Forky, answered.

Forky is an AI macro tracker built as a native iOS app by Elie DTDR in Lausanne. It uses computer vision (GPT-4o) to identify every ingredient in a fridge photo or every component in a meal photo, then computes calories, protein, carbs, and fat using a per-component USDA-style lookup. It tracks daily macros against personalised targets, imports recipes from URLs, photos, PDFs or text, and localises the macro flow in English or French.

Forky uses a three-pass vision pipeline (base layer, toppings, sauces) plus per-100g macro lookups rather than asking the model for whole-plate totals. Empirically this lifts accuracy from roughly plus or minus 25 percent on naive vision-only estimates to roughly plus or minus 10 to 15 percent on standard plated meals. Users can tap any component to adjust its gram weight and watch the totals update in real time.

You take one to three photos of the inside of your fridge. GPT-4o Vision returns a JSON list of every visible edible ingredient with an estimated quantity and freshness label. Forky upserts that list into your inventory, infers a shelf-life-based expiry date for each item, and surfaces the items expiring soonest in your meal suggestions so you cook the chicken before the broccoli.

Forky is free to install. Monthly and Yearly Pro include a 7-day Apple Introductory Offer, so payment starts only after the free trial unless you cancel first. Launch pricing: CHF 9.99/month, CHF 50/year, or CHF 150 once for the Founders Lifetime tier. Lifetime has no trial because it is a one-time purchase.

Not yet. The current build is iOS-only via the App Store, targeting iOS 16 and newer iPhones. An Android version is on the roadmap once the iOS app reaches a stable revenue baseline. The marketing site at forkyai.com works in any browser, but the photo-scan flows require the native camera.

Forky photos and macro logs are stored on a self-hosted backend in France, operated by Elie DTDR (Lausanne, Switzerland). Meal photos are uploaded to Cloudflare R2 for offsite backup, encrypted at rest, and served via short-lived presigned URLs. No data is sold. The full policy lives at forkyai.com/privacy and covers GDPR rights, subprocessors, and account deletion.

Yes. The import screen accepts four sources: a URL (Forky scrapes the page and structured data), a photo (vision extracts the ingredients and steps), a PDF (OCR plus parsing), or plain pasted text. Imported recipes land in your library with computed macros per portion and an AI-generated hero image that is vision-verified against the dish name before being saved.

Yes. WHOOP is live now and Forky keeps wearable data synced in the Track tab. Apple Health, Health Connect, Oura, Garmin, Fitbit, Strava, Polar, Suunto, and Coros are prepared as provider slots so each source can be enabled as soon as its credentials or native bridge are ready.

Forky is built and operated by Elie DTDR personally, based at 18 avenue de Valmont, 1010 Lausanne, Switzerland. Founded in 2025. Support is reachable at [email protected].

MyFitnessPal is a database-search tracker (you type or scan barcodes). Cal AI is a single-photo calorie estimator. Forky combines both with a third pillar: a fridge inventory plus AI recipe generation from what you actually have. Forky also imports recipes from any URL, photo, or PDF and persists per-component breakdowns so users can edit gram weights instead of accepting a black-box total.

English and French. The entire onboarding flow, paywall, recipe prompts, and macro tracking interface translate end-to-end. Forky detects the device language on first launch and offers a one-tap switch in Profile. The backend stores the user's preference and respects it across the app.