Here Are the LA Seed Startups Top VCs Wish They'd Invested In

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.

Here Are the LA Seed Startups Top VCs Wish They'd Invested In

Los Angeles is home to around 5,000 startups, the majority of which are in their young, formative years.

Which of those thousands are poised for a breakout in 2021? We asked dozens of L.A.'s top VCs to weigh in. We wanted to know which companies they would have invested in if they could go back and do it all over again.


Yesterday, our investors picked their favorite Series-A or later startups, and not surprisingly there was more consensus, with familiar names like PopShop Live and Scopely leading the way.

But the most lucrative returns come from identifying companies in their infancy, as recent blockbuster IPOs vividly demonstrate. For instance, Sequoia's $600,000 seed check to Airbnb in 2009 accounted for 70% of its shares in the company and helped it get into competitive later rounds. When the vacation rental service went public last month, Sequoia's stake was worth $4.8 billion.

What will be the next breakout? The complete list is below and is ranked in random order except for the first three, which stood out by virtue of getting multiple votes: Pipe enables companies with recurring revenues to tap into their deferred cash flows with an instant cash advance. Clash App, Inc., is a TikTok alternative launched by a former employee of the social network in August. And XCLAIM allows bankruptcy claims to be digitally traded.

Boiling

Pipe logo

Pipe

Pipe provides financial services to help cloud service companies tap into their deferred cash flows, allowing them to continue growing without taking on debt or giving up ownership. For subscription-based businesses, this makes it "as if all of your customers converted to annual plans overnight," according to the company.

Founded by Harry Hurst, Josh Mangel and Zain Allarakhia, the company raised $66 million of seed funding earlier this year in a deal led by Craft Ventures and Fin Venture Capital.

clash logo

Clash App Inc.

Created by former Vine-r Brendon McNerney and entrepreneur and marketing expert P.J. Leimgruber, Clash App is a short form video platform similar to TikTok, but without built-in sound libraries. It's geared toward empowering creators with innovative monetization options and inclusive communities.

xclaim logo

XCLAIM 

XCLAIM has created an electronic platform where bankruptcy claims that take a notoriously long time to process can be digitally traded. Founded in 2018 by Matthew Sedigh, who has operated in the corporate restructuring field for more than a decade, the company says "rather than wait years for the bankruptcy court process to issue payment distributions, creditors can now access immediate liquidity by selling their claim to interested buyers." Earlier this year, it raised a $4 million seed round led from Luma Launch, First Round Capital and Freestyle Capital.

Simmering

Freck Beauty logo

Freck Beauty

Freck Beauty manufactures beauty products intended to make the user feel seen. Remi Brixton, the company's chief executive officer, founded the startup in 2015 when she was in search of a freckle makeup product. When she couldn't find one, she launched her own, the FRECK OG. The East Los Angeles-based company raised an undisclosed amount of seed funding in a deal led by KarpReilly and Stage 1 Fund earlier this year.

The Skills logo

The Skills

The Skills wants to be the master class on sports and life. The Los Angeles-based startup launched two months ago and offers classes from gold medal Olympians — including swimmer Michael Phelps and volleyball player Kerri Walsh Jennings — and Grand Slam tennis Champion Maria Sharapova. In December, it closed a $5 million seed round backed by Boston-based Will Ventures, Global Founders Capital, 8VC, Maveron, Hack VC and Correlation VC.

mapped logo

Mapped 

Founded by Shaun Cooley, former chief technology officer of Cisco's Internet-of-Things (IoT) and Industries division, Mapped provides IoT services in El Segundo.

The company raised $3 million of seed funding in a deal led by Greycroft earlier this year, putting its pre-money valuation at $9 million.

dataplor logo

DataPlor 

Created in 2016 by Geoffrey Michener, Dataplor indexes micro-businesses in Mexico (and will soon be expanding to other countries in Central and South America) and sells the data to larger companies.The company relies on contractors in those countries to collect the information from local businesses. It raised $4 million from ff Venture Capital, Quest Venture Partners and Space Capital earlier this year and expects to use it to expand into more Latin American countries.

Grow Credit logo

Grow Credit 

Launched by serial entrepreneur Joe Bayen, Grow Credit helps customers improve their credit score by providing credit for subscription services like Netflix and Spotify. Their MasterCard can help consumers with thin or damaged credit scores and the small line of credit can be upgraded for a fee. The company closed a $2 million seed round earlier this year with participation from Mucker Labs.

outer logo

Outer 

The two-year-old Santa Monica-based company has seen business boom during the pandemic as retail stores shut down and online orders surged. The direct-to-consumer outdoor furniture brand uses backyards as showrooms and raised $4.3 million in a seed round earlier this year led by Mucker Capital. Founded by Jake Liu and Terry Lin, a former designer at Pottery Barn, Outer aims to appeal to Restoration Hardware and Pottery Barn shoppers.

WhatNot

A livestreaming reseller of collectibles like FunkoPop vinyl figurines, Pokémon cards and sports cards, WhatNot taps into a growing retail trend and promises that the collectibles are verified, much like sneaker reseller GOAT.

The startup secured $4 million in seed funding this month from Scribble Ventures, Wonder Ventures, Operator Partners, Y Combinator, Liquid 2 Ventures, Twenty Two Ventures and other investors. The company plans to use the funds to expand into video games, comics books, designer toys and vintage fashion.

Fourthwall

Fourthwall is the developer of an internet platform that helps content creators launch fully-branded websites focused on interacting with fans. Their website tag phrase is "Make a living doing what you love," which is complemented by their model, which provides creators 100% ownership of their website and brand.

Founded by Walker Williams and Will Baumann, the company has raised $4 million to date, from investors Defy Partners, Lightspeed Venture Partners and Initialized Capital Management.

shop latinx logo

Shop LatinX 

Shop LatinX calls itself the "leading beauty, fashion, and lifestyle ecommerce designed by and made for Latinas." The brainchild of two Los-Angeles-based Latinas, Brittany Chavez and Raquel Garcia launched their website before Black Friday in 2016. It features more than 200 brands.

First Resonance logo

First Resonance 

Founded by former SpaceX software engineer Karan Talati and Neal Sarraf, First Resonance promises to ease the workflow for manufactures with software intended to provide greater visibility into production and test product development lifecycle. The company raised $1.75 million of seed funding last year from Wavemaker Partners, Stage Venture Partners and PLG Ventures, among clothes.

vurbl logo

Vurbl

Vurbl offers curated, one-stop-shop of what it calls the best audio on the internet, which can include podcasts but also goes well beyond that from religious sermons to court arguments. The new platform founded by CEO Audra Gold is being built with the $1.3 million pre-seed round Vurbl closed in September led by AlphaEdison with participation from Halogen Ventures and Ten13.

pocketwatch logo

PocketWatch 

Former Disney executive Chris Williams founded the studio that produces family-focused content from YouTube stars. This year it launched clock.work, an advertising agency designed to help major brands reach kids. Investors include Viacom, Greycroft, Third Wave Digital and United Talent Agency, along with strategic angels including Robert Downey Jr. and Jon Landau.

pocketlist logo

PocketList

The app allows renters to see and share apartments that will soon be available before they're listed — reducing the time properties sit vacant and potentially heating up competition among apartment hunters. It launched earlier this year. The company has $2.8 million in seed funding led by David Sacks' Craft Ventures along with Abstract VC, Wonder Ventures and angel investor Spencer Rascoff, co-founder of Zillow and dot.LA.

Quilt logo

Quilt 

The audio-based social platform promises to be the spot for "live, supportive, feel good conversations—just like hopping on the phone with a friend when you need it most." It lets people start a conversation around any topic or join by listening. Quilt raised an undisclosed amount of venture funding from Freestyle Capital in 2019.

tonebase logo

Tonebase

Founded by Abhi Nayar, Chris Garwood and Igor Licthmann, Tonebase provides high-level music education online. Yale School of Music alumnus Garwood and Lichtman told their alma mater that it built with the idea that it was "a way for people everywhere to learn from the very best musicians around the world — individuals who, due to their busy performing and teaching careers, are traditionally accessible to only a select few." The company has raised an undisclosed amount from Launch fund, e.ventures and other undisclosed last May.

Second Spectrum logo

Second Spectrum

Launched in 2013 by Jeff Su, Yu-Han Chang and Rajiv Maheswaran, Second Spectrum already has deals with the NBA and English Premier League. This year it scored another one with Major League Soccer to use its optical tracking system to evaluate and analyze performance.

Second Spectrum puts their tracking cameras inside the stadium. Machine learning and AI-powered analytics provide detailed data that helps coaches and others better understand the game from player speed and deceleration to shot velocity in near real time. That technology can also be used on broadcast platforms to give fans more insight. The company raised about $20 million backed by CAA Ventures, Raine Ventures and The Chernin Group in 2018.

Toucan logo

Toucan 

Founded by CEO Taylor Nieman, Shaun Merritt and Brandon Dietz, Toucan is a Chrome browser extension that lets people learn a new language. It scans websites you visit and translates some words into the language you want to learn. The Santa Monica-based company most recently raised a $3 million round backed by GSV Ventures, Amplifyher Ventures, and Wonder Ventures, among others.

Serve Automation logo

Serve Automation

Created by former SpaceX engineers, Serve Automation aims to change the way foods get delivered. It has secured $7 million in a seed round and is operating in stealth mode.

Lead art by Candice Navi.

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Creandum’s Carl Fritjofsson on the Differences Between the Startup Ecosystem in Europe and the U.S.

Decerry Donato

Decerry Donato is a reporter at dot.LA. Prior to that, she was an editorial fellow at the company. Decerry received her bachelor's degree in literary journalism from the University of California, Irvine. She continues to write stories to inform the community about issues or events that take place in the L.A. area. On the weekends, she can be found hiking in the Angeles National forest or sifting through racks at your local thrift store.

Carl Fritjofsson
Carl Fritjofsson

On this episode of the LA Venture podcast, Creandum General Partner Carl Fritjofsson talks about his venture journey, why Generative-AI represents an opportunity to rethink products from the ground up, and why Q4 2023 and Q1 2024 could be "pretty bloody" for startups.

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AI Is Undergoing Some Growing Pains at a Pivotal Moment in Its Development

Lon Harris
Lon Harris is a contributor to dot.LA. His work has also appeared on ScreenJunkies, RottenTomatoes and Inside Streaming.
AI Is Undergoing Some Growing Pains at a Pivotal Moment in Its Development
Evan Xie

One way to measure just how white-hot AI development has become: the world is running out of the advanced graphics chips necessary to power AI programs. While Intel central processing units were once the most sought-after industry leaders, advanced graphics chips like Nvidia’s are designed to run multiple computations simultaneously, a baseline necessity for many AI models.

An early version of ChatGPT required around 10,000 graphics chips to run. By some estimates, newer updates require 3-5 times that amount of processing power. As a result of this skyrocketing demand, shares of Nvidia have jumped 165% so far this year.

Building on this momentum, this week, Nvidia revealed a line-up of new AI-related projects including an Israeli supercomputer project and a platform utilizing AI to help video game developers. For smaller companies and startups, however, getting access to the vital underlying technology that powers AI development is already becoming less about meritocracy and more about “who you know.” According to the Wall Street Journal, Elon Musk scooped up a valuable share of server space from Oracle this year before anyone else got a crack at it for his new OpenAI rival, X.AI.

The massive demand for Nvidia-style chips has also created a lucrative secondary market, where smaller companies and startups are often outbid by larger and more established rivals. One startup founder compares the fevered crush of the current chip marketplace to toilet paper in the early days of the pandemic. For those companies that don’t get access to the most powerful chips or enough server space in the cloud, often the only remaining option is to simplify their AI models, so they can run more efficiently.

Beyond just the design of new AI products, we’re also at a key moment for users and consumers, who are still figuring out what sorts of applications are ideal for AI and which ones are less effective, or potentially even unethical or dangerous. There’s now mounting evidence that the hype around some of these AI tools is reaching a lot further than the warnings about its drawbacks.

JP Morgan Chase is training a new AI chatbot to help customers choose financial securities and stocks, known as IndexGPT. For now, they insist that it’s purely supplemental, designed to advise and not replace money managers, but it may just be a matter of time before job losses begin to hit financial planners along with everyone else.

A lawyer in New York just this week was busted by a judge for using ChatGPT as part of his background research. When questioned by the judge, lawyer Peter LoDuco revealed that he’d farmed out some research to a colleague, Steven A. Schwartz, who had consulted with ChatGPT on the case. Schwartz was apparently unaware that the AI chatbot was able to lie – transcripts even show him questioning ChatGPT’s responses and the bot assuring him that these were, in fact, real cases and citations.

New research by Marucie Jakesch, a doctoral student from Cornell University, suggests that even users who are more aware than Schwartz about how AI works and its limitations may still be impacted in subtle and subconscious ways by its output.

Not to mention, according to data from Intelligent.com, high school and college students already – on the whole – prefer utilizing ChatGPT for help with schoolwork over a human tutor. The survey also notes that advanced students tend to report getting more out of using ChatGPT-type programs than beginners, likely because they have more baseline knowledge and can construct better and more informative prompts.

But therein lies the big drawback to using ChatGPT and other AI tools for education. At least so far, they’re reliant on the end user writing good prompts and having some sense about how to organize a lesson plan for themselves. Human tutors, on the other hand, have a lot of personal experience in these kinds of areas. Someone who instructs others in foreign languages professionally probably has a good inherent sense of when you need to focus on expanding your vocabulary vs. drilling certain kinds of verb and tense conjugations. They’ve helped many other students prepare for tests, quizzes, and real-world challenges, while computer software can only guess at what kinds of scenarios its proteges will face.

A recent Forbes editorial by academic Thomas Davenport suggests that, while AI is getting all the hype right now, other forms of computing or machine learning are still going to be more effective for a lot of basic tasks. From a marketing perspective in 2023, it’s helpful for a tech company to throw the “AI” brand around, but it’s not magically going to be the answer for every problem.

Davenport points to a similar (if smaller) whirlwind of excitement around IBM’s “Watson” in the early 2010s, when it was famously able to take out human “Jeopardy!’ champions. It turns out, Watson was a general knowledge engine, really best suited for jobs like playing “Jeopardy.” But after the software gained celebrity status, people tried to use it for all sorts of advanced applications, like designing cancer drugs or providing investment advice. Today, few people turn to Watson for these kinds of solutions. It’s just the wrong tool for the job. In that same way, Davenport suggests that generative AI is in danger of being misapplied.

While the industry and end users both race to solve the AI puzzle in real time, governments are also feeling pressure to step in and potentially regulate the AI industry. This is much easier said than done, though, as politicians face the same kinds of questions and uncertainty as everyone else.

OpenAI CEO Sam Altman has been calling for governments to begin regulating AI, but just this week, he suggested that the company might pull out of the European Union entirely if the regulations were too onerous. Specifically, Altman worries that attempts to narrow what kinds of data can be used to train AI systems – specifically blocking copyrighted material – might well prove impossible. “If we can comply, we will, and if we can’t, we’ll cease operating,” Altman told Time. “We will try, but there are technical limits to what’s possible.” (Altman has already started walking this threat back, suggesting he has no immediate plans to exit the EU.)

In the US, The White House has been working on a “Blueprint for an AI Bill of Rights,” but it’s non-binding, just a collection of largely vague suggestions. It’s one thing to agree “consumers shouldn’t face discrimination from an algorithm” and “everyone should be protected from abusive data practices and have agency over how their data is used.” But enforcement is an entirely different animal. A lot of these issues already exist in tech, and are much larger than AI, and the US government already doesn’t do much about them.

Additionally, it’s possible AI regulations won’t work well at all if they aren’t global. Even if you set some policies and get an entire nation’s government to agree, how to set similar worldwide protocols? What if US and Europe agree but India doesn’t? Everyone around the world accesses roughly the same internet, so without any kind of international standard, it’s going to be much harder for individual nations to enforce specific rules. As with so many other AI developments, there’s inherent danger in patchwork regulations; it could allow some companies, or regions, or players to move forward while others are unfairly or ineffectively stymied or held back.

The same kinds of socio-economic concerns around AI that we have nationally – some sectors of the work force left behind, the wealthiest and most established players coming in to the new market with massive advantages, the rapid spread of misinformation – are all, in actuality, global concerns. Just as the hegemony of Microsoft and Google threaten the ability of new players to enter the AI space, the West’s early dominance of AI tech threatens to push out companies and innovations from emerging markets like Southeast Asia, Subsaharan Africa, and Central America. Left unfettered, AI could potentially deepen social, economic, and digital divisions both within and between all of these societies.

Undaunted, some governments aren’t waiting around for these tools to develop any further before they start attempting to regulate them. New York City has already set up some rules about how AI can be used during the hiring process while will take effect in July. The law requires any company using AI software in hiring to notify candidates that it’s being used, and to have independent auditors check the system annually for bias.

This sort of piecemeal figure-it-out-as-we-go approach is probably what’s going to be necessary, at least short-term, as AI development shows zero signs of slowing down or stopping any time soon. Though there’s some disagreement among experts, most analysts agree with Wharton professor and economist Jeremy Siegel, who told CNBC this week that AI is not yet a bubble. He pointed to the Nvidia earnings as a sign the market remains healthy and not overly frothy. So, at least for now, the feverish excitement around AI is not going to burst like a late ‘90s startup stock. The world needs to prepare as if this technology is going to be with us for a while.

Rivian CEO Teases R2, New Features in Instagram AMA

David Shultz

David Shultz reports on clean technology and electric vehicles, among other industries, for dot.LA. His writing has appeared in The Atlantic, Outside, Nautilus and many other publications.

Rivian CEO Teases R2, New Features in Instagram AMA
Rivian

Rivian CEO RJ Scaringe took to Instagram last weekend to answer questions from the public about his company and its future. Topics covered included new colors, sustainability, production ramp, new products and features. Speaking of which, viewers also got a first look at the company’s much-anticipated R2 platform, albeit made of clay and covered by a sheet, but hey, that’s…something. If you don’t want to watch the whole 33 minute video, which is now also on Youtube, we’ve got the highlights for you.

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