AT A GLANCE

DoorDash
Magic AI
2013
Founded
2022
San Francisco, California
HQ
San Francisco, USA
$2.5 billion
Total Raised
$465 million
Tony Xu, Stanley Tang, Andy Fang, Evan Moore
Founder
Eric Steinberger and Sebastian De Ro
Delivery
Type
AI
Public (NYSE: DASH)
Status
Private

FUNDING HISTORY

DoorDash

Seed (YC)2013
$120,000 raised
Series A2014
$17M raised
Series B2016
$127M raised
Series D2018
$535M raised$4.0B val.
Series F2019
$600M raised$12.6B val.
IPO2020
$3.4B raised$39.0B val.

Magic AI

Seed2022
$5M raised
Series A2023
$23M raised
Venture Round2024
$117M raised
Venture Round2024
$320M raised

BUSINESS MODEL

DoorDash

DoorDash operates a three-sided marketplace connecting restaurants, delivery drivers (Dashers), and consumers. Revenue comes from three streams: commissions charged to restaurants (typically 15-30% of the order value), delivery fees and service fees charged to consumers, and DashPass subscription revenue ($9.99/month for free delivery and reduced fees).

The DashPass subscription is the retention engine. Over 18 million subscribers pay monthly whether they order or not, creating predictable recurring revenue.

Subscribers order more frequently (about 4x more than non-subscribers), increasing order volume.

Advertising is the emerging high-margin business. Restaurants pay for promoted listings and sponsored placements in the app.

This is essentially a search advertising business built on top of a logistics network. Ad revenue has grown to over $1 billion annually — and it's nearly pure profit because it costs almost nothing to display an ad.

Magic AI

Magic is building an AI that works like a software engineer, not a chatbot. The goal is a model you can hand a whole code base and a task, and it writes, reviews, and debugs like a teammate.

Their edge is memory. In 2024 they showed off LTM-2-mini, a model with a 100 million token context window.

To put that in perspective, that is about 10 million lines of code the model can look at in one shot, by far the biggest of any model at the time. The plan is to sell this as an AI coworker to companies that write a lot of software.

As of the 2024 rounds, the product was still not for sale.

HOW THEY STARTED

DoorDash

Tony Xu grew up watching his mother work multiple restaurant jobs after the family immigrated from Nanjing, China to Illinois. She washed dishes, waited tables, and cooked — sometimes all in the same week at different restaurants.

That experience gave Xu an unusual understanding of how brutally hard the restaurant business is.

At Stanford in 2012, Xu and classmates Stanley Tang, Andy Fang, and Evan Moore were in a startup class looking for a business idea. They interviewed over 200 small business owners and kept hearing the same problem: restaurants wanted to offer delivery but couldn't afford to hire drivers.

Domino's and Pizza Hut had fleets. Your local Thai place didn't.

Their solution was comically low-tech. They built a one-page website called PaloAltoDelivery.com, listed menus from local restaurants (without asking permission), and put their personal phone numbers on the site.

When orders came in, they drove the food themselves. The first order was pad thai from a restaurant in Palo Alto.

Within months, they were drowning in orders and realized this was a massive business. They incorporated as DoorDash in January 2013 and got into Y Combinator that summer.

Magic AI

Eric Steinberger and Sebastian De Ro started Magic in 2022. Steinberger is an AI researcher who became convinced that the missing piece for a true AI software engineer was memory.

Chatbots forget what you told them a few thousand words ago. He wanted a model that could read your entire code base and remember all of it.

They raised a small seed in 2022, then a $23 million Series A in early 2023 led by Alphabet's growth fund CapitalG. From day one the pitch was not a chatbot.

It was an AI colleague that could handle real engineering work.

HOW THEY GREW

DoorDash

DoorDash won the US market through obsessive focus on suburban and mid-market restaurants — the segments Uber Eats and Grubhub ignored. While competitors fought over Manhattan and San Francisco, DoorDash was onboarding every Chinese restaurant and pizza shop in Tucson and Des Moines.

By the time competitors noticed, DoorDash had locked up the majority of US restaurants.

The "last-mile logistics" expansion is the long game. DoorDash now delivers groceries (partnerships with Albertsons, Rite Aid), convenience items (DashMart dark stores), alcohol, pet supplies, and retail products.

The thesis is that once you have a network of drivers and a consumer habit of ordering through an app, you can deliver anything — not just food.

The Wolt acquisition for $8.1 billion in 2022 was the international play. Instead of grinding through country-by-country expansion, DoorDash bought the leading delivery platform in 23 countries across Europe and Asia.

Wolt brought strong unit economics and a beloved brand, especially in the Nordics.

Magic AI

Magic's strategy is research first, product later, which is both unusual and expensive. Instead of shipping an app and iterating in public, they raised huge sums to chase a technical breakthrough in model memory.

The headline move was the 100 million token context claim, which got the whole AI world talking. They also cut a deal with Google Cloud in 2024 to build two supercomputers, called Magic-G4 and Magic-G5, using NVIDIA chips, to train bigger models.

Star backers like Eric Schmidt served as validation. The bet is that if the tech is far enough ahead, the product and the customers follow.

THE HARD PART

DoorDash

Profitability has been the constant question. DoorDash lost money every year through its IPO and beyond, finally posting its first full year of profit in 2024.

The food delivery business has razor-thin margins — restaurants want lower commissions, drivers want higher pay, and consumers want lower prices. Squeezing profit from that three-way tension is incredibly hard.

Regulatory risk is real and growing. Cities and states have capped delivery commissions (New York City caps at 15% for delivery, 5% for marketing).

Worker classification lawsuits keep coming — are Dashers employees or independent contractors? California's Prop 22 temporarily settled this for California, but the debate rages everywhere else.

Each new regulation shaves margin.

Uber Eats is the forever competitor. Uber's massive ride-sharing network gives them built-in driver supply and brand recognition.

They're willing to lose money on Eats to keep their broader ecosystem sticky. DoorDash and Uber Eats together control about 90% of US delivery, and neither can afford to cede ground.

Magic AI

Magic has raised close to half a billion dollars and, years in, still has no product the public can buy. That is the whole problem in one sentence.

A giant context window is a great demo, but rivals like Cursor, GitHub Copilot, and Cognition's Devin already have real users and revenue. Magic has to prove that more memory actually makes a smarter engineer, not just a bigger number on a slide.

And it has to do that while burning enormous sums on compute against competitors who are already shipping. The clock and the cash both keep running.

THE PRODUCTS

DoorDash

DoorDash Marketplace — the core food delivery platform connecting consumers to 390,000+ restaurant partners across the US, Canada, Australia, Japan, and Germany. DashPass — a subscription program offering $0 delivery fees and reduced service fees for $9.99/month.

The loyalty engine of the entire business. DoorDash Drive — a white-label delivery service that lets any business (not just restaurants) use DoorDash's driver network to fulfill their own orders.

Basically DoorDash as a logistics API. DoorDash for Business — a corporate platform for team meals, employee benefits, and office food programs.

Wolt — the European food delivery platform DoorDash acquired for $8.1 billion in 2022, now the company's international expansion vehicle.

Magic AI

The centerpiece is Magic's LTM, or Long-Term Memory, model family. In 2024 they unveiled LTM-2-mini, a model with a 100 million token context window, pitched as the key to an AI that can understand an entire code base at once.

The broader product is an AI software engineer, or coworker, that can write and change code across a whole project. The company also announced Magic-G4 and Magic-G5, two supercomputers built with Google Cloud and NVIDIA to train these models.

Much of it is still research rather than a shipping product.

WHO BACKED THEM

DoorDash

Sequoia Capital has been the most consequential investor, leading multiple rounds and backing Tony Xu from Y Combinator onward. Khosla Ventures, Kleiner Perkins, and SoftBank Vision Fund participated in growth rounds.

Y Combinator was the starting point (Summer 2013 batch). The December 2020 IPO raised $3.4 billion at a $39 billion valuation, making it one of the biggest tech IPOs of that year.

Magic AI

Magic's backers are a murderers' row of AI insiders. It started with a $5 million seed round in 2022 and a $23 million Series A in early 2023 led by Alphabet's CapitalG.

Then in February 2024 came a $117 million round led by Nat Friedman and Daniel Gross, two of the most connected investors in AI. The blowout was August 2024.

Magic raised $320 million with checks from former Google CEO Eric Schmidt, CapitalG again, Atlassian, Jane Street, Sequoia, and Elad Gil. That pushed total funding to around $465 million, all for a company still building toward its first sellable product.

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