A source-agnostic lead qualification system. POST data from any source, AI qualifies and stores results.

1. Remix this val
2. Add your OPENAI_API_KEY in the val's environment variables
3. Edit PROMPT.txt to define your ideal customer profile
4. Edit digest.ts to add email recipients
5. POST leads from any source with ?source=your-source

• POST any JSON to this val's endpoint with ?source=source-name
• AI researches the lead using web search
• Classifies as yes, no, or insufficient_data
• Stores result with reasoning in SQLite
• Dashboard shows qualified leads, hides the rest
• Daily email digest of ideal leads (plaintext)

The AI returns three fields:

{
  "name": "Sarah Chen, Engineering Lead @ Acme",
  "idealCustomer": "yes",
  "reasoning": "Sarah has a technical background as an engineering lead..."
}

id, timestamp, source, name, ideal_customer, reasoning, raw_data

All original input data is preserved in raw_data as JSON.

POST from anywhere - webhooks, scripts, other vals:

curl -X POST "https://your-val.web.val.run?source=rb2b" \
  -H "Content-Type: application/json" \
  -d '{"email": "test@example.com", "name": "Test User"}'

The AI will research and qualify whatever you send.