Measures degree of deep tech focus based on (a) key words present on the startup’s webpage, tech background of the leadership (such as a CTO with a PhD, etc.), and (c) top tier technical university affiliation (MIT, Caltech, Cambridge, etc.).
Measures team quality by (a) C-levels with PhDs, (b) top tier university affiliation (Harvard, Stanford, Oxford, Imperial College, INSEAD, MIT, etc.), (c) investor quality (as a proxy for the startup team’s support network).
Product/Market fit :
Measures (a) client traction by the number of clients or trials featured on the startup’s website or as indicated by a reputable startup database, or the startup’s own submitted info or pitch deck, and (b) customer attrition rate (with higher scores for demonstrated client retention).
Measures (a) social score (mentions in press/blogs by other websites or in social media, media coverage, YouTube views), (b) awards and/or prize money, (c) various other quantitative metrics, such as KPIs, TAM, ROI, CAC, NPI (if available), (d) Yegii Publisher score (based on the quality of the startup’s website), and (e) mount of capital raised (if available), based on a pool of data from online sources or reputable startup databases.
Editor score :
carefully chosen editors’ scores may be weighted up to 50%, when applied, given the importance of expert, subjective opinion and intuition in evaluating early stages of innovation where few metrics exist.