01 · MVP Sprint
0 → live product
Take a founder idea to a real, paying-ready SaaS. Auth, billing, core workflow, deployed on production infra. You launch, not prototype.
4–6 weeks · from $25k
Skylance LLC · AI-native studio
Production software, shipped in weeks — not quarters.
Skylance is a one-person, AI-native software studio. I take founder ideas, stalled roadmaps, and rescue jobs — and put them in production. Fixed price. Weekly demos. Yours to own.
Solo · production
Ship real systems, not slide decks
US LLC · USD invoicing
Registered in the United States
Weeks, not quarters
AI-native delivery velocity
What I do
Three ways to work — all fixed price.
No hourly rates. No junior/senior tiers. You pay for outcomes and calendar time.
02 · Rescue & Ship
Un-stall a codebase
Inherited a mess from an agency or ex-team? I audit, stabilize, and ship the next release. Tests, CI, and a clean handoff — not a rewrite.
2–4 weeks · from $15k
03 · Fractional PE
Embedded engineer
Act as your part-time product engineer. Weekly output, roadmap ownership, direct Slack channel. Senior throughput without a full-time hire.
Monthly · from $12k/mo
Productized services
Fixed scope. Fixed price. Ship next Friday.
Standardized modules I can drop into any codebase — the moat that separates studio work from generic contracting.
Service
What you get
Timeline
From
Auth & user system
Email + OAuth, roles, RLS, audit log
1 wk
$6k
Workflow engine
Multi-step form, state machine, notifications
1–2 wk
$10k
Admin dashboard
Data table, filters, exports, permissioning
1 wk
$6k
AI feature drop-in
LLM chat, RAG, structured output, evals
2 wk
$12k
Deploy & harden
CI/CD, observability, security review, SLOs
3–5 d
$5k
Why AI-native
The premium is the workflow.
01
AI-native throughput
I use agents, codegen, and evals as a core part of my toolchain. That's why one person can ship what used to take a squad — and why the timelines above are real, not aspirational.
02
Transparent about it
I don't hide the workflow. You'll see the prompts, the diffs, the tests. Publicly running an AI-native studio isn't a liability — priced correctly, it's the premium.
03
Real engineering, not vibes
Types, tests, migrations, observability, threat modeling. AI accelerates the work — it doesn't replace the discipline. That's the line between shipping and shipping-then-paging.
Selected work
Three products I've shipped to production.
Enterprise workflow, security infrastructure, and AI agents — each built solo, end to end. Click any card for the full breakdown.
Enterprise platform · client project
Field-safety compliance platform
Production workflow + training for a public-sector field-safety operation — versioned JSON approvals, dual-layer RBAC, training/exams, and migration fences that refuse silent mocks.
JSON workflowsRBACStrangler migration
Read the breakdown →
Security SaaS · Skylance product
EASM — attack-surface management
A security-grade, multi-tenant SaaS that continuously discovers internet-facing assets, scans them, and turns findings into client-ready reports — on a real microservice backend.
FastAPICeleryPostgreSQL
Read the breakdown →
AI product · self-built
AI-native trading-analysis workstation
Data-governed multi-source pipelines plus production agents: owned memory, PreToolUse workspace isolation, multi-provider routing, and realtime + batch research under one roof.
Data governanceAgent isolationMulti-provider LLM
Read the breakdown →
Who you're working with
One person. Direct line.
No account managers, no offshore team you never meet. You talk to the person designing and writing your product.
I'm a product engineer, not just a coder — one person covering what's normally a PM, a designer, and a dev team. You don't need to hand me a finished spec: bring the problem, and I take it from product thinking through design to shipped code. That's why the timelines are weeks, not quarters — and why nothing gets lost in translation between "design" and "dev."
01
Product & user thinking
I start from your users and business goals, not a ticket queue. Bring a fuzzy problem — I'll challenge scope, cut what doesn't matter, and shape a spec worth building.
02
UI/UX design, in-house
Information architecture, interaction flows, and visual polish are mine too — no designer handoff. The weekly demo is designed and built by the same person.
03
Engineering that closes the loop
From data model and API to CI and deploy, I write, test, and ship the code myself. What's designed is exactly what goes live.
Where I work bestEnterprise SaaS platformsFinancial analysis & research toolsEnterprise AI agent systems
Milestone payments
50% to start, 50% on delivery. You never float the whole project — and every week, you get something real you could take and run with.
Working demo every week
No dark-room agency months. You see a running deploy each week, so progress is something you can click, not a status slide.
You own everything
Code, docs, CI, and infrastructure are handed off clean and are yours outright. No lock-in, no per-seat license, no hostage codebase.
How it works
Four steps from intro to launch.
01
Check fit & book a time
Choose a 15-minute intro time, then answer three quick questions about what you're shipping, when it needs to be live, and your approved budget.
02
Written quote in 48 hours
Fixed price, fixed scope, honest tradeoffs. Reply if it fits.
03
Ship weekly, demo weekly
You get a working deploy every week. No dark-room agency months.
04
Launch & hand off
Docs, CI, monitoring, and a clean codebase you actually own.
FAQ
The questions worth asking.
Contracts, IP, timezone, and what happens when things change — answered before the call, so the call is about your product.
Let's ship something
You have a deadline. I have a workflow.
Three quick questions start it. If there's a fit, we'll use one short call to confirm scope — then you'll get a written quote within 48 hours.