Helping founders build the right thing.
A common spot for a founder is a product that works well enough to sell, on a technical foundation nobody senior has reviewed. An agency built it, or a cofounder who has since moved on, or the founder with an AI coding tool. The decisions that are expensive to undo happen by default.
The work draws on five years inside LinkedIn's engineering organization, and on taking a healthcare platform to production through SOC 2 Type II and HIPAA as a founding engineer.
Founders tend to need these in roughly this order, and rarely all of them. You keep everything the work produces: documents, code, tests and instructions. The rest is time with you and your team, making decisions together.
Product and architecture review.
You know what you have, what it costs to run and what will break first.
- You get a written review of the code, infrastructure, vendors and monthly bills, in language you can repeat to an investor.
- The review ranks each risk by how likely it is and what it costs to fix, so you can decide what waits.
- We walk through it together, with whoever built it if they are still around.
Decisions that are expensive to undo.
Most technical choices are cheap to change. The few that are expensive to reverse get made on purpose, with the reasoning written down.
- A short decision record covers build or buy, web or native app, where you host and how your data is shaped.
- It also says where customer or patient data lives, and what that means for the scope and cost of HIPAA or SOC 2 later.
Team and vendors.
You hire engineers who can do the work, and pay agencies for outcomes rather than hours.
- You get role descriptions, technical interviews and a written read on each candidate.
- You get a review of agency proposals and statements of work before you sign.
- Onboarding documents let your first engineer find their way without you in every conversation.
AI where it pays.
AI takes repetitive work off your team, and a person still approves anything that sends, pays or deletes.
- You get a list of the workflows worth automating, ranked by payoff. When a rule, a report or a process change would do better, the list says so.
- Agents connect to your CRM, inbox or database.
- MCP servers let Claude and ChatGPT work with your systems through a secure sign-in.
- I test search over your documents against real questions before anyone relies on it.
Compliance-ready foundations.
When a customer sends a security questionnaire or asks for a SOC 2 report, the groundwork is already in place.
- Access control, logging and data handling go into the architecture from the start.
- Each customer's data stays separate, with a record of who saw what.
Building it.
You get a working product, tested and handed over to your team.
- You click through a prototype and approve it before the real build starts.
- The build covers web and mobile apps in TypeScript, Next.js, Python and FastAPI, from prototype to production.
- Each release passes its tests before your users see it.
- Your team owns the code, tests and written instructions, and can follow them without me.
Ongoing technical leadership.
You get senior technical judgment every week until you are ready to hire a full-time technical leader.
- You get a set number of days each month with a technical lead.
- We hold a weekly working session with your developers or agency.
- I run the technical roadmap and the technical side of investor and customer diligence.
Getting started.
Email hello@ibraheem.com with a few sentences about what the product does, who has built it so far and the decision in front of you. The reply says whether this is a fit and where to start.
If you would rather work through it yourself, the notes cover building with AI so it holds up in real workflows.