<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Open Source Metrics on SoloSoft</title><link>https://www.solosoft.dev/tags/open-source-metrics/</link><description>Recent content in Open Source Metrics on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 18 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/open-source-metrics/index.xml" rel="self" type="application/rss+xml"/><item><title>50,406 Stars, 16,937 Forks, 187 Watchers: Auditing the AI Job-Search Framework Where Two Privacy Leaks Were Already Filed by Real Users</title><link>https://www.solosoft.dev/post/ai-job-search-50406-stars-two-privacy-leaks-audit/</link><pubDate>Sun, 18 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/ai-job-search-50406-stars-two-privacy-leaks-audit/</guid><description>&lt;p&gt;A geophysicist loses his job in late 2025, builds a Claude Code workflow to run his own search, applies 69 times, gets 20 first interviews, signs one contract, and open-sources the machinery in March 2026. Seven months later the repository has 50,406 stars. That story is on the README, in the first screen, and it is the reason people fork it.&lt;/p&gt;
&lt;p&gt;The story that is not on the README is in the issue tracker. Between August 19 and August 28, two different users reported that this workflow had already published personal data to GitHub — once through the fork the quick start tells you to create, once through a &lt;code&gt;gh&lt;/code&gt; default-repository behaviour that files your application notes on someone else&amp;rsquo;s public tracker. I cloned the repo, ran its own checks, sampled 120 of its forks, and read both issues. What follows is what the numbers and the code actually support.&lt;/p&gt;</description></item><item><title>Context Mode Has 30,231 Stars and a 98% Claim I Reproduced Two Different Ways: An npm Package Frozen Since June 29, a Badge That Counts Downloads as Users, and the $49/Month Gateway Behind It</title><link>https://www.solosoft.dev/post/context-mode-frozen-npm-98-percent-audit/</link><pubDate>Sat, 17 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/context-mode-frozen-npm-98-percent-audit/</guid><description>&lt;p&gt;&lt;strong&gt;Context Mode&lt;/strong&gt; is the MCP plugin that promises to keep raw tool output out of your context window: 315 KB of tool output becomes 5.4 KB, a &lt;strong&gt;98% reduction&lt;/strong&gt;. It has 30,231 stars, it numbers its releases by the hundred, and its README states its philosophy in one blunt paragraph: &lt;em&gt;&amp;ldquo;Nothing leaves your machine. No telemetry, no cloud sync, no usage tracking, no account required&amp;hellip; Context optimization should happen at the source, not in a dashboard behind a per-seat subscription.&amp;rdquo;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;That is the README the 30,231 people starred. Here is the rest of the picture, all measured today rather than quoted:&lt;/p&gt;</description></item><item><title>REA Added 255,126 Stars in Eight Days: Re-Measuring GitHub's Fastest Star Curve, Where Forks Grew 43x Against Stars' 18x and 76% of the Git History Is 16 Days Old</title><link>https://www.solosoft.dev/post/rea-star-curve-eight-days-audit/</link><pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/rea-star-curve-eight-days-audit/</guid><description>&lt;p&gt;Eight days ago this site published a measured audit of REA — the MCP server that lets a coding agent reverse-engineer anything from an Electron app down to a native binary. The audit put the repository at &lt;strong&gt;15,095 stars, 44 watchers, 1,569 forks&lt;/strong&gt;, and priced a real analysis run at 209,619 tokens for eight files.&lt;/p&gt;
&lt;p&gt;On 2026-10-16, at 00:51 UTC, the same API endpoint returned &lt;strong&gt;270,221 stars, 915 watchers, 67,778 forks&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;That is &lt;strong&gt;+255,126 stars, +871 watchers and +66,209 forks in eight days&lt;/strong&gt;. Nothing else on GitHub that I have measured moves like this, so this article does the only thing worth doing with a number like that: it measures the curve against a baseline, and separates the parts that are genuinely anomalous from the parts that are just what an agent-era repository looks like in 2026.&lt;/p&gt;</description></item></channel></rss>