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Today we are launching Blockit — the world’s first AI scheduling agent that actually understands your time.
After spending my career at Sequoia, I have stepped back to build. When I made this decision, my partners were supportive, though a bit puzzled. They wondered why I would leave to start — of all things — a calendar company.
I told them I have been obsessed with the idea of Blockit for over a decade. I believe the calendar is the last untouched social network — and it can only now be unlocked with AI.
They believed enough to lead the seed.
After pouring our everything into each square inch of this agent, I could not be more thrilled to finally open Blockit up to the world.
We all have time databases — our calendars. Unfortunately, these databases are unintelligent and siloed. They cannot ‘talk’ to you, nor each other. It is very odd that in the 2020s, all of our time is digitized, and yet it is disconnected.
The result is hours of back-and-forth tetris just to find 30 minutes. Time kills all deals. Momentum stalls. Prospects fizzle. Candidates drift. Not because people lack intent, but because time cannot coordinate itself.
Scheduling becomes the bottleneck to our most important conversations.
Historically, the solution has been to hire an assistant. There are ~500k executive assistants (EAs) in the US today, and even more offshore. They hold tremendous context — but most people cannot afford their own EA. Then came booking links. Calendly was a revolution. They put 20M+ calendars on the internet! But it never became intelligent nor a network.
The gap between human and software remained large — until AI.
In 2024, I teamed up with John Han, who holds the uncontested title for “coolest calendar kid”.
He has spent over a decade at three different calendar companies — Timeful, Google Calendar, and Clockwise. Nobody knows this problem better than him. We had arrived at similar insights independently and both felt AI had just turned an impossible problem into a solvable one.
We assembled a ‘time cult’ in San Francisco with engineers from companies like Retool, Waymo, and Notion. Together, we have built an agent that does one important thing with scary accuracy: scheduling — to any degree of complexity.
We have ironed out every edge case that has foiled historical attempts to solve this problem: group scheduling, timezones, in-person, human error, prioritization, urgency, moving meetings, etc. Scheduling is a no-screw-up game. One strike and you’re out. Raw models are still terrible at it. There is no training data and it is a quantitative, multiplayer, zero error tolerance conversation.
We intentionally stayed in stealth to polish every detail of our agent harness. The product is entirely AI with no humans-in-the-loop.
Blockit actually works.
Our agent has spread purely through virality to date. We are proud to count 200+ companies as customers — startups like Together.ai, Brex, Rogo; firms like a16z, Accel, Index; and some large enterprises we cannot yet disclose.
These teams are scheduling hundreds of thousands of meetings powered by Blockit.
The more you use Blockit, the more it learns about you, who you know, and who you should know. And when two Blockit users encounter each other in the wild — boom, the agent can see both calendars and instantly schedule.
We believe the only thing better than giving everyone their own time assistant is giving everyone the same time assistant. A single megabrain pointed at the world’s time. What used to take 1-3 days to schedule can now take 1-3 minutes to schedule.
This is the last untouched social network. It is inherently a rich set of weighted relationships around who we know and how well we know them. We call it the time graph.
We are excited to officially launch Blockit today and announce our $5M seed round led by Pat Grady at Sequoia Capital, with participation from Haystack, Adjacent, Original, and NPV, i.e. Jeff Weiner — the former CEO of LinkedIn who knows a thing or two about social networks.
Try Blockit here: www.blockit.com — come for the agent, stay for the network.
- Kais