There is always more crypto news than any one person can read. That is not a new observation — anyone who trades cryptocurrency has felt it. Open a feed in the morning and there are dozens of articles, all competing for attention, most saying the same thing in different words. A single event — a regulatory announcement, a major exchange outage, a protocol upgrade — generates a cascade of coverage. Some of it matters. Most of it is noise.
You can't always tell which is which without reading them. And by the time you have, the market has moved.
There is no shortage of tools that try to solve this. News aggregators collect articles from dozens of sources and surface them in a single feed. Sentiment tools score coverage as bullish or bearish. Alert systems notify you when a keyword appears. These all help at the margins. But none of them answered the question that actually mattered: of everything published in the last 24 hours, what is most likely to move the market, and in which direction?
That question requires something those tools don't offer: an AI that reads each article for market significance, not just topic or keyword. Something that evaluates a piece the way a sharp analyst would — considering what the news actually means for prices, how significant the effect is given where the market currently sits, and whether this is the fifth outlet reporting on the same story or the original signal worth reading.
Market Impact started as a local tool, built for personal use. A developer with an interest in trading, frustrated by the same problem, decided to build something to solve it. The original version ran locally and did one thing: read everything published that day, score it for market impact, and return a short list.
Stop reading everything. Read these.
What became apparent over time was that the de-duplication was as valuable as the scoring. When fifteen outlets cover the same event, they produce fifteen articles with very similar content — and very similar AI evaluations. The platform groups these together automatically, based on how close they are in meaning. The result is one narrative entry, led by the highest-impact article in the group, with the redundant coverage collapsed behind it.
The public version of the platform extends that original tool. It processes hundreds of articles daily, evaluates each one for direction and magnitude, layers the results against current context and historical baselines, and surfaces the most significant stories as a ranked feed of narratives.
It is early. The platform is useful now, and it will become considerably more so. The roadmap is long and the next improvements are already in progress — see the Vision page for where this is heading.
It is free to use. It will stay free. The goal was to build something genuinely useful for people who trade cryptocurrency and don't have time to read everything. That goal hasn't changed.
Get in touch
Have you faced this problem too?
If you have ideas for what the platform should do next, I'd like to hear from you.