In academia there's an author metric called the H-index> A scientist has index h if h of his/her Np papers have at least h citations each, and the other (Np − h) papers have no more than h citations each.I wonder if you could apply this same methodology to VC (the v-index)> A VC firm has index v if v of his/her Nc funded companies have had valuations of at least \$v million, and the other (Nc − v) funded companies have had valuations of no more than \$v million. (In some inflation adjusted dollars.)\$mm 0 0 0 0 5 10 10 15 22v-index = 5\$mm 2 4 4 5 8 8 8 10 14 17 20 22 25 50 55 60 100 200v-index = 10Python snippit for calculation.`````` def vindex(valuations): return max(v if sum(x >= v for x in valuations) >= v else 0 for v in range(len(valuations)))``````

 Your metric uses the arbitrary unit of 1 million dollars/company. The h-metric uses the imperfect but substantially less arbitrary unit of a citation/paper.
 From another comment:> pg says in a later tweet reply [1] that it is 37 out of 511.So ycombinator's v-index is likely 37.

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