Series A
12 statements across 11 episodes · 3 bullish · 2 bearish · 11 people on the record · first statement Aug 16, 2017 by Vanessa Torridilla · across every show →
Everything said about Series A, oldest first
Aug 16, 2017 positive
Aug 16, 2017 neutral
Mar 7, 2018 neutral
Apr 13, 2018 positive
Sep 8, 2018
Garg: Gobble had 75% enterprise revenue when raising Series A
“When we went to raise Series A, the investors asked, how much of your money is from families, and the model you're pitching, and how much of your money is from catering, and from enterprise? And at that point, some 75% was from enterprise, because when you do …”
Sep 19, 2018 negative
Oct 3, 2018 positive
Front hit product-market fit at Series A with $1.5M ARR
“And I think when we raised our series A, and so we raised our series A, we were making, I think, 1.5 million in AR. So a little over a hundred K MR. I think that's where, when I felt like some companies were using the product, and even if I had demoed All the …”
Jul 10, 2019
Feb 23, 2022
Caldwell says most startup failures come from getting zero customers, not fundraising
“What failure usually looks like for a lot of our companies is they get zero real customers. Zero. It's not that the failure was they couldn't get a Series A, it's that they just, like, bombed. Like, complete disaster.”
Sep 15, 2022 negative
Taggar: Easy Early Funding for Repeat Founders Acts Like Taking Out Debt
“I'll say you find that eventually though, it's a little bit like taking out debt, honestly, where it's like maybe early on as a second time founder, like maybe the seed rounds easier, maybe even a series A is easier, but the later, the longer you work in your …”
Nov 26, 2024 neutral
Dec 22, 2025 neutral
Taggar: Post-Series A AI startups still require traditional hiring to scale
“Yeah, like, post-series A, it actually largely feels, like, the playbook is the same, and the companies might be smaller for the same amount of revenue, but it Feels it's entirely because they hit the revenue so fast and there's still just bottlenecked on how …”