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What Are LA’s Hottest Startups of 2022? See Who VCs Picked in dot.LA’s Annual Survey
Harri Weber
Harri is dot.LA's senior finance reporter. She previously worked for Gizmodo, Fast Company, VentureBeat and Flipboard. Find her on Twitter and send tips on L.A. startups and venture capital to harrison@dot.la.
In Los Angeles—like the startup environment at large—venture funding and valuations skyrocketed in 2021, even as the coronavirus pandemic continued to surge and supply chain issues rattled the economy. The result was a startup ecosystem that continued to build on its momentum, with no shortage of companies raising private capital at billion-dollar-plus unicorn valuations.
In order to gauge the local startup scene and who’s leading the proverbial pack, we asked more than 30 leading L.A.-based investors for their take on the hottest firms in the region. They responded with more than two dozen venture-backed companies; three startups, in particular, rose above the rest as repeat nominees, while we've organized the rest by their amount of capital raised as of January, according to data from PitchBook. (We also asked VCs not to pick any of their own portfolio companies, and vetted the list to ensure they stuck to that rule.)
Without further ado, here are the 26 L.A. startups that VCs have their eyes on in 2022.
1. Whatnot ($225.4 million raised)
Whatnot was the name most often on the minds of L.A. venture investors—understandably, given its prolific fundraising year. Whatnot raised some $220 million across three separate funding rounds in 2021, on the way to a $1.5 billion valuation.
The Marina del Rey-based livestream shopping platform was founded by former GOAT product manager Logan Head and ex-Googler Grant LaFontaine. The startup made its name by providing a live auction platform for buying and selling collectables like rare Pokémon cards, and has since expanded into sports memorabilia, sneakers and apparel.
2. Boulevard ($40.3 million raised)
Boulevard’s backers include Santa Monica-based early-stage VC firm Bonfire Ventures, which focuses on B2B software startups. The Downtown-based company fits nicely within that thesis; Boulevard builds booking and payment software for salons and spas. The firm has worked with prominent brands such as Toni & Guy and HeyDay.
3. GOAT ($492.7 million)
GOAT launched in 2015 as a marketplace to help sneakerheads authenticate used Air Jordans and other collectible shoes. It has since grown at a prolific rate, expanding into apparel and accessories and exceeding $2 billion in merchandise sales in 2020. The startup sealed a $195 million funding round last summer that more than doubled its valuation, to $3.7 billion.
The Best of the Rest
VideoAmp ($578.6 raised)
Nielsen competitor VideoAmp gathers data on who's watching what across streaming services, traditional TV and social apps like YouTube. The company positions itself as an alternative to so-called "legacy" systems like Nielsen, which it says are "fragmented, riddled with complexity and inaccurate." In addition to venture funding, its total funding figure includes more than $165 million in debt financing.
Mythical Games ($269.4 million raised)
Seizing on the NFT craze, Mythical Games is building a platform that powers the growing realm of “play-to-earn games.” Backed by NBA legend Michael Jordan and Andreessen Horowitz, the Sherman Oaks-based startup’s partners include game publishers Abstraction, Creative Mobile and CCG Lab.
FloQast ($202 million raised)
FloQast founder Michael Whitmire says he got a “no” from more than 100 investors in the process of raising a seed round. Today, the accounting software company is considered a unicorn.
Nacelle ($70.8 million raised)
Nacelle produces docuseries, books, comedy albums and podcasts. The media company’s efforts include the Netflix travel series “Down To Earth with Zac Efron.”
Wave ($66 million raised)
A platform for virtual concerts, Wave has hosted performances by artists including Justin Bieber, Tinashe and The Weeknd. The company says it has raised $66 million to date from the likes of Warner Music and Tencent.
Papaya ($65.2 million raised)
Sherman Oaks-based Papaya looks to make it easier to pay “any” bill—from hospital bills to parking tickets—via its mobile app.
LeaseLock ($63.2 million raised)
Based in Marina del Rey, LeaseLock says it’s on a mission to eliminate security deposits for apartment renters.
Emotive ($58.1 million raised)
Emotive sells text message-focused marketing tools to ecommerce firms like underwear brand Parade and men's grooming company Beardbrand.
Dray Alliance ($55 million raised)
Based in Long Beach, Dray says its mission is to “modernize the logistics and trucking industry.” Its partners include Danish shipping company Maersk and toy maker Mattel.
Coco ($43 million raised)
Coco makes small pink robots on wheels (you may have seen them around town) that deliver food via a remote pilot. Its investors include Y Combinator and Silicon Valley Bank.
HiveWatch ($25 million raised)
HiveWatch develops physical security software. Its investors include former Twitter executive Dick Costollo and NBA star Steph Curry’s Penny Jar Capital.
Popshop ($24.5 million raised)
Whatnot competitor Popshop is betting that live-shopping is the future of ecommerce. The West Hollywood-based firm focuses on collectables such as trading cards and anime merchandise.
First Resonance ($19.4 million raised)
Founded by former SpaceX engineer Karan Talati, First Resonance runs a software platform for makers of electric cars and aerospace technology. Its clients include Santa Cruz-based air taxi company Joby Aviation and Alameda-based rocket company Astra.
Open Raven ($19 million raised)
Founded by Crowdstrike and Microsoft alums, Open Raven aims to protect user data. The cybersecurity firm’s investors include Kleiner Perkins and Upfront Ventures.
Fourthwall ($17 million raised)
When an actor faces the camera and speaks directly to the audience, it’s known as “breaking the fourth wall.” Named after the trope, Venice-based Fourthwall offers a website builder that’s designed for content creators.
The Non Fungible Token Company ($15 million raised)
The Non Fungible Token Company creates NFTs for musicians under the name Unblocked. Its investors include Jay Z’s Marcy Venture Partners and Shawn Mendez.
Safe Health Systems ($15 million raised)
Backed by Mayo Clinic Ventures, Safe Health develops telehealth software and offers tools for enterprises to launch their own health care apps.
Intro ($11.6 million raised)
Intro’s app lets you book video calls with experts—from celebrity stylists, to astrologists, to investors.
DASH Systems ($8.5 million raised)
With the tagline “Land the package, not the plane,” DASH Systems is a Hawthorne-based shipping company that builds hardware and software for automated airdrops.
Ettitude ($3.5 million raised)
With a focus on sustainability, Ettitude is a direct-to-consumer brand that sells bedding, bathroom textiles and sleepwear.
Afterparty ($3 million raised)
Along similar lines as Unblocked, Afterparty creates NFTs for artists and content creators such as Clay Perry and Tropix.
Heart to Heart ($0.75 million raised)
Heart to Heart is an audio-focused dating app that “lets you listen to the story behind the pictures in a profile.” Precursor Ventures led the pre-seed funding round.
Frigg (undisclosed)
Frigg makes hair and beauty products that contain cannabinoids such as CBD. The Valley Village-based company raised an undisclosed seed round in August.
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Harri Weber
Harri is dot.LA's senior finance reporter. She previously worked for Gizmodo, Fast Company, VentureBeat and Flipboard. Find her on Twitter and send tips on L.A. startups and venture capital to harrison@dot.la.
'I Don't Think Anybody Could Have Imagined What Actually Happened.' Former Consumer CEO Jeff Wilke on Building the Amazon Empire
07:00 AM | May 03, 2021
illustration by Eduardo Ramón Trejo
In March, Jeff Wilke quietly stepped away from Amazon, the company he was instrumental in building from an online book retailer to one of the most valuable and influential corporations in the world.
As CEO of Amazon Worldwide Consumer since 2016, he oversaw the company's vast retail business, Prime, the Amazon marketplace, Amazon stores, marketing and Whole Foods.
When Wilke joined Amazon in 1999 to oversee operations the company was doing about $2 billion of revenue a year. Now it brings in about $1 billion every day and last week announced its sales grew by an astonishing 44% year-over-year.
Wilke was long considered the second most important person in the company behind Amazon CEO Jeff Bezos, who shocked the world by announcing his own departure in February.
Bezos called Wilke his tutor and he was seen as a likely successor, but that job instead went to Andy Jassy, the chief executive of Amazon Web Services.
In a wide ranging conversation with dot.LA – among his first since leaving – Wilke says he has no regrets and felt it simply time to do something else.
Wilke also talked about what it was like to work for Bezos and his reaction to last month's failed unionization vote at an Amazon warehouse in Alabama.
This interview has been edited for length and clarity.
You left Amazon only a few weeks ago. What's it been like these past couple of weeks, not being at the helm of that giant operation?
Jeff Wilke: It's certainly been an adjustment and I'm still adjusting. I was there over 21 years and it's a part of me in so many different ways. I have so many connections there still and friends who are there. I spent the first two weeks learning to code in Python, which I thought would be a really good way to stay connected to the engineers that build Amazon every day and upgrade my skills since I hadn't written code in modern languages.
So you're not on the golf course. You're learning Python?
Yeah, it was super fun. It was very immersive. It was a reminder to me of how coding compounds creativity and invention.
Why did you want to depart Amazon?
I just said it was time. I didn't spend any time through the years carefully charting some course. We were building what we hoped would be a lasting, important company and worrying about the customer experience and I got to a point where I felt like it was time to do other things.
Did the job become not as fun with all of the scrutiny from Washington and organized labor and just the giant pressure you were under with all that?
The job was just as fun when I started to think about leaving, which was well before the pandemic. And it was really meaningful last year in terms of all that was accomplished. But it just felt time for me to move on.
Did you want to be the next CEO?
I never really thought about it because I always imagined Jeff doing it forever. When I was making my decision that wasn't what I was thinking about.
But when you heard he was stepping down, were you like, "I should have just stuck around a little longer?"
No. I was super excited and I am super excited for [new Amazon Worldwide Consumer CEO] Dave Clark and for Andy Jassy.
Were you surprised when the other Jeff said he was leaving?
Yes
It's interesting that both of you who had been there over 20 years and in his case founded the company decided at this moment to leave. Do you think he took some inspiration from you?
(Laughs) That's hard to say but I think in many ways the last year or so has been quite a time of self-reflection for many people. It's not surprising to me that if people were maybe thinking in the back of their mind about making a change, the events of the last year would have caused them to think even harder about it. I don't know for sure why Jeff chose the particular time he chose, but he has so many things in his life that he wants to focus on, too. And I'm just really happy for him.
How do you think the company will be different under Andy Jassy?
Andy was a part of the S-team [Amazon's senior leadership group] for a long time and contributed materially to a bunch of the things that are part of the culture. He and I worked with a group of people on a couple of the revisions to the leadership principles that really have guided the company for nearly two decades. And of course the business and culture that he built with the team and AWS is a big part of Amazon and certainly a big part of the technical underpinnings of the way Amazon works. And that's not going to change at all. So I think it's a terrific team with a great mission and a lot of runway because of the businesses that they're in. I'm going to remain a fan.
What was Jeff Bezos like to work for?
You vote with your feet at work, and if I didn't think he was somebody that I enjoyed working for and that I could learn from, I wouldn't have had him as my boss for over 20 years. He and I have different strengths in different areas where we were able to help each other out by learning from each other and of course Amazon is more than just one or two or 10 people – it's thousands and now actually over a million people.
In those early days what did you see Amazon becoming? Did you just think it would be a big bookseller or could you have seen this global colossus?
I don't think anybody could have imagined what actually happened. Too many things had to fall into place. For instance, there was no iPhone or Android system in 1999 when I joined. People weren't carrying around what are basically supercomputers in their hands, which radically changed the way people interact with the World Wide Web. The delivery networks were not nearly as capable as they became over those 20 years. There's a ton of work to do to get costs to a point where you could afford to offer something like Prime. We didn't have a studio so the idea that we would be creating movies and TV shows as a complement to the delivery services as part of the subscription program called Prime – I think it would have been hard to envision all these things in detail.
What was your reaction to the union vote in Alabama failing by a pretty wide margin?
Jeff hit this well in the shareholder letter; the company can always be better at taking care of employees. If I were still there, I wouldn't have hung my hat on the outcome of that particular vote. I would have said there are some signals that we're receiving that say we have more work to do. We should be proud of what we've done – proud of our safety record and proud that we pay industry leading wages and proud that we have 20 weeks of family leave for people who started an unskilled hourly job on day one, which is really unheard of. So, we have all these things that we've done that are great and then there's a lot of things that we can do to get better.
What did you think of "Nomadland"?
The work camper thing was something that sort of naturally evolved. There were groups of people who had come to work only for the holiday at Amazon and they showed up in campers and they were making great money and then they left post-holiday. They started coming back every year. They really enjoyed it. They built email networks together and they coordinated their work. They asked Amazon to help with finding parking lots for the campers and we were happy to do that. But it was really an organic thing. It just sprouted up. I really enjoyed my trips to the fulfillment centers, hearing their stories and then seeing them come back year after year.
Is it hard when you order something now from Amazon and it doesn't arrive on time and you're like, "why did this happen?" Is it hard to get that out of your system after all these years?
Of course. I mean, the team knows any time there's a defect, I'm going to send an email and that's not going to change.
Part two: Jeff Wilke reveals his next chapter.
Lead illustration by Eduardo Ramón Trejo.
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Ben Bergman
Ben Bergman is the newsroom's senior finance reporter. Previously he was a senior business reporter and host at KPCC, a senior producer at Gimlet Media, a producer at NPR's Morning Edition, and produced two investigative documentaries for KCET. He has been a frequent on-air contributor to business coverage on NPR and Marketplace and has written for The New York Times and Columbia Journalism Review. Ben was a 2017-2018 Knight-Bagehot Fellow in Economic and Business Journalism at Columbia Business School. In his free time, he enjoys skiing, playing poker, and cheering on The Seattle Seahawks.
https://twitter.com/thebenbergman
ben@dot.la
The Learning Perv: How I Learned to Stop Worrying and Love Lensa’s NSFW AI
01:09 PM | December 09, 2022
Drew Grant
It took me 48 hours to realize Lensa might have a problem.
“Is that my left arm or my boob?” I asked my boyfriend, which is not what I’d consider a GREAT question to have to ask when using photo editing software.
“Huh,” my boyfriend said. “Well, it has a nipple.”
Well then.
I had already spent an embarrassing amount of money downloading nearly 1,000 high-definition images of myself generated by AI through an app called Lensa as part of its new “Magical Avatar” feature. There are many reasons to cock an eyebrow at the results, some of which have been covered extensively in the last few days in a mounting moral panic as Lensa has shot itself to the #1 slot in the app store.
The way it works is users upload 10-20 photos of themselves from their camera roll. There are a few suggestions for best results: the pictures should show different angles, different outfits, different expressions. They shouldn’t all be from the same day. (“No photoshoots.”) Only one person in the frame, so the system doesn’t confuse you for someone else.
Lensa runs on Stable Diffusion, a deep-learning mathematical method that can generate images based on text or picture prompts, in this case taking your selfies and ‘smoothing’ them into composites that use elements from every photo. That composite can then be used to make the second generation of images, so you get hundreds of variations with no identical pictures that hit somewhere between the Uncanny Valley and one of those magic mirrors Snow White’s stepmother had. The tech has been around since 2019 and can be found on other AI image generators, of which Dall-E is the most famous example. Using its latent diffusion model and a 400 million image dataset called CLIP, Lensa can spit back 200 photos across 10 different art styles.
Though the tech has been around a few years, the rise in its use over the last several days may have you feeling caught off guard for a singularity that suddenly appears to have been bumped up to sometime before Christmas. ChatGPT made headlines this week for its ability to maybe write your term papers, but that’s the least it can do. It can program code, break down complex concepts and equations to explain to a second grader, generate fake news and prevent its dissemination.
It seems insane that when confronted with the Asminovian reality we’ve been waiting for with either excitement, dread or a mixture of both, the first thing we do is use it for selfies and homework. Yet here I was, filling up almost an entire phone’s worth of pictures of me as fairy princesses, anime characters, metallic cyborgs, Lara Croftian figures, and cosmic goddesses.
And in the span of Friday night to Sunday morning, I watched new sets reveal more and more of me. Suddenly the addition of a nipple went from a Cronenbergian anomaly to the standard, with almost every photo showing me with revealing cleavage or completely topless, even though I’d never submitted a topless photo. This was as true for the male-identified photos as the ones where I listed myself as a woman (Lensa also offers an “other” option, which I haven’t tried.)
Drew Grant
When I changed my selected gender from female to male: boom, suddenly, I got to go to space and look like Elon Musk’s Twitter profile, where he’s sort of dressed like Tony Stark. But no matter which photos I entered or how I self-identified, one thing was becoming more evident as the weekend went on: Lensa imagined me without my clothes on. And it was getting better at it.
Was it disconcerting? A little. The arm-boob fusion was more hilarious than anything else, but as someone with a larger chest, it would be weirder if the AI had missed that detail completely. But some of the images had cropped my head off entirely to focus just on my chest, which…why?
According to AI expert Sabri Sansoy, the problem isn’t with Lensa’s tech but most likely with human fallibility.
“I guarantee you a lot of that stuff is mislabeled,” said Sansoy, a robotics and machine learning consultant based out of Albuquerque, New Mexico. Sansoy has worked in AI since 2015 and claims that human error can lead to some wonky results. “Pretty much 80% of any data science project or AI project is all about labeling the data. When you’re talking in the billions (of photos), people get tired, they get bored, they mislabel things and then the machine doesn’t work correctly.”
Sansoy gave the example of a liquor client who wanted software that could automatically identify their brand in a photo; to train the program to do the task, the consultant had first to hire human production assistants to comb through images of bars and draw boxes around all the bottles of whiskey. But eventually, the mind-numbing work led to mistakes as the assistants got tired or distracted, resulting in the AI learning from bad data and mislabeled images. When the program confuses a cat for a bottle of whiskey, it’s not because it was broken. It’s because someone accidentally circled a cat.
So maybe someone forgot to circle the nudes when programming Stable Diffusion’s neural net used by Lensa. That’s a very generous interpretation that would explain a baseline amount of cleavage shots. But it doesn’t explain what I and many others were witnessing, which was an evolution from cute profile pics to Brassier thumbnails.
When I reached out for comment via email, a Lensa spokesperson responded not by directing us to a PR statement but actually took the time to address each point I’d raised. “It would not be entirely accurate to state that this matter is exclusive to female users,” said the Lensa spokesperson, “or that it is on the rise. Sporadic sexualization is observed across all gender categories, although in different ways. Please see attached examples.” Unfortunately, they were not for external use, but I can tell you they were of shirtless men who all had rippling six packs, hubba hubba.
“The stable Diffusion Model was trained on unfiltered Internet content, so it reflects the biases humans incorporate into the images they produce,” continued the response. Creators acknowledge the possibility of societal biases. So do we.” It reiterated the company was working on updating its NSFW filters.
As for my insight about any gender-specific styles, the spokesperson added: “The end results across all gender categories are generated in line with the same artistic principles. The following styles can be applied to all groups, regardless of their identity: Anime and Stylish.”
I found myself wondering if Lensa was also relying on AI to handle their PR, before surprising myself by not caring all that much. If I couldn’t tell, did it even matter? This is either a testament to how quickly our brains adapt and become numb to even the most incredible of circumstances; or the sorry state of hack-flack relationships, where the gold standard of communication is a streamlined transfer of information without things getting too personal.
As for the case of the strange AI-generated girlfriend? “Occasionally, users may encounter blurry silhouettes of figures in their generated images. These are just distorted versions of themselves that were ‘misread’ by the AI and included in the imagery in an awkward way.”
So: gender is a social construct that exists on the Internet; if you don’t like what you see, you can blame society. It’s Frankenstein’s monster, and we’ve created it after our own image.
Or, as the language processing AI model ChatGPT might put it: “Why do AI-generated images always seem so grotesque and unsettling? It's because we humans are monsters and our data reflects that. It's no wonder the AI produces such ghastly images - it's just a reflection of our own monstrous selves.”
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Drew Grant
Drew Grant is dot.LA's Senior Editor. She's a media veteran with over 15-plus years covering entertainment and local journalism. During her tenure at The New York Observer, she founded one of their most popular verticals, tvDownload, and transitioned from generalist to Senior Editor of Entertainment and Culture, overseeing a freelance contributor network and ushering in the paper's redesign. More recently, she was Senior Editor of Special Projects at Collider, a writer for RottenTomatoes streaming series on Peacock and a consulting editor at RealClearLife, Ranker and GritDaily. You can find her across all social media platforms as @Videodrew and send tips to drew@dot.la.
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