Notion

Magic AI

Notion

Notion uses freemium pricing. The free plan is generous — unlimited pages and blocks for individuals.

The Plus plan is $10/user/month for small teams. Business is $18/user/month.

Enterprise is custom-priced. The free tier is intentionally powerful enough that individuals and small teams can use it forever without paying.

The revenue comes when those individuals bring Notion to their companies and entire organizations adopt it.

Notion also has an AI add-on at $10/member/month that adds AI writing assistance, summarization, and Q&A across your workspace.

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.

Notion

Ivan Zhao studied cognitive science at the University of British Columbia, obsessed with the idea that computers should be creative tools, not just consumption devices. He was inspired by pioneers like Alan Kay and Douglas Engelbart who envisioned computers as tools for thought.

In 2013, he started Notion with the idea of building a tool that combined documents, databases, and project management into one flexible workspace.

The first version of Notion launched in 2015 and basically nobody cared. The product was too abstract.

People didn't understand what it was or why they needed it. The company burned through its initial funding.

By 2015, Notion was nearly dead — Zhao had to lay off almost the entire team.

With the last of his money, Zhao kept just one engineer — Simon Last — and moved to Kyoto, Japan, where the cost of living was a fraction of San Francisco. For over a year, Zhao and Last rebuilt Notion from scratch in a tiny apartment.

They rewrote the entire product, making it simpler and more intuitive. The 2.0 version launched in March 2018.

This time, it clicked. Product Hunt loved it.

Twitter loved it. Within months, Notion was growing 50% month over month.

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.

Notion

Notion grew almost entirely through organic love. The product was so flexible that users built incredible things with it and shared them on Twitter, YouTube, and Reddit.

Template creators built entire businesses around selling Notion templates. YouTubers made "my Notion setup" videos that got millions of views.

Notion didn't need a marketing team because its users were the marketing team.

The template ecosystem was a massive growth driver. Notion made it easy to duplicate and share templates.

Productivity influencers and creators built elaborate systems — life dashboards, second brains, CRM systems, content calendars — and shared them with their audiences. Every shared template was a free advertisement for Notion.

The community strategy was deliberate. Notion hired community managers early and empowered super-users to become Notion ambassadors.

There are Notion meetups in cities worldwide. Notion Campus Leaders run groups at universities.

The company understood that for a tool this flexible, community was the best way to teach people what's possible.

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.

Notion

The "too flexible" problem. Notion can do almost anything, which means new users often stare at a blank page and have no idea where to start.

The learning curve isn't steep, but it's wide. People give up before discovering the product's power.

Every Notion user remembers the moment it finally "clicked" — but many potential users never reach that moment.

Enterprise adoption has been slower than expected. Notion is beloved by startups and small teams, but large enterprises need things like advanced permissions, audit logs, compliance certifications, and admin controls.

Building enterprise features while keeping the product simple for individuals is a constant tension. Companies like Confluence (Atlassian) have decades-long enterprise relationships that are hard to displace.

Performance at scale has been a persistent complaint. Notion pages with hundreds of blocks or large databases can become sluggish.

The app has improved significantly but power users with massive workspaces still hit performance walls. For a tool that promises to replace multiple apps, it needs to be as fast as each individual app it replaces.

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.

Notion

Notion is a workspace that combines notes, docs, wikis, project management, and databases into one tool. Pages can contain any mix of text, tables, kanban boards, calendars, galleries, and embedded content.

Notion Databases are the power feature — structured data that can be viewed as tables, boards, timelines, or calendars. Templates let users start with pre-built setups for everything from CRM to habit tracking.

Notion AI adds writing assistance, summarization, and the ability to ask questions about your workspace content. Notion Sites turns any Notion page into a published website.

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.

Notion

Index Ventures, Sequoia Capital, Coatue Management, Dragoneer Investment Group

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.