Full-stack AI SaaS products from first commit to first paying customer. Modern web stacks (Next.js, Postgres, TypeScript), AI baked in from day one, subscription billing and admin dashboards shipped by default. No throwaway prototypes; the codebase you launch is the codebase you scale.
Every AI SaaS build ships with the boring stuff that most agencies leave to you: auth, billing, admin, observability, docs. So the launch date on the calendar is the launch date that actually happens.
One-week sprint zero. What the product does, who it's for, which AI capabilities do the heavy lifting, what data it needs, how it scales. Fixed scope and fixed timeline before any code.
Modern stack that scales: Next.js 15 + TypeScript + Postgres + Tailwind + shadcn. Deployed to Vercel, AWS, or Fly. React Native or Expo if mobile is in scope. Weekly demos on Fridays; you use what we ship and steer.
OpenAI, Claude, Gemini, or an open-source model — whichever fits the task and your cost profile. Vector search, RAG, fine-tuning, agent orchestration; whatever the product needs. Cost + latency guardrails built in so features stay usable at scale.
The stuff every SaaS needs but no founder wants to build. Passwordless auth (Clerk / Auth0), Stripe / Chargebee billing with prorations, roles & permissions, admin dashboard, invite flows. Configured, tested, done.
Sentry + PostHog + Datadog + PagerDuty wired from day one. Logs you can grep, metrics you can graph, alerts that fire when they should. SOC2-ready patterns baked in (audit trails, encryption, access control) so enterprise deals aren't a rewrite.
No twelve-month waterfall, no half-finished v0.1 that never ships. A short sprint zero, weekly demos, first paying customer inside two months.
We spend the first week writing, not coding. What the product does, who uses it, what data it needs, which AI capabilities matter, how it scales. Come out with a fixed scope and a fixed launch date before any code exists.
Weekly demos on Fridays. You use what we shipped and tell us what's wrong. Scope changes handled via swap-out — trade any feature for any feature of comparable size. No change orders, no timeline slip.
Ship to 10-50 hand-picked users. Instrument every session, fix every bug, tune the AI features against real usage. Two-week beta on payment for anyone who wants to skip the queue.
Product Hunt, Hacker News, your list. Billing live, admin console handed to your team, runbooks handed to your on-call. Launch-week support included.
Bug fixes, small features, monthly cadence. Or take the codebase and extend in-house — everything is yours. Most founders keep us on a lightweight retainer for the AI-specific work while their team owns the rest.
We commit to a written scope and launch date at the end of Week 1. If we miss the launch date on the agreed scope, every hour after that is on us until the product ships.
Written into the contract. No small print, no clawback games.
The proof isn’t in the pitch deck. It’s in what shipped and what changed.
“They built our SaaS MVP in just 4 weeks and we had paying customers within the first month. The subscription billing and admin dashboard worked flawlessly from day one.”
“Our mobile app hit 50K downloads in the first quarter. The native experience and push notifications drove incredible retention rates we never expected.”
Real engagements, real constraints, real numbers. The full write-ups live in the case studies.
A subscription-ready mobile app turning any set of ingredients into a personalized cocktail recipe. Built end-to-end with FlutterFlow, Firebase, and GPT-4o.
A two-sided marketplace where AI creators share, sell, and discover prompts. Personalized feeds, real-time messaging, secure payments, and a premium subscription tier. All custom-built.
The ones founders and operators ask before we sign. Don’t see yours?
Ask on a discovery callMost dev shops build features. We build products. That means the boring stuff you need for a real SaaS (auth, billing, observability, admin, docs) gets shipped with the same care as the AI features. Same monthly cost as a mid-tier shop; you get a launched product, not a codebase-shaped liability.
Next.js + TypeScript + Postgres + Tailwind is the default and covers 90% of AI SaaS use cases. React Native / Expo for mobile. FastAPI or Rust for heavy backends. shadcn + Radix for UI. We'll match whatever your team can maintain long-term.
Both. Sprint zero includes an honest conversation about which AI capabilities actually earn their cost. We've seen enough AI SaaS launches to spot the features that sound impressive but don't drive retention. If you want a co-founder-style thinking partner, that's what week 1 is for.
It always does. We use a swap-out mechanism: any feature in the current sprint can be traded for any feature of comparable size. No change orders, no scope creep, no timeline slip.
Yes. Repo transfers to your GitHub org on day one. Infra deploys to your cloud accounts. If you fire us tomorrow, everything keeps running and your team can extend it.
One-time fixed build fee based on scope confirmed in Week 1. Optional monthly retainer after launch for maintenance, small features, and AI-specific work. Every engagement pays for itself inside six months on customer LTV alone.
Book a free consultation. We'll pressure-test the idea on the call and tell you honestly whether the timeline in your head matches the timeline it actually needs.