Build a Profitable AI Side Project: From $0 to $1k MRR
The exact stack, pricing, and 90-day playbook to turn an AI side project into recurring revenue. Plus the 3 traps I fell into.
AI entrepreneurship
Building small, paid-from-day-one AI products that actually generate revenue. Pricing on value, focusing on weekly active use, and using boring stacks so the differentiation lives in the AI workflow.
Key takeaways
- Ship a PAID-from-day-one micro-tool, not a free product hoping for ads. $5–$15/month subscriptions clear $1k MRR with ~100 users — ad models need 100x more.
- Pick a problem you have personally hit twice in the last month. Your own pain is the cheapest market research available.
- Use Stripe + Supabase + Next.js as the boring stack. The differentiator is the AI workflow, not the framework.
- Price on VALUE delivered (saves user 2 hours = charge $10–20), not on cost (LLM tokens = $0.02). Cost-plus pricing leaves 80% of the value on the table.
Frequently asked questions about this category
How much does it cost to build an AI micro-SaaS?
Under $50/month in infrastructure to get to first paying customer (Vercel + Supabase + Stripe free tiers, plus LLM API spend). The dominant cost is your time, not your bill.
How do I price an AI micro-SaaS?
Survey 20–40 target users with "if this didn’t exist, what would you do?" The answer (hours of manual work, $X on Fiverr, $Y on a competitor) is the value. Price somewhere between 5% and 20% of that value, not as a markup over your token cost.
Should I build my AI product as a Chrome extension, web app, or API?
Web app for broadest reach and easiest billing. Chrome extension only when integration with another product’s UI is the core value. API for B2B developer tools — where the integration IS the product.
How long until an AI side project replaces my salary?
For most successful micro-SaaS founders, 18–36 months from first paying customer. The fast-growth stories are survivorship bias. Plan for the slow path, treat fast growth as upside.
What is the most common reason AI side projects fail?
Building a feature, not a product. A clever AI workflow that nobody updates their workflow to use is not a business. Focus on weekly active use of paying customers — if that number is not growing, no amount of new features will save the project.