Making a bet that we have startups has never been so exciting – or more risky. Historical operators such as Openii, Microsoft and Google are reducing their skills to swallow many of the smaller offers of companies. At the same time, the new startups are reaching the growth phase much faster that Thanory has historically.
But defining the “growth phase” in startups is not so cut today.
Jill Chase, partner of Capitulg, said on stage a Techcrunch sessions Who is seeing more companies that are only one year old, but have already reached tens of millions of recurring annual revenues and over $ 1 billion in evaluation. While these companies could be called mature due to their evaluation and generation of revenue, often lack safety, hiring and necessary executive infrastructures.
“We are really exciting. It represents this new extremely rapid growth trend, which is fantastic,” said Chase. “On the other hand, it is a bit frightening because I will pay an evaluation of $ x billion for this company that did not exist 12 months ago and things are changing so quickly.”
“Who knows who is in a garage somewhere, perhaps in this audience somewhere, starting a company that in 12 months will be much better than this where I am investing that it has reached $ 50 million”, continued Chase. “So he made growth by investing a little confused.”
To cut the noise, Chase said that it is important that investors feel good for the category and the “founder’s ability to adapt very quickly and see in the corners”.
He indicated that the AI coding startup cursor is an excellent example of a company that “jumped on the right use of the generation of code AI which was available and possible given technology at that moment.
However, the cursor will have to work to maintain his advantage.
“By the end of this year there will be software engineers Ai,” Chase said. “In that scenario, what the cursor has Teday will be a little lifting. It is operational in the cursor team to see that future and think, ok, how can I start building my product so that when those models come out and are much more powerful, the surface of the product and I can connect very quickly those and move on to the state of the generation of code?”
