nowfound

Growth · March 10, 2026

15Mnts

Aggregator Meets Prediction Markets.

What it does

Not your typical news aggregator. 15Mnts gives storylines (not headlines) + key events ahead (aligned with prediction markets). Skip noise, see signal. 15mnts.com

Does the same job

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    I built a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web. It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up. Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful. Live demo: https://yandori.io/news-flow/

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    One year ago, I downloaded the news.arc code and decided that I would teach myself programming by building a better aggregator. At that time, I had some rudimentary HTML knowledge, and little FORTRAN under my belt. I knew that I wanted an aggregator that could support a wide range of submissions, and one that could scale without losing quality for the user. Hubski is what I have to show for my time and effort. The easiest way to describe Hubski is to say that it uses a commenting system akin to HN or Reddit, but uses a sharing scheme like Twitter. You have a personal feed comprised of the…

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