B2B SaaS App Builds · Fixed Price, 8 Weeks · PM & Engineers Included
React 18 / TypeScript frontend. Laravel or Node.js backend. PostgreSQL. AI features with OpenAI, LangChain, and custom models. Every sprint includes PM, a senior engineer, and instrumentation from day one — so you know whether what shipped is actually working. You review milestones. You don't manage the process, chase the deadline, or hire a single developer. Built for ambitious founders who need to move fast.
First sprint money-back guaranteed. Feature Sprints $15K–$28K (first sprint covered) · App Builds $45K–$90K (first 2 sprints covered) · Miss scope? We finish free. Start with Sprint Zero — $2,500, 2 weeks, money-back.
The Build & Ship System
Feature Sprints $15K–$28K · App Builds $45K–$90K. Scoped, quoted, and signed before a line of code is written. No hourly billing. No surprise overruns.
Sprint Zero — money-back if the spec doesn't deliver. Feature Sprint — first sprint on us if we miss scope. App Build — first 2 sprints on us. Written into every engagement.
Product manager, senior engineers, React/TypeScript frontend, Laravel/Node backend, PostgreSQL, analytics instrumentation, and a full documentation handover. All in one team. All fixed price.
Book a free scoping call →What We Build
Every sprint is fixed-scope with a clear outcome. Pick the category that matches your build — or book a call and we’ll scope it together.
When the product lives in a browser — whether that’s a customer-facing SaaS app, an internal operations dashboard, or a B2B portal your clients log into.
When your product needs to live on a phone — whether that’s a native experience, a React Native cross-platform build, or a mobile-first web app.
When you need the infrastructure behind the interface — APIs, microservices, third-party integrations, or the data layer that everything else depends on.
When the roadmap calls for an AI feature, an LLM integration, or a machine learning model that ships as a real product capability — not a demo.
When you’re building something new and you want the data layer right from the start — not retrofitted six months later after you’ve lost the early signal.
Why We Build It Differently
We bring the full stack: product strategy, analytics instrumentation, design, AI, development, and business operations — all running AI-first workflows that ship on a cadence that moves your roadmap forward.
Product strategy is the starting point — not the afterthought. We classify your product across 10 structural dimensions (value delivery model, growth motion, buyer-user gap, activation complexity) to identify which strategies are structurally viable for your business. Every build decision flows from this analysis.
Strategy that matches your product's structural reality — not borrowed playbooks
Slack's PLG worked because of Slack's structural DNA. Copying the playbook without the structure is how teams spend quarters on strategies their product was never built to support.
We instrument everything before it ships. PostHog, Amplitude, Mixpanel — we set up the tracking, build the dashboards, and run the statistical tests. When an experiment finishes, you know whether it worked within days, not quarters. Every metric is tied to a business outcome.
You know what's working within days — not when someone checks a quarterly report
We run 8 experiments per month where most teams run 1-2. That's 8x the learning compressed into the same calendar month.
Design decisions that can't be tied to a metric aren't design decisions — they're opinions with a budget. We design onboarding flows, activation paths, conversion pages, and product UX with measurement built in from the start. Every design choice has a hypothesis behind it and a way to validate it.
Every screen ships with a hypothesis — and gets validated against real data
We don't hand you mockups and walk away. We design, build, instrument, ship, and measure — then iterate based on what the data says.
We run AI-first workflows internally — Claude for code generation, automated testing, self-healing error triage, AI-powered code review. This isn't theoretical. We deploy 3-8 production changes per day using the same harness engineering model we implement for clients. AI as the primary builder, humans as architects and validators.
AI-first means redesigning the process — not bolting ChatGPT onto your existing workflow
AI-assisted gets you 10-20% faster. AI-first — redesigning planning, building, testing, and deployment around AI — gets you 10x faster.
We ship weekly, not quarterly. Monorepo architecture, automated CI/CD, feature flags for gradual rollout, and AI-generated test suites. Every feature goes through a 6-phase pipeline: verify, build dev, test dev, deploy prod, test prod, release. Your team inherits this velocity when we hand over.
Your org ships weekly — because we restructure for velocity, not just add engineers
The bottleneck is almost never "we need more developers." It's fragmented code, manual testing, missing feature flags, and synchronous decision-making. We fix the system, not just the symptoms.
Growth strategy without operational execution is a slide deck. We restructure the operational layer — how decisions get made, how data flows between teams, how experiments get approved and shipped — so your organisation can actually execute at the speed your strategy requires.
Your org stops being the bottleneck between strategy and execution
Right now: 1 experiment/month = 1 month of learning. After restructuring: 8 experiments/month = 8 months of learning compressed into one.
The Real Cost of Building Software
If that quote hits, you're not alone. Here's what we hear from founders every week — and what it actually costs to leave it unaddressed.
"I can't find developers I trust. The ones I find go silent for weeks."
You've tried Upwork, Toptal, and founder-referred freelancers. Every time it's the same cycle: strong start, slow delivery, vanishing communication. Meanwhile your runway burns and your competitors ship.
"My CTO is drowning and my backlog is growing."
Your technical lead is stretched across architecture, hiring, code review, incident response, and the quarterly board deck. The feature that would actually move your retention metric has been "next quarter" for 3 quarters straight.
"I'm managing developers instead of building my business."
Every spec gap, every edge case, every "is this what you meant?" costs you time and focus. You're writing tickets at midnight when you should be closing customers. The dev shop gave you engineers — they didn't give you a product manager.
"The feature shipped. I have no idea if it's working."
No analytics. No dashboard. No way to tell whether the thing you spent $25K building moved a single metric. Your board asks "what's the impact?" and your best answer is "we're monitoring it." Six weeks of silence while you wait for someone to build the report you should have had on day one.
From that to this in 8 weeks.
You stop being the PM, the QA team, and the escalation point. You review milestones once a week. You focus on your business again.
Analytics instrumentation is in the spec — not retrofitted 6 weeks after launch. You can see from day one whether the feature is moving the metric it was built to move.
Fixed price. Written scope. If we miss the agreed delivery, we finish free. No billing surprises, no "we need 3 more weeks and another $15K" phone call.
Three Ways to Build
If the first sprint doesn't deliver the agreed outcome, you don't pay. That's how confident we are that the spec + build + instrumentation model works. Pick the engagement that fits your scope. We take on 3 new clients per month.
One feature. Designed, built, and shipped in 6–8 weeks. You describe the outcome — we scope it, spec it, build it, and ship it at a fixed price.
Your Team
1 Product Lead + 1 Designer + 2 Full-Stack Developers
Your outcome: Feature lives in production, instrumented from launch. Money-back guarantee: first sprint — if the agreed scope isn't delivered, the full $15K–$28K is on us. Not a credit — a refund.
A product — or a significant rebuild — delivered to production. Scoped, staffed, and delivered at a fixed price with full documentation and handover.
Your Team
1 PM + 1 Lead Designer + 3–4 Full-Stack Developers
Your outcome: Live product with docs + team training. Money-back guarantee: first 2 sprints scoped and agreed — if not delivered, the full $45K–$90K is on us.
Developers working alongside your team — or running the full build independently. You direct the work. We own the delivery quality and bring the product thinking.
Your Team
N developers (your call) + Product hours included
Your outcome: Flexible, scalable capacity — pause anytime. Money-back guarantee: first 2 sprints scoped and agreed — if not delivered, the full amount is on us.
Not ready for a full sprint? Sprint Zero — 2-week diagnostic, full build blueprint, $2,500. Same money-back guarantee: if the spec doesn't give you a clear build path, you don't pay. Learn more →
You don't manage the PM separately from the dev. We bring both — so what gets built is what was needed, and you're not the coordination layer.
Every sprint includes instrumentation. You can see immediately if the feature is moving the metric it was built to move. No guessing a quarter later.
Design and copywriting partners embedded at sprint planning — no sourcing overhead on your side.
The same team builds AI features when you're ready. No agency-hopping when your product needs an intelligence layer added to what we've already built.
What We Cover
The biggest driver of expensive rework isn't bad code — it's a brief that was never quite right. We run a structured scoping call before anything gets estimated. You leave knowing exactly what's being built, why, and what success looks like — before you commit to a single dollar.
A clear scope before a line of code is written
Most sprints go wrong at the brief. We fix that first — so what gets built is what was needed, not what was easiest to estimate.
Developers build what the spec says. If the spec is vague, the output is vague. We write the feature spec — user flows, edge cases, acceptance criteria — so your team isn't making judgment calls in the middle of a sprint that should have been made at the start.
A spec that prevents rework — not one that causes it
A week of spec work prevents three weeks of rework. We write it, own it, and don't start the sprint until you've approved it.
Milestone-based delivery means you never have a big reveal at the end. Working code at each stage. You review it, you approve it, and the next stage starts from a foundation you've already seen. No surprises. No "that's not what I meant" six weeks in.
Features that ship on time because the spec was right
Delivery quality is a function of how well the sprint was set up. We invest in the setup — so the build runs clean.
A feature that ships without measurement is a feature you can't defend. We build analytics instrumentation into every sprint — not as an afterthought, but as part of the spec. You can see from day one whether what shipped is moving the metric it was built to move.
You know from launch whether the feature is working
Most teams add analytics three months after launch when someone asks if the feature worked. We add it to the spec on day one.
Your internal team has a roadmap and a backlog that keeps growing. The embedded team model lets us run parallel — picking up the features that keep getting pushed, without disrupting what's already in progress. Product management hours included. You direct the work, not the team.
A parallel build lane that doesn't disrupt your internal team
Most founders start here — one feature, one sprint, see how the relationship works — before moving to a fixed-price build.
When we're done, your team owns it. Not just the code — the documentation, the instrumentation, the monitoring setup, and a walkthrough session so nobody is dependent on us to keep it running. Handover is a deliverable, not a formality.
Your team owns it from day one — no dependency on us
We build to hand over, not to retain. Documentation and monitoring are part of every sprint by default — so you're never calling us to fix something you don't understand.
More devs without a PM means you ship faster — and ship the wrong things.
The dev shop model gives you execution speed on whatever the brief says. The problem is the brief — who writes it, who owns it, who catches the edge cases before they become expensive rework.
We connect the build to the outcome. What ships is what was needed — and you can measure it immediately.
From Call to Shipped
You tell us what needs to be built. We identify the scope, estimate the complexity, and give you a fixed price or an hourly structure — before you commit to anything.
We write the spec, design the flows, and build against your actual tech stack. Regular milestone reviews. You approve the output at each stage — you're never surprised by what arrives.
Live in production with measurement in place. You can see immediately if the feature is working. If you want to keep going, the team is already up to speed — no ramp-up for the next sprint.
Who This Is For
Why This Works
Every objection you have about hiring an external team — we've built the answer into how we work. Not as assurances. As contractual terms written into every engagement.
Fixed price, written scope, milestone-based delivery. Feature Sprint: first sprint on us if we miss. App Build: first 2 sprints on us. After that, the relationship is proven — you're not worried anymore.
PM included. We write the spec, run the standups, catch scope drift, and keep you updated. You review milestones once a week. You don't manage the team — you approve the output.
Every sprint includes analytics instrumentation live from launch. You can see immediately whether the feature moved the metric it was built to move. No guessing, no waiting for a retrospective report.
Full documentation, monitored dashboards, and a walkthrough session. Your team owns the code, the infrastructure, and the analytics from day one. No dependency on us to keep it running.
Who You’re Working With
No account managers, no junior handoffs. Every sprint is run by senior engineers who own the outcome — from scoping through to production handover.
I'm Jake. 8+ years in B2B SaaS product and growth — not as a developer shipping features, but as the person accountable for whether those features moved the business. I've scoped, staffed, and delivered product sprints across healthtech, adtech, edtech, and B2B tools. I know the difference between a well-built spec and one that creates expensive rework at week four.
I started ProductQuant because I kept seeing the same problem: founders and PMs managing dev shops with no product thinking in the team. Engineers shipped exactly what the brief said. The brief was wrong. Nobody caught it until the feature was live and the metrics didn't move.
10+ years building backend systems, APIs, and data pipelines. Specialises in PHP, Node.js, React, and complex architecture — from canvas editors with 16-handler orchestration to AI-powered product extraction pipelines that turn any retailer URL into structured product data in one click.
7+ years shipping distributed systems and AI-integrated applications. Technical team lead with deep experience in Node.js, TypeScript, C#/.NET, and LangChain/LangGraph. Has built real-time voice+vision assistants, GPT-powered publishing engines, and museum AI agents with SSE streaming.
Each developer ships with documented code, tested integrations, and a build you can verify independently.
See what they've built →Common Questions
Feature Sprints $15K–$28K, App Builds $45K–$90K — fixed price, written scope, milestone-based delivery. If the first sprint doesn't hit the agreed outcome, it's on us. Also available: Sprint Zero, a 2-week diagnostic for $2,500.
First sprint: money-back guaranteed. Full build: finish-free if we miss scope. Written into your contract.