funding-signal-monitor

name	funding-signal-monitor
description	Detect recently-funded startups (Series A-C) as buying signals — fresh capital, growth mandate, active vendor evaluation. Aggregates funding announcements across tech press, Crunchbase, and Hacker News (keyless), dedups across sources, then (agent) extracts company/stage/amount/date and ranks for outreach in the post-raise buying window.
metadata	{"version":"1.0.0","category":"lead-generation","type":"composite"}

Funding Signal Monitor

Surface companies in the ~1-3 month post-raise buying window. The script aggregates + dedups announcement hits keylessly; the agent extracts the structured fields and ranks.

When to use

• "Find companies that just raised Series A/B in [industry]."
• "Monitor funding announcements as buying signals." / "Who got funded recently to pitch?"

How to run

Step 1 — aggregate announcements (keyless)

python3 ${SKILL_DIR}/scripts/funding_search.py \
  --industries "fintech,devtools" \
  --stages "Series A,Series B" \
  --recency-days 30 \
  --output ${WORKSPACE}/funding.json

Searches tech press / Crunchbase via keyless web search and Hacker News via the free Algolia API, dedups by company guess, and merges multi-source mentions into a sources list. For X/Reddit depth, optionally run an Apify actor and merge in-agent (APIFY_API_TOKEN).

Step 2 — extract + filter (you, the agent)

For each candidate in funding.json, read the source titles/snippets and fill company, stage, amount, date. Drop rounds outside the stage/amount/industry/recency filters and stale rounds (post-raise window is ~1-3 months).

Step 3 — qualify + rank (you, the agent)

Rank by round size, stage fit, industry fit, and recency; write a fit_note. Multi-source mentions raise confidence, not count. Export the ranked list + channel attachment.

Outputs

funding.json — [{company_guess, stage_hint, industry_hint, sources[], titles[], company, stage, amount, date, fit_note}], sorted by source corroboration.

Credentials / env

• Required: none — keyless serp + HN (free Algolia API) carry the bulk of results.
• Optional: APIFY_API_TOKEN (X/Reddit scraper depth — those sources degrade to serp site: search without it); ANTHROPIC_API_KEY only if the extraction LLM isn't platform-provided.

Notes & edge cases

• The post-raise buying window is ~1-3 months — prioritize recency; drop stale rounds.
• Series A-C is the sweet spot; de-prioritize seed and late-stage unless configured.
• Dedup aggressively — the same round appears across many sources; multi-source mentions raise confidence, not count (the script merges into sources).
• The keyless serp endpoint rate-limits; in production this maps to the Robomotion serp node with a proxy. Apify spend is optional and small.