SaaS, CRM and AI backend development from scratch
A new SaaS, CRM or e-commerce backend, built in slices that reach production and stay extendable: architecture, data model, first workflow, release path.
Scope & deliverables
- For whom
- Founders and product owners who need a new SaaS, CRM or e-commerce backend built, and who cannot afford a rewrite later.
- Outcome
- An architecture that survives the second tenant and the first thousand users, a first slice in production, and a release path that stays repeatable as the product grows.
- What I need
- The goal in one sentence, the platform it has to run on, what "accepted" means, and the first workflow that has to work. Access to the domain and the accounts it depends on.
- Format & timing
- A scoped first slice, then a second one. Timing depends on the scope of the first workflow, not on the size of the final product; each slice is agreed before it is built.
Project or ongoing retainer. Scope, schedule and fees are agreed after an initial review. I reply within one business day and name the next step before you commit to anything.
Plan the first versionRelated engineering experience
AI sales quality assessment and branch rankings
Integrated AI into a multi-tenant CRM to assess how sales teams communicate with customers: whether they ask appropriate questions and correctly interpret the answers. Assessment results fed branch ranking tables.
Questions about this service
How do you build a product without overbuilding it?
One workflow first. I agree what has to work, shape the data model around it, put that slice in production, and only then take the next one. The architecture is decided before the code, because the second tenant and the first thousand users are the constraints that a rewrite later would cost you the most.
How does a new product start?
One workflow, one slice, in production, then the next one. The first slice is scoped by what has to work, not by the size of the final product.
Which stack do you recommend for a new SaaS or CRM?
Laravel for the product, Node.js beside it when a separate runtime earns its place, MySQL for the data, Redis for the cache and the queue. The stack follows the workload, not the other way round.
Practical reading
The cost of a first version: what sets the number
First Slice or Whole Product: What to Release First
Decisions to Make Before the First Line of Code
