Flipkart

Magic AI

Flipkart

Marketplace model — Flipkart connects third-party sellers with consumers and takes a commission on every transaction, typically 5% to 25% depending on the category. Also operates a first-party retail business buying and reselling products directly, particularly in electronics and fashion.

Revenue streams include seller commissions, advertising (brands pay to appear in search results and banners), logistics services (Flipkart's in-house delivery network, Ekart, also serves other companies), and Flipkart Plus (loyalty program). The company runs periodic mega-sales — Big Billion Days — that generate billions in GMV over a few days, essentially India's version of Prime Day.

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.

Flipkart

Sachin Bansal and Binny Bansal — not related despite the shared surname — both worked at Amazon in its early days. They moved back to India in 2007 and started Flipkart as an online bookstore, literally copying the Amazon playbook from 1994.

Their first order was a book called "Leaving Microsoft to Change the World," which is almost too on-the-nose. But India in 2007 was nothing like America in 1994.

Internet penetration was low, credit cards were rare, delivery infrastructure was nonexistent, and most people had never bought anything online. The Bansals had to invent solutions for problems Amazon never faced.

Cash-on-delivery became the default payment method. They built their own logistics network because India Post couldn't handle e-commerce volumes.

Every assumption that worked in the US had to be rebuilt from scratch for India.

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.

Flipkart

Category expansion from books to electronics to fashion to groceries — each new category brought new customers and increased purchase frequency. Cash-on-delivery removed the trust barrier for first-time online shoppers.

Building Ekart logistics gave Flipkart delivery reach into tier-2 and tier-3 cities that no third-party carrier could serve. Big Billion Days mega-sale events trained Indian consumers to shop online with massive discounts.

Acquisition strategy — bought Myntra (fashion), Jabong (fashion), eBay India (marketplace), and PhonePe (payments) to consolidate the market. Walmart's $16 billion acquisition in 2018 provided unlimited capital to compete with Amazon India.

Mobile-first design because most Indian consumers access the internet through smartphones, not computers.

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.

Flipkart

Amazon India is a relentless competitor with Jeff Bezos publicly committing billions to win the market. Regulatory uncertainty — Indian e-commerce regulations around foreign ownership, deep discounting, and marketplace rules change frequently and can disrupt business models overnight.

Profitability has remained elusive despite massive scale — the combination of deep discounts, logistics costs, and competitive spending keeps margins thin. The Walmart acquisition created enormous pressure to demonstrate returns on a $16 billion investment.

Founder drama — Sachin Bansal was forced out after the Walmart deal over allegations of personal misconduct, creating leadership turbulence. And the fundamental challenge of e-commerce in India: a price-sensitive market where consumers will switch platforms for a 50-rupee discount.

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.

Flipkart

Flipkart marketplace — India's largest e-commerce platform with 150+ million products across dozens of categories. Myntra — fashion and lifestyle subsidiary, India's leading online fashion retailer.

Ekart logistics — in-house delivery network covering 90%+ of India's pin codes. Flipkart Wholesale — B2B platform for kiranas (mom-and-pop shops) to source inventory.

PhonePe — originally a Flipkart subsidiary, now independent, one of India's largest digital payments platforms processing billions of transactions. Flipkart Plus — loyalty program offering free shipping and early sale access.

Flipkart Quick — hyperlocal delivery for groceries and essentials.

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.

Flipkart

Key investors before the Walmart acquisition included Tiger Global Management, SoftBank Vision Fund, Accel Partners, Naspers, and Tencent. Walmart acquired 77% of Flipkart for $16 billion in 2018, the largest e-commerce acquisition in history at the time.

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.