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3 commits

Author SHA1 Message Date
Austin Schaefer
67d399ad05 Add desktop platform support via a new feedsignal-web desktop feature
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Combines dioxus's desktop (webview) renderer with the existing `server`
feature so `#[server]` functions execute in-process instead of going over
HTTP — one self-contained native binary with DB, feed polling, LLM calls,
and the scheduler, no separate server to run. main.rs picks the desktop
launcher explicitly since dioxus::launch's automatic platform detection
would otherwise prefer the (also-enabled) server platform over desktop.

Verified: cargo check/clippy pass for the new feature (native crates and
existing server/web features unaffected), and running the built binary
opens a window and completes an in-process server-fn call (DB connects,
migrations run) with no HTTP round trip. CI gets a matching desktop
clippy job with the GTK/WebKit apt packages dioxus-desktop needs to
compile on Linux.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-15 12:36:22 +02:00
Austin Schaefer
2b61c80143 Default LLM scoring stage to a model already pulled locally
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Was hardcoded to llama3.1, which isn't actually on this machine.
Switched to gemma4-e4b (5.0 GB, already pulled) as a speed/quality
balance for a call made once per shortlisted article on every
pipeline run.
2026-08-20 17:11:33 +02:00
Austin Schaefer
1a4a72fc27 Scaffold feedsignal: Rust workspace for LLM-filtered RSS reader
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Rust workspace with core (topic-affinity learning engine + relevance
scoring), db (sqlite/sqlx schema + repo), feeds (RSS/Atom fetch), llm
(rig + local Ollama embeddings/completion), and web (axum + Dioxus
fullstack UI, no separate JS stack). Two-stage relevance filtering
(embedding shortlist -> LLM judgment) and an engagement/surprise-based
topic affinity engine with daily decay. All crates compile and core's
affinity engine has passing unit tests; server and wasm client targets
of feedsignal-web both check clean.
2026-08-20 17:04:14 +02:00