Favourable Predisposition to Company’s Thesis
Of 4,000+ active venture investors, ones that are most likely to invest in a given Company are those that have a predisposition in favour of the Company’s thesis. To identify investors that have such a predisposition, founders often identify similar companies and then look at the investors that invested in them.Case Study
John is building a Company that uses AI to automate the workflows of sales teams. In order to identify investors that have a predisposition in favour of this thesis, he looks at investors that have previously invested in AI tools to automate the workflows of customer success teams.
By examining the prior investing patterns of investors, users are able to identify which investors have a predisposition in favour of their Company’s thesis.
By examining the prior investing patterns of investors, users are able to identify which investors have a predisposition in favour of their Company’s thesis.
Investors in Select Companies
With Metal, founders can identify investors in similar companies in an efficient manner.1
Developing Lists of Similar Companies
Users can first use the “Company Search” module to enter their Company description. Based on this description, Metal’s algorithm identifies all VC-backed companies that are similar to the provided description.Subsequently, from the search results, users can shortlist companies that are actually similar, and are not direct competitors. Shortlisted companies can be saved in the form of a list.
2
Identifying Investors behind Shortlisted Companies
Once a list has been saved, users can then load that in the “Prior Investments” filter within the “Similarity” filter header on Investor Search. This allows users to view all investors that invested in any of the shortlisted companies. Users can then apply other filters in tandem to further refine their investor search list.