What's cooking? Identify startups and unicorns in real time

Bachelor or Master Thesis or Project Study

📌 Key facts

• Mission: Create a data analytics solution and prototype to automate the way the next promising ventures are identified and detected • Competencies: Passion for and Skills in Data Analytics (Identifiying interfaces from which to collect startup information, API, Python, etc.), Product Development (How to integrate data in a meaningful and efficient way, ideally come up with a prototype) • When: Start anytime. Applications are open! • How to apply: Send us an e-mail (at the end of this page) with your CV and a grade report and a tentative research idea (research question, data and methods, possible outcomes with a tentative outline all in word as *.docx)

Contents

• 💡 Background
• 🦾 Who we are
• 🎯 Goals
• 📚 Further Reading
• 📄 Requirements to any Work
• 📬 How to apply

💡 Background

If you want to understand the future of an industry look to the startups that aim to disrupt it. Most actors in the VC and entrepreneurial ecosystem still search more or less manually for intersting new startups. We are looking for a way to automate this search and make it real-time.

🦾 Who we are

The Chair for Strategy and Organization is focussed on doing research with impact. This means we do not want to repeat old ideas and base our research solely on the research people did 10 years ago. Instead, we currently research topics that will shape the future. Topics such as Agile Organizations and Digital Disruption, Blockchain Technology, Creativity and Innovation, Digital Transformation and Business Model Innovation, Diversity, Education: Education Technology and Performance Management, HRTech, Leadership and Teams. We are always early in noticing trends, technologies, strategies and organizations that shape the future, which has its ups and downs.

🎯 Goals

• Understand where information on (new) startups can be found, understand the benefits and limitations of each source
• Systematically research and identify the possibilities of scraping data from theses sources
• Analyze how they the data can be integrated in a meaningful way
• Build a search prototype that is able to identify startups in (real) time
• Prepare: a) thesis/project study report b) Powerpoint slides on the topic of your thesis/project study c) Infograph that contains most important results
• Communicate your findings to the world: write articles, blogs, papers where you condense your findings and derive actionable recommendations for industry and public authorities

We would particularly welcome innovative ideas on how to identify startups, e.g. collecting trace data from twitter, crunchbase or other digital sources that talk about new stratups or search through worldwide VC portfolios, e.g. crunchbase, linkedin, etc.

🎓 Profile

• Reliable and self-driven
• Interest in Data Analytics / Startups / Data Analytics / Entrepreneurship /
• Ability to do sophisticated internet and desk research
• Passion to learn more about the future and do research with impact

📚 Further Reading

Identifying startup trends https://www.businessbecause.com/news/insights/6703/startup-trends-to-shape-decade

https://www.gruenderszene.de/technologie/andre-retterath-earlybird-venture-capital

Find early startups https://medium.com/@human_capital/how-to-find-exceptional-early-stage-startups-42dff895c2af

Seed investment platforms such as seed camp https://seedcamp.com/

Startup listers StartupBlink https://www.startupblink.com/ or StartupLister-List of Startup Directories

An Algorithm to identify Unicorns: https://www.cbinsights.com/marketing/information/Mosaic-Score.pdf?utm_campaign=SAL_Nurture&utm_medium=email&_hsmi=69450231&_hsenc=p2ANqtz--zCbmaB4M_bJoWyckwTlaXFbyqa1D74PuuJUdfpHYy0OW_v_pP7LnJNjchlAWBeAI315bQdCm2jeBKOibS8mtuRLeUkg&utm_content=69450231&utm_source=hs_automation

Earlybird KI Software für Startups: https://amp2-handelsblatt-com.cdn.ampproject.org/c/s/amp2.handelsblatt.com/technik/digitale-revolution-einhoerner-aus-der-glaskugel-wie-ki-milliarden-start-ups-erkennen-soll/26247950.html

https://www.valuer.ai/blog/8-ways-find-startups-to-invest

📄 Requirements to any Work

We do not want your research to gather dust in some corner of bookshelf but make it accessible to the world. Thus, we warmly encourage you to create some or all of the following:

• Infograph - visually represent some of your work (find examples here)
• Slide Deck - summarize your research and possibly present it
• Extract most important sequences from podcasts, videos, and other media
• 3-4 Tweets about the most important findings and summarizing the topic
• optional: Medium Article - let people outside university know about your research and start your personal brand

📬 How to apply

If you are interested, please contact Prof. Dr. Isabell Welpe (e-mail below) by submitting your CV and grade report. We would particularly welcome innovative ideas on how to identify startups in (real) time, e.g. collecting trace data from twitter or other digital sources that talk about trends or search through worldwide VC portfolios, e.g. crunchbase, linkedin, etc.

We're greatly looking forward to hearing more about you!

👉 welpe@tum.de