I don't know how to break this, but the missing productivity gains from AI is because most desk workers are not really productive. They do not do useful work as it is, AI isn't helping that.
🔥 Today we’re excited to announce new funding for `grep` (at a $1.3B valuation) to continue building the foundation of agent observability and text search infrastructure.
grep began as a humble UNIX utility in 1973. Since then, it’s evolved—through recursive innovation and the rise of ripgrep—into a core platform for developers, sysadmins, and agents. Our tools now power engineering and AI teams across @OpenAI, @Anthropic, @Meta, @Cloudflare, @Replit, @NASA, and thousands more.
Over the decades we’ve iterated from grep to `egrep` to `ripgrep`. Our goal has always been to figure out what intelligent agents of the future need to see, filter, and extract—and then build the tools that make that possible.
While our journey is still just beginning, we also want to take a moment to reflect on how the space (and our role in it) has evolved. You can read our reflections and details on this funding milestone here:
https://t.co/um8zFkOqDI
We also share more about the funding that will power our future there. Thank you to @IVP, @Benchmark, @Sequoia, @CapitalG, and the open-source community for their belief in the enduring power of regex.
What excites us most today is what’s next:
grep 5.0 with AI-assisted pattern synthesis
ripgrep Cloud, bringing distributed search to agent clusters
pgrepGPT, an agent-native process discovery layer
And new no-code integrations for autonomous observability pipelines
We’re in the midst of a transformation in computation itself. grep and ripgrep will remain at the core—helping humans and agents alike find what matters, faster.