You prompt ChatGPT, it gives you a schema that looks good, until users can see each other's data, your migrations lock production, and your price column rounds $19.99 to $19.989999.
This book fixes that forever.
Supabase + ChatGPT is the field-tested system to turn any app idea into a secure, scalable, and cost-correct Supabase Postgres schema in under 20 minutes using ChatGPT — without becoming a DBA.
No more USING true leaks. No more downtime migrations. No more "it worked on my machine" RLS.
The Indie Stack Factory:
Part 1 - The 4-Prompt Framework (From Vague Idea to Precise Spec):
Stop asking "create a database for my app." Use the 4 prompts that force ChatGPT to think like a senior engineer:
Prompt 1: The Idea — One sentence, one action
Prompt 2: The Nouns — Extract tables and fields
Prompt 3: The Verbs — Define actions and who can do what
Prompt 4: The Rules — Capture money, privacy, and edge cases that kill V1s
Part 2 - The 4 Production-Ready Templates:
Copy-paste SQL for 90% of indie apps:
Template 1: Project Sharing — The share_token pattern that eliminates an entire invites table
Template 2: Marketplace — Handle money safely with price_int (cents), is_active soft-delete, and check (price_int > 0) to prevent free-listing bugs
Template 3: Community Feed — Prevent duplicate likes with composite primary keys (post_id, user_id) and stop N+1 timeouts with proper indexes on listing_id and buyer_id
Template 4: SaaS with Teams — Multi-tenancy done right
Part 3 - The Production Hardening You Skipped:
RLS Patterns That Actually Work: The 3-line audit select tablename, rowsecurity from pg_tables where schemaname='public' and how to test as anon vs auth.uid(). Owner vs viewer policies, buyer-seller join policies with listing.seller_id = auth.uid()
Safe Migration Loop: supabase db diff -f add_reviews, local reset with real auth seeds, and push with zero downtime. The Two-Step Not-Null Pattern to add a required rating_int without locking your table
Indie Cost Killers: Why integer cents beats numeric for payments, when to use unique constraints (and when orders SHOULD repeat), and indexing for 1,000+ orders
Includes 3 Real Case Studies:
How Maya fixed an RLS leak in 18 minutes vs 11 hours before
How David shipped a marketplace and added a reviews table after 20 orders with no downtime
How Priya pivoted to community without duplicate likes
If you want to stop debugging your database and start shipping your product, this is your blueprint.
Go from idea to deployable SQL in 20 minutes. Every time.
Patrice Lumi is a backend architect, indie hacker mentor, and Supabase specialist obsessed with one thing: shipping production-ready products without a team of DBAs.
Patrice has built and audited dozens of Supabase backends for SaaS, marketplaces, and community apps, and saw the same patterns repeating — insecure USING true policies, broken money columns, migrations that lock tables, and AI-generated schemas that leak data on day one.
He developed the Indie Stack Factory to solve this: a prompt-driven, template-based system that forces ChatGPT to generate secure, documented, and migratable Postgres.
He is known for his practical rules: price_int > 0, never use floating-point for money, composite keys for likes, share_token over invites tables, and always test RLS as anon first.
Patrice is also the author of Retool + OpenAI: Building Internal Business Dashboards in 2 Hours and Windsurf Editor Hacks: The Cascade Playbook.
When he's not writing safe migrations, he helps indie founders go from idea to paying users in a weekend.