Build your Watchlist with AI in under 5 minutes

Build a Letterboxd / Trakt-style watchlist with a poster-grid view, status overlays (want / watching / watched / dropped), per-show episode progress, 5-star ratings, and an 'Up Next' hero that surfaces the show you're actively watching — generated from a single prompt.

工作原理

步骤 1

描述您的想法

用纯文本提示描述您想要的内容。

步骤 2

AI 为您构建

FloopFloop 即时生成生产就绪的代码。

步骤 3

部署并上线

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为什么选择 AI 构建而非雇佣开发者?

FloopFloop传统开发者
上线时间5 分钟以内2 至 8 周
费用低至 $0$5,000 - $50,000+
维护已包含持续外包费用

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复制以下任意提示词,粘贴到 FloopFloop 即可开始构建。

Build a Letterboxd-style movie + show watchlist. Each title is a poster card with the status (want / watching / watched / dropped) shown as a corner overlay and the poster background tinted by status. Shows have a totalEpisodes field with a per-card progress bar; clicking 'Mark episode watched' on the per-card primary button bumps the count and auto-flips status to 'watched' on the last episode. Hero strip at the top surfaces the show you're most actively watching ('Up next: Severance · Episode 12 of 19') with a one-click 'Mark episode watched' CTA so you can rip through episodes without scrolling. Stats strip: watched-this-year count, average rating, top platform. Status-chip filters above the grid for quick drill-down.

Create a couples' shared watchlist — same model but every title has an 'agreed' flag (both Alex and Sam want to watch it) that surfaces those first in the 'want to watch' bucket. Each watched entry tracks who watched it (one of: Alex / Sam / both) so the 'watched together' subset can become its own filter chip. Useful for 'haven't watched anything together in a while, what's on the agreed list?'.

Design a film-club tracker — same model plus per-title fields for the club member who recommended it, the meeting date it'll be discussed, and a 'club rating' (separate from your personal rating) that's the average of every member's score. Surfaces the queue for the next meeting in the hero strip instead of 'Up next'. Export a season summary as CSV at year-end so the club has a record.

Build a streaming-platform optimiser — same watchlist but each title's `platform` field powers a sidebar that shows 'X titles currently on your watchlist are on Netflix, Y on Hulu, Z on Disney+'. Surface a 'top platform by want-to-watch count' so the operator can decide which subscription to keep paying for next month. Useful right before a cancel-or-keep decision.

常见问题

How does this compare to Letterboxd / Trakt / Reelgood / TV Time / Simkl?
Letterboxd is the dominant film-diary app (paywalled features at $19/yr); Trakt is the show-and-movie tracker for the cord-cutter crowd (paywalled at $30/yr); Reelgood and JustWatch focus on 'where can I stream it'; TV Time and Simkl handle episode progress. All five keep your watch history inside their cloud. The FloopFloop-generated version lives on YOUR subdomain with no subscription and no cap. The poster-grid + 'Up next' hero is the core of the TV Time / Trakt UX, surfaced first-class out of the box.
Why use emoji posters instead of real movie images?
Real poster images need a third-party API (TMDB, OMDb) with an API key and image-hosting, which adds two failure modes the operator has to manage. Emoji + a status-tinted gradient is theme-aware (works in all 5 globals.css palettes), purely client-side, and never breaks. Refine with 'fetch posters from TMDB by title — add a TMDB_API_KEY env var and lazy-load images with the size-w185 endpoint' if you want real artwork.
How is the 'Up next' show picked?
Heuristic: it's the most-recently-added show with status='watching' and episodesWatched < totalEpisodes. Recently-added is a proxy for 'still excited about this one' — when an operator finishes a season and starts another show, the new one auto-surfaces as Up Next. Only one show is featured at a time so the hero stays focused. Refine with 'pick Up Next based on episodesWatched / totalEpisodes ratio (least progress first)' if you'd rather knock out long-in-progress shows.
Where is my watchlist data stored?
The default template uses browser localStorage so the watchlist works instantly with no signup. Titles + episode progress live on whatever device you're typing on and don't sync across devices. Refine with 'add a Postgres backend so my watchlist syncs across devices via a login' to move to server storage. The codegen scanner blocks every external database (Supabase / Firebase / MongoDB) so the data stays on your own per-tenant Postgres schema.
Can I import my existing Letterboxd / Trakt / IMDb watchlist?
Not in the default — manual entry is the simpler MVP. Refine with 'add a CSV import that accepts a Letterboxd export and creates one title per row, mapping the Letterboxd rating column to my rating field'. Letterboxd, Trakt, and IMDb all support CSV export from account settings. The codegen wires the file upload + the column mapping + the import button in one round.
What if I want to track per-season progress instead of just total episodes?
The default model uses a flat totalEpisodes / episodesWatched pair — the simplest shape that supports the 'Up next' progress bar. Refine with 'track shows by season: each show has seasons[] with totalEpisodes per season, and the episodesWatched counter is the sum of per-season progress' for finer-grained tracking. The Up Next hero will then surface 'S2E3 of S2 (10 episodes)' instead of just 'Episode 12 of 19'.
Does it remind me when a new episode airs?
Not in the default — that needs a third-party API call (TMDB or TVDB) on a daily cron to check air-dates. Refine with 'add a daily cron that calls TMDB for every watching-status show and emails me when a new episode airs' (the codegen wires the cron + the API call + the email template in one round). For phone push: 'add a service worker + Web Push subscription so my phone gets a notification on episode air-day'.

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