Save everything. Follow experts. Think with all of it.

Everett is the research assistant that guides you through the sources you choose.

How it works.

01

Save everything.

Highlight the web. Drop in PDFs. Write notes. Keep anything that might matter.

02

Follow experts.

Follow blogs and subscribe to Substacks. Read them as you do today — and know that Everett keeps a copy of every post.

03

Think with all of it.

Ask a question and Everett will give you cited answers, the ideas you're missing and the next question to ask.

People using Everett.

Writers worth following.

Bring your audience and let them ask questions. They get answers and their questions inform what you write next.

Need bearings, fast.

New job. New class. New diagnosis. New life situation. Bring the pile of reading and let Everett help you find your way, fast.

The endlessly curious.

You know who you are. You save everything because it's all connected and one day it will be worthwhile. Everett makes that “one day” now.

Your thinking stays yours.

Everett proposes, you decide.

Everett provides cited answers from everything you bring. It tells you what you know, not what an AI thinks it knows. You think for yourself.

Private by default.

Your library is yours. Questions are answered by AI with zero data retention policies. Writers only get anonymized questions. Everything gets deleted if you cancel.

Free until it's worth it.

Sign up today with no credit card. For people who need more, plans start at $5/month and you can tailor them to saving everything or following experts.

Start Connecting Free to start. No card needed.

Other tools file your notes.
Everett connects your ideas.

I've been saving interesting things for 20 years. I'll visit a website and think “I need to remember that.” I'll read a book and take notes of the best passages. I have folders full of PDFs I swore I'd read one day. All of it sitting around unused — scattered across note-taking apps, cloud drives, bookmarking apps and Substacks.

So I built Everett.

Every other app is a filing cabinet — a place where you dutifully file a note and never see it again. At Everett, the save is the start. Everett connects everything you bring and uses this to suggest what to ask and provides cited answers.

No more filing cabinets.

Since I started Everett my thinking is sharper and more creative. I'm sure yours will be too. Reach out and let me know: email me or just book time.

A prohibition sign — red circle and slash — over a filing cabinet.

I'm not convinced yet that Everett is for me.

Fair. If you tried the demo and read this far then maybe seeing some of the other things you can do with Everett will give you the confidence to sign up.

It's easy to save anything and follow experts.

A web article with one passage highlighted in yellow and another selected, with a Highlight button beside the selection.

Web highlighter

Highlight useful passages in websites as you go — and see them when you come back.

A PDF open in Everett's reader with a passage selected, 22 minutes left to read, and Highlight and Explain buttons.

PDF reader

Read PDFs, track progress, highlight passages and get explanations.

A note in Everett titled “Spencer Harrison on Business & Curiosity”: a bullet on the question matrix, with a photo of the matrix below it.

Note writer

Create beautiful notes on anything worth remembering.

Everett re-syncing Substack subscriptions: a list of publications marked free or paid, two newly checked to follow, and a Follow 11 button.

Substack follower

Keep reading your Substacks like you do today and rest assured that you've got a copy to reference later.

Three followed blogs in Everett — Continuations, Essays by Benedict Evans and Reaction Wheel — each with a post count, a one-line description and an Unfollow button.

Blog follower

Keep reading blogs as usual and know that you've got a copy to reference later.

Everett's Upload files page: a drop zone for up to 20 PDFs, text, Markdown or image files at a time, and an option to email a summary of each.

Bulk tools

Import multiple files at once. CSVs of webpages. OPML for blogs.

Everett connects all of this together.

What Everett pulled from one item: people and companies mentioned, among them Amos Tversky, Andy Grove and Clayton M. Christensen, concepts such as anchoring bias and business strategy, and a one-line description of its subject.

Ideas & more extracted

Every item gets analyzed for concepts, people, places, voice, subject, genre and more.

Everett's “What to read next” list, ranked across the library: a PDF, a webpage and a note, each with a short summary and the reasons it connects, such as supporting a claim or sharing entities.

Related items

Everett explains the top connections for every item.

Everett's home page: under Connections, a What to read next card counting 797 items, 680 concepts and 2040 entities across 137 genres, 176 voices, 105 frames and 239 subjects, with a Recommend reading button, and below it Questions to ask about a saved PDF.

Endless novel exploration

Explore your library by concept, voice, frame, genre, subject and more.

A collection in Everett titled “Decision Making 101”: six items, sharing set to Public with notes and highlights included, and the opening of the agent's note on how the items relate.

Shareable collections

Group items into shareable collections. You can put the same item into multiple collections.

A saved PDF in Everett: the title “Principles By Ray Dalio”, a one-line summary, and the start of the long-form summary.

Item summaries

Everything you save gets a clean title, a memorable summary and a long form summary.

Search results for “product design”: a matching concept and frame, two saved items with the matched words highlighted, and matching text inside a summary.

Really useful search

Search across everything — including those highlights, ideas and other dimensions — and even inside images.

So you can think better with all of it.

An Everett answer to “is the ai boom funded by endless capital”: a paragraph on market cycles and bubbles with numbered citations, then its sources, led by Trends In Artificial Intelligence with 11 citations, and one from Continuations, a blog the reader follows.

Cited answers

Ask questions and get answers cited from your items plus the blogs and Substacks you follow.

Everett's “Ask next” list: three suggested questions, on telling a noise variable from a structural one in a strategic analogy, using sensitivity analysis on a Wardley Map, and structuring a red team to find hidden non-analogous variables.

The next question

Every answer and every item suggests the next question to go deeper or broader.

Adjacent ideas in Everett: under Beyond your library, sensitivity analysis and red teaming, each with a line on how it applies; under Within your history, a passage the reader highlighted. Each has an Explain button.

Adjacent ideas

See ideas adjacent to what you've collected and pull them into the conversation.

A “Bubbling up” card from Everett's home page: “You're building on anchoring bias — 4 more this week”, an Explain button, and the four new items with their summaries.

Insight cards

Cards show you how your saves are evolving and new connections forming.

A highlighted passage on Zipf's law in Everett's PDF reader, with the Explain this passage panel beside it setting out what the passage means in plain language.

Instant explanations

Read items inside Everett and get inline explanations of tricky passages.

Everett's week in review for 1 – 8 October: 220 saved, 14 read, 10 highlights and 3 notes, then the headline “This was a week of deep structural interrogation and expansion.” and the start of the week's summary.

Week in review

Every Thursday you get a summary of your week's activity and recommended weekend reading.

If that looked interesting, let's get started.

Start Connecting Free to start. No card needed.