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• Daily Idea - Stream. Match. Love.

• You are What You Watch

Find Love Through Watch History

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The One Liner

Date people who vibe with your YouTube history.

The 140 character tweet (or X) version

Tired of swiping through strangers? This AI dating app matches you with people who binge-watch the same weird YouTube rabbit holes.

The Longer Story Version

The Problem

Dating apps are broken.

You scroll, swipe, judge, match, and…nothing.
The convo dies after “hey.” The chemistry is off.
It’s all just vibes—and not the good kind.

Most dating apps reduce people to a photo and one-liner.
The result? Shallow convos, surface-level connections, and 8 minutes of small talk before ghosting.

But here’s the truth: what you watch says more about you than your profile ever could.

Do you binge MrBeast? Listen to philosophy breakdowns? Watch poker hands at 2am?
That’s the real you.

And somewhere out there, someone watches the same weird stuff.

So what if we matched people on that?

The Solution

This app connects people through their YouTube watch history.

Here’s how it works:

• Log in with YouTube.

• The AI analyzes your rabbit holes—videos, genres, creators, late-night obsessions.

• It finds people with similar watch patterns.

• You match. You chat. You bond over your shared love of “Primitive Technology” or “Finance TikTok reacts.”

It’s not about looks or bios—it’s about who you actually are based on what you watch when no one’s watching.

It’s like Hinge had a baby with your YouTube algorithm.

How We’d Build It

Beginner Build – Weekend MVP

• Auth & API: Use OAuth + YouTube Data API v3 to grab viewing data (make sure users opt-in).

• Matching: Use Pinecone or Weaviate for vector similarity on video embeddings.

• AI Layer: Use OpenAI’s GPT + Clipkit to summarize and cluster video categories/interests.

• Frontend: Webflow or FlutterFlow for a clean mobile-first front end.

• No-Code Backend: Use Xano or Supabase for auth, data, and matching logic.

Intermediate – Beta Product

• Personalize onboarding flow based on key watch signals.

• Show “Shared Interests” with every match.

• Add conversation starters based on mutual content.

• Start with a niche community: creators + tech Twitter.

Pro – Launch & Scale

• Embed short-form video intros based on favorite creators (“Record your intro in your favorite YouTuber’s style”).

• Add AI-generated date ideas based on your combined watch history.

• Integrate viral loops: “Invite your YouTube twin and get a free month.”

• Go live on Product Hunt + Reddit (subreddits like r/YouTube, r/InternetRabbitHoles, r/DatingOverThirty).

Why It Needs to Exist

Dating is broken because we’re trying to find real love using fake signals.

You don’t marry someone because they like dogs and hiking.
You marry them because you both thought that “cutting soap” video was weirdly satisfying.

This flips the script: less swipe fatigue, more shared interests from day one.

It’s like letting your YouTube algorithm pick your soulmate.
And honestly? That thing knows you better than your mom.

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You Are What You Watch

Here’s a spicy truth:
The things people say they like? Lies.
The things people actually watch? Pure gold.

People lie in bios. They flex in interviews.
But their watch history? That’s the unfiltered feed of who they really are.

You’re not what you claim in a survey.
You’re the 42-minute “How to Escape a Giant Octopus” doc you watched at 2am.

And guess what? That behavior is a cheat code for startup ideas.

The Insight:

You don’t need better data.
You need real data.

Stop building startups based on what people say they want.
Build based on what they actually binge.

Watch history is the digital version of a diary.
It shows obsession, curiosity, boredom, anxiety—all in raw form.
And that’s where the real startup juice lives.

Where’s the Opportunity?

1. Behavior-Based Matchmaking

Who watches the same weird rabbit holes as me?
This applies to dating, friends, cofounders, teams.

Startup unlock: Create a layer that connects people through shared content behaviors.
They don’t need a shared hometown—they need a shared love of slow-mo food videos.

2. Interest Graphs > Social Graphs

Forget followers. Follow interests.

People don’t want more friends—they want to find their people.
The ones who also watch 12 hours of chess videos a week.

Build discovery tools, social layers, or new platforms that connect users via what they consume.

3. Unlock New Identity Layers

Everyone’s trying to build better identity online—LinkedIn for work, Instagram for flex.

But nobody’s building the identity graph based on what people consume.
There’s a play here: Watch-to-Earn, Watch-to-Unlock, Watch-to-Match, Watch-to-Shop.

The key is passive intent. People don’t even know what they want—but their behavior already shows it.

Tools to Explore This

• Truffle.dev – Creates a local layer for browsing/watch history. Great for analyzing patterns.

• YouTube API + Pipedream – Pull a user’s viewing data and route it through an LLM pipeline.

• Recast – Turns long-form content into personalized summaries. Useful for categorizing interests.

• Whylabs – If you’re using this at scale, monitor the data pipeline with anomaly detection.

• Heygen – Spin out personalized content or avatars based on the stuff users love. Could be fun as a social layer.

Bonus Build Paths

• Plug-and-Play SaaS: Let creators build “interest clubs” based on what their audience watches. Not a community, a content fingerprint.

• B2B SaaS: Imagine HR tools that match candidates with roles not just by skills—but by what they’re learning on YouTube behind the scenes.

• Consumer Side Hustle: A Chrome extension that analyzes your watch history and gives you identity labels like “Aspiring Pilot” or “Secret Chef.” Monetize it with insights, content recs, or social graphs.

Why Now?

Because people don’t need more data—they need better lenses.
And watch history is a freakin’ telescope into someone’s soul.

We’re in the golden era of interest-based personalization.
If you can tap into what people really consume, you can build products that feel psychic.

Forget demographics.
Forget surveys.
Forget cold starts.

Just watch what they watch—and build something for that person.

One More Meme