After years of ups and downs, I have my first million in my pocket. I used to think this moment would feel completely different. Bigger. More emotional. Somehow life-changing.

But when it builds up slowly over years, the moment comes more quietly than expected. In the end, it's just a number on a screen. The real rollercoaster rides were the doubts, the setbacks, the mistakes and the patience in between.

And yet I know that emotions will continue to run wild in the coming years. Because uncertainty doesn't simply disappear as your wealth grows - it just takes on different dimensions.

Dear Community,

App version 2.231.0 went live this morning, with a new, stable connection to Trade Republic.

The last few weeks have been frustrating for many of you, especially on Android: you could only update your portfolio manually or via CSV, not automatically as usual. The responsibility for this lies with us. I would like to personally apologize for this.

We have completely rebuilt the connection, added additional monitoring and are working more closely with Trade Republic to identify potential import problems before they affect you.

Please update to 2.231.0. If you still have any problems, please write to help@getquin.comwe will look into every case.

Thanks to everyone who has sent us feedback over the last few weeks.

Christian

Dear Community,

In the last few months, things have been quieter than usual from our side here. The reason: we have been very busy closing a new financing round. 12 million euros - a huge milestone for getquin.

However, I am also aware that the fundraising process has meant that we have been too far away from you at times recently. Too little communication, too little insight into product development, too little presence here in the community.

That is now changing again.

Our full attention is going back to you, our users. You have made it possible for us to be where we are today.

The next steps are clear: we will focus even more on the features that you came to getquin for and that help you build your wealth every day.

Our focus is particularly on the core of the platform:

- Aggregation

- analysis

- data quality

We will be deploying significantly more resources in these areas in future.

We will also expand our communication around product development. In concrete terms, this means

- Monthly product updates

- More direct updates from me here in the community

- Q&A sessions via webinar

We have also been working for some time on solutions to help you build your wealth even more proactively. We'll be sharing more about this with you in the coming weeks.

For now, I would just like to say thank you - for your support, some of which has lasted for years, and your open feedback, which helps us to continuously develop getquin.

We look forward to the next few years with you!

Christian

Dear Community,

I'm sure everyone here has worked with AI at some point.

For portfolio analysis, equity research or simply as a sparring partner.

But how many of you have already implemented a complete project with Claude Code, Codex & Co.

I've been a bit quieter here in recent months. Instead of posting on GetQuin, I built my own portfolio tool with Claude Code in my spare time, completely prompt-driven, without any programming knowledge to speak of.

🚨 Short disclaimer first:

The whole thing was primarily a self-experiment. No GetQuin competitor, no advertising. The project has since been discontinued (more on this later). What follows is purely an experience report and perhaps a motivation for one or the other to try something new themselves.

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🔧 The project

Goal: A portfolio tracking & management tool with the features that I personally find interesting.

My framework conditions:

• Approx. one month project duration, a few hours per day
• I am not a developer, only rudimentary dev skills
• Everything should be prompt-controlled, minimal manual effort

The tech stack (Next.js, GitHub, automatic deployment) was built entirely through prompts in Claude Code.

From idea to implementation: prompt, test locally, commit, deploy.

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🎯 What was created in approx. 60 hours

Core features:

• Functioning web app (desktop & mobile)
• User management with signup & magic link/password login
• Multilingualism, light & dark mode
• Onboarding with demo mode, dashboard tour and tooltips
• Live stock market data with worldwide ticker support

Portfolio management:

• Complete transaction history
• CSV import from Trade Republic, Scalable Capital and Comdirect
• Automatic & manual sector grouping
• Performance vs. market benchmark
• Dividend calendar
• "What if I sell?" incl. tax calculation for individual stocks
• Social sentiment

Monte Carlo simulation:

• Various withdrawal strategies (fixed, SWR, dynamic, etc.) & rebalancing
• Savings & retirement phase with tax analysis
• Historical return/volatility analysis per sector (manually customizable)
• Simulation of target weightings

It's easy to get lost in the possibilities...

Here are a few screenshots from the tool.

Shown are demo data, so please don't be surprised if some numbers don't make sense.

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💡 My learnings

The planning phase is essential. Debugging and testing make up about 80% of the development time, less the initial build.

The CSV imports in particular (every broker has a slightly different format...) were a headache. I can imagine how time-consuming it is to maintain dozens of broker formats and make improvements when changes are made.

Maximizing the efficient use of API data through smart caching is essential.

Claude has built me an "architecture flow" for this, where you can see exactly where and when which API calls occur, including information on cache efficiency, latency, etc.

I didn't plan everything from the outset, but implemented new ideas on the fly.

When it comes to system-wide interventions in increasingly complex projects, this can sometimes lead to endless loops for Claude, which can often only be solved if you have an idea of what the problem might be.

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🤦‍♂️ The great disillusionment: stock market data

And here comes the catch.

Live stock market data is expensive.

For private use, it is still reasonably affordable, but even then the price is significantly higher than a GetQuin premium membership.

If you want to use global stock market data commercially, you have to pay at least €2,500/month per month.

That's without the growing infrastructure costs for thousands of active users.

Even for purely private use, I prefer to invest the money.

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👉 My conclusion

It's amazing what you can get up and running in such a short time with just a little know-how. Especially when your own platform feels like a professional product in the end.

The project is now on hold and I'm using GetQuin again.

The €9.99/month for Premium is more than justified. Anyone who knows the infrastructure and data costs behind such a tool knows why.

I don't see the 60 hours invested as wasted time, but as an enormous gain in experience.

If you have been afraid of implementing a web project yourself due to a lack of technical knowledge: Give it a try. The barrier to entry has never been so low.

At the beginning of the Iran war, the target was still a long way off. Since then, semiconductor and cyber stocks in particular have provided a boost.