"Sooner or later, those who win are those who think they can."
– Paul Tournier

It is frequently said in startup circles that an idea is worth exactly nothing: what really matters is the execution. We were, however, approached by an investor group that had only one the former ready. They came up with one business opportunity, one idea, that they thought could be interesting to investigate and build a company around.

Without taking sides in the idea-or-execution debate, we have seen it many times that startups with a great idea but without a solution for execution are indeed in trouble. Hence, we wanted to build something future proof. Instead of creating a prototype and releasing it into the wild, our approach was to establish a feedback machine. A methodology to create an initial product, and keep improving the offering as long as the startup finds product-market fit.

The building blocks for the feedback machine are simple:

  1. Come up with a single idea to test
  2. Test that idea: establish the metrics, then add a measurable feature to the prototype, ask the users, or simply put out the product for sale.
  3. Gather data and draw conclusions: confirm or reject the initial assumptions
  4. Repeat as many times as needed

The prototype was ready within a month, the project managers started to generate ideas, collect feedback and acquire clients. The feedback machine was grinding ideas for long months, until one day the startup started to show signs of reaching product-market fit. By the time one of the project managers was ready to take on the CEO hat. Since the more expensive research & development phase was already over, we could transfer the ongoing development and maintenance works to cheaper outsource partners.

With the established best practices and documentation already in place, finding partners and handing over the technology took less than a month. From start to finish, creating a brand new tech startup and putting it onto its on two feet, the complete journey took just about a year.

We don't share names in these case studies – while we are proud of our clients and their stories, we respect their privacy and business. For references, please get in touch with us directly.

Case studies

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CTO in the making

After building all their tech with outsource partners, the startup wanted to take control back in-house. Learn how we helped restructure the development team.

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AI upgrade for the marketing team

What can you actually use AI for? We've implemented a list of algorithms with this client's marketing team.

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Legacy system under heavy load

A 15-year-old website and booking system running Perl. How can we replace it while keeping the service running 24/7?

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Fixing a cashier system crash

This fintech startup built an iPad based cashier system, and sold it half-baked to retail shops. Under load then, it crashed even during payment transactions.

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Transportation system abandoned

The local transportation authority of a USA state capital built a new website and apps to provide real-time travel information. It only got them sued.

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Startup on a plate

An investor group asked us to build a startup around a business opportunity. We did so, hired our own replacement, and then transferred back the company.

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What we do

Digital project rescue

Project failure statistics are sobering. Big and large, almost one third of all digital projects are realised over budget, over time, or not at all – leaving jobs and businesses at risk. We are experienced in stepping into digital projects at the 11th hour, to get technology back on track.

Technical due diligence

With 100 million new businesses created and 70 million shut down worldwide each year, buying and selling startups and their technology is common practice.
That doesn't make it any risk-free.

Data analytics & research

The real big data challenge is only human. We have to learn to ask the right questions, recognise patterns, make informed assumptions and predictions. Understanding what technology can and cannot offer is step number one.