Leedo

Leedo

The only news clipping with AI trained for you

4 followers

Tell us what matters to you, write in your own way, specific themes and keywords; Leedo searches, filters and delivers only the news that matters; No excess. No noise. Just the gold, straight to your inbox.
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Free
Launch Team
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
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What do you think? …

Felipe Ribeiro (Prof Felipe Ribeiro)
I built this because I realized that every other option lacked support for niche-specific terms — and the truth is, everyone operates within a niche. Each person has a highly specific role within their company, but there’s no newsletter tailored to each of those niche roles. With this AI, I aim to deliver a hyper-personalized newsletter for each individual.
Felipe Ribeiro (Prof Felipe Ribeiro)

Hi guys!

I've been doing this kind of very personal, automated news clipping for myself since I was an intern, and I realized how much it helped me. I truly believe that for people who actively consume news, a tool like this could be incredibly useful — especially for receiving highly specific news tailored to a niche. And let’s be honest: everyone who works is in a niche. You might be in a large industry, but within it, your role is usually quite specific. That’s my goal: to make sure everyone can have their own personalized news clipping.

Are you in data science? Great — but in which sector?

Are you in the financial industry? Awesome — but what’s your specialization?

Are you a physician? Amazing — but what’s your area of focus?

All of you can receive a newsletter curated specifically for you.

Important:

We don’t break paywalls. We work only with headlines and brief summaries. If you're interested, we redirect you to the original source.

How it works:

The user adds their keywords or niche terms, and the next day they receive their personalized newsletter. For free.

Next steps:

We'll analyze the links the user clicks in their newsletter to understand preferences — what kind of news and which sources they prefer — and use that to improve personalization and source prioritization.

We're also working on developing a better algorithm to understand user preferences, improve source quality, generate dynamic titles for each day’s newsletter based on its main theme, and enhance our summarization engine.