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Live Next.js · Claude Vision · Gemini

Cookmark.

Recipes from Instagram reels, turned into structured cards — in one click.

Cookmark — input field for reel URL.
01/03

Step 01 · of3

Paste reel URL

Reels are fleeting. Recipes shouldn’t be.

Christine watches a reel in the evening — lentil curry, looks great. She saves it. A week later: 47 saved reels, no plan, no ingredient list, no recipe in her head. The standard problem of Instagram food content — the inspiration vanishes with the next swipe.

Existing solutions fail at one point: they force you to type the recipe out manually. With a 30-second reel that runs voice-over, edits and on-screen text in parallel, that’s not feasible. Notion, Apple Notes, screenshots — they all build graveyards instead of cooking cards.

Paste the URL. AI extracts it. Card ready.

Cookmark takes a reel URL, lets Claude Vision analyse the video and Gemini transcribe the voice-over. The result is a structured cooking card: ingredients with quantities, steps in order, cooking time, difficulty. Three seconds, no typing.

Live with real users. Storage in Supabase with row-level security per user. Installable as a PWA on iOS and Android — no app store. Offline mode via IndexedDB for saved cards. Coming next: weekly meal plans plus shopping list aggregation across multiple cards.

/ tech-decisions

Three decisions that mattered.

Vision Model

Claude Vision for image analysis

GPT-4o was cheaper per call, but Claude reads hand-edited reel sequences more reliably. Voice-over goes to Gemini — best price-performance ratio for German-language audio.

Database

Supabase with Row-Level Security

Multi-user from day one. Auth via magic link, RLS per user ID. No need for separate databases per account — RLS is enough.

PWA

Installable without the App Store

iOS 17+ supports installable PWAs without the store gatekeeper. Saves 99 €/year Apple Developer plus reviews. Trade-off: limited push notifications — Cookmark doesn't need them.

Open Cookmark live → Status   Live · in production

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