Discovery on Ryan Orban

Track Awesome List

me@ryanorban.com (Ryan Orban) — Thu, 20 Jan 2022 00:00:00 +0000

Summary

Track Awesome List is a service that monitors over 500 GitHub awesome lists and delivers digest updates (daily or weekly) of new additions. Awesome lists are community-maintained curated resource collections organized by topic — programming languages, frameworks, DevOps tools, research areas, etc. The service exists because awesome lists are living documents that grow continuously, and visiting them manually to check for new additions is impractical.

Hacker News Books

me@ryanorban.com (Ryan Orban) — Sun, 29 Aug 2021 00:00:00 +0000

Summary

Hacker News Books is a simple tool that scrapes Hacker News comment threads for book mentions and recommendations, then aggregates them into a ranked list. The premise: HN’s Ask HN: What are you reading? threads and other book-recommendation threads are a rich source of curated technical and intellectual reading, but that signal is buried in threaded comments and hard to aggregate across time.

The Most Mind-Blowing Patterns from Data Analysis

me@ryanorban.com (Ryan Orban) — Thu, 23 May 2013 00:00:00 +0000

Summary

This Quora thread asked data scientists and analysts to share the most surprising patterns they’d discovered through analysis — the counterintuitive findings, hidden correlations, and unexpected structure that made exploratory data analysis worthwhile. The thread collected a range of answers spanning fraud detection, social networks, epidemiology, and consumer behavior.

We Use That

me@ryanorban.com (Ryan Orban) — Thu, 09 Aug 2012 00:00:00 +0000

Summary

We Use That was a community website where tech companies and developers shared what tools, services, and products they used in their stacks. The concept: instead of finding tools through marketing or reviews, see what actual engineering teams at respected companies have adopted. The premise was that tool selection by trusted peers carries more signal than vendor claims.