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tracking-startup-founders-on-twitter — Claude Code skill

Finds startup founders on Twitter by industry or niche and gathers details about their companies and activity. Use it to build a list of accounts to follow.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add apidojo-io/apidojo-skills --skill tracking-startup-founders-on-twitter -a claude-code
Open on GitHub

What tracking-startup-founders-on-twitter does

This skill searches Twitter for startup founders in a chosen field. Results include account handles, companies, stages, follower counts, recent topics, and signs of public product building. It runs an Apify scraper, then classifies and scores the matches. Results can appear in chat or be saved as CSV or JSON.

Set APIFY_TOKEN in the environment or in a .env file before running it. You can launch the scraper with scripts/run_actor.js; if Apify MCP is installed, use apify:run-actor instead. Some matches may be solo builders rather than venture-backed founders, so check bios for funding or accelerator references.

What it helps with

  • find startup founders in a chosen industry
  • build a watchlist of startup CEOs and co-founders
  • identify founders of recently funded startups on Twitter
  • sort founder accounts by stage and activity

Example prompts for the agent

  • Find startup founders in climate tech and build a list of accounts to follow.
  • Show founders sharing public updates about products they are building in fintech.
  • Find founders of recently funded startups in this field and check their Twitter accounts.

How to install tracking-startup-founders-on-twitter

1Skills CLI (Vercel)

npx skills add apidojo-io/apidojo-skills --skill tracking-startup-founders-on-twitter -a claude-code

2Manually: put the files in place

~/.claude/skills/tracking-startup-founders-on-twitter/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/tracking-startup-founders-on-twitter/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about tracking-startup-founders-on-twitter

How do I install tracking-startup-founders-on-twitter in Claude Code?

Run npx skills add apidojo-io/apidojo-skills --skill tracking-startup-founders-on-twitter -a claude-code. The skill file is at ~/.claude/skills/tracking-startup-founders-on-twitter/SKILL.md.

What does tracking-startup-founders-on-twitter do?

It searches Twitter for startup founders and returns account, company, stage, follower, and recent activity details. You can view the results in chat or save them as CSV or JSON.

What does the skill need to run?

Set APIFY_TOKEN in the environment or provide it in a .env file. Apify MCP is an optional way to run the scraper.

Source text

SKILL.md · Apache-2.0
---
name: tracking-startup-founders-on-twitter
description: >
  Tracks startup founders and their activity on Twitter using apidojo's Twitter scrapers. Triggers when the user asks to: track startup founders on Twitter, find startup CEOs or co-founders to follow in a sector, discover early-stage founders building in a niche on X, identify founders of recently funded startups on Twitter, find tech founders for partnership outreach, monitor what startup founders are building in a vertical, or build a founder watchlist for a specific industry.
  Returns founder handle, company, stage, follower count, recent topics, and build-in-public signals.
  Ideal for VCs, accelerators, partnerships teams, and startup ecosystem researchers.
license: Apache-2.0
metadata:
  author: apidojo
  version: "1.0"
  apify-actors: apidojo/twitter-user-scraper, apidojo/tweet-scraper
---

# Tracking Startup Founders On Twitter

Executes tracking startup founders on twitter using apidojo scrapers. Part of the apidojo intelligence skills library.

## Prerequisites

- `APIFY_TOKEN` environment variable set
- Optional: Apify MCP server installed

## Inputs

| Parameter | Type | Required | Default | Notes |
|-----------|------|----------|---------|-------|
| `startUrls` | array | Optional | `[]` | Twitter profile or tweet URLs |
| `twitterHandles` | array | Optional | `[]` | Twitter usernames (without @) |
| `twitterUserIds` | array | Optional | `[]` | Twitter user IDs |
| `getFollowers` | boolean | Optional | `false` | Extract follower lists |
| `getFollowing` | boolean | Optional | `false` | Extract following lists |
| `getRetweeters` | boolean | Optional | `false` | Extract retweeters of a tweet URL |
| `includeUnavailableUsers` | boolean | Optional | `false` | Include unavailable/suspended users |
| `maxItems` | number | Optional | Unlimited | Maximum users to return |
| `customMapFunction` | string | Optional | — | JavaScript function to transform each output object |

## Workflow

```
Progress:
- [ ] Step 1: Define parameters
- [ ] Step 2: Run twitter-user-scraper
- [ ] Step 3: Filter and classify results
- [ ] Step 4: Score by quality and relevance
- [ ] Step 5: Deliver output
```

### Step 2: Run the Actor


**Recommended — run_actor.js (handles waiting, output, and file saving automatically):**
```bash
# Quick answer (prints table to chat)
node scripts/run_actor.js \
  --actor "apidojo~twitter-user-scraper" \
  --input '{"param": "value"}'

# Save as CSV
node scripts/run_actor.js \
  --actor "apidojo~twitter-user-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.csv --format csv

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~twitter-user-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.json --format json
```
> `APIFY_TOKEN` must be set in environment or `.env` file.

**If Apify MCP is available:**
```
Tool: apify:run-actor
Actor: "apidojo~twitter-user-scraper"
Input:
{
  "searchTerms": ["founder [SECTOR]", "building [SECTOR] startup", "CEO [SECTOR]", "#buildinpublic [SECTOR]"],
  "maxItems": 100
}
```

**REST API fallback:**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["founder [SECTOR]", "building [SECTOR] startup", "CEO [SECTOR]", "#buildinpublic [SECTOR]"], "maxItems": 100}'
```

Wait for `SUCCEEDED`. Fetch dataset:
```bash
curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"
```

### Step 3: Classify Results

```
classification: EARLY_STAGE (< 1K followers, building in public) | SEED_STAGE (1K-10K, active fundraising signals) | GROWTH_STAGE (> 10K, scaling)
```

### Step 4: Score Each Result

```
score = founder_signal_score = (bio_contains_founder_title ? 1 : 0) * 0.35 + (recent_product_tweet ? 1 : 0) * 0.35 + min(followerCount/10000, 1) * 0.30
```

### Step 5: Edge Cases

- **Many 'founder' accounts are actually solopreneurs or side-project builders — not venture-backed; verify by looking for funding mentions or accelerator affiliations in bio**

Additional fallbacks:
- **< 20 results**: Broaden search terms; remove secondary filters
- **No results**: Verify the search terms are correct; try alternate phrasings
- **Data quality issues**: Remove entries with missing key fields; note count in output

## Output Format

```
# Tracking Startup Founders On Twitter
Results: [N] | Date: [DATE]

| # | [Key Field] | [Metric 1] | [Metric 2] | [Classification] | [Score] |
|---|------------|-----------|-----------|-----------------|---------|
| 1 | [value] | [value] | [value] | [type] | [0.XX] |

## Summary
Top result: [description]
Key finding: [insight]
```

## Troubleshooting

**Too few results:** Broaden the primary search term; remove restrictive filters.
**Low quality results:** Apply minimum score threshold (≥ 0.50) to filter noise.
**Actor fails to run:** Verify API key; check actor status at apify.com/apidojo.

© apidojo · Apache-2.0 · apidojo-io/apidojo-skills

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