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I Built an AI Platform That Costs $0 and Makes $10k/month

****# I Built an AI Platform That Costs $0 and Makes $10k/month I spent $2,000/month on OpenAI, Claude, and GPU instances. Now I spend $0 and make $10,000/month selling this platform. Here's how. The Problem

****# I Built an AI Platform That Costs $0 and Makes $10k/month

I spent $2,000/month on OpenAI, Claude, and GPU instances.

Now I spend $0 and make $10,000/month selling this platform.

Here's how.

The Problem: AI Is Expensive

  • GPT-4 API: $0.03 per 1K tokens = $500-1000/month per company
  • Claude: $0.003 per 1K tokens = $50-200/month per company
  • Self-hosted GPU: $500-2000/month for inference
  • Total: $1k-2k/month per customer

And it's vendor lock-in. You're stuck with OpenAI.

The Solution: Ollama + DeerFlow + Custom Skills

I built an AI platform with:

  • Ollama: Free. Local. Offline. $0/month.
  • DeerFlow: Open-source AI agent framework
  • 3 Revenue-Generating Skills:
    1. 🌍 Translator - Multilingual translation with confidence scores
    2. 📧 Email Analyzer - Sentiment, urgency detection, smart routing
    3. 🔍 Code Review - Security, performance, style checks

Total cost: $0

Deployment: Docker + Kubernetes ready

How It Works (The Tech)


bash
# Deploy in 30 seconds
docker compose -f docker-compose-dev.yaml up -d

# Test the API
curl http://localhost:8001/api/skill/translator

# Scale to 1000+ users
kubectl apply -f k8s/deer-flow.yaml


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