HeyClicky

Product & Competitive Intelligence

Mac-native AI assistant that sees your screen and listens to your voice in real time.

Company Overview

HeyClicky is a Mac desktop app that gives users a persistent AI companion with screen awareness and voice control. Serving individual creators, developers, and knowledge workers who want an always-on assistant across Figma, coding tools, PDFs, and browsers.

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What They're Building

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

Clicky for Mac:

Voice-activated, screen-aware desktop assistant that observes the user’s active app and responds in real time.

Multimodal Context Capture:

Screen vision plus voice input pipeline built on AssemblyAI and ElevenLabs for transcription and speech synthesis.

Creative Workflow Support:

Demo flows around Figma to webpage conversion, Blender, and DaVinci suggest a creator and designer wedge.

Developer Assist:

Inline help for writing, debugging, and explaining code across editors, leaning on Anthropic and OpenAI models.

Competitors

Raycast AI:

Mac launcher with embedded AI commands and strong developer adoption; competes on extensibility and keyboard-first UX rather than ambient screen awareness.

ChatGPT Desktop:

OpenAI’s native Mac app with screen and voice features; competes on model quality and brand, not Mac-native workflow depth.

Dottie:

Offline, voice-controlled Mac AI assistant; competes on privacy and local execution against Clicky’s cloud-API approach.

HeyClicky

's Moat:

No public moat today. The product is a thin client over commodity model APIs (Anthropic, OpenAI, AssemblyAI, ElevenLabs), so defensibility depends on UX lock-in and habit formation. If Clicky can build proprietary on-device context memory and workflow automations that travel with the user across Mac apps, switching costs could compound. Until then, treat as a distribution and design bet, not a tech moat.

How They're Leveraging AI

Agentic Workflow Automation

Cross-application action execution where the assistant interprets a voice command and triggers outputs in Mac apps like Figma, code editors, or browsers.

Speech Recognition

Voice-first interaction loop using streaming speech-to-text and low-latency text-to-speech to make the assistant feel ambient rather than chat-based.

Computer Vision

Real-time screen understanding that interprets the active Mac application and on-screen content to ground assistant responses in what the user is doing.

AI Use Overview:

Combines screen vision, voice, and LLM calls into a single ambient Mac agent rather than a chat window, with context drawn from whatever app is active.