Tasklet

Competitive Intelligence & Product Roadmap

Runs cloud AI agents for recurring knowledge-work workflows.

Company Overview

Tasklet is a cloud agent OS that turns natural-language instructions into always-on workflows across apps, APIs, email, Slack, browsers, and sandboxes. Serving operators, founders, and VC teams, with USV public as a customer.

Latest Intel

Zeitgeist tracks private signals to determine where the company is heading strategically.

May 18, 2026

Product Surface Signal

Confidence:

Medium

New Intel: Tasklet is packaging cloud agents as persistent operators across SaaS, browsers, and code sandboxes. That puts Zapier and n8n closer to the blast radius than chatbot vendors alone.

What They're Building

The company's public product roadmap & what they're committed to building.

Cloud Agent Runtime

Tasklet runs agents in the cloud on schedules, triggers, and user prompts, making the agent a persistent worker rather than a chat session.

Universal Connections Layer

The product connects agents to SaaS tools, APIs, MCP servers, email, Slack, webhooks, and private systems so workflows can cross normal app boundaries.

Built-In Browser

Agents can navigate websites, click, fill forms, download files, take screenshots, and retain sessions for tools without clean APIs.

Sandbox VM

Each agent can use a cloud Linux sandbox for code execution, file conversion, spreadsheet generation, and media processing.

Generated Interfaces

Tasklet can create task-specific dashboards, forms, and visual views on top of the user data an agent is already using.

Founder and Key Execs

Andrew Lee

Co-Founder (Firebase founder, acquired by Google, and Shortwave founder)

Jonny Dimond

Co-Founder (early Firebase employee and technical lead for Google Cloud Firestore)

Founder Force Multiplier

Andrew Lee and Jonny Dimond bring direct experience building developer infrastructure at Firebase and Google Cloud Firestore, which maps closely to a cloud runtime for autonomous work. Their Shortwave work also gave the team a live surface for AI productivity before Tasklet became a standalone product.

Funding History

2025 | Tasklet launched publicly from the Shortwave team
2026 | $20M round at a $175M valuation from Union Square Ventures, Lightspeed, Jeff Dean, Patrick and John Collison, YC, and others
2026 | Public hiring pages report $29.5M total raised

Competitors

Zapier:

Zapier is the established workflow automation layer, while Tasklet replaces explicit flow building with autonomous agents that reason through tasks.

n8n:

n8n gives technical teams a visual automation builder, while Tasklet centers on natural-language agents that operate apps and tools directly.

ChatGPT:

ChatGPT is a general assistant, while Tasklet is built to run recurring cloud workflows with triggers, connected accounts, and tool actions.

Claude:

Claude competes for agentic work, while Tasklet packages the agent inside a managed workflow system with integrations, browser use, and scheduling.

OpenClaw:

OpenClaw is open source and local-first, while Tasklet is a managed cloud product with setup, security, and operations handled by the vendor.

Tasklet

's Moat:

Workflow switching costs are the credible path: Tasklet can become hard to replace once agents own credentials, schedules, browser sessions, context, and recurring workflows.

How They're Leveraging AI

Persistent SaaS Workflow Agents

Tasklet runs cloud agents that can execute recurring knowledge-work tasks across SaaS tools, APIs, email, Slack, and webhooks. The user describes the work in natural language, then the agent takes actions inside connected systems.

Browser-Based Agent Execution

Tasklet gives agents a built-in browser so they can operate websites that lack clean APIs. Agents can navigate pages, click, fill forms, download files, preserve sessions, and capture screenshots.

Sandboxed Code-Executing Agents

Tasklet agents can use a cloud Linux sandbox to run code, process files, generate spreadsheets, convert documents, and handle media workflows. This makes the agent useful for work that requires computation rather than simple app-to-app routing.

AI Use Overview:

Tasklet’s edge is an LLM agent runtime that combines tool calling, user-specific context, browser automation, and sandboxed code execution inside persistent cloud workflows.

Agent Infrastructure

Decagon

AI agents that autonomously handle enterprise customer support across chat, email, voice, and SMS.

Agentic AI for customer support is one of the few GenAI categories with clean ROI math, and Decagon has locked in the blue-chip logo sweep that compounds into category default status.

Manus

Autonomous AI agent platform that executes multi-step business workflows end-to-end

A model-agnostic orchestration layer with real browser and shell execution captured viral enterprise demand faster than any US agent startup, a thesis validated by Meta's $2B acquisition.

Bubble Lab

Gives ops teams an AI super-employee in Slack that automates cross-platform workflows.

Zapier and Make require users to think in workflows. Bubble Lab's Pearl lives in Slack and runs multi-step operations (Jira, Stripe, Notion) from plain English, which means ops teams adopt it without learning a new tool.

Clice AI

Gives each team member a personal AI agent that coordinates with teammates' agents automatically.

Most AI agent platforms give one agent to a whole team. Clice gives each team member their own agent that coordinates with teammates' agents, turning scheduling, handoffs, and ticket updates into agent-to-agent communication rather than human overhead.

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