Heard

Give Claude Code and Codex a voice

Developer ToolsArtificial IntelligenceGitHubProductivity

▲ 204 votes53 commentsLaunched Jul 25, 2026

Daily #2Weekly #32

Heard is a macOS voice layer for your agentic workflows. It connects to Claude Code, Codex, and Cursor and turns their output into intelligent summaries you can hear. Full commentary when your eyes are elsewhere, or silence until something errors or needs a decision. With agents run in parallel, Heard summarizes at the project level, so you hear where the work stands, not five terminals talking over each other. Pair your phone and it comes with you. Open source, free for personal use.

AI Analysis

📝 Summary

Heard is a macOS voice layer for agentic AI workflows. It integrates with Claude Code, Codex, and Cursor, converting outputs into intelligent spoken summaries. Features include full commentary, error/decision alerts only, project-level summarization for parallel agents to prevent voice overlap, and phone pairing for mobility. Open source and free for personal use. It solves key pain points like terminal output overload, constant screen monitoring, and multitasking difficulties in AI-driven development, enabling developers to stay informed audibly while focusing elsewhere.

📈 Market Timing

In 2025-2026, agentic AI and LLM tools like Claude and Cursor are maturing rapidly with widespread developer adoption. Demand for multimodal (voice) interfaces is rising to support hands-free, multitasking workflows amid remote/hybrid work trends. No major regulatory barriers for such dev tools. This aligns perfectly with productivity AI boom. Excellent Timing.

✅ Feasibility

High. Technical difficulty is moderate as it leverages existing LLM APIs, macOS TTS frameworks, and output parsing. Low development/operation costs (open source model). Minimal supply chain or compliance risks as a pure software tool. Strong scalability via community contributions and potential cloud TTS. Already launched per ProductHunt, indicating proven feasibility.

🎯 Target Market

Primary users: Software developers, AI engineers, and indie hackers (ages 25-45) using AI coding tools, concentrated in North America, Europe, and tech hubs globally. TAM for AI developer tools ~$10B+, SAM for workflow enhancers ~$2B, SOM for voice-AI niche ~$100-200M. Core pains: AI output overload and context switching. High willingness to pay for pro/enterprise features given productivity gains (despite free personal tier).

⚔️ Competition

Low. Direct competitors: 1. Talon Voice (talonvoice.com), 2. Cursor (cursor.com - built-in AI features), 3. Aider (aider.chat), 4. GitHub Copilot (github.com/features/copilot), 5. Custom macOS TTS scripts. Advantages: Unique project-level voice summarization for parallel agents, seamless integration with specific tools, mobility via phone. Disadvantages: macOS-only, relies on third-party AI tools, limited to personal free use initially. Strong differentiation in voice layer for agentic workflows.

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