I built myself a morning radio station (audience: one)

Описание и применение

Автоматический утренний брифинг из Obsidian, отправляемый в WhatsApp в виде изображения и голосового сообщения.

Задача

The author needed a daily briefing of tasks, pipeline, and weather without manually checking Obsidian.

Результат

The system delivers a daily dashboard image and a 60–70 second voice note to the author’s WhatsApp, automating the morning briefing process.

Рабочий процесс

• Read Obsidian vault to extract tasks, pipeline, and project status
• Render dashboard image with Python and Pillow
• Fetch Melbourne weather from wttr.in
• Generate a spoken summary script with an LLM via opencode CLI
• Convert text to speech using VoiceStudio/OmniVoice, Gemini TTS, or macOS say
• Render audio to Ogg/Opus with ffmpeg
• Send image and voice note through local OpenWA gateway to WhatsApp
• Wait for delivered/read confirmation before terminating

Доказательства

Every morning at 07:00 AM, Chucka sends two things to my own WhatsApp.

Источник

Python and Pillow render it directly from the live files in my Obsidian vault.

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The script is written fresh by an LLM each morning; a text-to-speech model turns it into audio that sound natural.

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Audio is rendered, converted to Ogg/Opus with ffmpeg, then sent through a local OpenWA gateway to WhatsApp.

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I learned that a status of sent means the message has been queued, not necessarily delivered.

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