Early-stage SaaS teams make hard technical calls every week. We give your founding team a principal engineer to call for AI strategy, architecture, security, and decisions that are expensive to reverse, through a flexible advisory engagement.
working sessions + async access · scoped to your stage · remote
founders, CTOs, small teams
working sessions + async
AI · architecture · security
recurring, scoped to you
A principal-level, AI-native peer who helps your CTO move the whole team faster and make hard decisions with more confidence.
AI that survives contact with your codebase
Where AI actually fits your product, which models and tools to bet on, and what to build versus buy. Grounded in daily work shipping AI products.
Architecture and stack reviews
Second opinions on the decisions that are expensive to reverse: data model, infrastructure, scaling path, cost structure. We run our own SaaS on a lean modern stack and share what works.
Small-team leverage with AI tooling
Getting a team of three to ship like a team of ten: agent workflows, AI-assisted code review, and the conventions that keep quality up while speed goes up.
Security posture for enterprise deals
When the security questionnaire lands, you want answers. We help you get ahead of it, and our AI security review covers the codebase itself.
Hiring and team shape
When to hire, what to hire, and how to interview for it. What roles AI leverage changes, and which early hires you can now defer.
A senior ear for the hard calls
Build-versus-buy, technical debt, rewrite-or-refactor, make-or-break launches. Decisions that are lonely at a small company, talked through with someone who has made them before.
We scope a simple recurring engagement together and adjust it as your startup changes.
Discovery call
We meet your team, hear what you’re building, and identify where a senior outside engineer can help most. You leave with a clear next step.
Scope the engagement
Together we pick the focus areas and cadence: regular working sessions plus async access in between, sized to your stage.
Work the problems
Real sessions on real decisions: architecture on the whiteboard, AI workflows in the codebase, security ahead of the enterprise deal. We adjust as priorities shift.
Curtis has spent 20+ years building production systems and has sat in your seat: CTO, VP of Engineering, and VP of Product at venture-backed startups, from first commit through scale.
Today he runs Deep Noodle, shipping its own SaaS and agent infrastructure products with AI-native workflows. The advice comes from decisions he is making right now.
CTO, VP Engineering, and VP Product at venture-backed startups
Builds and runs SaaS products today: same decisions, own money
Ships with frontier AI models and agent tooling every day
Runs AI-accelerated security reviews for client codebases
Open-source maintainer (Dive, Risor, Wonton) with 1,000+ GitHub stars
// for early-stage saas teams
Book a call, tell us what you’re building, and we’ll identify where we can help most and the best next step for your team.