Something broke. Real users are affected. Let's fix it now.
Not a process. Not a sprint. The specific thing that's wrong, made right.
You have paying customers. Something stopped working and you know it. Stripe is double-charging. Someone saw data that wasn't theirs. A query that handled 500 rows fine is timing out at 50,000. The app is throwing errors you don't recognize and you don't know where to start. This isn't the time for an audit or a readiness review. This is the time to fix the specific thing that's wrong. I spent 1.5 years on a team where broken code meant immediate revenue loss. You learn fast what matters and what can wait. I've seen enough production systems break in enough different ways that I usually know where to look first. That matters when something is actively affecting users and every hour counts.
Based in
Los Angeles, CA
Best for
Live pain: money, data, or users blocked right now.
Outcome
Fix plus plain English on cause and change.
- You tell me what's broken. I look at the code, reproduce the problem, find the root cause, and fix it. Not patch it - fix it. Then I tell you what caused it and what I changed, so you understand what happened and it doesn't happen the same way again.
- A fixed problem and a clear explanation of what caused it and what changed. No long reports, no process overhead. Just the thing that was wrong, made right.
- If the problem is really a pre-launch hardening pass with no active user pain, I'd point you at the Launch Readiness Sprint instead.
- Now. If something is broken in production and real users are affected, this is the one. Email me today.
- If nothing is broken yet but you want to make sure it won't be - that's the Launch Readiness Sprint.
If it is not actually on fire, say so - I'll still reply, but the shape of help might be the sprint instead of a rescue.
$75/h or fixed after I understand the scope. I won't give you a number before I know what I'm looking at. Most rescues are 1-3 days depending on how deep the root cause runs.
Dotty
Pre-launch pass where the scary gaps were double-charge risk on Checkout, numbering races, and dates slipping a day in Pacific time.
View case study →FunnelScout
Live SaaS where spend, jobs, and tenant data all had to stay sane once people actually used it.
View case study →Let's talkEmail me at [email protected] and tell me what's happening. I'll get back to you today.