monitoring-vc-investor-activity-on-twitterMonitors VC investor activity and deal signals on Twitter using apidojo's Tweet scraper. Triggers when the user asks to: monitor VC activity on Twitter, track what investors are tweeting about, find VCs who are actively investing in a sector on X, monitor deal flow signals from investor tweets, find investors who are looking for deals in a space, track funding announcements from VC firms on Twitter, or discover which investors are most active in a specific vertical. Returns investor handle, firm, investment thesis signals, recent activity, deal flow indicators. Ideal for startup founders fundraising, co-investors, and startup ecosystem analysts.
Install via ClawdBot CLI:
clawdbot install apidojo-io/monitoring-vc-investor-activity-on-twitterGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=$APIFY_TOKENAudited Oct 3, 2026 · audit v1.0
Generated Oct 3, 2026
A technical founder building an AI infrastructure startup needs to identify VCs actively tweeting about AI infrastructure investments. They use this skill to scrape investor tweets mentioning 'AI infrastructure', 'LLM ops', or 'developer tools', then classify results by ACTIVE_INVESTOR signals and prioritize outreach to partners with recent portfolio activity.
A climate-focused VC analyst monitors Twitter for signals from angel investors and micro-VCs tweeting about new climate investments. The skill surfaces emerging investors who mention 'carbon removal', 'climate SaaS', or 'grid infrastructure' by filtering on investment thesis and portfolio company signals in real time.
An accelerator program manager wants to build a list of active investors to invite to demo day. They monitor Twitter for VCs tweeting about verticals relevant to their cohort (fintech, healthtech, B2B SaaS) and rank them by deal-signal score to prioritize outreach to high-activity investors.
A market analyst at a growth-stage fund tracks which investors are most vocal about a rapidly emerging sector like AI agents. They scrape tweets over a 30-day window, deduplicate investor handles, and produce a ranked list of most active investors to share with the partnership.
A founder preparing a Series A runs this skill weekly to refresh their investor pipeline CRM with new deal signals from target VCs. The output includes the investor handle, firm, thesis signals, and recent activity that gets appended to Notion or Airtable for the fundraising sprint.
Provide the core skill free with limited daily searches, and charge for a subscription that unlocks historical trend analysis, saved investor lists, and CRM sync. The skill already outputs structured tables, so it naturally fits a tiered SaaS product.
License the monitoring skill as an API that plugs into investor CRMs like Affinity, Attio, or Salesforce. VC firms pay per seat or per monthly API quota for continuous investor signal feeds delivered as structured JSON.
Package weekly investor activity digests as a paid report for accelerators, scout networks, and ecosystem operators. The skill generates the raw classified data and the operator formats it into a branded newsletter or PDF.
💬 Integration Tip
Set APIFY_TOKEN in your environment and use the run_actor.js script for automated runs; pipe the JSON output into your CRM or spreadsheet through a scheduled cron job for continuous monitoring. Use includeSearchTerms=true so you can track which query surfaced each investor and refine search terms over time.
Scored Oct 3, 2026
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