Happy New Year to all our readers!
I'm starting 2026 with a number that won't let me go:
200 million dollars in annual sales. In less than 12 months.
The Swedish start-up Lovable announced its Series B in December - a second major financing round in which investors put in 330 million dollars. Valuation: 6.6 billion dollars.
In July, its ARR (annual recurring revenue from subscriptions) was 100 million. Four months later: twice as much.
100,000 new projects are built on its platform every day.
First thought: "This is a different world."
Second thought: "What exactly are they doing differently?"
And a third: "Which of these can we use for SMEs in the DACH region?"
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Solving AI pain points: Micro-applications for SMEs
THE PROBLEM
Most of the SMEs we work with MMIND.ai have a similar pattern:
You know that AI is important. You may have tried ChatGPT. Some have even started a pilot.
But then nothing happens.
The pilot remains a pilot. The enthusiasm fizzles out. Everyday life takes over.
Meanwhile, start-ups like Lovable are building products that achieve in weeks what others take years to do.
THE TREND FOR 2026: VIBECODING
Lovable stands for a trend that I see as crucial for 2026: Personalized micro applications.
What do I mean by that?
Small, customized digital tools. Built for a specific purpose. Exactly for your team. Exactly for your process.
Until a few weeks ago, such solutions cost tens of thousands of francs and required developers. Now they are within reach.
With tools such as Lovable, n8n or Google AI Studio, practically anyone can build such applications - without any programming knowledge. The scene calls this "vibecoding": you describe what you want. The AI builds it.
This changes the rules of the game for SMEs.
WHAT LOVABLE DOES RIGHT
Principle 1: Painkiller before features
Lovable started as an open source project on GitHub. Not a fancy platform. Just a tool that solved a real problem.
For you: Don't start with the big vision. Start with the greatest pain. A process that is annoying. A task that eats up time.
Principle 2: Show instead of explain
Founder Anton Osika posts daily on LinkedIn. Not about "the future of AI". But rather: screenshots. User successes. Concrete figures.
For you: Document your AI experiments. Share what works - internally and externally.
Principle 3: Community before customers
Lovable has over 100,000 Discord members. This community tests, gives feedback and shares successes.
For you: Build an internal AI community. For example, a Teams channel in which employees share their prompts. It costs nothing - and speeds everything up.
THE TOP 10 KI BUSINESS MODELS FOR KMU IN 2026
Based on current ChatGPT usage data - and what I see in practice:
|
# |
Business model |
SME application |
|---|---|---|
|
1 |
AI onboarding co-pilot |
Training new employees in 50% of the time |
|
2 |
Internal knowledge search engine |
"How do we do it here?" - with sources |
|
3 |
Offer generator |
From request to quote in minutes |
|
4 |
Process documentation |
Create SOPs automatically from screencasts |
|
5 |
Customer service co-pilot |
Prepare ticket responses |
|
6 |
Meeting summaries |
Transcript → Tasks → Follow-ups |
|
7 |
Contract analysis |
Quickly identify risks in contracts |
|
8 |
Personalized training courses |
Learning paths based on knowledge gaps |
|
9 |
Content engine |
From voice note to 10 posts per week |
|
10 |
Multilingual communication |
Supplier correspondence without a translator |
My recommendation: Choose ONE application. The one with the most pain. Implement it over the next 4 weeks.
THE PRACTICE CHECK
A mechanical engineering company from southern Germany launched the AI onboarding co-pilot in November.
Before: New service technicians needed 6 weeks of training. Constant questions to experienced colleagues.
After: A custom GPT, trained on internal manuals and FAQs. New employees ask the co-pilot first.
Result after 8 weeks: Training period reduced by 40%.
The technical director told me: "The crazy thing is - we had the knowledge. It was just in 47 different PDFs."
Q&A
"Is Lovable relevant for us? We don't build software."
Yes, because using Lovable trains the new way of thinking: Rapid iteration. User feedback as a driver. That works in every industry.
"Which of the 10 business models has the fastest ROI?"
For most SMEs: the onboarding co-pilot or meeting summaries. Both save measurable time immediately.
"Do I need developers for this?"
No. Tools such as Custom GPTs, n8n or Lovable make many things possible without code.
VIBECODING FOR YOUR SME
With MMIND.ai we make vibecoding accessible for SMEs.
This means: You describe your problem. We build the solution together - as a customized micro-application for exactly your process.
What makes us different:
-
Data security is the top priority
-
Data storage in the EU or Switzerland possible
-
No black box - you understand what's happening
Two ways:
-
As a project: We build your first AI application in a 2-day sprint
-
As a course: You learn vibecoding yourself - and continue building independently
THE NEXT STEP
Let's discuss in 20 minutes which path suits you best.
