SaaS, dashboards and apps where design and tech fit together.

You don’t need to know which database to use or what an API is, or have written 80 pages of technical specifications. Bring the idea or the problem, and we’ll work out together how the product should work.

It’s rarely necessary to build the whole vision on day one. It often makes more sense to identify the core feature and build an MVP – the first version with just enough functionality to test the idea in the real world. That reduces cost, development time and risk, and lets you keep building based on real users instead of assumptions.

I work on both the technical and the visual side, so the interface doesn’t just end up as a generic dashboard. A feature can be technically impressive and still frustrating to use – that’s why UI, navigation and flows are considered from the start.

Many SaaS products need user accounts. I can integrate or build login, sign-up, organizations, roles, permissions, teams, administration, invitations, password reset and social login.

If the product is sold as a subscription or by usage, payment systems like Stripe can be integrated – monthly or yearly subscriptions, different plans, free trials, credits, pay-as-you-go, metered billing or one-time payments.

If the product will be used by many different companies, it can be built as a multi-tenant platform, where each customer gets their own space and their own data in the same system – for example for website builders, CRM systems, dashboards or other B2B tools.

A modern SaaS product rarely stands alone. I connect the solution to external services via APIs – payment systems, AI models, CRM, email, product data, public registries, webhooks, analytics platforms and cloud storage. Beyond the product itself, an internal admin panel can be built, so you can see users, payments, data, subscriptions and activity without opening the database every time a customer needs help.

The solution can run on our own infrastructure – with databases, deployment, storage, CDN and backups. The product shouldn’t just work on your own computer; it needs to run reliably once real customers start using it.

If AI makes sense, it can be built right into the product – text generation, document analysis, image analysis, search, automatic categorization, AI assistants, data processing or product recommendations.

If you’re thinking “couldn’t you build a system that did X automatically?”, that’s already enough to start a conversation.