Life & fun · alternatives · 2026
24 alternatives to Correlated - Help us discover surprising correlations
Discover surprising correlations between seemingly unrelated things
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Correlated - Help us discover surprising correlations launched in 2011; newer entries below may have overtaken it.
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During the start of the year I was thinking how could I bet against certain stocks (in my case mainly Tesla) without using derivatives and the risks that come with them. After I had success betting on the oil price with a highly correlated investment fond, I came to the conclusion that negative correlations could be used to bet against the price of other assets. Unfortunately, it is not easy to find correlations between assets if you don't know which assets to compare in the first place. So I created a website where you can find the 10 highest and 10 lowest correlations of certain assets.
2022 · betagainst.fun · its alternatives →
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Exploding Topics▲949Find proven topics before they take off.
2019 · explodingtopics.com · its alternatives →
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Funny reminders that correlation does not imply causation
2014 · tylervigen.com · its alternatives →
- 5AT
This visualization of related subreddits helps you find related subreddits
2019 · anvaka.github.io · its alternatives →
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Accelerate your product-led strategy with one platform
2022 · app.getcorrelated.com · its alternatives →
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I recently found myself computing the similarity between lots of very high dimensional vectors (i.e., sentence embedding vectors from LLMs), and I wanted to try some more powerful measures of similarity/dependency than just Cosine similarity, which seems to be the default for everything nowadays because of its computational efficiency. There are many other more involved measures that can detect more subtle relationships, but the problem is that some of them are quite slow to compute, especially if you're trying to do it in Python. For my favorite measure of statistical dependency,…
2023 · github.com · its alternatives →
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Explore the random correlations in big data
2015 · tylervigen.com · its alternatives →
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Find out what's fact and what's not
2016 · soundcloud.com · its alternatives →
- 10SO
2012 · clipperhouse.github.com · its alternatives →
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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/
Nov 2025 · yandori.io · its alternatives →
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What can data tell us about how ideas flow through networks?
2016 · amazon.com · its alternatives →
- 13IC
The owner of this domain has not yet uploaded their website.
2020 · michaelnielsen.org · its alternatives →
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The NUS School of Computing is recognised among the top global universities for computer science; and exemplifies academic excellence and innovative research.
2020 · comp.nus.edu.sg · its alternatives →
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A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
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How to implement the various methods in real life settings
2016 · its alternatives →
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Variance▲91Build powerful data visualizations for the web.
2014 · variancecharts.com · its alternatives →
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Data science without the code
Jun 2026 · correlationstudio.com · its alternatives →
- 21RT
2015 · rsearch.ca · its alternatives →
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Connected▲56The Surprising Power of Our Social Networks and How They Sh…
2015 · amazon.com · its alternatives →
- 24MA
2017 · lmcinnes.github.io · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →