Click GTM brain

Click sells developers a managed API for running tool-using AI agents with their preferred models.

category

Managed AI agent infrastructure

market profile

  • text: Building an agent product entails managing execution, browser access, sandboxes, tools and results in addition to model calls.
  • text: The recently launched service targets developers integrating multi-step agent workflows rather than a standalone end-user chatbot.

personas

  • title: AI application engineer
    pains:
    • Provisioning browser, code sandbox and search before an agent can perform useful work
    • Streaming activity and completed artifacts back into an app
  • title: Engineering lead at an AI software company
    pains:
    • Maintaining changing agent runtime infrastructure alongside a core product
    • Scoping credentials and tool access per session

icp

  • text: Software companies embedding agents in coding, research or customer support applications; company size is not specified.
  • text: Developer-led teams with model-provider keys and a need for hosted execution, tool access and asynchronous callbacks.

message pillars

  • text: Use an agent runtime with model flexibility.
  • text: Start with browser, search and code capabilities.
  • text: Receive streaming events or asynchronous completion.

objections

  • objection: Can we use our chosen model?
    response: The product supports bring-your-own model keys; test the intended provider and workflow.
  • objection: How do we limit agent access?
    response: Scope tools, permissions and credentials per session and test isolation against your requirements.
  • objection: What will production cost?
    response: Estimate session concurrency and managed browser, sandbox and search usage, plus separate model costs.

competitors

  • name: Manus
    why: Cloud agent product with programmatic agent access for multistep tasks.
  • name: Superserve
    why: Provides cloud computers for AI agents, overlapping the managed execution layer.

influencers

  • name: Aditya Asgaonkar
    url: https://xitter.cf/adiasg
    why: Founder who publicly explained Click's managed agent launch and infrastructure thesis.

keywords

  • managed agent API
  • AI agent sandbox
  • serverless AI agents
  • agent browser API
  • MCP agent runtime
  • hosted agent infrastructure

voice

  • Technical and developer-first
  • Concise and task-oriented
  • Infrastructure-focused

signals

  • text: A product team building agents that browse, run code or use MCP tools is likely to need runtime infrastructure.
  • text: A team implementing long-running jobs with webhooks or streaming is a good candidate for a bounded trial.

stack

  • MCP
  • HTTP APIs
  • webhooks

pricing

model: freemium
starting price: Free tier; Pro $199/month, model keys supplied by customer

motion

hybrid

channels

  • Developer documentation
  • X
  • Product Hunt

confidence

medium

Founders

  • name: Aditya Asgaonkar
    title: Founder/CEO
    role: CEO
    bio: Founder at Click. Previously helped build Ethereum's distributed system.

Back to YC companies