Lunchido uses a smart algorithm with three scorers: cooldown (no repeat within 36 hours), rejection penalty (reduces score by half per consecutive rejection), and balance (favors restaurants shown fewer times). This ensures variety and avoids repeats.

Yes, Lunchido is completely free to use with optional ad support. There are no paid plans, subscriptions, or hidden fees.

Yes, you can add up to 8 custom restaurant spots. Each spot can have a cuisine tag for easy identification.

Not yet. Lunchido tracks which restaurants you eat at and which you reject to avoid repeats and improve variety. True preference learning is planned for a future update.

Your restaurant list and decision history are stored locally in your browser. Lunchido does not collect or transmit any personal data. We plan to send anonymous usage statistics (no personal data or restaurant names) to help improve the product. Third-party ad services like Google AdSense may use cookies as described in our Privacy Policy.

Lunchido supports English, 繁體中文 (香港), 繁體中文 (台灣), 日本語, 简体中文 (新加坡), Español, and 한국어.

It is a double meaning. Lunchido is a mashup of "Lunch Decidophobia" (the struggle of choosing where to eat), compressed into something punchy. At the same time, it reads like a Spanish past participle — "lunch" plus "-ido" (like "comido") — so it also means "already had lunch." Same word, two sides: the problem and the solution.

Yes. Lunchido is a Progressive Web App (PWA). Add it to your home screen for an app-like experience. On iOS, tap the Share button and select Add to Home Screen. On Android, tap the menu and select Install Lunchido.

Partially. Once the page loads, your restaurant list and decision history are cached in your browser. You can spin and make decisions offline, but initial page load requires an internet connection.

A coin flip is pure randomness. Lunchido uses a weighted algorithm that considers cooldown (no repeats within 36 hours), rejection history (halves score per rejection), and balance (favors less-visited spots). It avoids the patterns that make pure randomness feel unfair.

Not yet. Multi-person mode is in the works — it will let groups decide where to eat together. For now, each person uses their own device with their own restaurant list.

The limit keeps decisions fast. With too many options, the paradox of choice kicks in — the same problem Lunchido is designed to solve. 8 spots is enough variety without causing decision paralysis.

Each rejection halves the restaurant score. After enough rejections, it will almost never appear. This prevents the algorithm from suggesting places you clearly do not want.