We believe angel investments are the real "smart money". With the unique expertise and network angel investors contribute, a startup can get an "unfair advantage" in the market. Ideally, this has a much more long-term effect than the relatively small share of equity, which often is only a few weeks or months of runway.
An angel journey with a startup is a matter of 5-10 years. To ensure a good match in such a relationship, we have defined for ourselves an investment guideline. This also can help startups to check whether they are ready for a pre-seed round. Startups should have a complete founder team, an MVP and ideally first insights from customers and revenues.
Beyond investing, we advise a few startups, either directly or via an incubator program.
We support founders who innovate in one or more of the following areas:
Beyond this, we consider exceptional ideas where the team's skillset and personalities are a great match with our experience and mindset and we can really make a difference.
We invest primarily at the pre-seed stage, typically with other business angels.
Discovery and evaluation of startup teams and innovation → Digitize and de-bias early-stage investment processeses.
Universal SaaS tool-kit for structured data capture → Digitize healthcare and other industries in a streamlined way.
Order management platform for wholesale and restaurants → Digitize order and inventory management, reduce food waste.
Digital teaching platform for STEM / MINT subjects → Better education by minimizing cancelled lessons in German schools.
We evaluate startups using a few qualitative but rigorous criteria, including the following keywords and questions that are collected in a scorecard with around 20 Likert-scale scores:
Generally, team and product are our most important factors, aside from the potential from our own skills and network.
As we look for projects in pre-seed and potentially seed stages, we expect some progress on the implementation of the product (MVP, pilot) and some market feedback, ideally first product revenues.
As investment decisions often are qualitative, we are experimenting with tools that allow us to view qualitative decision factors and their relations efficiently. For this, we drafted a "Preseed Canvas" that adapts some ideas from the Business Model Canvas and Lean Canvas.
What is the problem addressed? Why is this important for customers? Do we align with the purpose?
What is the solution? Is it new and can it move the needle? Why is now good timing?
Implementation status? What validation of Product Market Fit exists? Ability to execute?
What are the main benefits for customers? USPs and differentiators? Optional: High-level concept: "The A for B."
How are customers reached and retained? Partners and multipliers? Network effects?
Sales pipeline and conversion? Reasons for customers to (not) buy? Current and target unit economics?
Target customer segments and user/buyer personas? How well do we know their needs?
Skills and proven experience in the founder team? Openness to coaching? Optional: Who co-invests, advises, offers access?
What is the size and growth of the market (TAM, SAM, SOM)? Competitive landscape and market dynamics (P5F)?
Optional: How is the problem addressed today?
Optional: Is there a moat and how can market advantage be defended? What unfair advantage exists?
Optional: Pilot users, product validation?
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