Thanks @jasonlk! Lot to do still but:
1) @linear is used by pretty much by all major labs/ai companies out there
2) our MCP traffic grows 50% MoM
3) we have the most agent integrations and active usage than any platform like this (3rd party, in-house agents)
4) our AI revenue (loops, coding sessions) has grown about 500% per quarter
5) we are closing several public companies/enterprises each quarter to help them coordinate their agent work
The Bull Case for Linear Being a $100BN Company:
"Linear is the clear winner.
They have built an agentic product first that allows us to build 100x more software, and that means 100x more features than ever before.
Humans cannot keep up with it, and humans still have to
@TimothyReavis@OpenAIDevs@13doots@linear Have you tried marrying this with Linears triage intelligence agent to automatically tag/assign issues with the right labels, team, assignee, etc before codex picks them up via heartbeat?
Good look at how we're building products using AI at Coinbase.
Trying to adopt AI into the way you used to work is wrong. It may be hard to accept, but the game has changed. You need to update the way that you work.
This is great insight. To your point, I think the key to a positive VC experience is leverage: profitability/breakeven/long run rate/interest from other investors. Any position of leverage where you don’t NEED VC money
It took me entirely too long to learn this lesson when I ran a small startup. When we needed money to survive, conversations were forced, proposed deals were lopsided, there were a lot of nos until we decided to go from a grow at all cost model to a profitable model
After turning profitable conversations got productive and more natural. Proposed deals started to swing in our favor, and ultimately we decided we didn’t need them at all
Code review, but faster.
Introducing Diffs. A new way to review PRs, directly inside Linear.
• Realtime updates
• Guided reviews with Al (beta)
• Focused notifications
• Iterate with coding agents
• Threaded comments
Introducing Code Intelligence.
Give Linear Agent controlled access to your codebase and turn repositories into shared product context your whole team can use.
The GitHub PR view hasn't meaningfully changed in 15 years.
@linear Diffs is the first credible replacement I've seen. Review and merge sit next to the issue and the agent session, not in a separate tab.
Identify. 🛠
Log. 📝
Fix. 💻
Review. 👀
All in a single thread.
Slackbot + @Linear + @cursor_ai = The ultimate workflow.
Just ask, and Slackbot finds the right agent or application and gets it done. 💪
sforce.co/4m3E9q1
linear agent is the most delightful, well-thought-out, high-leverage, non-disrupting agent implementation I've seen in any product so far.
an absolute masterclass in showing how quality and first-principles thinking always beats speed.
extremely excited for what comes next.
Issue tracking is dead. 🪦
We’ve been trapped in a handoff model where process became the work and engineering time was wasted on ceremony. That era is over.
Today, we’re launching the Linear Agent, Skills and Automations.
The future is execution, not overhead: linear.app/next
1. Just asked @linear go through customer requests for a feature + make a project with PRD
2. Asked to create issues for the project
3. Select all, assign to Codex/Cursor
4. Review diffs + build previews in Linear 😎
(betas coming soon)
Agents should be part of every step of your product development process.
Here's how @linear does it:
1. Understand the problem
Agents read every customer conversation, auto-create issues, de-dupe them against the backlog, and assign them to the right team.
2. Identify
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