Turning an idea into a successful SaaS or AI product takes the right strategy, the right team, and flawless execution.

That’s what we do best! We've worked with 50+ B2B companies to build and scale SaaS & AI products that bring results.

With a proven process, clear communication, and a focus on scalability, we make sure your product is built fast and made to laaaast 🚀

Our process involves:

👉 Defining the best product strategy & tech stack
👉 Designing an intuitive & beautiful UX/UI
👉 Building an MVP in 8 to 12 weeks
👉 Scaling it into a robust, full-featured platform

💡 Experts in: React • Django • Node.js • Bubble.io • WeWeb • Xano

Diogo Guerner

How long does it actually take for a non-technical person to build their first AI agent?

Last night at buildersklub, Marvin Aziz from Lindy led a workshop with no buzzwords, no "AI will replace everyone" hype.

But here’s what made it special: we didn’t just talk about AI agents.
We built one. Live. From scratch.

Marvin walked a room full of business folks (most without technical backgrounds) through creating their first AI agent. 

Here is what we learned:

→ AI agents aren’t just fancy chatbots: they’re autonomous systems that can handle complex workflows 
→ You don’t need to be a developer to build them (seriously, we proved it last night) 
→ The key is starting small: one task, one agent, one problem at a time 
→ Memory + Tools + Clear Instructions = Powerful automation

Building with AI is becoming a practical skill rather than a technical barrier. Now that the technology is accessible to everyone, a big differentiator is knowing what to build.

Huge thanks to:
- Berlin Bytes for hosting us
- Marvin Aziz for the incredible workshop and for being so grounded in practical insights. 
- And everyone that joined.

Thank you for being part of the Klub. See you at the next one! 🚀

CEO @Naviu / Launch digital products & AI solutions at startup speed

Is the secret to scaling AI and Automation actually... boring? 

For the final stop of the German AI Roadshow by Make and buildersklub, we skipped the hype and looked at the plumbing. 

We had the pleasure of hosting Florian Kristof (Peter Park) and Fabian Q. Veit (CEO of Make) to discuss why you have to “start boring” if you want to build fast.

Florian’s team of three manages nearly 600 active scenarios. His main takeaway? If you don’t have a strict foundation, you’re not building a product. You’re building a “maintenance trap.”

Here are the highlights that stood out to me:
- "Start Boring": Before building fancy AI agents, you need the basics. Strict naming conventions and a solid decision framework are the only ways to survive scaling from 100 to 600 scenarios.

- Catching “Silent Failures”: Errors are easy to spot; it’s the triggers that don’t fire that kill you. They built a custom observability layer to catch these “silent failures” before the business even notices.

- The “AutoMax” Feedback Loop: They built a mascot bot that automatically surveys users. If a workflow isn’t providing value, they kill it. It’s product thinking applied to automation—focus on impact, not just output.

- AI Documenting AI: To prevent documentation from suffering during growth, they use AI agents to automatically write documentation for every scenario and review builds against internal design principles.

Fabian also shared some heavy-hitting strategic insights:

- The Reliability Mix: Long-term impact isn't created by AI alone, but by combining intelligent components with reliable, rule-based automation.

- The CEO’s “Second Brain”: Fabian uses a custom Telegram bot to triage links, ideas, and screenshots based on his calendar context, allowing him to stay fully present in the real world.

It’s easy to get distracted by the "magic" of AI, but the companies actually winning are the ones treating automation as a disciplined craft. 

No buzzwords. No nonsense. Just clear, practical implementation.

Huge thanks to Florian, Fabian, and the Make team for closing out this series with such grounded, practical insights. And a shoutout to Roger P. for showing everyone exactly how to build their own AI task manager.

Thank you for being part of the klub!

#MakeAIWorldTour

I’m a tech-driven entrepreneur with a background in Econometrics and Operational Sciences - and a fascination with the messy, human side of data.

I believe AI is only as smart as the business context it’s built on. That’s why I founded Anlytic - a data collaboration platform that brings clarity to data chaos by making it radically easier for teams to work across dashboards, KPIs, and strategy.

My work now centers around helping leaders translate between AI potential and business outcomes, turning buzzwords into bottom lines. I share that journey publicly - failures, frameworks, and first-principles thinking included.

When I’m not deep in system design or AI conversations, you’ll find me playing chess, diving into oceans, or building things with my wife, Nataliia.

Martijn Witteveen

My first company failed because I couldn’t lie to customers.

I was selling energy contracts and paper it made sense - group buyers together, negotiate better prices, everyone wins.

In reality, I knew too much.

I knew which providers were cheaper.
I knew when a deal wasn’t the best option... and when someone asked if this was really the right choice, I hesitated.

Not because the business was hard, because I didn’t believe in what I was selling.

That experience taught me that I can’t build something just because it works commercially.
I have to stand behind it when no one is watching.
Otherwise the work drains you, even if the numbers look fine.

That lesson shaped every decision after.

It’s also why Anlytic exists.

I didn’t want to build another tool people tolerate.
I wanted to build something I’d actually defend.
Something that removes friction instead of creating more work.

#aiagents #founderstory #founderslife

CEO @ Anlytic.com | Artificial Intelligence Leader | AI + BI Operator | Making AI Useful in the Real World

I ignored AI for years because it didn’t make sense to me as a mathematician.

How do you introduce probability into something that is absolute?
One plus one is two. There’s no reason to add randomness to it.

Everything changed when AI stopped being about answers and started being about actions.

AI agents don’t just respond to questions, they observe systems, notice when something changes and trigger decisions at the right moment.

Instead of asking for reports, teams get alerts and decisions happen quick.

The AI direction is clear and automation is moving out of insight and into action.
And it’s the direction we’re building toward with Anlytic as well.

#aiagents #ainews #genai #artificialintelligence

I didn’t start Anlytic to replace analysts.

I started it because I kept smart analysts spending most of their time doing menial tasks:

- pulling data
- cleaning spreadsheets
- rebuilding the same reports
- answering the same questions again and again

Not because that’s where their value is but because the system forces them to.

Analysis shouldn’t be about ASSEMBLING information, it should be about understanding what changed and what to do next.

That’s where our Anlytic agent comes in:

- It watches the data.
- Flags anomalies and fluctuations instantly.
- Brings context when something shifts.
- Generates reports and charts in seconds.

Less time waiting for numbers.
More time thinking about decisions.

That’s the kind of work I wanted to enable when we started Anlytic.

#data #aiagents #aitools #dataanalysts

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Martijn Witteveen

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The Battle

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Martijn Witteveen

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Diogo Guerner's LinkedIn Performance

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Performance ScoreDiogo Guerner's LinkedIn Performance