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Our vision

One place that understands your whole life

me starts with movies. But the real vision is bigger: a single profile that understands what feels right for you across movies, books, games, restaurants, travel — and the people you share those experiences with.

A single profile for everything you like

Today, me launches with movies. That is the sharpest place to prove the promise: if you have a me profile, you get better recommendations than anywhere else. But the data model underneath is already built for a much broader life.

me: Centralized Preferences & Power Features - A visual representation showing how a central 'me: your profile' hub aggregates personal preferences across Movies, Books, Games, Restaurants, and Travel, powering recommendations, social connections, and gift-giving assistance.

Over time, me will understand you across:

  • Movies — the foundation: what you watch, how you rate it, why it worked or did not.
  • Books — the themes, worlds, and voices you keep coming back to.
  • Games — how you like to engage: strategy, story, challenge, or pure flow.
  • Restaurants — the flavors, atmospheres, and rituals that feel like you.
  • Travel — the cities, landscapes, and moods that make you feel at home.

Each field is modeled in the same structured way: content, your relationship to it, your ratings and comments, and the patterns that emerge over time. The more you share, the clearer those patterns become.

Every new category makes the others smarter

me is not a collection of separate apps. It is one preference engine with many fields feeding it. Every time a new category comes online, the rest of the system gets better — that is the flywheel.

  • Movies sharpen your taste for pacing, tone, structure, and themes.
  • Books expose the ideas and emotional arcs that stay with you.
  • Games reveal how you like to make decisions, take risks, and spend focus.
  • Restaurants show your comfort zones and where you are willing to explore.
  • Travel makes your sense of place, atmosphere, and energy visible.

When all of this is connected, recommendations stop being guesses. If me knows that you like slow-burn, morally complex movies, grounded sci‑fi novels, small restaurants with quiet corners, and cities with cold light and walkable streets, it can suggest something new that feels uncannily right — even if you have never heard of it before.

That is the flywheel: more categories → richer patterns → sharper recommendations → more reasons to add data → an even clearer picture of you.

Friends turn understanding into shared experiences

Knowing you deeply is the point. But a big part of being you is who you spend your time with. The friends feature is how me turns personal understanding into shared experiences — without ever losing the focus on you.

Connect with the people who matter

Inside me, you will be able to connect with friends in a way that respects both privacy and usefulness:

  • Send and accept friend requests inside the app.
  • Choose what parts of your profile are visible to friends.
  • See high-level taste profiles: favorite genres, directors, themes, and patterns.

Joint recommendations that still feel like you

When you ask, “What should Ana and I watch tonight?”, me does not average you into a bland middle. It cross‑references both profiles and looks for the intersection that still feels like each of you.

For two people, that might look like:

  • Movies that share Ana’s love of character‑driven drama and your preference for tight sci‑fi plotting.
  • A restaurant that overlaps Ana’s love of quiet spaces with your preference for new flavors.
  • A city break that matches both of your travel patterns — walkable, good coffee, long evenings.

For three or more friends, me can treat it like a small decision system: find candidates that respect each person’s hard limits, then maximize the overlap in what everyone actively enjoys.

me still knows YOU first

Friends do not dilute the core promise — they extend it. me is built to know you. Your individual profile stays the anchor. Group and friend recommendations are layered on top of that, not the other way around.

The result: nights, trips, and meals that feel like all of you, not compromises nobody really wanted.

From movies to the full me

The rollout is deliberate. First, prove the value with movies. Then expand along the same data model into other fields where better recommendations matter.

  • MVP — Movies, swipe discovery, conversational input, smart lists.
  • Next — Books, games, and restaurants built on the same content domain.
  • Then — Travel and other categories that benefit from deep, personal preference maps.
  • Social — Rich friend features, joint recommendations, and optional shared experiences.

Under the hood, everything shares one structure: fields, types, content, your relationship to that content, and the swipe and rating signals that teach me what to show you next.

The long-term promise of me

The vision is simple: if you have a me profile, you get better recommendations than anywhere else — not just for what you watch, but for what you read, play, eat, and where you go, alone and with the people you care about most.

This page looks ahead. The live product will grow into this vision step by step, starting with movies and expanding into new categories and friend features over time.