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Viktor V.
Viktor V.

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Building an AI-Powered Crypto Intelligence Platform

A few months ago I realised I was spending an unhealthy amount of time consuming crypto news.

Not even trading. Not researching deeply in particular. Just… consuming.

Open X.
Check a few news sites.
Open Telegram.
See another headline.
Refresh markets.
Read another thread explaining the same thing differently.

And after hours of this, I still had the feeling that I didn’t really understand the market better.

I just had more information in my head.

The problem wasn’t lack of data. Crypto already has infinite data and a huge amount of noise. The problem was that everything felt fragmented and noisy. Ten websites would publish the same story with slightly different wording. Important narratives were buried under hundreds of smaller updates. Some days it felt harder to understand the market after reading the news than before.

There must be a better way to consume and understand news quickly and that’s how the idea for SilentSatoshi started.

I didn’t want another crypto news feed that will overwhelm you with titles, charts, tickers and so on. I wanted something that could genuenlyhelp me understand the market in a very short amount of time.

Something that could answer questions like:

What is the market focused on right now?
Is sentiment turning bullish or fearful?
Which sectors are gaining attention?
What narratives are growing?
Which stories actually matter?

So I started building tools for myself.

One of the first things I built was Market Mood. Instead of reading dozens of articles individually, SilentSatoshi analyzes news and market activity continuously and tries to give a high-level overview of overall sentiment. The goal wasn’t prediction. It was clarity. Check it out live here.

Then I noticed another problem: crypto news is incredibly repetitive.

A single story gets rewritten by dozens of sources, and you end up reading the same information again and again without realising it. So I built story clustering. SilentSatoshi groups related articles into evolving “stories” so you can follow the narrative itself instead of endlessly reading duplicate headlines. See it in action here.

That became surprisingly useful because markets often move through narratives, not isolated articles.

You can actually watch topics evolve over time. Some stories disappear within hours. Others slowly grow into major market themes. Seeing that evolution visually helped me understand momentum in a way raw news feeds never did. The perfect example is the "Bitcoin Price Analysis" story which displays an accurate evolution of the narrative.

I also added sectors and asset tracking because I wanted to quickly see where attention was moving across the market. Some days the focus shifts toward AI, sometimes DeFi, sometimes macro events or Bitcoin-related stories. Instead of manually piecing that together from different websites, SilentSatoshi tries to surface it automatically. Check out where attention goes in the current market here.

One thing I kept reminding myself while building this was:
don’t create more noise.

That sounds obvious, but it’s surprisingly easy to build dashboards full of charts and alerts that look impressive while making it even harder to focus. I wanted SilentSatoshi to feel calm and useful. Something you open for a few minutes to understand the bigger picture instead of getting trapped in infinite scrolling.

A big part of the development process was experimenting fast. I used Gemini heavily while building features and iterating on ideas, CoinGecko for market data, and Loops for emails and user communication.

Being a solo developer means wearing every hat at once — product, design, frontend, backend, infrastructure, copywriting, support — so tools that helped me move faster made a huge difference.

There’s still a lot I want to improve, but today I finally launched SilentSatoshi on Product Hunt.

If you want to check it out or support the launch, here’s the link:

👉 Product Hunt Lanuch

And honestly, if you do try it, I’d love real feedback.

Not “great job” feedback.
Actual feedback.

Because the entire reason this project exists is that I wanted a better way to understand the market myself, and I’m still refining what “better” actually means and I need your help to do so.

Thank you for reading 🙏

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