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Abodu raises $20M to build prefabricated backyard homes
The need for more affordable housing has never been more urgent as a shortage in the U.S. housing market persists.
Startups attempting to help address the shortage in a variety of ways abound. One such startup, Abodu, has raised $20 million in a Series A funding round led by Norwest Venture Partners. Previous backer Initialized Capital also participated in the financing, along with Redfin CEO Glenn Kelman, former Stockton, California Mayor Michael Tubbs, GGV investor Hans Tung and Paradox Capital’s Kyle Tibbitts.
The California legislature changed laws in 2017 to make it easier to build Accessory Dwelling Units (ADUs). Then on January 1, 2020, the state of California made it dramatically easier to add extra housing units to single-family home sites. Cities and local agencies have to quickly approve or deny ADU projects within 60 days of receiving a permit application. The state also now prevents cities from imposing minimum lot size requirements, maximum ADU dimensions or off-street parking requirements.
Redwood City, California-based Abodu, which builds prefabricated ADUs, was founded in 2018 to serve as a “one-stop shop” for building an ADU, or as some describe it, a home in a backyard.
Image Credits: Co-founders John Geary and Eric McInerney / Abodu
What sets the company apart from others in the space, its execs claim, is that it not only builds and installs the units, it helps homeowners with the painful process of getting permits. Abodu says it pre-approves its structural engineering with California state-level agencies to ensure its units can be built statewide and works with local agencies to pre-approve its foundation systems to ensure projects can proceed on predictable timelines.
It also claims to offer a cheaper and faster process than if one were to build an ADU from start to finish. Specifically, the startup claims that one of its backyard homes can be installed in just 10% of the time it would take for a traditional ADU to be built.
Abodu has been active in the market, selling and building its ADUs since the fall of 2019. Since then, it has put “dozens and dozens” of units in the ground, and has multiple dozen units in production on top of that, according to CEO and co-founder John Geary. So far, it’s operating in the Bay Area, Los Angeles and Seattle. The company claims it can deliver an ADU in as little as 30 days in San Jose and Los Angeles thanks to the cities’ pre-approval process. In other cities in California and Washington, turnaround is “as little as 12 weeks.” But a standard bespoke project takes 4-5 months from start to finish, according to Geary.
The startup’s three products include a 340-square foot studio; a 500-square foot one bedroom, one bath, and a 610-square foot two bedroom unit. All have kitchens and living space.
Pricing starts at $190,000, but the average project cost across all sizes is around $230,000, Geary said, inclusive of permits and site work.
There are a variety of use cases for ADUs, the most popular of which is to house family and for rental income.
“During the pandemic, multigenerational living has been at an all-time high. There are acute family needs that people are trying to solve for,” Geary said. “In addition, folks are earning extra money by renting them out to members of the community such as teachers or fireman, a single person or younger couple.”
Next, Abodu is eyeing the San Diego market.
Earlier this week, we covered the recent raise of Mighty Buildings, another Bay Area-based startup building ADUs and other housing. The biggest difference between the two companies, according to Geary, is that Mighty Buildings is focused on innovation in construction with its 3D-printed method.
“We decided early on that we didn’t want to reinvent the wheel from the construction standpoint,” Geary said. “Instead, we looked at ‘how can we solve for speed and ease?’ ”
Abodu operates with an asset-light model, and doesn’t own any factories. Instead, it has built a network of factory “partners” across the Western U.S. that builds its units depending on how their capacities look at any given time.
Naturally, the company’s investors are bullish on the company’s business model.
Jeff Crowe, managing partner of Norwest Venture Partners, believes that Abodu’s “beautifully crafted units” are just one of the company’s selling points.
“John, Eric, and their team manage the end-to-end process of permitting, building, and installing on behalf of their customers,” he told TechCrunch. “And with the expedited permitting that Abodu has been granted in over two dozen cities, it has faster time-to-installation than other ADU market participants. The result has been very high levels of customer satisfaction and rapid growth.”
Former Stockton Mayor Tubbs said Abodu is tackling two of California’s most consequential issues: the statewide housing shortage and its impacts on racial and economic segregation in our neighborhoods.
“By making it fast and accessible for normal homeowners to build high-quality backyard housing units, Abodu’s success will mean integrating options for both renters and homeowners in the same neighborhoods, while supporting small landlords and property owners in building equity in their homes,” he wrote via email.
Tubbs went on to describe the speed that Abodu can deliver housing units to customers in certain parts of California “astounding.”
“Abodu’s team has done some of the most difficult legwork for property owners by building local contractor relationships with reliable, vetted, high-quality partners,” he said. “As a homeowner myself, I know the challenges of permitting and finding contractors during construction. It’s this thoughtful attention to detail and customer trust that sets Abodu apart from other similar offerings.”
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Jinx launches a text-to-buy dog food platform, with help from Initialized Capital
Jinx is launching a simple way to buy dog food and manage orders via text message.
The startup says it has developed “the first text-to-buy platform in the legacy pet food space,” in partnership with its investor Initialized Capital and the firm’s co-founder Alexis Ohanian (who departed earlier this year and is raising a new fund).
Jinx CEO Terri Rockovich told me that while Jinx’s most important differentiator is creating kibble and treats that are healthier and better-suited to modern dog lifestyles, the increasing competitiveness of the dog food market means that it’s also important to rethink the broader consumer experience.
“As a brand that’s committed to redefine dog nutrition … we’re required to go above and beyond in delivering a really unparalleled customer experience,” Rockovich said.
And that includes offering an easy shopping experience on our phones. Jinx provided a demo in which a user could starts a dog food purchase on the startup’s mobile website, enters their phone number for text updates, then confirms their purchase via text.
Rockovich added that since the startup’s general launch earlier this year, she’s seen subscriptions as increasingly central to Jinx’s business. (For example, a two-pound a bag of Jinx’s salmon, brown rice and sweet potato kibble normally costs $15, but you save 10% if you sign up for shipments every three weeks.)
And while the initial rollout of text-to-buy functionality is focused on the basic purchase experience, Jinx will be adding subscription management features next week, so that subscribers can make adjustments in a “seamless” way.
“We could send a push notification that says, ‘Hey, your order is going to ship in a week and arrives in a week and a half, do you want to add this product?’” Rockovich said. “Or if you want to pause your subscription indefinitely because you’re going on vacation, it’s so easy to do that via text.”
And because the underlying platform was built with Initialized, it can be used across the firm’s startup portfolio. Rockovich said the technology puts “a lot of automation at your disposal,” with chatbots that can tap into a business’ existing content library and FAQ, while also handing the conversation over to human agents when necessary.
In a statement, Ohanian said:
I’ve spent a lot of time looking at the DTC e-commerce space and as a product-builder my whole career, realized I could build a better system for all the companies in our portfolio and that there’d be no better partner to launch it than Jinx, who have consistently been at the cutting edge of the industry. [Although] there are many plug and play text-to-buy options available in the marketplace, our goal was to create a proprietary technology that offered convenience and personalization to Jinx’s customers and allowed us to hone in on consumer findings that would be valuable to all our portfolio brands.
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Datasaur snags $3.9M investment to build intelligent machine learning labeling platform
As machine learning has grown, one of the major bottlenecks remains labeling things so the machine learning application understands the data it’s working with. Datasaur, a member of the Y Combinator Winter 2020 batch, announced a $3.9 million investment today to help solve that problem with a platform designed for machine learning labeling teams.
The funding announcement, which includes a pre-seed amount of $1.1 million from last year and $2.8 million seed right after it graduated from Y Combinator in March, included investments from Initialized Capital, Y Combinator and OpenAI CTO Greg Brockman.
Company founder Ivan Lee says that he has been working in various capacities involving AI for seven years. First when his mobile gaming startup Loki Studios was acquired by Yahoo! in 2013, and Lee was eventually moved to the AI team, and, most recently, at Apple. Regardless of the company, he consistently saw a problem around organizing machine learning labeling teams, one that he felt he was uniquely situated to solve because of his experience.
“I have spent millions of dollars [in budget over the years] and spent countless hours gathering labeled data for my engineers. I came to recognize that this was something that was a problem across all the companies that I’ve been at. And they were just consistently reinventing the wheel and the process. So instead of reinventing that for the third time at Apple, my most recent company, I decided to solve it once and for all for the industry. And that’s why we started Datasaur last year,” Lee told TechCrunch.
He built a platform to speed up human data labeling with a dose of AI, while keeping humans involved. The platform consists of three parts: a labeling interface; the intelligence component, which can recognize basic things so the labeler isn’t identifying the same thing over and over; and finally a team organizing component.
He says the area is hot, but to this point has mostly involved labeling consulting solutions, which farm out labeling to contractors. He points to the sale of Figure Eight in March 2019 and to Scale, which snagged $100 million last year as examples of other startups trying to solve this problem in this way, but he believes his company is doing something different by building a fully software-based solution.
The company currently offers a cloud and on-prem solution, depending on the customer’s requirements. It has 10 employees, with plans to hire in the next year, although he didn’t share an exact number. As he does that, he says he has been working with a partner at investor Initialized on creating a positive and inclusive culture inside the organization, and that includes conversations about hiring a diverse workforce as he builds the company.
“I feel like this is just standard CEO speak, but that is something that we absolutely value in our top of funnel for the hiring process,” he said.
As Lee builds out his platform, he has also worried about built-in bias in AI systems and the detrimental impact that could have on society. He says that he has spoken to clients about the role of labeling in bias and ways of combatting that.
“When I speak with our clients, I talk to them about the potential for bias from their labelers and built into our product itself is the ability to assign multiple people to the same project. And I explain to my clients that this can be more costly, but from personal experience I know that it can improve results dramatically to get multiple perspectives on the exact same data,” he said.
Lee believes humans will continue to be involved in the labeling process in some way, even as parts of the process become more automated. “The very nature of our existence [as a company] will always require humans in the loop, […] and moving forward I do think it’s really important that as we get into more and more of the long tail use cases of AI, we will need humans to continue to educate and inform AI, and that’s going to be a critical part of how this technology develops.”
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Papa raises $18 million to expand its business connecting older adults with virtual and in-person companions
The Miami-based startup Papa has raised an additional $18 million as it looks to expand its business connecting elderly Americans and families with physical and virtual companions, which the company calls “pals.”
The company’s services are already available in 17 states and Papa is going to expand to another four states in the next few months, according to chief executive Andrew Parker.
Parker launched the business after reaching out on Facebook to find someone who could serve as a pal for his own grandfather in Florida.
After realizing that there was a need among elderly residents across the state for companionship and assistance that differed from the kind of in-person care that would typically be provided by a caregiver, Parker launched the service. The kinds of companionship Papa’s employees offer range from helping with everyday tasks — including transportation, light household chores, advising with health benefits and doctor’s appointments, and grocery delivery — to just conversation.
With the social isolation brought on by responses to the COVID-19 pandemic there are even more reasons for the company’s service, Parker said. Roughly half of adults consider themselves lonely, and social isolation increases the risk of death by 29%, according to statistics provided by the company.
“We created Papa with the singular goal of supporting older adults and their families throughout the aging journey,” said Parker, in a statement. “The COVID-19 pandemic has unfortunately only intensified circumstances leading to loneliness and isolation, and we’re honored to be able to offer solutions to help families during this difficult time.”
Papa’s pals go through a stringent vetting process, according to Parker, and only about 8% of all applicants become pals.
These pals get paid an hourly rate of around $15 per hour and have the opportunity to receive bonuses and other incentives, and are now available for virtual and in-person sessions with the older adults they’re matched with.
“We have about 20,000 potential Papa pals apply a month,” said Parker. In the company’s early days it only accepted college students to work as pals, but now the company is accepting a broader range of potential employees, with assistants ranging from 18 to 45 years old. The average age, Parker said, is 29.
Papa monitors and manages all virtual interactions between the company’s employees and their charges, flagging issues that may be raised in discussions, like depression and potential problems getting access to food or medications. The monitoring is designed to ensure that meal plans, therapists or medication can be made available to the company’s charges, said Parker.
Now that there’s $18 million more in financing for the company to work with, thanks to new lead investor Comcast Ventures and other backers — including Canaan, Initialized Capital, Sound Ventures, Pivotal Ventures, the founders of Flatiron Health and their investment group Operator Partners, along with Behance founder, Scott Belsky — Papa is focused on developing new products and expanding the scope of its services.
The company has raised $31 million to date and expects to be operating in all 50 states by January 2021. The company’s companion services are available to members through health plans and as an employer benefit.
“Papa is enabling a growing number of older Americans to age at home, while reducing the cost of care for health plans and creating meaningful jobs for companion care professionals,” said Fatima Husain, principal at Comcast Ventures, in a statement. “
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Narrator raises $6.2M for a new approach to data modelling that replaces star schema
Snowflake went public this week, and in a mark of the wider ecosystem that is evolving around data warehousing, a startup that has built a completely new concept for modelling warehoused data is announcing funding. Narrator — which uses an 11-column ordering model rather than standard star schema to organise data for modelling and analysis — has picked up a Series A round of $6.2 million, money that it plans to use to help it launch and build up users for a self-serve version of its product.
The funding is being led by Initialized Capital along with continued investment from Flybridge Capital Partners and Y Combinator — where the startup was in a 2019 cohort — as well as new investors, including Paul Buchheit.
Narrator has been around for three years, but its first phase was based around providing modelling and analytics directly to companies as a consultancy, helping companies bring together disparate, structured data sources from marketing, CRM, support desks and internal databases to work as a unified whole. As consultants, using an earlier build of the tool that it’s now launching, the company’s CEO Ahmed Elsamadisi said he and others each juggled queries “for eight big companies single-handedly,” while deep-dive analyses were done by another single person.
Having validated that it works, the new self-serve version aims to give data scientists and analysts a simplified way of ordering data so that queries, described as actionable analyses in a story-like format — or “Narratives,” as the company calls them — can be made across that data quickly — hours rather than weeks — and consistently. (You can see a demo of how it works below provided by the company’s head of data, Brittany Davis.)
The new data-as-a-service is also priced in SaaS tiers, with a free tier for the first 5 million rows of data, and a sliding scale of pricing after that based on data rows, user numbers and Narratives in use.
Image Credits: Narrator
Elsamadisi, who co-founded the startup with Matt Star, Cedric Dussud and Michael Nason, said that data analysts have long lived with the problems with star schema modelling (and by extension the related format of snowflake schema), which can be summed up as “layers of dependencies, lack of source of truth, numbers not matching and endless maintenance,” he said.
“At its core, when you have lots of tables built from lots of complex SQL, you end up with a growing house of cards requiring the need to constantly hire more people to help make sure it doesn’t collapse.”
(We)Work Experience
It was while he was working as lead data scientist at WeWork — yes, he told me, maybe it wasn’t actually a tech company, but it had “tech at its core” — that he had a breakthrough moment of realising how to restructure data to get around these issues.
Before that, things were tough on the data front. WeWork had 700 tables that his team was managing using a star schema approach, covering 85 systems and 13,000 objects. Data would include information on acquiring buildings, to the flows of customers through those buildings, how things would change and customers might churn, with marketing and activity on social networks, and so on, growing in line with the company’s own rapidly scaling empire. All of that meant a mess at the data end.
“Data analysts wouldn’t be able to do their jobs,” he said. “It turns out we could barely even answer basic questions about sales numbers. Nothing matched up, and everything took too long.”
The team had 45 people on it, but even so it ended up having to implement a hierarchy for answering questions, as there were so many and not enough time to dig through and answer them all. “And we had every data tool there was,” he added. “My team hated everything they did.”
The single-table column model that Narrator uses, he said, “had been theorised” in the past but hadn’t been figured out.
The spark, he said, was to think of data structured in the same way that we ask questions, where — as he described it — each piece of data can be bridged together and then also used to answer multiple questions.
“The main difference is we’re using a time-series table to replace all your data modelling,” Elsamadisi explained. “This is not a new idea, but it was always considered impossible. In short, we tackle the same problem as most data companies to make it easier to get the data you want but we are the only company that solves it by innovating on the lowest-level data modelling approach. Honestly, that is why our solution works so well. We rebuilt the foundation of data instead of trying to make a faulty foundation better.”
Narrator calls the composite table, which includes all of your data reformatted to fit in its 11-column structure, the Activity Stream.
Elsamadisi said using Narrator for the first time takes about 30 minutes, and about a month to learn to use it thoroughly. “But you’re not going back to SQL after that, it’s so much faster,” he added.
Narrator’s initial market has been providing services to other tech companies, and specifically startups, but the plan is to open it up to a much wider set of verticals. And in a move that might help with that, longer term, it also plans to open source some of its core components so that third parties can build data products on top of the framework more quickly.
As for competitors, he says that it’s essentially the tools that he and other data scientists have always used, although “we’re going against a ‘best practice’ approach (star schema), not a company.” Airflow, DBT, Looker’s LookML, Chartio’s Visual SQL, Tableau Prep are all ways to create and enable the use of a traditional star schema, he added. “We’re similar to these companies — trying to make it as easy and efficient as possible to generate the tables you need for BI, reporting and analysis — but those companies are limited by the traditional star schema approach.”
So far the proof has been in the data. Narrator says that companies average around 20 transformations (the unit used to answer questions) compared to hundreds in a star schema, and that those transformations average 22 lines compared to 1,000+ lines in traditional modelling. For those that learn how to use it, the average time for generating a report or running some analysis is four minutes, compared to weeks in traditional data modelling.
“Narrator has the potential to set a new standard in data,” said Jen Wolf, Initialized Capital COO and partner and new Narrator board member, in a statement. “We were amazed to see the quality and speed with which Narrator delivered analyses using their product. We’re confident once the world experiences Narrator this will be how data analysis is taught moving forward.”
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Podcast analytics and attribution startup Chartable raises $2.25M
Chartable, a startup known for its authoritative podcast download charts, is announcing that it has raised $2.25 million in seed funding.
Founders Dave Zohrob and Harish Agarwal previously worked together at AngelList, and they also created Hacker Daily, a podcast recapping the headlines from Hacker News. Zohrob (Chartable’s CEO) told me their experience hosting a podcast convinced the pair to create an analytics product.
“Podcasting is a weird market,” he said. “One day, our downloads went from 4,000 a day to 5,000 a day. Why did that happen? We had no idea.”
So they built Chartable to give publishers and advertisers the insights they need to understand their audience and their business.
That means creating industry-wide charts, but also helping publishers aggregate their listening data across different podcast apps and launching products like SmartAds (to measure the effectiveness of podcast advertising), SmartLinks (to track the effectiveness of digital marketing campaigns at driving podcast downloads) and SmartPromos (an attribution product for cross-podcast promotional campaigns).
Founded in 2018, Chartable says it’s now tracking 1 billion podcast downloads and ad impressions every month, compared to 100 million downloads a year ago. While the startup offers a free version for independent podcasters, Zohrob noted it’s currently working with eight of the 10 biggest podcast publishers globally.
Chartable founders Harish Agarwal and Dave Zohrob (Image Credits: Chartable)
He argued that in some ways, history is repeating itself, and that Chartable serves a similar function for podcasts as analytics companies like App Annie do for the App Store. At the same time, he suggested that podcasting is a very different market.
“It’s more fragmented, it’s not just Apple and Android, and there’s a billion different business models,” Zohrob said. “There’s a lot more complexity.”
As for whether upcoming privacy changes in iOS could affect Chartable’s attribution tools, Zohrob said it shouldn’t make “a huge difference,” because the data for podcast attribution is so limited already.
“Ultimately what’s happening with the rest of digital advertising is that it’s going to start to look like podcast advertising, which is kind of funny,” he said. “Maybe they’ll end up meeting somewhere in the middle.”
The funding was led by Initialized Capital, which also contributed to Chartable’s $1.5 million round last year. Other investors include Naval Ravikant, Greycroft Partners, The Fund, Weekend Fund, Jim Young and Lukas Biewald.
“Chartable is the authority on podcast analytics and attribution,” said Initialized co-founder Alexis Ohanian in a statement. (He led the Chartable investment before leaving Initialized.) “We couldn’t be happier to support them as they build the tools that brands and publishers need to advance the podcast industry.”
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Berbix raises $9M for its identity verification platform
Berbix, an ID verification startup that was founded by former members of the Airbnb Trust and Safety team, today announced that it has raised a $9 million Series A round led by Mayfield. Existing investors, including Initialized Capital, Y Combinator and Fika Ventures, also participated in this round.
Founded in 2018, Berbix helps companies verify the identity of its users, with an emphasis on the cannabis industry, but it’s clearly not limited to this use case. Integrating the service to help online services scan and validate IDs only takes a few lines of code. In that respect, it’s not that different from payment services like Stripe, for example. Pricing starts at $99 per month with 100 included ID checks. Developers can choose a standard ID check (for $0.99 per check after the basic allotment runs out), as well as additional selfie and optional liveness checks, which ask users to show an emotion or move their head to ensure somebody isn’t simply trying to trick the system with a photo.
While ID verification may not be the first thing you think about in the context of the COVID-19 pandemic, the company is actually seeing increasing demand for its solution now that in-person ID verification has become much harder. Berbix CEO and co-founder Steve Kirkham notes that the company now processes the same number of verifications in a day that it used to do monthly only a year ago.
“The inability to conduct traditional identity checks in person has forced organizations to move online for innumerable use cases,” he says in today’s announcement. “One example is the Family Independence Initiative, a nonprofit that trusts and invests in families’ own efforts to escape poverty. Our software has enabled them to eliminate fraudulent applications and focus on the families who have been economically affected by COVID.”
Berbix co-founder Eric Levine tells me the company plans to use the new funding to expand its team, especially the product and sales department. He also noted that the team is investing heavily in localization, as well as the technical foundation of the service. In addition, it’s obviously also investing in new technologies to detect new types of fraud. Scammers never sleep, after all.
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Digital elective care and telemedicine provider Ro raises $200 million at a reported $1.5 billion valuation
In three years Zachariah Reitano’s startup, Ro, has managed to hit a reported $1.5 billion valuation for its transformation from a company focused on treating erectile dysfunction to a telemedicine service for a range of elective and urgent care-focused treatments.
Through Rory for women’s health, Roman for men’s health and Zero for smoking cessation, Reitano and fellow co-founders Saman Rahmanian, and Rob Schutz, built a company that now treats 20 conditions, including sexual health, weight loss, dermatology, allergies and more, according to a statement from the company.
Image Credit: Zero
Ro also has a new pharmacy business, Ro Pharmacy, which is an online cash pay pharmacy offering more than 500 generic medications for just $5 per month per drug. And the company is getting into the weight loss business through a partnership with the private equity-backed healthcare company, Gelesis.
Ro’s also becoming a gateway into patient acquisition for primary care providers through Ribbon Health, and a test-case for the use of Pfizer’s Greenstone service, which provides certification that a generic drug is validated by one of the major pharmaceuticals.
The company’s $1.5 billion valuation is courtesy of a new $200 million investment from existing investors led by General Catalyst and including FirstMark Capital, Torch, SignalFire, TQ Ventures, Initialized Capital, 3L and BoxGroup. New first-time investor The Chernin Group also participated. In all, Ro has raised $376 million since it launched in 2017.
“This new investment will further our mission to become every patient’s first call. We’ll continue to invest in our vertically-integrated healthcare ecosystem, from our Collaborative Care Center to our national pharmacy operating system. This is just the beginning of Ro’s patient-centered healthcare platform.”
It’s all part of the company’s mission to provide a point of entry into the healthcare system independent of insurance qualifications.
“Telehealth companies like Ro are using technology to address long-standing healthcare disparities that have been exacerbated by COVID-19,” said Dr. Joycelyn Elders, MD, Ro Medical Advisor and Former U.S. Surgeon General. “By empowering providers to leverage their skills as efficiently and effectively as possible, Ro delivers affordable, high-quality care regardless of a patient’s location, insurance status, or physical access to physicians and pharmacies.”
Ro’s new financing is one of several forays by tech investors into reshaping the healthcare system at a time when patient care has been severely disrupted by attempts to mitigate the spread of COVID-19.
Digital medicine is assuming a central position in the healthcare world, with most consultations now occurring online. Reimbursement schemes for telemedicine have changed dramatically and investors see an opportunity to capitalize on these changes by aggressively backing the expansion plans of companies looking to bring digital healthcare directly to consumers.
That’s one of the reasons why Ro’s major competitor, Hims, is reported to be seeking access to public markets through its sale to a special purpose acquisition company for roughly $1 billion, according to Reuters.
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What to consider before publishing your diversity memo
In the past few weeks, several venture capital firms have published different variations of the same pledge: we’ll do a better job supporting the Black community.
My timeline, and I’m assuming yours too, has been filled with statements from non-Black venture capitalists saying that they will rethink how to be more inclusive with their hiring and wiring.
There is no need to applaud firms for taking long overdue steps to treat others equally. What is more important is how we’re going to hold these firms accountable going forward, after a history of inaction.
In a memo published on Friday, Matchstick Ventures outlined a series of commitments to fight racism and underrepresentation. The firm, which manages nearly $37 million dollars and is led by Ryan Broshar and Natty Zola, turned to Black entrepreneur Clarence Bethea for advice on how to proceed.
The pledge stood out for two firm reasons: It is more robust than most promises we have seen by high-profile firms, and it has actual numbers and a deadline, which are key to benchmarking progress.
Disclose your current diversity statistics
Matchstick says 7% of the companies it has invested in have Black founders or founding team members, which is seven times the industry average. Portfolio diversity data needs to be more largely released by the VC community because it’s the only way to determine if progress is being made. So far, beyond Matchstick, we’ve only seen Initialized Capital release diversity metrics. Union Square Ventures said that of moe than 100 investments, only a few have been in self-identified Black founders.
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Curri rolls out nationwide delivery service for construction materials industry
A little over a year after its graduation from Y Combinator’s demo day, the on-demand construction materials delivery service Curri is beginning to offer its services in all 50 states.
Co-founded by Matt Lafferty and Brian Gonzalez, Curri aims to solve one of the major hurdles for local construction suppliers who miss out on sales because of an inability to deliver to contractors when they need it.
The company estimates that it saves its customers roughly half the cost of deploying an in-house fleet for delivery.
“They act as a wholesaler doing all the sales, but they’re also acting as a logistics company as well,” said Lafferty. “We provide a solution for them to flex up or down and save money.”
After graduating from Y Combinator in the summer of 2019, the company tested its services in the Southern California region. Now, as construction looks ready to return to a more normal schedule in the aftermath of the COVID-19 epidemic, the company is capitalizing on increased demand to offer its services nationwide.
“Construction has stayed essential through this whole crisis,” said Lafferty. “Depending on how states were handling it there were different levels of what was seen as essential construction. Industry-wide there was what I would call a great pause… [But] since April we’ve grown week-over-week and even more so now when things are really lifting.”
The company charges its customers by mile traveled and operates with a similar business model to Uber or Lyft, says Lafferty. The drivers are all gig workers, but Lafferty says they’re paid a premium to other delivery services because of the urgency of the company’s deliveries. “We have high-dollar items that are going out and they’re typically more urgent,” Lafferty said. “We’re able to pay our driver 25% to 30% better.”
The Los Angeles-based company raised seed funding from Initialized Capital, the firm founded by Garry Tan and Alexis Ohanian (which also employs former TechCrunch staffer, Kim-Mai Cutler… Hi Kim-Mai!)
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