Key takeaways
- Sequoia-backed ($5M seed) AI scheduling agent founded by ex-Sequoia partner Kais Khimji and Clockwise veteran John Han
- 200+ enterprise customers including Together.ai, Brex, a16z, and Accel — hundreds of thousands of meetings scheduled
- "Time graph" network effects: when two Blockit users meet, instant scheduling without back-and-forth
- SOC 2 certified with no human-in-the-loop — fully autonomous scheduling
FAQ
What is Blockit?
Blockit is an AI scheduling agent that handles meeting coordination via email and Slack, eliminating back-and-forth calendar negotiation through intelligent automation.
How much does Blockit cost?
Blockit offers a 30-day free trial. Per TechCrunch, Blockit costs $1,000 annually for individual users and $5,000 annually for a team license; pricing is not listed on the website itself.
Who competes with Blockit?
Calendly (booking links), Reclaim.ai (time blocking), Clockwise (team calendar optimization), and Motion (task scheduling).
Executive Summary
Blockit is an AI-powered scheduling agent that handles meeting coordination autonomously via email and Slack, targeting busy executives, VCs, and high-growth startups. Founded by former Sequoia partner Kais Khimji and Clockwise veteran John Han, the company emerged from stealth in January 2026 with $5M in seed funding led by Sequoia's Pat Grady, with participation from Haystack, Adjacent, Original, and LinkedIn's Jeff Weiner.
| Attribute | Value |
|---|---|
| Company | Blockit AI |
| Founded | 2024 |
| Funding | $5M Seed (Sequoia-led) |
| Employees | ~10-15 (estimate) |
| Headquarters | San Francisco, CA |
Product Overview
Blockit positions itself as "the world's first AI scheduling agent that actually understands your time." Unlike booking link tools (Calendly) or time-blocking assistants (Reclaim.ai), Blockit operates as a fully autonomous agent that negotiates meeting times on your behalf through natural email and Slack conversations.
The core value proposition centers on eliminating the "1-3 days" typical scheduling delays, reducing them to "1-3 minutes." The agent handles complex scenarios including group scheduling, timezone coordination, in-person meetings, priority balancing, urgency detection, and meeting rescheduling — all without human intervention.
Key Capabilities
| Capability | Description |
|---|---|
| Autonomous Scheduling | Negotiates meeting times via email/Slack without human oversight |
| Multi-Calendar Support | Connects unlimited Google and Outlook calendars |
| Time Graph Network | When two Blockit users meet, instant scheduling via shared calendar access |
| Preference Learning | Adapts to user scheduling habits and priorities over time |
| Group Coordination | Handles multi-party scheduling including colleague availability |
Product Surfaces
| Surface | Description | Availability |
|---|---|---|
| Email (CC) | CC Blockit on email threads to delegate scheduling | GA |
| Slack Integration | Message Blockit directly in Slack | GA |
| Web Dashboard | Manage preferences and view scheduled meetings | GA |
Technical Architecture
Blockit operates as an agentic system with no humans-in-the-loop. The product connects to calendar APIs (Google, Outlook) via OAuth and monitors email/Slack channels for scheduling requests.
Key Technical Details
| Aspect | Detail |
|---|---|
| Deployment | Cloud (SaaS) |
| Model(s) | Not disclosed (likely proprietary LLM pipeline) |
| Integrations | Google Calendar, Outlook, Slack |
| Open Source | No |
| Security | SOC 2 certified, encryption at rest/in transit |
| Data Policy | No training on customer data |
The "time graph" concept is central to Blockit's architecture — when two Blockit users attempt to schedule with each other, the agent can access both calendars simultaneously, enabling instant scheduling without negotiation.
Strengths
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Founder Pedigree — Kais Khimji spent years at Sequoia evaluating the best companies; John Han built calendar products at Timeful (acquired by Google), Google Calendar, and Clockwise. This team has unmatched domain expertise.
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Network Effects — The "time graph" creates genuine switching costs. As more professionals adopt Blockit, scheduling between Blockit users becomes instant, reinforcing adoption.
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Zero Human-in-the-Loop — Unlike earlier AI scheduling attempts (Clara Labs, x.ai), Blockit operates fully autonomously, reducing operational costs and latency.
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Enterprise Traction — 200+ company customers including blue-chip names (Together.ai, Brex, a16z, Accel, Index) as of the January 2026 launch, with hundreds of thousands of meetings scheduled; no newer customer figures have been disclosed as of June 2026.
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Sequoia Backing — Pat Grady's personal investment and Sequoia's "$1B+ revenue potential" assessment signals serious institutional conviction.
Cautions
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Premium Pricing — At $1,000/year per individual (reported by TechCrunch; not listed on the website), Blockit costs 5-10x more than tools like Calendly or Reclaim, limiting adoption to users who value their time like an EA hire.
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Permission Requirements — Full calendar access via OAuth may face resistance from security-conscious organizations or those with strict IT policies.
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Early Stage — Despite strong traction, Blockit is a seed-stage company (<2 years old). Enterprise buyers must weigh execution risk.
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Dependency Risk — Heavy reliance on Google/Microsoft calendar APIs creates platform risk if terms or pricing change.
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Cold-Start Problem — Network effects only kick in when counterparties also use Blockit; scheduling with non-users remains email-based.
Pricing & Licensing
| Tier | Price | Includes |
|---|---|---|
| Free Trial | $0 (30 days) | Full features |
| Individual | $1,000/year | Single user |
| Team | $5,000/year | Multiple users |
Pricing is not listed on Blockit's website; the individual and team figures were reported by TechCrunch at launch.
Licensing model: SaaS subscription (per-user individual plan or multi-user team license)
Hidden costs: None identified, but enterprise contracts likely include implementation support.
Competitive Positioning
Direct Competitors
| Competitor | Differentiation |
|---|---|
| Calendly | Booking links only — doesn't negotiate, just displays availability |
| Reclaim.ai | Time-blocking focus; helps protect focus time but doesn't negotiate meetings |
| Clockwise | Team calendar optimization; rearranges existing meetings but doesn't handle inbound requests |
| Motion | Task + calendar hybrid; more project management than pure scheduling |
When to Choose Blockit Over Alternatives
- Choose Blockit when: You're drowning in scheduling emails and want hands-off meeting coordination
- Choose Calendly when: You just need to share availability links, not negotiate times
- Choose Reclaim when: Protecting deep work blocks matters more than inbound scheduling
- Choose Clockwise when: Optimizing existing team calendars is the priority
Ideal Customer Profile
Best fit:
- VCs, executives, founders with 20+ meetings/week
- High-growth startups where time-to-meeting impacts deals
- Sales teams coordinating complex multi-party demos
- Anyone who'd hire an EA primarily for scheduling
Poor fit:
- Individual contributors with few external meetings
- Organizations with strict IT policies blocking calendar OAuth
- Price-sensitive teams ($1,000/year individual, $5,000/year team per TechCrunch)
What Developers Say
No substantive community discussion of Blockit was found on Reddit, Hacker News, or X as of June 2026. Blockit is an enterprise-sold scheduling product rather than a developer tool, and public commentary so far consists of launch coverage and investor write-ups rather than independent user reviews. The customer logos cited above (Together.ai, Brex, a16z, Accel, Index) remain the strongest public adoption signal.
Viability Assessment
| Factor | Assessment |
|---|---|
| Financial Health | Strong — $5M runway, Sequoia backing |
| Market Position | Challenger — new entrant with strong early traction |
| Innovation Pace | Rapid — still in product-market fit iteration |
| Community/Ecosystem | Limited — B2B SaaS, no open community |
| Long-term Outlook | Positive — if network effects compound |
Sequoia's explicit $1B+ revenue potential assessment is notable. The failed predecessors (Clara Labs raised $10M before shutting down; x.ai raised $23M) prove this is a hard market, but LLM capabilities have dramatically improved since their attempts. The team's calendar-specific experience (John Han built similar products for a decade) de-risks execution significantly.
Bottom Line
Blockit represents the most credible attempt at AI scheduling since Clara Labs and x.ai failed in the mid-2010s. The combination of founder-market fit (Sequoia + Clockwise DNA), network effects architecture, and strong early enterprise traction makes this a company to watch.
Recommended for: Executives, VCs, and high-touch sales teams who spend hours weekly coordinating meetings
Not recommended for: Individual contributors, budget-conscious teams, or organizations with strict calendar access policies
Outlook: If Blockit's time graph network effects compound as designed, this could become the default scheduling layer for professional services. The Sequoia backing provides runway to reach critical mass. Near-term risk is execution; long-term risk is Google/Microsoft building native AI scheduling into their calendar products.
Research by Ry Walker Research • methodology