Relevant startups in Load Testing Solutions to invest $3-5M at Series A
This is not a typical market study. Deep research in this book can help you better understand the current situation in Load Testing Solutions. This study can help you to reveal market-leaders companies, who are possible buyers for such projects. In this research, I've defined a goal to find relevant startups in Load Testing Solutions to invest $3-5M at Series A. Answer several questions:
1. What is the size of this market niche?
2. What are the current market trends in load testing?
3. What are the most promising startups there? Why?
4. Why do you consider a particular company better than others?
5. What are its general pros and cons (product, business, team)?
6. What are its competitive advantages and disadvantages?
About framework
The framework I chose includes
1. Get into the niche
2. Understand target benchmarks & market leaders
3. Set up a scouting pipeline
- Find startup source lists [output: >100-500 startups]
- Make pre-selection [output: 10-50 startups]
- Go deeper with some selected startups [output: 3-5 startups]
Bonus
Early access feature for people who buy this report before March, 1st 2021:
1) exclusive access to the web version, which updates over time
2) email newsletter with extra materials & changelogs (no spam is guaranteed)
About author
This report is by Alex Malyshev. Alex has graduated Moscow Institute of Physics and Technologies. The bachelor thesis at the university ("Improving the methods of recommending advertising using modern machine learning methods") is highly appreciated by the commission, and its achievements have been implemented in Yandex, which led to the significant financial growth of the company. Today, he helps chief innovation officers, innovation ecosystems, and venture capitalists run their relations with startups. Over 5 years of experience in software development with Yandex, Parallels, and leading his own startups in Europe. Founder of 15.000+ software developers ecosystem. Pushing innovations for Philips, LG, Electrolux, MTS, Splat via providing AI as a service and building corporate innovations scouting.
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