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Indian food delivery giant Zomato secures $660 million
Zomato has raised $660 million in a financing round that it kicked off last year as the Indian food delivery startup prepares to go public next year.
The Indian startup said Tiger Global, Kora, Luxor, Fidelity (FMR), D1 Capital, Baillie Gifford, Mirae and Steadview participated in the round — a Series J — which gives Zomato a post-money valuation of $3.9 billion. Zomato had previously disclosed a fundraise of about $212 million as part of a Series J round from Ant Financial, Tiger Global, Baillie Gifford and Temasek.
Deepinder Goyal, the co-founder and chief executive of Zomato, said the 12-year-old startup is also in the process of closing a $140 million secondary transaction. “As part of this transaction, we have already provided liquidity worth $30m to our ex-employees,” he tweeted.
The startup originally anticipated to close a round of about $600 million by January this year, but several obstacles, including the current pandemic, delayed the fundraise effort. Additionally, Ant Financial, which had originally committed to invest $150 million in this round, only delivered a third of it, Zomato’s investor Info Edge disclosed earlier this year.
The Gurgaon-headquartered startup, which acquired the Indian food delivery business of Uber early this year, competes with Prosus Ventures-backed Swiggy in India. A third player, Amazon, has also emerged in the market, though it currently offers its food delivery service in only parts of Bangalore.
At stake is India’s food delivery market, which analysts at Bernstein expect to balloon to be worth $12 billion by 2022, they wrote in a report to clients — accessed by TechCrunch. With about 50% of the market share, Zomato is the current leader among the three, Bernstein analysts wrote.
Zomato eliminated hundreds of jobs this year to improve its finances and navigate the coronavirus pandemic, which significantly hurt the food delivery business in India in the early months. Goyal said the food delivery market is “rapidly coming out of COVID-19 shadows. December 2020 is expected to be the highest ever GMV month in our history. We are now clocking ~25% higher GMV than our previous peaks in February 2020.” He added, “I am supremely excited about what lies ahead and the impact that we will create for our customers, delivery partners, and restaurant partners.”
In September, Goyal told employees that Zomato was working for its IPO for “sometime in the first half of next year” and was raising money to build a war-chest for “future M&A, and fighting off any mischief or price wars from our competition in various areas of our business.”
Making money with food delivery has been especially challenging in India. Unlike Western markets such as the U.S., where the value of each delivery item is about $33, in India, a similar item carries the price tag of $4, according to estimates by Bangalore-based research firm RedSeer.
“The problem is that there are very few people in India who can afford to place an order from a food delivery firm each day,” said Anand Lunia, a venture capitalist at India Quotient, in an interview with TechCrunch earlier this year.
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VESoft raises $8M to meet China’s growing need for graph databases
Sherman Ye founded VESoft in 2018 when he saw a growing demand for graph databases in China. Its predecessors, like Neo4j and TigerGraph, had already been growing aggressively in the West for a few years, while China was just getting to know the technology that leverages graph structures to store data sets and depict their relationships, such as those used for social media analysis, e-commerce recommendations and financial risk management.
VESoft is ready for further growth after closing an $8 million funding round led by Redpoint China Ventures, an investment firm launched by Silicon Valley-based Redpoint Ventures in 2005. Existing investor Matrix Partners China also participated in the Series pre-A round. The new capital will allow the startup to develop products and expand to markets in North America, Europe and other parts of Asia.
The 30-people team is comprised of former employees from Alibaba, Facebook, Huawei and IBM. It’s based in Hangzhou, a scenic city known for its rich history and housing Alibaba and its financial affiliate Ant Financial, where Ye previously worked as a senior engineer after his four-year stint with Facebook in California. From 2017 to 2018, the entrepreneur noticed that Ant Financial’s customers were increasingly interested in adopting graph databases as an alternative to relational databases, a model that had been popular since the 80s and normally organizes data into tables.
“While relational databases are capable of achieving many functions carried out by graph databases… they deteriorate in performance as the quantity of data grows,” Ye told TechCrunch during an interview. “We didn’t use to have so much data.”
Information explosion is one reason why Chinese companies are turning to graph databases, which can handle millions of transactions to discover patterns within scattered data. The technology’s rise is also a response to new forms of online businesses that depend more on relationships.
“Take recommendations for example. The old model recommends content based purely on user profiles, but the problem of relying on personal browsing history is it fails to recommend new things. That was fine for a long time as the Chinese [internet] market was big enough to accommodate many players. But as the industry becomes saturated and crowded… companies need to ponder how to retain existing users, lengthen their time spent, and win users from rivals.”
The key lies in serving people content and products they find appealing. Graph databases come in handy, suggested Ye, when services try to predict users’ interest or behavior as the model uncovers what their friends or people within their social circles like. “That’s a lot more effective than feeding them what’s trending.”
Neo4j compares relational and graph databases (Link)
The company has made its software open source, which the founder believed can help cultivate a community of graph database users and educate the market in China. It will also allow VESoft to reach more engineers in the English-speaking world who are well-acquainted with the open-source culture.
“There is no such thing as being ‘international’ or ‘domestic’ for a technology-driven company. There are no boundaries between countries in the open-source world,” reckoned Ye.
When it comes to generating income, the startup plans to launch a paid version for enterprises, which will come with customized plug-ins and host services.
The Nebula Graph, the brand of VESoft’s database product, is now serving 20 enterprise clients from areas across social media, e-commerce and finance, including big names like food delivery giant Meituan, popular social commerce app Xiaohongshu and e-commerce leader JD.com. A number of overseas companies are also trialing Nebula.
The time is ripe for enterprise-facing startups with a technological moat in China as the market for consumers has been divided by incumbents like Tencent and Alibaba. This makes fundraising relatively easy for VESoft. The founder is confident that Chinese companies are rapidly catching up with their Western counterparts in the space, for the gargantuan amount of data and the myriad of ways data is used in the country “will propel the technology forward.”
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How Bykea is winning Pakistan’s ride-hailing and delivery market
Increasingly, the streets of Karachi and Lahore are being flooded with men riding bikes and wearing green T-shirts, a writer friend recently told me. In a sense, these men represent the emergence of Pakistan’s tech startups.
India now has more than 25,000 startups and raised a record $14.5 billion last year, according to government figures. But not all Asian countries are as large as India or have such a thriving startup ecosystem. Long overdue, things are beginning to change in bordering Pakistan.
Bykea, a three-year-old ride-hailing and delivery service, today has more than 500,000 bikes registered on its platform. It operates in some of Pakistan’s most populated cities, such as Karachi, Lahore and Islamabad, Muneeb Maayr, Bykea founder and CEO, told TechCrunch.
Maayr is one of the most recognized startup founders in Pakistan, and previously worked for Rocket Internet, helping the giant run fashion e-commerce platform Daraz in the country. While leading Daraz, he expanded the platform to cater to categories beyond fashion; Daraz was later sold to Alibaba.
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Anyscale, from the creators of the Ray distributed computing project, launches with $20.6M led by a16z
Open source has become a critical building block of modern software, and today a new startup is coming out of stealth to capitalise on one of the newer frontiers in open source: using it to build and manage distributed application environments, an approach being used increasingly to handle large computing projects, such as those involving artificial intelligence or scientific or other complex calculations.
Anyscale, a startup founded by the same team that built the Project Ray open-source distributed programming framework out of UC Berkeley — Robert Nishihara, Philipp Moritz and Ion Stoica, and Berkeley professor Michael I. Jordan — has raised $20.6 million in a Series A round of funding led by Andreessen Horowitz, with participation also from NEA, Intel Capital, Ant Financial, Amplify Partners, 11.2 Capital and The House Fund.
The company plans to use the money to build out its first commercial products — details of which are still being kept under wraps but will more generally include the ability to easily scale out a computing project from one laptop to a cluster of machines; and a group of libraries and applications to manage projects. These are expected to launch next year.
“Right now we are focused on making Ray a standard for building applications,” said Stoica in an interview. “The company will build tools and a runtime platform for Ray. So, if you want to run a Ray application securely and with high performance then you will use our product.”
The funding is partly strategic: Intel is one of the big companies that has been using Ray for its own computing projects, alongside Amazon, Microsoft and Ant Financial.
“Intel IT has been leveraging Ray to scale Python workloads with minimal code modifications,” said Moty Fania, principal engineer and chief technology officer for Intel IT’s Enterprise and Platform Group, in a statement. “With the implementation into Intel’s manufacturing and testing processes, we have found that Ray helps increase the speed and scale of our hyperparameter selection techniques and auto modeling processes used for creating personalized chip tests. For us, this has resulted in reduced costs, additional capacity and improved quality.”
With an impressive user list like this for the free-to-use Ray, you might ask yourself, what is the purpose of Anyscale? As Stoica and Nishihara explained, the idea will be to create simpler and easier ways to implement Ray, to make it usable whether you’re one of the Amazons of the world, or a more modest, and possibly less tech-centric operation.
“We see that this will be valuable mostly for companies who do not have engineering experts,” Stoica said.
The problem that Anyscale is solving is a central one to the future of large-scale, involved computing projects: there are an increasing array of problems that are being tackled with computing solutions, but as the complexity of the work involved increases, there is a limit to how much work a single machine (even a big one) can handle. (Indeed, Anyscale cites IDC figures estimating that the amount of data created and copied annually will reach 175 zettabytes by 2025.)
While one day there may be quantum-computing machines that can run efficiently and at scale to address these kinds of tasks, today this isn’t a realistic option, and so distributed computing has emerged as a solution.
Ray was devised as a standard to use to implement distributed computing environments, but on its own it’s too technical for the uninitiated to use.
“Imagine you’re a biologist,” added Nishihara. “You can write a simple program and run it at a large scale, but to do that successfully you need not only to be a biology expert but a computing expert. That’s just way too high a barrier.”
The people behind Anyscale (and Ray) have a long and very credible list of other work behind them that speaks to the opportunities that are being spotted here. Stoica, for example, was also the co-founder of Databricks, Conviva and one of the original developers of Apache Spark.
“I worked on Databricks with Ion and that’s how it started,” Andreessen Horowitz co-founder Ben Horowitz said in an interview. He added that the firm has been a regular investor into projects coming out of UC Berkeley. Ray, and more specifically Anyscale, is notable for its relevance to today’s computing needs.
“With Ray it was a very attractive project because of the open-source metrics but also because of the issue it addresses,” he said.
“We’ve been grappling with Moore’s Law being over, but more interestingly, it’s inadequate for things like artificial intelligence applications,” where increasing computing power is needed that outstrips what any single machine can do. “You have to be able to deal with distributed computing, but the problem for everyone but Google is that distributed computing is hard, so we have been looking for a solution.”
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CFIUS Cometh: What this obscure agency does and why it matters to your fund or startup
Evan J. Zimmerman
Contributor
Contributor
Evan J. Zimmerman is an entrepreneur, investor, and writer. He is the Chairman of Jovono and Chairman of the Clinton Health Access Initiative technology council. He is a partner and director in Mighty Mug/Mighty Products, Inc, and chairman of Brush Up Club, an innovative oral health company.
On January 12, 2016, Grindr announced it had sold a 60% controlling stake in the company to Beijing Kunlun Tech, a Chinese gaming firm, valuing the company at $155 million. Champagne bottles were surely popped at the small-ish firm.
Though not at a unicorn-level valuation, the 9-figure exit was still respectable and signaled a bright future for the gay hookup app. Indeed, two years later, Kunlun bought the rest of the firm at more than double the valuation and was planning a public offering for Grindr.
On March 27, 2019, it all fell apart. Kunlun was putting Grindr up for sale instead.
What went wrong? It wasn’t that Grindr’s business ground to a halt. By all accounts, its business seems to actually be growing. The problem was that Kunlun owning Grindr was viewed as a threat to national security. Consequently, CFIUS, or the Committee for Foreign Investment in the United States, stepped in to block the transaction.
So what changed? CFIUS was expanded by FIRRMA, or the Foreign Risk Review Modernization Act, in late 2018, which gave it massive new power and scale. Unlike before, FIRRMA gave CFIUS a technology focus. So now CFIUS isn’t just an American problem—it’s an American tech problem. And in the coming years, it will transform venture capital, Chinese involvement in US tech, and maybe even startups as we know it.
Here’s a closer look at how it all fits together.
What is CFIUS?
Image via Getty Images / Busà Photography
CFIUS is the most important agency you’ve never heard of, and until recently it wasn’t even more than a committee. In essence, CFIUS has the ability to stop foreign entities, called “covered entities,” from acquiring companies when it could adversely affect national security—a “covered transaction.”
Once a filing is made, CFIUS investigates the transaction and both parties, which can take over a month in its first pass. From there, the company and CFIUS enter a negotiation to see if they can resolve any issues.
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Tiger Global and Ant Financial lead $500M investment in China’s shared housing startup Danke
A Chinese startup that’s taking a dorm-like approach to urban housing just raised $500 million as its valuation jumped over $2 billion. Danke Apartment, whose name means “eggshell” in Chinese, closed the Series C round led by returning investor Tiger Global Management and newcomer Ant Financial, Alibaba’s e-payment and financial affiliate controlled by Jack Ma.
Four years ago, Beijing-based Danke set out with a mission to provide more affordable housing for young Chinese working in large urban centers. It applies the co-working concept to housing by renting apartments that come renovated and fully furnished, a model not unlike that of WeWork’s WeLive. The idea is by slicing up a flat designed for a family of three to four — the more common type of urban housing in China — into smaller units, young professionals can afford to live in nicer neighborhoods as Danke takes care of hassles like housekeeping and maintenance. To date, the startup has set foot in 10 major Chinese cities.
With the new funds, Danke plans to upgrade its data processing system that deals with rental transactions. Housing prices are set by AI-driven algorithms that take into account market forces such as locations rather than rely on the hunches of a real estate agent. The more data it gleans, the smarter the system becomes. That layout is the engine of the startup, which believes an internet platform play is a win-win for both homeowners and tenants because it provides greater transparency and efficiency while allowing the company to scale faster.
“We are focused on business intelligence from day one,” Danke’s angel investor and chairman Derek Shen told TechCrunch in an interview. Shen was the former president of LinkedIn China and was instrumental in helping the professional networking site enter the country. “By doing so we are eliminating the need to set up offline retail outlets and are able to speed up the decision-making process. What landlords normally care is who will be the first to rent out their property. The model is also copyable because it requires less manpower.”
“We’ve proven that the rental housing business can be decentralized and done online,” added Shen.
Photo: Danke Apartment via Weibo
Danke doesn’t just want to digitize the market it’s after. Half of the company’s core members have hailed from Nuomi, the local services startup that Shen founded and was sold to Baidu for $3.2 billion back in 2015. Having worked for a business whose mission was to let users explore and hire offline services from their connected devices, these executives developed a propensity to digitize all business aspects, including Danke’s day-to-day operations, a scheme that will also take up some of the new funds. This will allow Danke to “boost operational efficiency and cut costs” as it “actively works with the government to stabilize rental prices in the housing market,” the company says.
The rest of the proceeds will go toward improving the quality of Danke’s apartment amenities and tenant experiences, a segment that Shen believes will see great revenue potential down the road, akin to how WeWork touts software services to enterprises. The money will also enable Danke, which currently zeroes in on office workers and recent college graduates, to explore the emerging housing market for blue-collar workers.
Other investors from the round include new backer Primavera Capital and existing investors CMC Capital, Gaorong Capital and Joy Capital.
China’s rental housing market has boomed in recent years as Beijing pledges to promote affordable apartments in a country where few have the money to buy property. As President Xi Jinping often stresses, “houses are for living in, not for speculation.” As such, investors and entrepreneurs have been piling into the rental flat market, but that fervor has also created unexpected risks.
One much-criticized byproduct is the development of so-called “rental loans.” It goes like this: Housing operators would obtain loans in tenants’ names from banks or other lending institutions allegedly by obscuring relevant details from contracts. So when a tenant signs an agreement that they think binds them to rents, they have in fact agreed to take on loans and their “rent” payments become monthly loan repayments.
Housing operators are keen to embrace such practices because the loans provide working capital for renovation and their pipeline of properties. On the other hand, the capital allows companies like Danke to lower deposits for cash-strapped young tenants. “There’s nothing wrong with the financial instrument itself,” suggested Shen. “The real issue is when the housing operator struggles to repay, so the key is to make sure the business is well-functioning.”
Danke, alongside competitors Ziroom and 5I5J, has drawn fire for not fully informing tenants when signing contracts. Shen said his company is actively working to increase transparency. “We will make it clear to customers that what they are signing are loans. As long as we give them enough notice, there should be little risk involved.”
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The top 10 startups from Y Combinator’s Demo Day S18 Day 2
Fifty-nine startups took the stage at Y Combinator’s Demo Day 2, and among the highlights were a company that helps developers manage in-app subscriptions; a service that lets you create animojis from real photos; and a surplus medical equipment-reselling platform. Oh… and there was also a company that’s developed an entirely new kind of life form using e coli bacteria. So yeah, that’s happening.
Based on some investor buzz and what caught TechCrunch’s eye, these are our top picks from the second day of Y Combinator’s presentations.
You can find the full list of companies that presented on Day 1 here, and our top picks from Day 1 here.
64-x
With a founding team including some of the leading luminaries in the field of biologically inspired engineering (including George Church, Pamela Silver and Jeffrey Way from Harvard’s Wyss Institute), 64-x is engineering organisms to function in otherwise inaccessible environments. Chief executive Alexis Rovner, herself a post-doctoral fellow at the Wyss Institute, and chief operating officer Ryan Gallagher, a former BCG Consultant, are looking to commercialize research from the Institute around accelerating and expanding the ability to produce functionalized proteins and sequence-defined polymers with diverse chemistries. Basically they’ve engineered a new life form that they want to use for novel kinds of bio-manufacturing.
Why we liked it: These geniuses invented a new life form.
CB Therapeutics
Sher Butt, a former lab directory at Steep Hill, saw that cannabinoids were as close to a miracle cure for pain, epilepsy and other chronic conditions as medicine was going to get. But plant-based cannabinoids were costly and produced inconsistent results. Alongside Jacob Vogan, Butt realized that biosynthesizing cannabinoids would reduce production costs by a factor of 10 and boost production 24 times current yields. With a deep experience commercializing drugs for Novartis and as the founder of the cannabis testing company SB Labs, Butt and his technical co-founder are uniquely positioned to bring this new therapy to market.
Why we liked it: Using manufacturing processes to make industrial quantities of what looks like nature’s best painkiller at scale is not a bad idea.
RevenueCat
RevenueCat helps developers manage their in-app subscriptions. It offers an API that developers can use to support in-app subscriptions on iOS and Android, which means they don’t have to worry about all the nuances, bugs and updates on each platform.
The API also allows developers to bring all the data about their subscription business together in one place. It might be on to something, though it isn’t clear how big that something is quite yet. The nine-month-old company says it’s currently seeing $350,000 in transaction volume every month; it’s making some undisclosed percentage of money off that amount.
Read more about RevenueCat here.
Why we liked it: Write code. Release app. Use RevenueCat. Get paid. That sounds like a good formula for a pretty compelling business.
Ajaib
Indonesia is a country in transition, with a growing class of individuals with assets to invest yet who, financially, don’t meet the bar set by many wealth managers. Enter Ajaib, a newly minted startup with the very bold ambition of becoming the “Ant Financial of wealth management for Indonesia.” Why the comparison? Because China was in the same boat not long ago — a country whose middle class had little access to wealth management advice. With the founding of Ant Financial nearly four years ago, that changed. In fact, Ant now boasts more than 400 million users.
China is home to nearly 1.4 billion, compared with Indonesia, whose population of 261 million is tiny in comparison. Still, if its plans work out to charge 1.4 percent for every dollar managed, with an estimated $370 billion in savings in the country to chase after, it could be facing a meaningful opportunity in its backyard if it gains some momentum.
Why we liked it: If Ajaib’s wealth management plans (to charge 1.4 percent for every dollar it manages) work out — and with a total market of $370 billion in savings in Indonesia — the company could be facing a meaningful opportunity in its backyard.
Grin
The scooter craze is hitting Latin America and Grin is greasing the wheels. The Mexico City-based company was launched by co-founder Sergio Romo after he and his partner realized they weren’t going to be able to get a cut of the big “birds” on the scooter block in the U.S. (as Axios reported). Romo and his co-founder have already lined up a slew of investors for what may be the hottest new deal in Latin America. Backers include Sinai Ventures, Liquid2 Ventures, 500 Startups, Monashees and Base10 Partners.
Why we liked it: Scooters are so 2018. But there’s a lot of money to be made in mobility, and as the challenge from Bird and Lime to Uber and Lyft in hyperlocal transit has revealed, there’s no dominant player that’s taken over the market… yet.
Emojer
Creating animated emojis made from real photos, Emojer just might be the most fun you can have with a camera. The company’s software uses deep learning algorithms to detect body parts and guides users in creating their own avatars with just a simple photo take from a mobile phone. It’s replacing deep Photoshop expertise and animation skills with a super simple interface. The avatars look very similar to Elf Yourself, a popular site that let you paste your friends’ faces on dancing Christmas elves goes viral every year at Christmastime. Founders have PhDs in machine learning and computer vision.
Why we liked it: As the company’s chief executive said, Snap was for sexting, and Facebook was hot or not, so who says the next big consumer platform couldn’t be the Trojan horse of easily generated selfiemojis (akin to Elf Yourself)?
Osh’s Affordable Pharmaceuticals
Osh’s Affordable Pharmaceuticals is a public benefit corporation connecting doctors and patients with sources of low-cost, compounded pharmaceuticals. The company is looking to decrease barriers to entry for drugs for rare diseases. Three weeks ago the company introduced a drug to treat Wilson’s Disease. There was no access to the drug that treats the disease before in Brazil, India or Canada. It slashes the cost of drugs from $30,000 a month to $120 per month. The company estimates it has a total addressable market of $17 billion. “Generic drug pricing is a crisis, people are dying because they can’t get access to the medicine they need,” says chief executive Alex Oshmyansky. Osh’s might have a solution.
Why we liked it: Selling lower-cost medications for rare diseases in countries that previously hadn’t had access to them is a good business that’s good for the world.
Medinas Health
Tackling a $75 billion problem of healthcare waste, Medinas Health is giving hospitals an easy way to resell their used supplies. The company has already raised $1 million for its marketplace to help healthcare organizations buy and sell equipment. With a seed round led by Ashton Kutcher and Guy Oseary’s Sound Ventures, and General Catalyst’s Rough Draft Ventures fund, the company is also working to lower costs for cash-strapped rural healthcare centers.
Why we liked it: Finding uses for hospital equipment that’s been lying fallow in corners is a big business. A $75 billion business if Medinas’ estimates are correct. Add helping cut costs for rural medical facilities and Medinas is a business we can get behind.
And Comfort
Plus-size women have limited clothing options even at the largest retailers like Nordstrom and Macy’s. While a majority of American women fall into the plus-size clothing category, 100 million women are constrained to shopping for a very small percentage of options. And Comfort wants to solve the supply problem. To do this, the founders, two former Harvard classmates, are building a direct-to-consumer fashion brand with stylish, minimalist offerings for plus-size women, including tunic shirts and an apron dress. It’s very early days for the brand, but since launching in recent weeks, they’ve seen $25,000 in sales.
Why we liked it: This direct-to-consumer fashion brand is bringing higher quality, better-designed clothing options to a market that’s underserved and growing quickly. What’s not to like?
ShopWith
Influencers of the world are uniting on mobile app, ShopWith, which allows shoppers to browse virtual storefronts and aisles alongside their favorite fashion and beauty creators and YouTubers. Users can see exactly what products those influencers have featured and can buy them without ever leaving the app. It’s a free download and hours of commercially consumptive fun.
It’s like the QVC model, but for GenZ shoppers whose buying habits are influenced by social video content on YouTube, Instagram and Snapchat. The company revealed that one beauty influencer made $10,000 within five hours using the ShopWith platform. The founders are former product managers with experience building social commerce products at Facebook and Amazon.
Why we liked it: The QVC for GenZ not only has a nice ring to it, it’s a recipe for making cash registers hum. A mobile-first, influencer-based shopping company is something that we’d definitely not call an impulse purchase.
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