Featured Article

Can there be too much competition between startups?

Plus some comments on Jumia’s S-1

Comment

Image Credits: Bloomberg (opens in a new window) / Getty Images

Competition is the core of capitalism. Competition between companies lowers prices — on average — and ensures that they are forced to innovate lest they lose their markets to others. Competition between workers ensures that people strive to do their best work lest their jobs go to more qualified or faster or cheaper replacements.

Obviously, there is a spectrum here from lethargic monopoly to cutthroat competition that causes more problems than it’s worth (environmental damage in the hopes of cutting costs, fraud, deceit, etc.). Drawing that line though is really, really hard though, and there are unfortunately not many non-academic discussions of how much competition is needed to spur innovation.

So it was surprising to read an entire chapter about this dilemma comparing China and the U.S. in Kai-Fu Lee’s book AI Superpowers (yes, yes, I am dreadfully behind on this particular book review).

While the book is about AI, Lee is trying to undo American conceptions of Chinese innovation early on in the text. Yes, the country was once a copycat haven, but that has changed as the learnings of copying have led to originality:

The first act of copying didn’t turn into an anti-innovation mentality that its creator could never shake. It was a necessary steppingstone on the way to more original and locally tailored technology products.

In his narrative, American (tech) companies didn’t fail in China because they were incompetent, but rather because they never made the effort to localize:

American public companies tend to treat international markets as cash cows, sources of bonus revenue to which they are entitled by virtue of winning at home. […] American companies treat China like just any other market to check off their global list. They don’t invest the resources, have the patience, or give their Chinese teams the flexibility needed to compete with China’s world-class entrepreneurs.

China’s entrepreneurs didn’t just learn how to build products quickly from their early copying, but also learned that they had to ferociously compete for markets:

The sheer density of competition and willingness to drive prices down to zero forced companies to iterate: to tweak their products and invent new monetization models, building robust businesses with high walls that their copycat competitors couldn’t scale.

Lee’s ultimate point is that by focusing on markets instead of mission, Chinese startups move far faster and more aggressively to seize opportunities. But that also means that there are can be thousands of startups all targeting the same market at the same time, which forces outside-the-box (read: quite possibly unethical or illegal) behavior in order to compete. “For these gladiators, no dirty trick or underhanded maneuver was out of bounds. They deployed tactics that would make Uber founder Travis Kalanick blush.”

I’ve talked a number of times about the “Chinese think Palo Alto is dumpy” problem. But it bears repeating: competition is the key to a startup ecosystem. Competition forces founders to move faster, to hire quicker, to make product decision with alacrity and otherwise to win their markets today and not a year from now. The best founders in Silicon Valley founders understand this, although this secret seems to be increasingly lost today.

History, of course repeats. Just yesterday, it was revealed that Chinese caffeine chain Luckin Coffee received a $200 million loan from investment banks in prep for an IPO. From Julie Zhu and Kane Wu at Reuters:

The firm officially launched its business only in January last year and in July raised $200 million in its maiden funding round that valued it at $1 billion, making it one of the fastest-ever firms to make the ‘unicorn’ milestone.

[…]

The loss-making firm has been expanding at breakneck speed with over 2,000 cafes opened and plans to open 2,500 this year – displacing Starbucks as China’s largest coffee chain in the process.

15 months and larger than Starbucks. That’s speed, and that’s how you compete.

Digging into the S1: Jumia IPO has points for praise and pause

PIUS UTOMI EKPEI/AFP/Getty Images

Written by Arman Tabatabai

Jumia grabbed headlines yesterday after the African e-commerce player filed for an IPO on the NYSE. Our writer Jake Bright covered the news and provided insightful context around Jumia’s business model, its footprint, and the state of e-commerce in Africa.

With Jumia en route to becoming Africa’s first public tech company listed abroad, we dug into the company’s S-1 to get a better understanding of all its moving parts. Generally, the story is pretty compelling: Jumia is one of the largest pan-Africa e-commerce businesses with a large and rapidly growing active user base that is positively levered at Africa’s economic development and mobile adoption.

While the company is burning cash and losing hundreds of millions of dollars each year, that’s hardly uncommon anymore. But one area that gave me pause was the company’s margin breakdown.

To measure the economics and operating performance of the company’s core operations, Jumia uses “platform contribution,” a metric it defines as gross profit — excluding revenue from services outside the core platform — subtracted by fulfillment costs from third-party logistics providers, primarily related to freight and shipping. Using this metric, Jumia’s platform contribution was about 9-11% of sales in 2017-18.

However, Jumia’s metric excludes fulfillment and delivery costs associated with Jumia’s network of warehouses, their fulfillment employees, and other related expenses, with the logic being that these costs are fairly flat year-to-year and less indicative of the variable costs of the business. However, as an e-commerce logistics and delivery provider, the unaccounted for fulfillment costs seem at least relevant, if not core.

If we were to include all Jumia’s fulfillment expenses in the calculation, Jumia’s platform contribution would actually be negative 5-11% in 2017-18. While thin to negligible margins aren’t unusual for scaling e-commerce platforms, Jumia’s margins fall short of levels seen in past prospectuses from some of the e-commerce giants Jumia looks up to. Amazon, Alibaba, and even JD.com all had at least a year of positive margins including total fulfillment costs at the time of their S-1s. (Though to be fair here, none of the three companies are apples-to-apples comps — Amazon’s S-1 was decades ago, Alibaba operated on a completely different scale at the time of its IPO, and JD.com used a different model focused on direct sales).

Still, the numbers here are just a little unnerving within the context of Africa’s previous e-commerce failures, as discussed by Jake Bright:

“Jumia’s move to go public comes as several notable consumer digital sales startups have faltered in Nigeria…

…In late 2018, Nigerian online sales platform DealDey shut down. And TechCrunch reported this week that consumer-focused venture Gloo.ng has dropped B2C e-commerce altogether to pivot to e-procurement. The CEO cited better unit economics from B2B sales.

Jumia also competes with services backed by Amazon and Naspers in several of its markets, which can be daunting when competing on economics.

The other disclosure that had me harping on Jumia’s fulfillment expense was in the “Risk Factors” section, where the company highlighted that it operates in markets with under-developed physical, economic, legal, and institutional infrastructure. And while there’s heavy investment going into African infrastructure — which could act as a growth tailwind for Jumia in the long-run — improving, let alone creating, infrastructure takes much longer than doing the same in normal business operations, as we’ve discussed ad nauseam.

Because of the lack of infrastructure, Jumia openly discusses the difficulties of delivery and stable fulfillment in its markets and has had to build out a lot of operational infrastructure itself. To me, it at least raises questions around how quickly Jumia will be able to get its cost structure down and whether it might take a bit longer compared to some of its global e-commerce peers.

Thanks

To every member of Extra Crunch: thank you. You allow us to get off the ad-laden media churn conveyor belt and spend quality time on amazing ideas, people, and companies. If I can ever be of assistance, hit reply, or send an email to danny@techcrunch.com.

This newsletter is written with the assistance of Arman Tabatabai from New York

More TechCrunch

Amazon Web Services (AWS), Amazon’s cloud computing business, has confirmed further details of its European “sovereign cloud” which is designed to enable greater data residency across the region. The company…

AWS confirms European ‘sovereign cloud’ to launch in Germany by 2025, plans €7.8B investment over 15 years

Go Digit, an Indian insurance startup, has raised $141 million from investors including Goldman Sachs, ADIA, and Morgan Stanley as part of its IPO.

Indian insurance startup Go Digit raises $141M from anchor investors ahead of IPO

Peakbridge intends to invest in between 16 and 20 companies, investing around $10 million in each company. It has made eight investments so far.

Food VC Peakbridge has new $187M fund to transform future of food, like lab-made cocoa

For over six decades, the nonprofit has been active in the financial services sector.

Accion’s new $152.5M fund will back financial institutions serving small businesses globally

Meta’s newest social network, Threads is starting its own fact-checking program after piggybacking on Instagram and Facebook’s network for a few months. Instagram head Adam Mosseri noted that the company…

Threads finally starts its own fact-checking program

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people