# LazyDigest: Zero-Effort Note Digests Powered by Local Gemma > Source: > Published: 2026-10-26 01:07:52+00:00 *This is a submission for the [Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady](https://dev.to/challenges/hacktoberfest-week3-2026-10-19)* I built **LazyDigest**, a small background utility that takes the raw, unorganized Markdown notes I drop into a folder and turns them into a short daily digest: a category, a one-line takeaway and an optional action item for each note. Instead of organizing folders, adding tags or re-reading messy scratchpads, LazyDigest runs quietly every night at 03:00 using our Faithful Servant, Google's **Gemma 3 1B** open-weight model, through Ollama. I dump files into a folder, go to sleep, and wake up to a summary. *(The video shows LazyDigest reading a folder of raw Markdown notes, writing a digest file offline, and moving the processed notes into the archive folder.)* **LazyDigest** is an open-source, local-first background utility that reads the scattered Markdown notes you drop into a folder and turns them into one short daily digest — a category, a one-line takeaway, and an optional action item per note — using Google's Gemma model running locally through Ollama. Built for the **Hacktoberfest Open-Source AI Challenge 2026 (Week 3: Slow and Steady)**. `.md` file in `data/input_notes/`.` gemma3:1b` via Ollama, without sending data to external APIs.`data/output_digests/digest_output.md`, then moves processed notes into `data/processed/` so they are never read twice.`--daemon` and it digests your notes every night at 03:00 while you sleep.`ollama-python` with `schedule` library runs it daily at 03:00 and moves processed files into