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Products that do what Trending Stories does

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1
Exploding Topics▲952
Find proven topics before they take off.
2019 · explodingtopics.com
2
Google Trends▲700
A new experience to explore what the world is searching 🔎📈📊
2018 · trends.google.com
3
Twitter Moments▲630
Follow along with current events
2015 · x.com
4
Trends▲146
Streamlined dashboard to keep up with social media mediums
2023
5
Top Medium Stories▲435
The top stories on Medium, updated daily 🏆
2017
6IM
I made Google Trends for Hacker News by indexing 18 years of comments▲822
Jun 2026 · hackernewstrends.com
7
Social Trends Tracker▲126
Trending stories/hashtags/etc across 9 top social networks
2024
8
Trendtracker ▲157
Discover trends that matter instantly
2025
9
ShowStop▲34
Turn social trends into viral branded content
Feb 2026
10
TrendingUP▲97
Monthly trending & latent content ideas for content creators
2021
11
TrendBar▲184
Top Medium stories sorted by claps, categories & dates 🚀
2018
12
Trend Watchers▲81
Get access to over 150 + new trends every week
2020
13
Glimpse▲430
Discover exploding trends before they take off
2018
14
Trendo▲126
Predict tomorrow's trends today & stay ahead of the curve
2023
15
Trends Everywhere▲371
The easiest way for data people to track internet trends
2020
16
TrendWidget▲112
Google&Yahoo Trends on Home screen & AI search engine
Feb 2026
17
Newsly 2.0▲216
Reads top trending news & articles in a natural human voice
2021
18WT
We track Reddit, Google trends, Twitter, etc. to find trending topics▲232
2019 · meetglimpse.com
19
Under the Radar▲172
Non-obvious trend signals for marketers and investors
2021
20
TLDR by Inside.com▲326
Quick news every time you open a new tab
2015
21
Today Tagz▲127
Discover what's trending on X and TikTok around the globe
2023
22
TrendUp▲115
Where trends are born
2023
23
Glimpse 2.0▲212
Discover trends before they’re trending + New instant alerts
2019
24RT
Real-time system that tracks how news spreads across 200k websites▲256
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/
Nov 2025 · yandori.io

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