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A group of students revolutionized the way to discover what to see, read and listen

Cover a picture of how to rebuild a group of students quietly in the way you discover what to see, listen to and readCover a picture of how to rebuild a group of students quietly in the way you discover what to see, listen to and readHow do a group of students rebuild the way you discover what to see, listen and read – without algorithms

We are not supposed to build this.

We are just Brazil students. There are no Silicon Valley guides. No great financing. No noise machine.

But we are here – and people began to notice that.

Because while anyone else races to build more intelligent algorithms, we do something completely different:

We rebuild confidence in recommendations – by returning humans to the center of culture.

Welcome to the recommendation.

💥 Al -Shaarah: frustration with the algorithm summary

We are tired of telling me what to see with a black box.

Netflix, Spotify, YouTube – they all started to feel that they show us the same content, over and over again. Not because he was the best, but because he was the safest.

Worse: I felt without a soul.

Where was the reason behind the recommendation? Where was the passion? Random? Humanity?

We no longer trust the algorithm. Therefore, we have built something that we could trust: each other.

🛠 The first version: ugly, raw – alive

We launched a rough page. Film list. No machine learning. No “If you like x, you will desirable y.”

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Just real people who recommend the things they loved, for a simple reason: “This made me feel something. You might like it too.”

Something clicks. difficult.

Friends began to share music. books. Podcast. tools. People from different cities – and in the end different countries – began to use it.

We realized that we were not a start -up construction. We were igniting a movement.

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🧠 What makes the recommendation different?

We are not trying to predict what you like. We are trying to connect you to a person already.

🔍 Real people publish real recommendations

💬 All ReC includes the reason for something

🎭 You can explore according to the type, emotion or site

🗺 There is a cultural map of what is common near you

🤖 Our chatbot is not hallucinated – it pulls real recommendations

This is not related to what is directed. It is related to what is authentic.

🚀 From a side project to a cultural rebellion.

We did not ask for permission. We did not wait for funding. We did not spend months on the floors.

We only built what we need – and people followed us.

The recommendation is now a place:

A Brazilian movie can go virus in Canada

The forgotten book can inspire a new generation

It can become a podcast with 38 listeners preferred for someone

RAM can change your point of view by publishing one

This is not an application. It is resistant to fatigue.

🔮 What is the following for Unlometing? We did not finish. Not even near.

almost:

🎥 Recs similar to the video, similar to tiktok- but about real taste

🌎 Multi -Language Edition (EN, PT, ES) for construction over cultures

🧑‍🎨 The creator’s status – where the curators and artists publish what they love

💬 Fastage community chat (without llm-only in actual time, Recs Real)

And yes – we had people approaching us about financing. But we are building carefully. And with values.

No growth breakthroughs. No nonsense.

❤ Why does it really matter

We believe that the discovery is not related to algorithms. It is about people.

Recs should feel personal, improved.

The taste is not repression. It is a fingerprint.

The best things in life are recommended by someone who cares.

If you felt exhausted, inspiring, or creatively, …

Then the recommendation was built for you.

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