin_person_posts

   linkedin_person_posts(url=<author_url>)

   Only for LinkedIn hits from step 1: check the founder's posting cadence and any traction signals.

5. 5
   linkedin_post_details

   linkedin_post_details(url=<post_url>, get_sentiment=true)

   Only for LinkedIn hits from step 1: grade conviction/excitement and confirm it's an original post, not a repost.

6. 6
   twitter_user_profile

   twitter_user_profile(username=<author_username>)

   Only run if {platforms} includes twitter: pull the poster's bio to confirm they're actually a founder (replacing the missing author-title filter) and their follower count as the X traction signal.

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
Starts with the canonical LinkedIn author_title=Founder filter plus launch language, then fans the same intent out to X and Reddit, where founders also announce shipping. Confirms each poster really is a founder, grades conviction sentiment, and pulls platform-native traction signals — LinkedIn posting cadence, X follower reach, Reddit engagement. The 'author param' play, now multi-platform and user-tunable.

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)
      Optional space/keyword to focus on. Applied to every platform's search.
  - platforms (optional): (optional — e.g. linkedin, twitter, reddit)
      Comma-separated list of platforms to run — options: linkedin, twitter, reddit. Omit to run all of them; name specific platforms to limit the run.
  - sort (optional): most_recent (default — override if you like)
      Sort order for the discovery searches: most_recent (default, best for a fresh radar) or relevance. Valid on all three search tools.

PLATFORM SELECTION: some steps are gated with "Only run if {platforms} includes X". If the user supplied a `platforms` value, run only the steps whose platform is listed. If the user did NOT supply `platforms`, run ALL steps — every platform the skill supports.

STEPS:
  1. Tool `search_linkedin` — search_linkedin(author_title="Founder", query="{topic} (\"just launched\" OR \"introducing\" OR \"we shipped\")", sort_by=most_recent)
     Core play: only posts authored by Founders announcing something. Runs by default; skip only if {platforms} is set and excludes linkedin. Collect each author_url and post_url.
  2. Tool `search_twitter` — search_twitter(query="{topic} (\"just launched\" OR introducing OR \"we shipped\" OR \"go live\")", sort_by=most_recent, get_sentiment=true)
     Only run if {platforms} includes twitter: founders announce launches on X even more than on LinkedIn. Collect each tweet's author username and tweet URL. X has no author-title filter, so founder status is confirmed in step 6.
  3. Tool `search_reddit` — search_reddit(query="{topic} (\"just launched\" OR \"I built\" OR introducing OR \"feedback on my\")", sort_by=most_recent, get_sentiment=true)
     Only run if {platforms} includes reddit: catches founders self-posting launches in startup subreddits (r/SaaS, r/startups, r/SideProject). get_sentiment grades excitement; upvotes and comment counts are the traction signal.
  4. Tool `linkedin_person_posts` — linkedin_person_posts(url=<author_url>)
     Only for LinkedIn hits from step 1: check the founder's posting cadence and any traction signals.
  5. Tool `linkedin_post_details` — linkedin_post_details(url=<post_url>, get_sentiment=true)
     Only for LinkedIn hits from step 1: grade conviction/excitement and confirm it's an original post, not a repost.
  6. Tool `twitter_user_profile` — twitter_user_profile(username=<author_username>)
     Only run if {platforms} includes twitter: pull the poster's bio to confirm they're actually a founder (replacing the missing author-title filter) and their follower count as the X traction signal.

DELIVER: A cross-platform, newest-first feed of founders who just launched — name, company, what they shipped, a conviction grade, and platform-native traction signals (LinkedIn cadence, X follower reach, Reddit upvotes/comments).

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.