SaaS Interviews with CEOs, Startups, Founders
782: Crypto: With $50k MRR, He's Buildling Crypto Database To Track Accuracy
14 Sep 2017
Chapter 1: What is the main topic discussed in this episode?
Bruce Pond had success early on with many other startups, but now really focused, it will specifically ascribe, obviously now building big chain DB, really to create a master record across all these different kind of blockchains and Bitcoin and Ethereum, etc., Specifically, he gave the example of tracking materials in a hat.
Chapter 2: What is BigchainDB and how does it relate to blockchain technology?
Currently serving about 5 to 10 customers, paying 5 to 10 grand per month. His goal is to get 100 grand to 100 grand per month in MRR by the end of this year.
Chapter 3: What challenges did Bruce face while building Ascribe.io?
About $6 million raised with a team of 20, mostly engineers, PhDs. This is The Top, where I interview entrepreneurs who are number one or number two in their industry in terms of revenue or customer base.
Chapter 4: How does BigchainDB plan to monetize its services?
You'll learn how much revenue they're making, what their marketing funnel looks like, and how many customers they have. I'm now at $20,000 per talk.
Chapter 5: What is the significance of having a single source of truth in blockchain?
Five and six million. He is hell-bent on global domination.
Chapter 6: How does BigchainDB enable tracking of products from inception to consumer?
We just broke our 100,000-unit soul mark. And I'm your host, Nathan Latka.
Chapter 7: What metrics is Bruce using to measure success at BigchainDB?
Many of you listening right now don't have time to listen to every B2B SaaS CEO that I've interviewed.
Chapter 8: What are the current revenue figures and customer base for BigchainDB?
If you want to get access to the database I've created with year-over-year growth rates, customer accounts, margins, and many, many other data metrics and data points, you can go to getlatka.com. Here's the thing, though. This database, I keep it to myself. It's so freaking valuable.
And to preserve the quality of the data and make sure that the people that have access to it have a true advantage, I'm only letting 10 companies on each month. We're full this month, but you can go to getlatka.com to get on the waiting list for next month. Look, there's big people on the waiting list. The biggest VCs you've ever heard of, you've probably heard of them.
They're big, private equity, billions and billions under management. It's an impressive waiting list. Go get on now at getlatka.com. This is episode 782. Coming up tomorrow morning, I talked to Alex. He is the CEO of Scout RFP, and they have three times their year-over-year monthly recurring revenue to over $1.2 million. How How'd they do it? Hello, everybody. My guest today is Bruce Pon.
He is the CEO and founder of Big Chain DB or Big Chain Database. We're going to dive into it. He's playing in the crypto world. Bruce, are you ready to take us to the top?
Absolutely.
All right. Good. So crypto, obviously, right now is all the rage. We've had many people on like Anthony, who was there early on behind Ethereum. You know, Naval has contributed many, many other people. You're kind of playing in the space in a different way. Help us understand what big chain database does and how you relate to the crypto world.
Absolutely. So I think. Most people just think about blockchains as Bitcoin and Ethereum, and then now there's all these altcoins and stuff like that. The reason why we built BigchainDB was to handle a specific type of use case that most people have kind of overlooked, and that's managing data, data-driven use cases on a blockchain.
If you look at something like Bitcoin, it's payments, cryptocurrency in a global network. If you look at Ethereum, it's like business logic in a global network. And it's kicked off all these ICOs and stuff like that. So, you know, you have business logic in a blockchain. that people have completely passed over is data on a blockchain.
So trusted data for enterprise use cases, for consumer applications. So for instance, your private data, supply chain information, energy data, stuff for automotive, all these types of things are fundamentally data-driven and then you can build business logic on top of it. And based on that business logic, you can exchange kind of like Bitcoins or other types of value, even fiat.
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