Esper
company on 3 shows · 9 statements across 2 episodes · said 43 times in 3 episodes since 2020
the Neon Show 23 
American Optimist 19 
20VC 1
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the Neon Show 23American Optimist 1920VC 1
2022 23 mentions in 1 episode
2021 19 mentions in 1 episode
every mention on every show, scene by scene, with the transcript →
9 statements about Esper, every show
Gopalan: Hardware teams hesitate to push updates for fear of bricking devices
“Right now, it's taken for granted on the cloud. Like, I got a security patch that I have to push out. It's like, within weeks, you're like working on, as soon as you got a solution, you're pushing it up. Devices is like you're paranoid about what you need, wha…”
Gopalan: Modern restaurant locations run at least 15 to 16 cloud-connected devices
“If you look at a restaurant these days, like 15, 16 devices per store at the minimum, from the kitchen display, what's in the kitchen backroom, to point of sale, to what ordering, To tabletop, to self-service kiosk, they want, and they're all cloud connected n…”
Gopalan: Esper manages 2,000 devices per location across thousands of retail stores
“Another example is in a retail store that we have. There's I mean, it's a product that I can't talk about too much, but as you, you're talking about 2000 devices per store. And, It's an amazing use case. And you can, and there are thousands of these stores and…”
Yadhu Gopalan says Esper grew revenue 4x and devices 18x in 2021
“We saw Forex growth in revenue from 20 20, we had We ended the number of customers, logos around 202 hundred, around 250 3000 or more customers using our platform 18 X the number of devices.”
Yadhu Gopalan says Esper is adding 1,500 new devices every day
“The amazing thing is right now we're growing at more than 1500 devices per day. And we'll get there about, like, we're predicting about 50,000 devices within the next couple of months.”
Yadhu Gopalan claims Esper maintains absolutely zero customer churn
“It's testament to like the zero churn we have across the board. We have customers that love us and will give, give feedback.”
Momand: Esper built an NLP database of US and Canadian regulations
“So basically when we started us where we invested a ton of time into building up this like database and ontology of regulations across the federal state and Canada, and we've applied some cool NLP and other, you know, tech things to analyze the data and find s…”
Momand: Government agencies collect zero data on real-world regulatory enforcement outcomes
“So what I think is actually probably the biggest issue right now in the regulatory state, we're working on the process, but agencies, you know, write these regulations and then they put them into administration and enforcement. You know, they've written their …”
Momand: Government agencies make policy using Excel and Word without centralized records
“Typically when Esper like starts, you know, working with an agency, they are making policy like on the fly using Excel spreadsheets, word, like they don't have a single place of like record for all of their data.”