Lead to Launch — AI-Powered CRM Case Study

As a freelance Full Stack Developer, I knew the hardest part of freelancing is consistent lead generation. Manual prospecting — searching Google Maps, scraping business websites, evaluating their online presence, drafting personalized outreach — takes hours per lead and rarely scales. I wanted to automate the entire pipeline from discovery to outreach so that any freelancer or agency could feed in a business type and location, and within minutes receive a ranked list of leads with personalized cold emails, LinkedIn messages, and WhatsApp messages ready to send.

Lead to Launch is a full-stack Next.js application that automates the entire freelance lead generation and outreach process. Users discover local businesses via AI web search or AI generation (describe your ideal lead in plain English). Each discovered lead flows through a 5-phase automated pipeline: Discovered → Audited → Ranked → Prompt Ready → Outreach Ready → Contacted. The AI audits the business website for weaknesses and opportunities, ranks leads by quality, generates custom AI prompts tailored to each business, and writes personalized cold emails, LinkedIn messages, and WhatsApp messages ready to send.

Next.js 16 App Router with TypeScript powers the entire application. Prisma ORM abstracts the SQLite database with 15+ models covering leads, audits, rankings, prompts, and outreach messages. The z-ai-web-dev-sdk handles all AI operations: web search, website audit, lead ranking, prompt generation, and outreach message writing. shadcn/ui provides the design system. Recharts visualizes the pipeline funnel on the dashboard. Excel export uses a server endpoint, and the entire UI is mobile-first responsive with a sticky sidebar on desktop and a bottom tab bar on mobile.