How Grid110's Miki Reynolds Helps Founders Get Their Footing

Francesca Billington

Francesca Billington is a freelance reporter. Prior to that, she was a general assignment reporter for dot.LA and has also reported for KCRW, the Santa Monica Daily Press and local publications in New Jersey. She graduated from Princeton in 2019 with a degree in anthropology.

Miki Reynolds, founder of Grid110

From her home office in downtown, Miki Reynolds is trying to build an accelerator that looks like Los Angeles.

Reynolds, a tech and digital marketing veteran, founded the nonprofit Grid110 six years ago as an incubator for fashion tech brands. But she soon expanded to help a range of founders find their footing in L.A.'s tech and startup scene. Unlike most accelerators, it doesn't take equity in each company.


"There is no marching towards a demo day performance or presentation," Reynolds said of the 12-week virtual accelerator. "It's really allowing the founders themselves to describe what they're looking to accomplish. Then we try to see how we can help them get there."

Of the 200 companies she's put through the program, 70% are led by women and 70% by a founder of color. Following her mission also means expanding the industry's scope beyond Santa Monica and Venice, the once-default hubs for new companies and investors.

Grid110 runs three to four programs each year. The 15 startups chosen for this round represent a range of industries. Among them is the San Pedro-based biotech company Spira, which uses gene editing on algae to make food dyes and Folkicks, an online marketplace of shoes and clothing for Mexican folk dancers.

Founders in the accelerator hail from across the city from Highland Park to Culver City.

And, Reynolds said, her accelerator is one that "better reflects the city of Los Angeles and the world that we know it as."

"We recognized that most of the community and the events and co-working spaces — even the venture community — were largely centered on the Westside," she said.

Here is a look at Grid110's 21st cohort:

Barterr logo

Barterr

Barterr wants to make sneaker trading safer, easier and fairer.

The company acts as a middleman between two users hoping to trade shoes. After agreeing on a trade, users send the shoes to Barterr, which then uses a third-party to authenticate each shoe before sending the shoes to their new owners.

Founder Terrence Whaley told dot.LA that many shoe collectors want to trade their shoes through local Facebook groups or other sneaker forums, but are dissuaded either because they don't know how or receive poor offers.

Barterr hopes to set itself apart from a crowded sneaker marketplace industry with its algorithm to help users identify fair trades, he said.

"People don't know what equal value is," he said. "We want to basically be the single source of truth for what an equal and fair value trade is."

The company currently offers a desktop app, and plans to release IOS and Android apps within the year.

BurritoBreak logo

BurritoBreak

Founded by Claudia Barrera and Laura Barrera, two sisters born in Los Angeles and raised in Mexico, BurritoBreak sells small, grab-and-go $2 burritos targeted to both essential workers and office workers in Downtown LA.

The company, which has one brick-and-mortar location and two sidewalk vending locations, was inspired by the food stands the two saw in Mexico that sold food that was both affordable and fresh.

"That's something that was missing here," Claudia Barrera told dot.LA. "And I feel like it's missing all around the country."

Dirty Cookie

Founded by Shahira Marei, Dirty Cookie makes edible shot glasses made out of cookies. The glasses, lined with an interior layer of chocolate, are meant to hold any liquid, from milk to alcohol.

Folkicks logo

Folkicks

Folkicks wants to help Mexican-Americans who perform Folklorico, traditional Mexican folk dances, reconnect with their Mexican roots. Founded by Rafael Valero, the company sells made-in-Mexican footwear and dancewear to Folklorio dancers in the U.S.

FYBRAA logo

FYBRAA

South Gate-based FYBRAA aims to prevent clothes from reaching the landfill. Founded by Erica Dwerlkotte, the company picks up unwanted clothes for a $5 fee and either resells the clothes on Poshmark or repurposes the clothes as fabric.

Gthr

Founded by Noah Wossen and Trevor Brown, Gthr is a social media network aimed at cyclists. The company's IOS app lets cyclists find riding partners with similar riding habits, message other riders in the area, post photos and log rides.

Jazz Hands For Autism logo

Jazz Hands For Autism

Founded by Ifunanya Nweke, Jazz Hands For Autism is a Culver City-based nonprofit that helps musicians on the autism spectrum get their foot in the music industry through job placement programs, music learning programs and concerts.

Kif & Co logo

Kif & Co

Founded by Linda Hsu and Caroline Brain, Kif & co sells probiotic fermented soft drinks.

Mina Health

Mina Health bills itself as a one-stop shop for menopause. The company sells at-home menopause test kits, which it says is less expensive and easier to use than lab-run tests. Mina Health is also aiming to provide menopause treatment services.

MSTRPLN logo

MSTRPLN

After successfully paying off six-figures of student loan debt in two years, founder Aja Dang understands the importance of planners and journals. Her company, MSTRPLN, sells digital and physical planners aimed to help professionals plan their personal, professional and financial lives.

Of The Night logo

Of The Night

Two friends started Of The Night in the throes of the pandemic to help party animals quarantined at home let loose.

Now, the Los Angeles-based company is hoping to take their party packages nationwide. Founded by Blake Harrison and Courtney Nichols, Of The Night sells "party packages" that include drinks, costumes and activities meant to provide a one-night experience for customers.

Each package is centered around a distinct theme – previous themes have included a garden gnome-themed package and a Prince-inspired Valentine's Day package. The packages are also popular among LGBTQ community, Harrison said, in part because of how eccentric each package is designed to be.

"Frankly, that's who we know and who we are, we've always been involved with the queer space so it was a no-brainer," Harrison told dot.LA.

The company, which first blossomed in Los Angeles, is hoping to grow its market in other major metropolitan cities and begin to tailor their packages to post-pandemic life. Now, Nichols said, the company is also aiming to target people who feel overworked.

"So, everyone," Harrison added.

Rooted Fare logo

Rooted Fare

Founded by Ashley Xie, the daughter of Chinese immigrants, Rooted Fare wants to help immigrant chefs bring traditional cultural sauces to the market. Rooted Fare partners with immigrant chefs to help them market and commercialize their sauces, and sells the sauces on their site.

Rosecrans Ventures logo

Rosecrans Ventures

Founded by Halleemah Nash, Rosecrans Ventures offers career counseling and job placement opportunities for underrepresented early-career workers.

Named after Rosecrans Avenue, a street that runs through Nash's hometown of Compton, the company also works with organizations to help workforces improve their diversity including PUMA, the California Department of Correction and the American Chemical Society.

An increased focus on diversity, Nash told dot.LA, will help empower a Generation Z workforce that is more diverse than previous generations.

"The idea of coaching and placing and empowering meaningful workforces for the underrepresented I think is necessary if we really want to get real about what the future workforce is going to look like," she said. "It's them."

Spira logo

Spira

Based out of San Pedro, Spira uses CRISPR gene editing technology on algae to make dyes for cooking and clothing. Company founders Elliot Roth, Surjan Singh and Pierre Wensel say their process is less resource intensive than other methods to create dyes.

The Petal Effect logo

The Petal Effect

The Petal Effect is a Los Angeles-based boutique flower company that sells customizable flower arrangements. Founded by Tobore Oweh, the company offers deliveries, home and office subscription services and other floral installations.

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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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