Night Scout: Gemma gathers stuff of interest so I wake up to a powerful digest and next steps

Description and use

Night Scout automatically processes nightly news feeds, using a local Gemma model to score and filter items, producing a morning digest of up to 25 top stories and project‑specific actions.

Problem

The user spends hours scrolling through multiple feeds (Hacker News, Reddit, YouTube, blogs, etc.) and ends the day with no actionable outcomes.

Outcome

Night Scout reduced the user’s nightly feed consumption from hours of scrolling to a 25‑item digest and actionable project picks, with 40 items judged in 14 minutes on a 16 GB Mac and 7 actionable picks the next morning.

Workflow

• 1. Define topics in natural language.
• 2. Point Night Scout at project folders to build project profiles.
• 3. Run Night Scout overnight – it fetches feeds, runs Gemma to score items, and stores results locally.
• 4. In the morning, view the Digest page for summaries and key points.
• 5. View the Actions page for project‑specific picks and next steps.
• 6. Execute a next step (e.g., run a sandboxed install, add a note, or research more).

Evidence

Night Scout reads the feeds I'd otherwise doom-scroll (YouTube channels, blogs, Hacker News, Reddit, Bluesky, Mastodon and GitHub releases), and a local Gemma model reads the most promising items.

Source

Gemma files each item it reads under one of them with a strict score, and only stories at 80 % or more make the Digest, 25 at most.

Source

For the night of Oct 21 ... 140 new items, 40 pre-filtered for Gemma, all 40 judged in about 14 minutes on a 16 GB M4 Mac with 0 failures, and 7 picks in the morning.

Source

With an optional add‑on (pip install "night-scout[voice]"), a Listen button reads the Digest aloud: each headline, where it's from, and Gemma's summary, topic by topic.

Source