Blockit

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.

Attribute	Value
Company	Blockit AI
Founded	2024
Funding	$5M Seed (Sequoia-led)
Employees	~10-15 (estimate)
Headquarters	San Francisco, CA

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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

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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.

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Strengths

• 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.

• Network Effects — The "time graph" creates genuine switching costs. As more professionals adopt Blockit, scheduling between Blockit users becomes instant, reinforcing adoption.

• Zero Human-in-the-Loop — Unlike earlier AI scheduling attempts (Clara Labs, x.ai), Blockit operates fully autonomously, reducing operational costs and latency.

• Enterprise Traction — 200+ company customers including blue-chip names (Together.ai, Brex, a16z, Accel, Index) provide strong validation.

• Sequoia Backing — Pat Grady's personal investment and Sequoia's "$1B+ revenue potential" assessment signals serious institutional conviction.

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Cautions

• Pricing Opacity — No public pricing makes it difficult for buyers to self-qualify. Enterprise-only positioning may limit broader adoption.

• Permission Requirements — Full calendar access via OAuth may face resistance from security-conscious organizations or those with strict IT policies.

• Early Stage — Despite strong traction, Blockit is a seed-stage company (<2 years old). Enterprise buyers must weigh execution risk.

• Dependency Risk — Heavy reliance on Google/Microsoft calendar APIs creates platform risk if terms or pricing change.

• Cold-Start Problem — Network effects only kick in when counterparties also use Blockit; scheduling with non-users remains email-based.

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Pricing & Licensing

Tier	Price	Includes
Free Trial	$0 (30 days)	Full features
Paid	Not disclosed	Contact sales

Licensing model: SaaS subscription (per-user or per-team, details not public)

Hidden costs: None identified, but enterprise contracts likely include implementation support.

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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

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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 (enterprise pricing likely)

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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.

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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.

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Research by Ry Walker Research • methodology