You're building fast. Product iteration cycles are weekly. Revenue is growing. But as you scale, new questions emerge: Is our architecture built for 10x growth? Are we choosing the right technology decisions? How do we avoid common scaling traps? Get strategic guidance from someone who has navigated these exact challenges.
The constraints that made sense at product-market fit become friction at growth stage. Here's what we typically hear.
Specific guidance tailored to the SaaS founder journey, from product architecture to team scaling.
Ensure your technology stack and architecture support rapid iteration without becoming a bottleneck as you scale to new customer cohorts.
Define a growth-ready technology strategy that scales from 10K to 100K+ users without complete rebuilds. Database, caching, CDN, and infrastructure optimization.
Navigate the AI landscape with clarity. Identify high-impact use cases in your product, build vs. integrate strategy, and differentiation through AI.
Reduce cloud spend without quality trade-offs. Analyze your infrastructure, right-size instances, optimize data storage, and implement cost controls.
Establish best practices as your team grows. Code review processes, testing strategy, documentation, and development velocity without losing speed.
Identify technical debt before it becomes a crisis. Modernization strategy that doesn't stall product development and maintains team velocity.
What founders typically see from advisory engagements.
Average infrastructure cost reduction after optimization audit
Time savings from architecture planning vs. costly redesigns
Faster product scaling with right technical foundation
We understand your business model, growth stage, team, technical challenges, and strategic priorities. This defines the engagement scope.
Architecture review, code audit, infrastructure assessment, team interviews. We identify the real constraints and opportunities.
Clear roadmap with prioritized recommendations. 50% upfront payment secures the engagement. Balance due upon delivery of recommendations and implementation guidance.
Optional ongoing support. Quarterly check-ins, escalation support during implementation, and course corrections as priorities evolve.
There is no minimum stage. We work with pre-revenue founders validating technical architecture before they write a line of code, and with Series B companies scaling to millions of users. The common thread is a founder who wants to make technology decisions with confidence rather than guesswork. Pre-seed typically means architecture planning and CTO recruitment. Series A means scaling systems and team structure. Series B and beyond means optimization, cost control, and preparing for enterprise clients.
A strong full-time CTO costs $250K-$400K annually in the US when you factor in salary, equity, and benefits. Our Fractional CTO engagement gives you senior-level technology leadership at a fraction of that cost, typically $3K-$5K per month. You get strategic thinking, vendor evaluation, team mentorship, and architecture oversight without the overhead. Most founder clients start fractional and transition to a full-time hire when the business justifies it. We often help with that hiring process too.
The first two weeks involve a comprehensive technology audit covering your current stack, team capabilities, technical debt, and security posture. We then deliver a prioritized roadmap. From there, engagement is ongoing: weekly strategy calls, async support via Slack or email, participation in key vendor meetings, code review oversight, and hiring support. Most clients use 8-12 hours per month.
Yes. Technical due diligence is one of the most common reasons deals fall apart or valuations get cut. We prepare companies for investor scrutiny by auditing architecture scalability, documenting technical decisions, cleaning up security and compliance gaps, and creating investor-ready technical documentation. We have worked with over 50 companies preparing for Series A through Series C rounds.
Absolutely. Some of our most impactful work happens before revenue, when the cost of a wrong technology decision is lowest but the long-term consequences are highest. Pre-revenue engagements typically focus on stack selection, MVP architecture, build-vs-buy decisions, and finding the right early technical hires.
Book a 45-minute discovery call. We'll discuss your specific situation and explore how advisory could accelerate your path to scale.