
Get in the KNOW
on LA Startups & Tech
XPrediction: LA's Startup Shakeout Will Continue Into 2023, Setting Survivors Up for Long-Term Success
Spencer Rascoff serves as executive chairman of dot.LA. He is an entrepreneur and company leader who co-founded Zillow, Hotwire, dot.LA, Pacaso and Supernova, and who served as Zillow's CEO for a decade. During Spencer's time as CEO, Zillow won dozens of "best places to work" awards as it grew to over 4,500 employees, $3 billion in revenue, and $10 billion in market capitalization. Prior to Zillow, Spencer co-founded and was VP Corporate Development of Hotwire, which was sold to Expedia for $685 million in 2003. Through his startup studio and venture capital firm, 75 & Sunny, Spencer is an active angel investor in over 100 companies and is incubating several more.
For years, the VC funding environment in Los Angeles and beyond has defied the laws of gravity. When it came to tech expansion, the unofficial ethos seemed to be: what goes up must stay up. But recent forces have conspired to paint a much different picture than we’re used to seeing, and the effects are being felt at every stage of the startup ecosystem.
My prediction: while the future funding forecast looks bleak and will stay that way for a while, it’s not without its bright spots, especially for those who are in it for the long run.
The Fed Effect
Here’s where it started: In the public equity markets, the tide began to turn as the Fed started raising interest rates in order to tame inflation. This jumpstarted a risk-off mentality, which happens when there’s increased uncertainty, even pessimism, about the economic outlook. Higher discount rates due to higher interest rates lead to growth stocks trading down.
It’s been a dazzling display of volatility. Market-wide, we’ve seen high-growth tech stocks decline significantly in the past six months— many tech stocks are down 50%-plus in the last year. 2022 was rough.
On the extreme end, Carvana shares have dropped 97%. Shopify stock is down 80% in 2022 and even Amazon, which to-date has seemed relatively bulletproof, lost more than 40% of its value since January 1. These are good examples of not only the problem at hand, but also the opportunity.
Crossover investors—those who do both public and private market investing—suddenly see public market opportunities again. They can now buy high-quality liquid assets in public markets at historically low multiples.
That’s the exact opposite of a few years ago when public equities were valued very highly. Then, crossover investors simply couldn’t find great returns in public markets, and chose instead to fish upstream into the private market investing tide pool to find viable prospects. That helped fuel the expansive L.A. (and elsewhere) startup success we’ve known to-date.
Stock-Induced Gridlock
Now that crossover investors have returned more to the public markets (or have stayed on the sidelines), and more traditional growth investors see a more difficult path for their companies to IPO, the local venture landscape has changed. Late-stage funding opportunities and the IPO markets have essentially shut down. Most companies that raised money at high valuations can’t go back because they can’t command such a high price in the public markets.
A year or two ago, it was typical to see a $5 million seed round at a $25 million valuation. Today, that’s an incredibly difficult hurdle to jump. I see numbers closer to $2 to $3 million at $10 to $15 million valuations, and even that feels like a significant success.
This is where the gridlock begins. This scenario forces late-stage private companies into a pretty undesirable corner. They essentially have two options: A) raise a flat or down round or B) cut expenses and extend runway. While neither are ideal, most companies who can are choosing the lesser of two business evils: option B.
This means that the majority of growth-stage companies raising now are only doing so because they’ve run out of cash and will shut down without additional funding. This reinforces the prevalence of down rounds in the market.
And at the end of the line? IPOs, the final step, simply aren't happening right now. It’s gridlock from start to finish.
Ripples, Then Rebound
One of the biggest implications of these market shifts is that not only do companies have less capital, but also less access to future capital. These days, cutting costs is tantamount to survival, and though necessary, it’s having a ripple effect throughout the tech industry. Hiring has slowed. Marketing expenditure has decreased. Expenditures overall are down. On top of these startup trends, consider the major layoffs happening at Meta, Snapchat and other large- and small-scale players, and it’s hard to see anything but a grim outlook ahead.
But my perspective: the long view isn’t all bad. Because companies are taking this chance to focus on unit profitability and sustainable growth, they’re setting themselves up for future success.
The L.A. market is particularly poised to weather this storm, in large part because it’s a hub for sectors that are standing strong mid-downturn.
Clean tech, a catchall name for everything from green energy to sustainable building materials to electric cars, is booming, and L.A. is benefiting. One of the pioneers of the space, Rivian, is based just outside L.A. in Irvine, and companies like Universal Hydrogen, Loop and EVGo are all based in the area.
The defense tech and aerospace industries are also on the uptick, and L.A. is home to some of the most innovative startups in those verticals. Take for instance Apex Space, a Culver City-based startup dedicated to producing better spacecraft at scale, and Relativity Space, which is building the first autonomous rocket factory and launch services for satellites. One of the largest venture rounds of the year was just announced for Anduril, a tech-enabled defense contractor based in Costa Mesa. SpaceX, one of the most highly valued private companies, is based in Hawthorne and continues to thrive. (Disclosure: my venture fund, 75 & Sunny Ventures, is an investor in Apex, Relativity and SpaceX.)
Mega rounds for powerhouse companies like Anduril and SpaceX during this down market have meant that, in contrast to most of the country, late-stage funding in L.A. has actually increased relative to early-stage funding. Still, early-stage startups in L.A. continue to thrive. In terms of deal count, seed and early-stage investments make up 75% of L.A.’s venture rounds, driving the flywheel that has made L.A. tech so dynamic over the past few years.
If you hated the last few months, as I have, remember that this too shall pass. The Fed will slow and eventually halt rate rises, and I’d bet the halt will be followed by rate declines (in late 2023?). My prediction: by late 2023 or 2024, the funding market will improve and the weather will turn. Maybe we won’t get completely back to “75 and Sunny” for a while, but the gruesome second half of 2022, which will continue in 2023, will subside late next year. 2023 will be a lost year, a year in which startups should focus on surviving not thriving. Those that make it to the other side of this downturn, like those which survived the 2008 and 2000 downturns, will become long-term winners and be stronger for having weathered this storm.
- LA Poised for Jobs Jump as Electric Vehicle Industry Surges Across State ›
- Column: Startup Funding — Where We Are and Where We’re Going ›
- LA VCs Predict: What's In Store for the 2023 Tech Industry - dot.LA ›
- How a Fragile Economic Climate is Impacting SoCal VCs - dot.LA ›
Spencer Rascoff serves as executive chairman of dot.LA. He is an entrepreneur and company leader who co-founded Zillow, Hotwire, dot.LA, Pacaso and Supernova, and who served as Zillow's CEO for a decade. During Spencer's time as CEO, Zillow won dozens of "best places to work" awards as it grew to over 4,500 employees, $3 billion in revenue, and $10 billion in market capitalization. Prior to Zillow, Spencer co-founded and was VP Corporate Development of Hotwire, which was sold to Expedia for $685 million in 2003. Through his startup studio and venture capital firm, 75 & Sunny, Spencer is an active angel investor in over 100 companies and is incubating several more.
The Learning Perv: How I Learned to Stop Worrying and Love Lensa’s NSFW AI
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.”
- Is AI Making the Creative Class Obsolete? ›
- A Decentralized Disney Is Coming. Meet the Artists Using AI to Dethrone Hollywood ›
- Art Created By Artificial Intelligence Can’t Be Copyrighted, US Agency Rules ›
- The Case for AI Art Generators - dot.LA ›
- Class Action Suit Filed By Artists Against AI Art Companies - dot.LA ›
- AI Apps Are Here To Stay, But What Does That Mean - dot.LA ›
- Instagram Founders' Gatekeeping Aspirations with Artifact - dot.LA ›
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.
From Uber to Atoms: Travis Kalanick’s $1.7 Billion Return
🔦 Spotlight
Hello LA,
Nine years after his turbulent exit from Uber, Travis Kalanick is back with a new company, an enormous war chest and, apparently, some unfinished business.
Los Angeles-based Atoms announced this week that it has secured a $1.7 billion equity investment led by Andreessen Horowitz, with a16z cofounder Ben Horowitz joining its board. Bain Capital, Fifth Wall, Uber and several other investors participated, while a roster of major banks, including Goldman Sachs, JPMorgan and Bank of America, are listed as debt partners.
Yes, Uber itself is now backing the comeback of its famously ousted cofounder. Silicon Valley may preach disruption, but it has always appreciated a good redemption arc.
Atoms is the culmination of the company Kalanick has spent the past eight years building largely out of public view. Formerly known as City Storage Systems, the parent company behind CloudKitchens, it is now bringing its businesses together under one ambitious umbrella: Atoms Food, Atoms Mining and Atoms Transport.
The premise is that AI’s next major frontier will not be confined to screens, chatbots or software. Atoms wants to build what Kalanick calls a “computer for the physical world,” using software, sensors, robotics and AI to automate how physical goods are produced, stored and moved.
That means tackling decidedly unglamorous but enormous industries such as mining, construction, food production and heavy transportation. Rather than betting on humanoid robots that can theoretically do everything, Atoms is focused on specialized machines designed to perform specific, economically useful jobs.
In other words, the robot does not need a face. It needs a business model.
For a16z, the investment is as much a bet on Kalanick as it is on industrial AI. In an essay bluntly titled “Travis Is Back,” Horowitz argues that Kalanick possesses the rare mix of technical range, endurance and sheer force of will required to drag old-line industries into a new technological era. The firm’s broader thesis is that robotics will eventually handle much of the repetitive work involved in making, moving and storing physical goods, creating a market potentially as consequential as computing itself.
There is also some history being settled. Kalanick, Horowitz and Marc Andreessen nearly partnered during Uber’s early days but never completed the deal. In a new conversation about Atoms, Kalanick and Horowitz revisit that missed opportunity and the long road that brought them back together. Sixteen years later, the check is considerably larger.
The scale of the investment is remarkable, but so is its location. Atoms is headquartered in Los Angeles, giving the city a front-row seat to one of tech’s boldest industrial AI bets. It also reinforces something increasingly evident across LA’s startup ecosystem: the next era of AI will not only be written in code. It will be built in kitchens, warehouses, mines, vehicles and factories.
Whether Atoms becomes the operating system for the physical world or simply proves that even $1.7 billion cannot make atoms behave like bits remains to be seen. But Kalanick is taking another enormous swing, and this time, Los Angeles is where the comeback story begins.
More from this week’s LA startup and venture scene below.
🤝 Venture Deals
LA Companies
- Hawthorne-based Andrenam raised an $18M Series A led by Upfront Ventures, with participation from Valor Equity Partners, Also Capital, First Round Capital and Long Journey Ventures, bringing its total funding to $30M. The maritime defense startup will use the capital to scale production of its sonar-equipped buoys and expand its AI-powered platform for detecting and tracking underwater activity. - learn more
- Long Beach-based Bluecore Energy emerged from stealth with approximately $10M in oversubscribed financing led by Slauson & Co., with participation from Harlem Capital, Precursor Ventures, Hartbeat Ventures and others. The company is developing small modular nuclear reactors that can operate aboard floating barges and deliver zero-emission power to ports, data centers and other critical infrastructure. - learn more
- Vikk AI raised $4.2M across a $700K pre-seed and $3.5M seed round, with backing from MagnaSci Ventures and several angel investors. The legal AI startup will use the funding to expand its consumer assistant, document tools and advertising platform that connects users with lawyers based on their needs and location. - learn more
- Final Boss Sour raised $4M in strategic funding from Evolution VC Partners, The Angel Group, Mondelēz International’s SnackFutures Ventures and others, bringing its total funding to $12M. The gaming-inspired real-fruit snack brand will use the capital to expand into major retailers, including Walmart, Kroger, Target and 7-Eleven, while developing new products and collaborations. - learn more
- Overture Ventures participated in Fluxco’s $26M seed round, led by 8VC and Congruent Ventures, alongside Trust Ventures, Koch Disruptive Technologies and others. The Austin startup uses AI to help companies source electrical transformers from more than 150 manufacturers, reducing a procurement process that can take months to just days. - learn more
- Alexandria Venture Investments and Wedbush Healthcare Partners participated as returning investors in Crystalys Therapeutics’ oversubscribed $130M Series B, which was led by Frazier Life Sciences. The San Diego biotech will use the funding to advance Phase 3 trials and commercialization preparations for dotinurad, its once-daily oral treatment for gout. - learn more
- Rebel Fund participated in Klaimee’s $5.5M seed round, led by FundersClub’s Alexander Mittal and backed by ex/ante, Pioneer Fund, Y Combinator and others. The San Francisco insurtech startup certifies and insures autonomous AI agents, helping businesses manage financial and liability risks that traditional cyber and technology policies may not cover. - learn more
- M13 participated in Skyfall AI’s undisclosed funding round alongside Fidelity, Inovia Capital, Touring Capital, NextView Ventures and Garage Capital. Founded by former Microsoft researchers, the San Francisco startup is developing AI systems capable of making long-term decisions across finance, operations, marketing and other business functions, with the goal of building an autonomous enterprise. - learn more
- Interlagos Capital led Beyond Reach Labs’ $10M seed round, with participation from TerraForge Capital, Off-Piste Capital, Y Combinator and Augur VC. The startup will use the funding to scale production of its deployable solar-array hardware for satellites at a new 16,000-square-foot facility in Brooklyn, with plans to achieve flight qualification by the end of 2026. - learn more


