Sleep Peacefully. Wake Up Informed: How I Built Sloth Digest with Local AI

Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥

*This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady

Modern communication tools have turned our mornings into an anxiety trap. Between student councils, hackathon teams, and family WhatsApp groups, waking up often means confronting 300 to 500 unread messages: inside jokes, reaction emoji, pizza memes, and fragmented logistics. Finding whether someone actually asked you a question or set a deadline requires 35 to 45 minutes of compulsive, thumb-numbing scrolling.

I built Sloth Digest — an offline-first, local-first web application that reads your busy group chats overnight on your own computer so you wake up completely calm.

Instead of a chaotic wall of noise, you get a serene morning hearth answering four core questions:

Every extracted fact includes our Hallucination Guard: a 1-click citation linking back to the exact line number, author, timestamp, and raw text of the original chat export. There are zero cloud API calls — nothing leaves your machine.

Slow and steady: rewards laziness by reading busy group chats overnight on your local machine so you wake up completely calm. Built for the Dev.to Hacktoberfest Open-Source AI Challenge (Week 3 Theme: "Slow and Steady" ).

You belong to 15 busy group chats: hackathon teams, college project channels, student councils, and family groups. Over an evening, hundreds of messages accumulate: inside jokes, memes, fragmented planning, and reaction emoji.

Sloth Digest processes your exported WhatsApp chats (.txt or.zip ) overnight on your local machine using an open-weight model via Ollama. When you wake up, a serene…