How to build an AI SaaS: the service-to-software ladder
How to build an AI SaaS without external funding. Get paid to solve one company's painful problem, productize it for three to five similar customers, then go self-serve.
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Freelancing, positioning, portfolios, and practical paths into AI and data work.
How to build an AI SaaS without external funding. Get paid to solve one company's painful problem, productize it for three to five similar customers, then go self-serve.
A transition guide for data scientists moving from notebooks and models to production AI systems with APIs, workers, evals, deployment, and ownership.
Learn how to become a freelance AI engineer by building practical AI projects, choosing a service offer, finding clients, pricing work, and moving toward long-term contracts.
A practical roadmap for machine learning engineers who want to freelance by deploying models, building ML APIs, improving evaluation, and finding client projects.
A practical guide for software developers who want to freelance, find first clients, scope projects, set rates, and build a sustainable technical client pipeline.
A practical guide for data scientists who want to freelance, find first clients, package services, price projects, and turn analytical skills into paid client work.
Learn how data engineers can start freelancing by packaging pipeline, warehouse, automation, data quality, and analytics infrastructure work into paid client projects.
Learn how data analysts can start freelancing with dashboards, reporting automation, KPI cleanup, business analysis, and practical client acquisition strategies.
A practical roadmap for developers, data professionals, and AI engineers who want to land freelance projects, set rates, write proposals, and build a client pipeline.
How AI is changing software development, why companies are moving from AI-enabled to AI-first to AI-native, and the two skills I focus on as writing code gets faster and cheaper.
AI wrote every line of my two-week Rust rebuild. The five skills that kept me in control are systems thinking, full stack range, clear communication, ruthless simplification, and testing.
The client AI delivery process behind 50+ custom B2B projects, covering discovery calls, proof of concept vs MVP scoping, two-week sprints priced at 10 to 20k euros, one standardized Python stack, and deployment on a Hetzner VM.
A six-step roadmap for finding freelance data and AI projects, covering how to write a simple business plan, build your LinkedIn presence, sell solutions instead of skills, and land clients through the channels that actually work.