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Haku
Quiet
#7824 Radar 24

Reduces AI agent token usage and costs for Mac and browser automation.

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Product memo

Haku serves AI agents by providing an on-device filtering model that reduces token usage during Mac and browser automation. It strips web pages down to essential elements, making agents more efficient and cheaper to operate. Features like a local research cache and semantic code search further cut down on re-discovery costs for developers.

For who

AI agents and their users

Solves what

Reduces AI agent token usage and costs for Mac and browser automation.

  • On-device filtering model
  • Local research cache
  • Native Mac automation

In their own words

Haku.

The magic of your agents,

Cut your agent's browsing bill

Commercial cues

Pricing snapshot one time with free tier

Model

one time

Free tier

Yes

Trial

14d

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A one-time license removes subscription friction for cost-conscious AI agent users.
  • The 14-day free trial reduces purchase risk, encouraging direct option testing.

Operator context

Operating setup

Team

Indie / lean

LLM classification

Founded

Apr 2026

HQ

United States

Platform

Desktop

Audience

Developers

Social footprint

Builder Strategy

Strategy Type
Niche Specialist
Stage
Bootstrapped Lean
Effort
Solo Buildable
About Haku Expand

Haku serves AI agents by providing an on-device filtering model that reduces token usage during Mac and browser automation. It strips web pages down to essential elements, making agents more efficient and cheaper to operate.

Features like a local research cache and semantic code search further cut down on re-discovery costs for developers.