Build Better Apps On Easy Mode with Doc Willams

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Mar 10, 2026

Doc Williams, creator of a micro-SaaS that scrapes and analyzes app reviews, walks through an automation-driven app that finds underserved markets. Hear a live demo using Pinecone for AI chat, n8n workflows, and a Lovable front end. Learn how review scraping, embedding chat, and connecting Stripe and Supabase tie together to build and monetize apps.

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INSIGHT

Embed AI Chat With Persistent History

You can embed an AI chat agent into your SaaS and save full chat history to a database for admin review and PRD generation.
Doc Williams built this with n8n chat input, Pinecone Assistant, and Supabase to store messages and responses.

ADVICE

Start With Pinecone Defaults Before Tweaking

Use Pinecone Assistant to avoid manual vectorization and chunking; it handles heavy lifting out of the box.
Start with defaults before tweaking TopK or snippet size to validate results quickly.

ANECDOTE

Oil Field Calendar Example Revealed Profitable Gaps

Doc Williams found a profitable niche app, Oil Field Calendar, earning ~$50k/month and used its reviews to find improvement opportunities.
He filtered reviews to four stars and below to surface actionable complaints and exported 147 reviews for analysis.

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🎁 Download Part 1 Here: https://go.n8n.io/app-creation-workflow
🎁 Download Part 2 Here: https://go.n8n.io/app-creation-workflow-prompts

Doc Williams shows you how to build a complete SaaS application that scrapes app store reviews, analyzes them with AI, and helps you identify million-dollar opportunities in underserved markets.

The System:
This workflow automatically scrapes app reviews, lets users chat with the data using Pine Cone's new assistant node, and even generates Product Requirement Documents (PRDs) to help you build better apps. The entire system uses Fire Crawl for scraping, n8n for automation, Pine Cone for AI chat, Lovable for the front-end, and Stripe for payments.

Tech Stack:

n8n (automation & workflows)
Pine Cone Assistant (AI chat with your data)
Lovable (front-end development)
Supabase (database)
Fire Crawl (review scraping)
Stripe (payments)
OpenAI (language model)

What You'll Learn:
• How to scrape and analyze app store reviews to find profitable gaps in the market
• Setting up Pine Cone's Assistant Node with n8n (no complicated vectorization needed!)
• Embedding AI chat directly into your SaaS application
• Saving chat history to a database with Supabase
• Building the entire front-end with Lovable AI
• Adding Stripe payments to monetize your app
• Real example: Oil Field Calendar app making $50k+/month

0:00 - Introduction & Overview
0:22 - What You'll Learn Today
1:00 - The App Review System Demo
2:16 - How to Find Profitable App Opportunities
3:52 - Live Demo: Oil Field Calendar Example
5:30 - Using AI Chat with Pine Cone
9:30 - Embedding the Chat Feature in Your SaaS
10:17 - Tech Stack Overview
11:57 - Inside the n8n Workflow
15:00 - Understanding Pine Cone Assistant Node
17:30 - Top K and Snippet Size Explained
19:47 - Data Shape and Configuration Tips
22:09 - Metadata Filters Setup
22:56 - Saving Chat History to Database
24:26 - Generating Product Requirements (PRDs)
26:40 - Full Tech Stack Breakdown
29:52 - Setting Up with Lovable & Stripe
30:30 - Template & Prompt Availability
31:14 - Future Opportunities & Market Ideas
33:26 - Closing Thoughts & Where to Connect

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