Non-coder builds full prospecting stack with Claude Code and APIs
A Reddit user on r/ClaudeAI shared how they built a complete outbound prospecting system over a weekend using Claude Code, despite having zero coding experience. The system replaces a manual multi-tool setup and relies on three API-based tools chained together by Claude Code.
Workflow
- ICP file: The user maintains a plain text file with Ideal Customer Profile criteria (industry, headcount range, funding stage, target personas). Claude Code reads this file as context.
- Company search: Claude Code queries
CrustdataAPI with ICP filters, returning structured data (headcount, funding, tech stack, hiring signals). The user tried Exa before but found the data insufficiently structured. - People search: Filters by persona (Director of Sales, Head of Revenue, VP Marketing, etc.) within target companies.
- Contact enrichment: Uses
FullEnrichwaterfall provider checking 20+ sources; only pays for verified contacts. - Personalization: Claude Code pulls recent social posts for each contact and drafts personalized openers referencing specific content.
- Monitoring: Webhooks fire on job changes and hiring signals; Claude Code auto-generates outreach when trigger events occur.
Key lessons
- Read API docs carefully — the user burned credits by using the expensive realtime endpoint when the cached version sufficed for 90% of searches (33x cost difference).
- Claude Code handles chaining API calls well when given enough context in plain English. The ICP file is critical for filtering.
- Personalization quality and webhook relevance still need iteration (some irrelevant job posting alerts).
Stack
- Crustdata: Company/people search, firmographics, hiring signals, social posts (API).
- FullEnrich: Email/phone waterfall with inline verification (API).
- Instantly: Sending with inbox management and warming.
The user emphasizes that for solo founders or small teams running outbound without an engineering team, Claude Code + one good data API + a sending tool is sufficient.
📖 Read the full source: r/ClaudeAI
👀 See Also
A Non-Coder's File System Project Management Setup for Claude Desktop
A Reddit user shares their system for using Claude's Chat with Filesystem and Cowork features to manage multiple long-running projects. The setup uses a standardized directory structure with WORKFLOW.txt as the entry point and includes specific project instructions for maintaining continuity across sessions.
A TDD Development Flow Using AI Agents for Website Projects
A developer shares their workflow for building websites using AI coding agents with TDD, detailing setup steps, iterative processes, and specific commands for running tests with local models like Qwen3.5-27B.
Running Claude with Qwen 3.5 as a persistent agent on Mac Mini reveals human bottleneck
A developer runs Claude with Qwen 3.5 as a persistent agent on a dedicated Mac Mini, handling product creation, project management, analytics, newsletter support, and 3,000 WizBoard tasks. The agent created 16 products in two months, revealing that the bottleneck shifted from production capacity to human approval and decision-making.
Building a Voice Assistant with OpenClaw, Alexa, and Local LLM
A developer built a voice-first assistant using OpenClaw as the AI agent backbone, Alexa for voice input, and a local LLM (Ollama with Qwen 2.5 3B) to handle general knowledge queries with sub-second response times and reduced API costs.