Discord

Magic AI

Discord

Discord makes money primarily through Nitro — a $9.99/month subscription that gives users bigger file uploads, HD video streaming, custom emoji, animated avatars, and profile customization. There's also Nitro Basic at $2.99/month with fewer perks.

Server owners can pay for Server Boosts that unlock premium features for their community. Discord also added a cut of server subscriptions — creators can charge monthly membership fees and Discord takes 10%.

The key insight is that Discord's core product is completely free. Voice chat, text chat, screen sharing, communities with thousands of members — all free.

Nitro is cosmetic and convenience upgrades. Most users never pay and Discord is fine with that.

The free users create the network effects that make the platform valuable.

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.

Discord

Jason Citron had already built and sold a gaming company — OpenFeint, a social gaming platform for mobile, which GREE bought for $104 million in 2011. After that, he started Hammer & Chisel, a game studio that was supposed to make mobile games.

The game they built, called Fates Forever, was a mobile MOBA that got great reviews but almost nobody played.

What Citron noticed was that gamers were using terrible tools to communicate. TeamSpeak was clunky.

Skype was laggy. Nothing worked well for groups of people who needed to talk while gaming.

The internal voice and text chat tool that Hammer & Chisel had built for their own team worked better than anything on the market.

Citron and co-founder Stan Vishnevskiy pivoted the entire company. They stripped out the gaming stuff and launched Discord in May 2015 as a free voice, video, and text chat platform for gamers.

It spread through Reddit first — a post on the r/gaming subreddit went viral and crashed their servers on day one. Within a year they had 25 million registered users.

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.

Discord

Discord grew through communities, not ads. The first users were gamers on Reddit and Twitch who were sick of TeamSpeak and Skype.

Streamers would set up Discord servers for their fans, and every viewer who joined brought their friends. The growth was entirely organic for years.

The bot ecosystem was the secret weapon. Discord made it trivially easy to build bots — automated programs that add functionality to servers.

Music bots, moderation bots, gaming bots, utility bots. Developers built tens of thousands of bots, each one making Discord servers more useful and sticky.

A server with good bots became a mini-app platform.

COVID and the "beyond gaming" shift were massive. When lockdowns hit, study groups, book clubs, art communities, crypto communities, and just friend groups all started using Discord.

By 2020, non-gaming usage overtook gaming usage. Discord quietly dropped the "for gamers" tagline and rebranded as a platform for communities of all kinds.

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.

Discord

Monetization has been the eternal question. Discord has 200 million monthly active users but has never turned a profit.

Nitro subscriptions are growing but most users are happy on the free tier. Unlike Facebook or Twitter, Discord doesn't run ads — they've explicitly said ads in DMs or chat would destroy the product.

Finding ways to monetize without betraying user trust is the core challenge.

The Microsoft acquisition saga. In early 2021, Microsoft reportedly offered $12 billion to buy Discord.

Citron and the board walked away. The thinking was that Discord could grow into something worth much more independently.

Whether that was the right call depends on whether Discord can eventually figure out profitability — Microsoft would have solved that problem instantly with its distribution.

Content moderation at scale is brutal. With millions of servers and hundreds of millions of users, Discord has struggled with harmful content — extremist groups, CSAM, doxxing, and harassment.

They've invested heavily in trust and safety teams and automated detection, but the decentralized nature of servers makes moderation much harder than a centralized feed like Twitter or Facebook.

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.

Discord

Discord's core is servers — community spaces organized into text and voice channels. Think of a server like a clubhouse with different rooms for different topics.

Voice Channels let you drop in and out of audio conversations like a walkie-talkie. Stage Channels are for live audio events with audiences.

Forum Channels organize discussions by topic. Discord also has direct messaging, group chats, video calls, screen sharing, and a growing app/bot ecosystem.

Activities let users play games and watch videos together inside Discord calls.

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.

Discord

Benchmark, Accel Partners, Greylock Partners, Index Ventures, Greenoaks Capital, Dragoneer Investment Group, Spark Capital, Fidelity Investments

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.