Founders following the Lean Startup methodology rightly “do unscalable things” to get to scale.  Brian Chesky and Joe Gebbia personally photographed Airbnb apartments. Pierre Omidyar  wrote the eBay core code over dinner to help his fiancee find Pez dispensers. The founders of  DoorDash spent months doing their own deliveries just to get feedback from customers.

When your startup reaches certain maturity thresholds, it’s time to take stock of what you’ve  accomplished and set up properly for the future. Part of that accounting is putting in the effort  to truly understand the power and limitations of your technology and technical team.

Over a 72 hr period, we will liaise with your business and engineering principals, conduct code  reviews, and interview technical talent at each level of the hierarchy. The goal is not to  determine whether the code is “good or bad.” We’re here to add unique information to the  strategic picture and help you plan for the future.


1. Org analysis

A useful tech audit starts with a thorough understanding of where engineering fits into  the organization, and what that organization’s goals are. After going through an org chart  with the CEO, we meet with the CTO to understand their philosophy on hiring, managing,  and driving results from smart creatives. We collaboratively build a schedule, picking the  key individual collaborators to interview and setting common-sense boundaries on code  review. This process builds trust and reveals deeper learnings than the typical  adversarial approach.

2. Code review

Tech audits often frustrate teams because the wrong talent is used. We don’t throw full  stack generalists or junior talent at audits. All Brandt tech audits are executed by a  CTO-quality engineer hand-picked for the tech stack they’ll be encountering. Code review  encompasses .git contributions, server side setup, application development, and  documentation. We meet with engineers from every stratum of the organization to learn  about their experience at the company, and deduce useful data on recruiting and people  development. We repeat the process in multiple silos to disambiguate our data and build  a picture of what it’s like to develop software inside this organization.

3. Contextualization

Much of the value of any tech audit comes from placing it in the context of the goals of  the organization rather than simply labeling the code “good” or “bad.” For example: is  your mental model of the technical talent and assets in your organization correct? Is  your roadmap/timeline feasible given the condition of the code and current product  team? If you attract investment, can new hires be made to accelerate development? Or  would the code be impossible for outsiders to work on in the near term due to lack of proper commenting and documentation? Are your beliefs in agile process being  reflected in the way your team operates day-to-day?


Clayton Kim

Clayton Kim

Senior Expert

Data Science & machine learning expert, with experience building machine learning solutions with companies ranging from small startups to Fortune 500. Currently overseeing Data Science Enablement at Wayfair. Sc.B. Brown University.


"Jourdan provided invaluable help with our pitch deck + coaching that led to a $2mm seed. Whether it's help hiring or managing cash, his advice is bizarrely helpful!"

Kelly Peeler, CEO of NextGenVest | $2M Series Seed- Acquired by CommonBond

"Brandt & Co. have provided significant assistance, guidance, and tangible help for us at our early stage startup. We will be lucky to have them advising us as we scale. Jourdan is extremely competent, intelligent, and knows how to leverage his experience and extensive network to help his clients."

Jason Ovryn, COO, Carry | $1M Seed Round