Voice-Mode MCP – Conversational Coding for Claude Code, Gemini CLI

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When I heard about Google's clone of Claude Code this morning I tried out my 2 week old MCP server and instantly had two way voice conversation with it. Gemini seemed a bit confused by this. :-) https://youtu.be/HC6BGxjCVnM?feature=shared&t=36 It's a FOSS MCP server I created a couple of weeks ago: - https://getvoicemode.com - https://github.com/mbailey/voicemode # Installation (~/.gemini/settings.json) { "theme": "Dracula", "selectedAuthType": "oauth-personal", "mcpServers": { "voice-mode": { "command": "uvx", "args": [ "voice-mode" ] } } }

Visit product View on Hacker NewsJun 26, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, mcp, google · Missing: mac, agents, macos

91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: created, gemini · Missing: supports, reddit linkedin, podcasting

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, google, way · Missing: mobile apps, ios, entrepreneurs

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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