How a Cockroach Startup Became a $2.2B Market Leader | EliseAI, Minna Song
Minna Song, co-founder & CEO of EliseAI turned 100 VC rejections into a $2.2B company after 8 years of relentless hustle and survival. While others chased hy...
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Intro
- 00:00If you want to be the best company in
- 00:01the world, I think you have to work the
- 00:02hardest in the world. It's like anything
- 00:04else. If you want to be the best
- 00:05athlete, you want to be the best
- 00:06musician, you're practicing non-stop.
- 00:08Work in a tech startup is exactly the
- 00:10same thing. When you don't have a lot of
- 00:12money, that's not something that you can
- 00:14kind of fall back on. You have to do
- 00:16everything yourself. And you should talk
- 00:18to all of your customers, handle all of
- 00:20your customer success, support tickets.
- 00:22You should do sales yourself. that helps
- 00:25you really focus on exactly what your
- 00:27customers are asking for and what
- 00:29they're willing to pay for. When we
- 00:31launched our product with our first
- 00:33national customer, we were just two
- 00:35people at the time. It was just me and
- 00:37and Tony, my co-founder. It was a
- 00:3924-hour service. So, that meant he
- 00:42stayed up until 4:00 a.m. and I woke up
- 00:44at 4:00 a.m. and watched it. That was
- 00:47probably the most physically draining
- 00:49time, but we were able to survive. Yeah,
- 00:52it was a really exhausting time of
- 00:54course, but it doesn't really matter.
- 00:56You have problems. You have customers
- 00:59that need things. It's just about every
- 01:01single day doing everything that you can
- 01:04prevent your company from dying. And
- 01:06even when you're exhausted, I think
- 01:07that's a pretty motivating. It's a
- 01:09stressful thing to start a company. It's
- 01:10a stressful thing to work at a at a
- 01:13startup that's growing. You have to take
- 01:15one step in front of the other just to
- 01:17solve problems over time. being a
- 01:18cockroach where you can't let anything
- 01:21kill you ever.
- 01:24My name is Minong and I'm the co-founder
- 01:26and the CEO of Elise AI. Elise AI is a
- 01:29tech company that uses AI to drive real
- 01:32world impact and we are starting with
- 01:33two of the most critical industries that
- 01:35make up over 40% of the US GDP. the
- 01:38housing industry and the healthcare
- 01:39industry. Elise AAI is used by over 10%
- 01:43of the US apartments today and over
- 01:45twothirds of the largest property
- 01:47management companies use our software.
- 01:49We raised a $250 million series E round
- 01:52which was led by Andre and Horowitz and
- 01:55participated in by Bessemer Venture
- 01:56Partners as well as previous investors
- 01:58Sapphire Ventures and Navatas Capital.
- 02:00Our company has been doubling
- 02:02consistently year-over-year for the last
- 02:04four years, and we passed 100 million
- 02:06annual recurring revenue earlier this
- 02:08year.
- 02:10[Music]
Why 90% of Founders Fail to Find PMF (And How Not to Be One of Them)
- 02:18I met my co-founder in college. So,
- 02:21while I went to MIT, he actually met him
- 02:24studying abroad at the University of
- 02:25Cambridge in the UK. So we we both come
- 02:28from software engineering backgrounds
- 02:29and felt that we should apply technology
- 02:32to doing something good in the world. I
- 02:34think it's pretty obvious tech is the
- 02:36fastest way to bring massive scale
- 02:39impact in the world. So it was pretty
- 02:41clear that we were going to start a
- 02:42technology company someday. When we
- 02:44started Elise, we actually wanted to
- 02:47start understanding the industry that we
- 02:49were operating in and really knew
- 02:51nothing about the housing industry
- 02:53except that we wanted to do something
- 02:55really, really big in it. And so when I
- 02:57got started, I started working at a real
- 03:00estate firm here in New York City. And
- 03:02that gave me a great opportunity to meet
- 03:04a lot of people. So I took a front desk
- 03:06job where I greeted everyone who came
- 03:09through the door. I picked up all the
- 03:11phone calls and that's how we got the
- 03:14experience and understanding of the
- 03:15industry that helped us decide what we
- 03:17wanted to build. I uh actually don't
- 03:19think it's extreme at all. I think it's
- 03:22actually quite insane when people don't
- 03:24try to spend time really understanding a
- 03:26problem before they try to solve it and
- 03:28then they waste years and years of
- 03:30building technology that never finds
- 03:32product market fit. So, I think this was
- 03:34maybe one of the most obvious uh and
- 03:37rational decisions that we've ever made,
- 03:39which is just just learn learn about the
- 03:41people that you're building for. Learn
- 03:43about the problems. Uh especially
- 03:46because we didn't come from a background
- 03:47in housing at all. It's really
- 03:49important, especially in industries like
- 03:51housing and healthcare where so much
- 03:53happens in person. It doesn't all happen
- 03:56in the digital world. So, you can't just
- 03:57look at metrics. You can't look at users
- 04:00and how they interact with your online
- 04:02products. You have to be there to
- 04:04understand how they're interacting with
- 04:06the real world. The problem was pretty
- 04:08obvious. I would say that it wasn't
- 04:10something that we had an aha moment. It
- 04:13was just something people were
- 04:14constantly complaining about. We just
- 04:16keep tackling those one by one. Their
- 04:18frustrations, they couldn't reach a
- 04:20building. No one's answering their phone
- 04:21calls. No one's answering their emails.
- 04:23And so that's the exact problem that we
- 04:25tried to solve. It wasn't really a
- 04:26question about what the problem was. It
- 04:28was really a question of is the
- 04:31technology the right technology to solve
- 04:33the problem and was it the right time in
- 04:362017? A lot of people didn't know what
- 04:38AI was. A lot of people didn't believe
- 04:41that AI could answer their emails. A lot
- 04:45of people didn't believe that AI would
- 04:47do things better than humans in any
- 04:49capacity. A lot of people thought this
- 04:51market was small because companies that
- 04:53had been built in the industry before
- 04:56never grew to be that large of
- 04:58companies, but I can see that other
- 05:00people over the years have have not seen
- 05:03real estate as a sexy industry. But I
- 05:06think housing was always sexy to us
- 05:08because it's a fundamental human need.
- 05:10It's an incredibly important part of
- 05:12society and our lives. So why wouldn't
- 05:15that be sexy?
Brutal Lessons From Our First 10 Customers
- 05:20The first 10 customers were really
- 05:21brutal. We were cold calling. We were
- 05:25knocking on doors all across New York
- 05:26City. We got lucky with a few customers
- 05:29who signed on and then we started
- 05:31selling to national property management
- 05:33companies. It was pretty crazy that we
- 05:35ended up signing the first and second
- 05:37largest apartment owners at the time
- 05:39onto our platform for their entire
- 05:41portfolio. And we were just two people
- 05:44at the time. It was just me and and
- 05:46Tony, my co-founder. So, we had these
- 05:49large customers buying into a product
- 05:51that two people had built that was meant
- 05:54to run their entire real estate
- 05:56portfolio.
- 05:58How we convinced these large customers
- 06:00to work with us. I remember I went to a
- 06:03meeting. It was me and 12 executives, so
- 06:07all of their sea level team essentially
- 06:09sitting in a room with just me. I was in
- 06:12my young 20s. It was three hours of
- 06:14asking me a ton of questions. Can your
- 06:16product do this? Can your product do X?
- 06:18Can your product do Y? And honestly, I
- 06:20think I said for three hours straight, I
- 06:22just said, "No, it doesn't do that." And
- 06:24um I walked out of that meeting, called
- 06:26my co-founder and said, "This was the
- 06:28worst meeting of our lives. Just forget
- 06:30it. That deal is dead." And then the
- 06:32next day they called me back. The COO
- 06:34called me and said, "We're going to do
- 06:36this together. We're going to help you
- 06:37build the product." They knew we were
- 06:39early. We were not hiding the fact that
- 06:41we were a tiny startup, but they
- 06:43believed in us because they believed
- 06:45they had a big problem and that they
- 06:47could work with honest founders to
- 06:49actually solve that. I think when you're
- 06:51working with your first few customers,
- 06:52you have to build a lot of things that
- 06:54they ask for. A lot of people are really
- 06:56afraid of building too much or
- 06:57overfitting for certain customers, but
- 06:59the reality is that fear will paralyze
- 07:02you. You really just need to build what
- 07:03they ask for and then as you get
- 07:05customer two, three, four, it'll give
- 07:07you a lot more data points. And maybe
- 07:09you've built something that's not
- 07:11sustainable in the long run, but quite
- 07:13honestly, I believe that your first
- 07:15customers, you will have to service that
- 07:18forever. That's a really common
- 07:20attribute of early adopters is they want
- 07:22a lot of control. That's why they picked
- 07:24to work with an early stage startup in
- 07:26the first place. But they do want a lot
- 07:28of control and usually they want to
- 07:30dictate what your road map looks like.
- 07:32I'd say don't be afraid. I I think you
- 07:34will make mistakes. But that's a normal
- 07:36process I think in in building a massive
- 07:39company.
Only Cockroach Founders Survive
- 07:43In our first round of funding, we had
- 07:45literally over 100 rejections. A lot of
- 07:47the rejections were the same. They're
- 07:49like, "We're not interested in this
- 07:51market. We only look at horizontal SAS
- 07:54or we only look at enterprise SAS and
- 07:58things in the housing industry were not
- 08:00really interesting to them. When we
- 08:01didn't have a lot of funding, we really
- 08:03just relied on ourselves and our ability
- 08:05to build features that our customers
- 08:07were asking for. I think we were cash
- 08:10constrained. So, we didn't have huge
- 08:11engineering team to build lots of
- 08:13features in parallel. But I think that
- 08:15prioritization helped us build the
- 08:17things that were absolutely the most
- 08:19critical that had the highest amount of
- 08:21value, not ancillary features or
- 08:24features that were just providing kind
- 08:25of optics for customers to to think that
- 08:29they were kind of featureful products.
- 08:31So I think money doesn't actually solve
- 08:33a lot of problems. I think when people
- 08:35raise a lot of funding early on, they
- 08:37they think that they're successful and
- 08:39they throw a lot of money at problems
- 08:41and and think that those problems are
- 08:42solved. But really what happens is those
- 08:45problems end up doing and growing and
- 08:48and they're still there. And when you
- 08:50don't have a lot of money, that's not
- 08:52something that you can kind of fall back
- 08:54on. Your problems are very obvious and
- 08:57you know if you solve them or if you
- 09:00hadn't solved them. Eventually, as we
- 09:02started building a track record of
- 09:04showing real growth in the company,
- 09:06investors started to see what was
- 09:08possible. Yeah, it was a really
- 09:10exhausting time of course, but it
- 09:12doesn't really matter. You have
- 09:14problems. You have customers that need
- 09:16things. You have to take one step in
- 09:18front of the other just to solve
- 09:19problems over time. Being a cockroach
- 09:21where um you can't let anything kill you
- 09:24ever.
The Secret to Hypergrowth
- 09:28What's our secret sauce? I think a lot
- 09:30of our growth has come from building a
- 09:31lot of products. No matter what customer
- 09:34we're pitching to in the housing
- 09:36industry, we have a product that solves
- 09:38the problem that they are thinking about
- 09:40today. So whether that's something about
- 09:41their leasing process, whether it's
- 09:43something about their maintenance
- 09:44process, we have a solution for them and
- 09:46that's really just come from having
- 09:48really high product velocity as a
- 09:49company. Another big reason is that
- 09:51we've just hired really, really well.
- 09:52I've spent most of my time focused on
- 09:54getting the best and most talented
- 09:56people I can possibly get. I
- 09:58interviewed, personally, interviewed the
- 10:00first 400 hires that we made. It's been
- 10:02incredibly important to have really
- 10:04strong people because when you're moving
- 10:06so fast and you have so many different
- 10:08products, it turns out that a lot of
- 10:10people have to make decisions
- 10:12themselves. And you need to have really
- 10:14smart and really hardworking people that
- 10:15are going to move the company forward.
- 10:17Because if you're moving quickly, the
- 10:19CEO cannot make all the decisions for
- 10:21you. The CTO cannot make all of the tech
- 10:23decisions for you. You need everyone to
- 10:25have really strong business acumen. One
- 10:27of the most painful hiring mistakes I
- 10:29made was probably around 2021 when we
- 10:33were raising our first big round of
- 10:35funding, our series B. And um I hired a
- 10:37ton of people who were really good at
- 10:40specialist roles. And the challenge I
- 10:42was trying to solve was that everyone
- 10:44everything was so chaotic. Every early
- 10:47stage employee was working on five
- 10:49different things and the constant
- 10:51complaint was I can't get anything done
- 10:54well because I keep switching context
- 10:57all the time which is a very common
- 10:58early stage company problem. And then I
- 11:01decided to solve that by hiring people
- 11:02who were kind of really good
- 11:04specialists. So if somebody was doing
- 11:06five things now they could pick the one
- 11:09that they really wanted to do and then
- 11:10you'd hire four other people that were
- 11:12specialists. The problem is everyone
- 11:14started losing the context. So they'd be
- 11:17building really well but in five
- 11:19different directions and the company was
- 11:21not moving forward. We were not building
- 11:22products that our customers cared about.
- 11:24We were not selling products that our
- 11:26customers cared about and it was just
- 11:28way too early to make those types of
- 11:30hiring decisions. So, I went back to
- 11:32really valuing generalist hires and I
- 11:36found that we could move a lot quicker
- 11:39if a lot of people were able to context
- 11:42switch were able to have success across
- 11:45many different domains, whether that was
- 11:47sales or customer success. They could
- 11:50think technically at the same time as
- 11:51speaking with customers. And those ended
- 11:54up being some of our most valuable hires
- 11:55for a very long time.
Forget Shortcut, Just 24/7 Grind
- 12:00When we launched our product with our
- 12:03first national customer, we needed to
- 12:05keep the service running 24/7 and this
- 12:08was the most important deal of our
- 12:10lives. It had to go perfectly. So Tony
- 12:13and I were monitoring the system 24/7
- 12:15because we knew this was our shot. He
- 12:17stayed up until 4:00 a.m. and I woke up
- 12:20at 4:00 a.m. and watched it. And by the
- 12:22way, at the same time, we were building
- 12:24new features with this customer. We were
- 12:26trying to sell new customers. We were
- 12:29trying to support our existing customers
- 12:31and other portfolios that we had signed
- 12:33on. So that was probably the most
- 12:35physically draining time. I still work 7
- 12:38days a week 90 hour 100 hours is not
- 12:40really sustainable. That's when you're
- 12:42actually starting to eat into sleep and
- 12:44and deteriorating over time. But 90
- 12:47hours is sustainable. It just means you
- 12:49wake up, you go to work and you go home
- 12:51and you go to sleep and you get proper
- 12:53sleep and then you just do it again
- 12:54tomorrow. And you do that every single
- 12:56day. And that is how problems get
- 12:58solved. I think that my suggestion for
- 13:00founders is always if they're not
- 13:02working 7 days a week, they're not
- 13:04growing their company as fast as they
- 13:05should. Their company is going to be
- 13:07beaten by another company that is
- 13:09working that their founders are working
- 13:117 days a week. So that's just extra time
- 13:14and effort that will accelerate the
- 13:16growth of your company. If you want to
- 13:18be the best company in the world, I
- 13:19think you have to work the hardest in
- 13:20the world. It's like anything else. If
- 13:23you want to be the best athlete, you
- 13:24want to be the best musician, you're
- 13:26practicing non-stop. Tech startup is
- 13:27exactly the same thing. The culture here
- 13:29is filled with a lot of people who just
- 13:31really like solving hard problems. And
- 13:33you're surrounded by so many people that
- 13:35have this type of culture. There's this
- 13:37kind of intense gravity that when you
- 13:40bring in new people, they feel that
- 13:42energy and they really want to meet that
- 13:44bar.
- 13:46I actually think that most of the next
- 13:48unicorns will be products that are built
- 13:51in unsexy industries. I think a lot of
- 13:53the most important problems that are
- 13:56left to solve in the world are problems
- 13:58that are typically deemed unsexy. If
- 14:00they seem sexy, that means people are
- 14:03already very excited about them and
- 14:06they're already trying to solve them.
- 14:07And so long term, everything that we try
- 14:10to do in housing and healthcare is to
- 14:13make these industries much more
- 14:15financially stable and much more
- 14:17attractive so that we can have more
- 14:18housing providers and we can have more
- 14:20healthcare providers and that serves all
- 14:22of us. And we want capital to be put in
- 14:25the most fundamental and important parts
- 14:27of society that serve us as humans.