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/ai-saas · Claude, Next.js, Supabase and Stripe

Build an AI SaaS product.
From idea to paying users.

A 10-module, 52-lesson curriculum: validate an idea, build on Supabase and Next.js, add AI features with the Claude API, speed up with Claude Code and MCP, deploy on Vercel, launch, and charge with Stripe.

Get the free Starter KitBuilt by Anyro · founder of IImagined (est. 2024) · Melbourne

Read the first lesson before you pay.

This is the opening of “Building an AI SaaS in 2026”, the first lesson of the course. Make a free account and you can read all of it.

Module 1 · Lesson 1

Building an AI SaaS in 2026

What this course is, and is not

This course walks you through building and launching one AI-powered software product with Claude, Next.js, Supabase, Vercel and Stripe. You finish with working software and a launch plan. Nothing here guarantees customers or revenue: that depends on the problem you pick and how well you validate it, which is why Module 1 starts there.

Prices, model names and plan limits in this course were checked against official sources in October 2026 and are linked so you can re-check them. They change often.

What has changed, and what has not

It is cheaper to start. Next.js is open source, Supabase and Vercel have free tiers for learning and development, and model APIs bill per token, so a prototype costs little more than the tokens you use. AI coding tools such as Claude Code and Cursor handle much of the boilerplate, although you still have to review what they write.

The hard parts remain. You need a problem people already pay to solve, a way to reach them, and output reliable enough to trust. Two things are newer:

  • Every request costs money. Each AI call has a token cost, so pricing and usage limits are part of the design, not an afterthought.
  • Rules apply. Since 2 August 2026, Article 50 of the EU AI Act requires telling people when they are interacting with an AI system (European Commission), and the US FTC has acted against deceptive AI claims.

The six parts of a first version

  1. One job done well for a specific kind of customer, such as turning supplier contracts into a list of obligations and deadlines.
  2. One AI feature that does that job, with prompts and output formats tested on real examples.
  3. Accounts, so each customer's data stays private (Supabase Auth plus Row Level Security).
  4. Usage limits per plan, because every request has a cost.
  5. Billing, including tax and receipts (Stripe).
  6. Cost and quality tracking: tokens per customer, and a test set you re-run whenever you change a prompt or model.
The six parts of a first version
  1. 1
    One job done well

    For a specific kind of customer, such as turning supplier contracts into a list of obligations and deadlines.

  2. 2
    One AI feature

    Does that job, with prompts and output formats tested on real examples.

  3. 3
    Accounts

    Each customer’s data stays private: Supabase Auth plus Row Level Security.

  4. 4
    Usage limits per plan

    Because every request has a cost.

  5. 5
    Billing

    Including tax and receipts, with Stripe.

  6. 6
    Cost and quality tracking

    Tokens per customer, and a test set you re-run whenever you change a prompt or model.

Team seats, dashboards and integrations can wait until paying customers ask for them.

Straight from the free community.

Anyro's latest posts in the free IImagined community: what's working on Instagram, AI tool updates, product and SaaS notes, and weekly challenges. The free Creator Starter Kit comes with a free account, and its dashboard has your invite to the Discord community.

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Latest posts from the feed, refreshed daily.

  1. Anyro·

    Poll: what stack are you building on

    quick poll. what's your SaaS stack? the one I teach, and why each piece is there: Next.js for the app, because one codebase handles pages and API routes. Supabase for the database…

    1 likes
  2. Anyro·

    Where are you selling from?

    quick poll. where do you sell (or plan to sell) your digital product? what each one costs on a $29 sale, default US rates, no ads: Etsy: $3.21, and buyers are already browsing…

    1 likes
  3. Anyro·

    My AI SaaS launch day checklist

    the checklist I'd run the day before an AI SaaS goes public: 1. Supabase on Pro. Free projects pause after a week of inactivity and have no backups. 2. RLS on every table…

    1 likes
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01 · The current state

Where it hurts right now.

◌
Ideas without demand
You have a list of AI app ideas but no way to tell which one people would pay for.
⌘
Too many tools
Models, vector databases, agents, MCP, hosting: every tutorial uses a different stack and none connect end to end.
△
Prototypes that never ship
The demo works on your laptop, but auth, data security, billing and deployment stall the real launch.
↘
Launch silence
You shipped, posted once and got no users, so you cannot tell whether the product or the launch failed.
02 · Why other paths fail

The graveyard of attempts.

Compare these approaches with the structured curriculum and decide what fits your goals.

build-first
“Code for months, then look for customers.”
Without validation you can spend the whole build on a problem nobody pays to solve.
thin wrapper
“Put a prompt behind a login and call it a product.”
If the only value is a single model call, users can get the same result from the model provider's own app.
skip the boring parts
“Security and billing can wait.”
Exposed API keys, missing Row Level Security and no rate limits turn early users into a liability.
launch and wait
“Post it once and let it grow.”
First users come from direct outreach, a planned launch and content; retention work keeps them.
03 · What's different here

The line between tactic and system.

Disconnected tool tutorials.
One current stack end to end: Supabase, Next.js, the Claude API, Vercel and Stripe.
One stack
Demo-grade code.
Row Level Security, secrets handling, rate limits, fallbacks and cost controls.
Production basics
Writing every line by hand.
Claude Code, Cursor and MCP servers built into the development workflow.
AI-assisted build
Stopping at deploy.
Launch, pricing, Stripe billing, churn and the metrics that matter.
Business side
04 · Named mechanism
The AI SaaS Build Loop

A four-part loop from idea to revenue.

Validate a specific problem before writing code, build the smallest useful product on a proven stack, launch to real users, then price, measure and improve. The curriculum does not promise a revenue figure; outcomes depend on the problem, execution and market.

  1. Validate

    Pick a narrow problem, test demand with real people, and choose a stack you can ship on.

  2. Build

    Supabase data and auth with Row Level Security, a Next.js front end, and one core AI feature on the Claude API.

  3. Launch

    A landing page, a Product Hunt plan, content and direct outreach to win your first users.

  4. Monetize

    Pricing models, Stripe billing, retention work and the metrics that tell you what to fix.

Then the loop starts again at step 01: validate → monetize.

05 · Catalog outline

10 listed modules. 52 listed lessons.

Lessons are added and updated over time.

Generate ideas from problems you can reach, validate demand before you build, and choose a stack you can ship on.
Lessons
  • Building an AI SaaS in 2026
  • Idea Generation Framework
  • Validate Before You Build
  • Choose Your Stack (Claude + Next.js + Supabase)
Lessons in each module
1. Find Your AI SaaS Idea
4
2. Supabase Masterclass
8
3. Build Your MVP with AI
5
4. Claude Code & MCP Servers
6
5. Claude API Deep Dive
4
6. Vercel & Deployment
8
7. Launch & Get Users
4
8. Monetization
4
9. MCP Servers & AI-Powered Development
5
10. Scaling Your SaaS
4

Module 1 opens with the free preview lesson.

10 working files, tied to lessons.

The resource vault comes with AI SaaS Builder: 4 spreadsheets and 6 templates and checklists, each used in a specific lesson.

  • Idea scorecard

    idea-scorecard.csv

    A spreadsheet that scores each idea on pain, budget, reach and the chatbot test, then on how well Claude handles real examples, so you know which ideas to validate first.

    Module 1, lesson 2

  • MVP one-page brief

    mvp-one-pager.md

    A one-page template for writing your pass and fail criteria before you validate, recording the go or no-go decision, and scoping the first version you build.

    Module 1, lesson 3

  • Supabase grants and RLS checklist

    rls-and-grants-checklist.md

    Copy-ready SQL templates for grants and Row Level Security policies, with a two-user test script and a per-table checklist to run before every schema deploy.

    Module 2, lesson 3

  • Prompt eval sheet

    prompt-eval-sheet.csv

    A test-case spreadsheet for your Claude prompts that records expected behaviour, pass or fail, tokens and cost per case, so you can compare prompts, models and effort levels.

    Module 5, lesson 1

  • Pre-launch QA and security checklist

    pre-launch-qa-checklist.md

    A launch-blocker checklist for patches, sign-in, data access, secrets, AI abuse limits, payments, monitoring and legal pages, to run on production before real users arrive.

    Module 5, lesson 4

  • Environment variables checklist

    env-vars-checklist.md

    Every variable the course stack uses, marked public or server-only, with where to get it and where to set it in Vercel, plus a .env.example, leak checks and rotation steps.

    Module 6, lesson 2

  • Launch plan checklist

    launch-plan-checklist.md

    A phased plan from four weeks before launch to two weeks after, with Product Hunt and Show HN rules and a scorecard to set targets and record results.

    Module 7, lesson 2

  • Unit economics calculator

    unit-economics-calculator.csv

    A spreadsheet that turns plan price, tasks per user, tokens per task, model prices and Stripe fees into cost, gross margin and the most tasks a plan can include before it loses money.

    Module 8, lesson 1

  • Stripe subscription checklist

    stripe-integration-checklist.md

    A sandbox-to-live checklist for Checkout, verified webhooks, plan syncing, the customer portal, failed payments and test clocks, with code checked against stripe-node 23.

    Module 8, lesson 2

  • SaaS metrics tracker

    saas-metrics-tracker.csv

    A monthly spreadsheet that calculates MRR, churn, net revenue retention, gross margin, CAC, LTV, payback and activation, with a cohort retention table underneath.

    Module 8, lesson 4

06 · The implementation map

A roadmap, not a promise.

Suggested milestones for planning your implementation. Timing and results vary.

  1. Weeks 1 to 2

    Pick and Validate

    • Problem chosen
    • Demand tested with real people
    • Stack chosen
  2. Weeks 3 to 4

    Data and Auth

    • Schema designed
    • Row Level Security on
    • Auth working
  3. Weeks 5 to 6

    Core AI Feature

    • Claude feature built
    • Costs measured
    • Errors handled
  4. Weeks 7 to 8

    Ship It

    • Deployed on Vercel
    • Domain and analytics live
  5. Weeks 9 to 10

    Launch

    • Landing page live
    • Launch plan run
    • First users onboarded
  6. Weeks 11 to 12

    Charge and Measure

    • Pricing chosen
    • Stripe billing live
    • Metrics tracked
07 · What you need

Prerequisites, honestly.

The actual stack and the actual time. No "you'll need nothing" lies.

◷
A weekly build block
Plan regular time to build and test; how long it takes depends on your experience and the product.
⌘
Developer accounts
GitHub, Supabase, Vercel, an Anthropic API key and later Stripe. Free tiers cover learning; commercial hosting and API calls cost money.
△
Basic JavaScript
optional
Helpful but not required: the lessons explain the code, and you will still read, run and debug it.
◯
A problem worth solving
A specific user and problem you can reach and talk to before and after you build.
08 · Honest framing

What it will do. What it won't.

It will

Provide a structured curriculum for validating, building, launching and charging for an AI SaaS product on a current stack, with code walkthroughs and checklists for each stage.

It won't
Won't guarantee revenue.
Results depend on the problem you pick, execution, pricing and the market.
Won't replace legal, security or tax advice.
Privacy law, AI disclosure rules, payments and taxes depend on where you and your users are.
Won't let AI ship unattended.
Claude Code and Cursor speed you up, but you still review, test and own the code.
Won't pick your idea for you.
The course gives you a validation method; the problem and the users are yours to choose.

AI SaaS Profit Simulator, included with All-Access.

Model token prices, requests per user, plans and churn, and see month-by-month MRR, gross margin per plan and what your heaviest users cost you, before you build.

  • Per-request cost from model token prices
  • Margin per plan, including your heaviest user
  • MRR, churn and customer count over 24 months
  • Fixed costs and payment fees
  • Break-even customer count
Open the tool
Sample output from example inputs. Members run it on their own numbers.
Anyro, founder of iimagined.ai
Anyro · founderMelbourne

Meet Anyro, the founder.

Anyro is the founder of IImagined.ai and teaches Instagram growth, AI influencers, digital products and building AI SaaS products. IImagined.ai was founded in 2024 to teach an interconnected system for creator growth, digital products and AI-built software.

Read the full story →

Pick how you pay. Get everything.

Both plans open the same thing: all 4 premium courses, the members-only tools, weekly coaching and the community. The courses are not sold one by one.

Monthly

$99/ month

Billed monthly. Cancel anytime.

What you get
  • Instagram Ignited
  • AI Influencers
  • Digital Products
  • AI SaaS Builder
  • Futures Trading course (bonus)
  • Members-only tools
  • Weekly live coaching calls
  • Members-only Discord and the Whop community
  • Every course's resource vault
All-Access, monthly$99/month
Start monthly

Yearly

Best value
$890/ year

Works out at $74.17 a month. You save $298 (25%) against 12 months at $99.

Everything in Monthly: all 4 premium courses, the Futures course, members-only tools, weekly coaching, the community and every vault.

All-Access, yearly$890/year
Start yearly · $890

30-day money-back guarantee on every plan. Cancel anytime; access runs to the end of the period you paid for.

09 · Common questions

What you'd ask before wiring funds.

If your question is not listed, email anyro@iimagined.ai.

All-Access · cancel anytime

Start the work.

AI SaaS Builder and the other 3 courses, weekly coaching and the community for $99/month. 30-day money-back guarantee.