![]() ![]() In addition to these regular sources, Leadspicker also uses ad-hoc data sources such as conference networking apps. For instance, the AustrianStartupPinwall Facebook group serves as an example of the communities we engage with,” Vlastimil shares. ![]() By leveraging these platforms, we can identify founders and other key personnel who may offer valuable information. These sources provide valuable insights into the most recent and noteworthy companies worldwide.Īdditionally, we tap into the vast potential of relevant Facebook groups and other online communities. “To remain up-to-date with the latest trends, we diligently monitor prominent tech media outlets and blogs, including TechCrunch, Sifted, and even local platforms like CzechCrunch. By exploring these niche websites that concentrate on specific regions or industries, they enhance their chances of uncovering valuable data sources. Moreover, we utilize major global databases akin to Crunchbase, along with directories such as Product Hunt and crowdfunding platforms, to unearth new and emerging companies,” he explains.įurthermore, they recognize the significance of smaller, more localized startup directories that tend to be overlooked. Specifically, we focus on individuals who have recently established job titles such as founder, co-founder, CEO, COO, CTO, or those associated with emerging companies operating in stealth mode. “Firstly, we regularly monitor various data sources, including LinkedIn profiles. Read more: Which are the latest investments of Daniel Dines, co-founder of unicorn UiPath, in the SEE ecosystem Vlastimil explains what data inputs and sources they use at Leadspicker. In the quest to identify the most promising early-stage companies, AI-based sourcing tools need to be fed with accurate and trustworthy data. In a nutshell, AI startup sourcing follows the same process as traditional outbound sourcing – identifying early-stage startups and founders, digging deeper to find out more data about them, and trying to see whether they fall in any of the target verticals of the fund. How does AI in venture capital startup sourcing work? Vlastimil provided us with a step-by-step guide to how modern startup sourcing tools replace the traditional warm introductions and allow VCs to discover hot emerging companies and promising founders at scale. ![]() On a monthly basis, the Leadspicker team sources startups and leads for more than 25 accelerators and corporate entities, counting major names such as PwC, Vodafone, Pfizer, and Axel Springer Plug&Play among their clients. One notable aspect of Leadspicker is its utilization of machine learning to identify emerging tech startups, even those businesses which are not listed in existing databases. Leadspicker, the company founded by Vodicka, offers three products: Startup Scout, Sales Booster, and Pipebooster.io, which are used to automate repetitive sales tasks and attract new clients. In this article, we aim to provide a comprehensive guide for those interested in exploring AI’s capabilities without requiring coding expertise.Īs tech journalists, we want to stay ahead of the curve as well, so we invited Vlastimil Vodicka, CEO and Founder of Leadspicker, to shed some light on the subject, and explain how investors can use AI in venture capitalto spot promising startups and founders early on even without coding skills. Leveraging the power of language models, such as OpenAI ‘s Chat GPT, as well as social media, such as LinkedIn, for startup sourcing and categorization can change the way VCs develop their traditional dealflow and evaluate startups. ![]()
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