Most startup engineering problems aren’t new.

The pattern may be familiar, but the business stakes are specific to your company. I help founders, senior executives, investors and engineering leaders understand what is really happening, what it means for the business and what to do next.

Tell me the problem

Start with the signal

What you can seeWhat may be underneathFirst question
Busy engineersWork is too broadWhat can be made smaller?
Slow deliveryA bottleneck elsewhereWhat is actually holding work up?
Big technology betCost of being wrongWhat gets expensive if we’re wrong?
Uneven AI useUneven team adoptionIs the whole team getting better?
Scaling painsRoles or structureWhat does the next stage require?

You don’t need a perfect brief.

Send a few lines about what you’re seeing, what changed and the decision or outcome at stake.

  1. Start with the signalDescribe the visible problem and why it matters now.
  2. Find the causeUse the first conversation to understand what is really limiting progress and which trade-offs matter.
  3. Make the next step clearLeave with a better view of the problem and the next decision.

I’ve actually done the job.

I’ve written the code, designed systems, hired teams, managed performance, changed team structures, dealt with technical debt, missed deadlines, shipped products and sat in leadership meetings trying to work out what to do next.

Software engineer Founder & CTO Consumer technology CTO YC-backed Head of Engineering Engineering leader working with AI

About Dan and The Startup CTO

How I can help

Bring the decision or problem that matters. We’ll work out what is happening, explain the business and technical trade-offs, and make the next step clear.

Advisory

Regular access for founders, senior executives, investors, advisors and engineering leaders who want an experienced second opinion on important decisions and difficult problems.

Call me before you make the expensive decision.

Focused reviews

An independent review of a specific problem, leaving you with a plain-English explanation, the important evidence and a practical plan. The work can cover AI adoption, team health, delivery, organisation, technology strategy or hiring.

Deeper work

For unusually strong-fit, limited-scope or future opportunities, tell me what you need. Deeper work starts with a conversation, not a standard package.

Is AI making this engineering team measurably better?

The flagship AI Engineering Review turns scattered use into a practical plan: how work should change, where risk sits, what leaders need to enable and how progress will be measured.

Discuss the AI Engineering Review
  1. Understand todaySee how the team uses AI now and where it could make a meaningful difference.
  2. Create the conditionsSet practical boundaries, support the team and spread effective ways of working.
  3. Measure and moveTrack outcomes that matter and sequence a practical 90-day plan.

How I think about engineering teams

Teams should understand why the work matters, own the outcome, maintain high standards and avoid unnecessary process. These are strong defaults, applied with judgement.

  1. Give engineers the problem, not just the ticket.
  2. Making work smaller is the easiest lever for speed.
  3. Clear boundaries create speed.
Read all eight engineering principles

Tell me what you’re seeing.

A few honest lines are enough. We can work out the shape of the problem together.