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一分鐘完成驗證A non-commercial personal web app that recommends films based on a user's selected mood, limited to English, Hindi and Tamil titles.
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取自儲存庫 README
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檢視完整 README ↗What to watch or read tonight, in three taps. Pick a mood, an energy and a time; swipe a short deck; let your favourites go head-to-head; get one pick: tonight's film or series, or the next book.
Built for one person on an iPhone and a Mac. Signed out, the landing page above is all there is to see; sign-in is a passkey, and there is no sign-up page.
flowchart LR
T["Three taps<br/>mood · energy · time"] --> D["Deck of up to 15<br/>swipe save · skip · seen · not for me"]
D -->|2–4 saves| H["Head-to-head<br/>best of your saves"]
H --> P["Tonight's pick<br/>and why it won"]
D -->|one save| P
P -->|film, 3 hours later| W["Did you watch it?<br/>stars → History"]
P -->|series or book| L["Watching / Reading list<br/>check-ins until finished"]
S["Saved"] -->|Pick from my saved| H
You need Node 24+ and Docker.
docker compose up -d # Postgres on localhost:5433
cp .env.example .env.local # fill in BETTER_AUTH_SECRET and OWNER_SETUP_TOKEN
npm install && npm run db:migrate && npm run dev
Then open http://localhost:3000/setup, enter your OWNER_SETUP_TOKEN and save a passkey.
DATABASE_URL).BETTER_AUTH_SECRET, OWNER_SETUP_TOKEN and TMDB_ACCESS_TOKEN; optionally NYT_API_KEY and CRON_SECRET./setup on the production domain and save your passkey.Architecture, scripts, deployment notes and how every deck is built: docs/how-it-works.md.
This product uses the TMDb API but is not endorsed or certified by TMDb. Where-to-watch data is provided by JustWatch via TMDb. Book data comes from Open Library. Bestseller data: The New York Times Books API. Book ↔ film and series links and award winners come from Wikidata (CC0).