Fresh Fundraise Detector
Catch founders the day they announce a round and rank them by real traction before everyone else calls
https://apidirect.io/mcp?token=YOUR_API_KEY
Catch startups that just announced a {round_keywords} round in {sector} this week and rank the founders by real traction.
fresh-fundraise-detector.
Any agent can also call get_skill(skill_id="fresh-fundraise-detector") to pull these steps on demand.
What it does
Founders broadcast closings on X and LinkedIn before press hits. Cross-matching 'we raised' tweets with founder LinkedIn announcements, then checking the founder's following, separates signal from noise for warm, time-sensitive intros (co-invest, follow-on, or services).
Who it's for: Crossover funds, co-investors, and founder-facing service providers
Inputs
| Input | Required | Description | Example |
|---|---|---|---|
round_keywords |
Yes | The round phrasing to track | Series A |
sector |
No | Sector keyword to narrow the search | climate tech |
How your agent runs it
-
1
search_twitter(query="\"we raised\" {round_keywords} {sector}", sort_by=most_recent, get_sentiment=true)Keep celebratory, positive-polarity announcement tweets from the last few days and capture the founder handle.
-
2
search_linkedin(query="thrilled to announce {round_keywords}", author_title="Founder", sort_by=most_recent)Corroborate each raise with the founder's LinkedIn post and pull the company name.
-
3
twitter_user_profile(username=<founder_handle>)Read followers_count and verified to rank founders by reach and legitimacy.
-
4
search_linkedin_companies(query=<company_name>)Resolve each company to its canonical LinkedIn id/url for a clean CRM hand-off.
Tools used
The full playbook
This is exactly what the MCP returns to your agent (via the fresh-fundraise-detector prompt or get_skill tool), with your inputs filled in.
SKILL: Fresh Fundraise Detector
Founders broadcast closings on X and LinkedIn before press hits. Cross-matching 'we raised' tweets with founder LinkedIn announcements, then checking the founder's following, separates signal from noise for warm, time-sensitive intros (co-invest, follow-on, or services).
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:
- round_keywords (required): <round_keywords — ASK THE USER>
- sector (optional): (optional — e.g. climate tech)
STEPS:
1. Tool `search_twitter` — search_twitter(query="\"we raised\" <round_keywords> <sector>", sort_by=most_recent, get_sentiment=true)
Keep celebratory, positive-polarity announcement tweets from the last few days and capture the founder handle.
2. Tool `search_linkedin` — search_linkedin(query="thrilled to announce <round_keywords>", author_title="Founder", sort_by=most_recent)
Corroborate each raise with the founder's LinkedIn post and pull the company name.
3. Tool `twitter_user_profile` — twitter_user_profile(username=<founder_handle>)
Read followers_count and verified to rank founders by reach and legitimacy.
4. Tool `search_linkedin_companies` — search_linkedin_companies(query=<company_name>)
Resolve each company to its canonical LinkedIn id/url for a clean CRM hand-off.
DELIVER: A same-week list of just-funded startups with founder handles, traction signals, and resolved company profiles ready for outreach.
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.