<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: sergeybok</title><link>https://news.ycombinator.com/user?id=sergeybok</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 07 Apr 2026 10:22:48 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=sergeybok" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by sergeybok in "Show HN: Meetrics – Track anything, correlate anything, ask your data questions"]]></title><description><![CDATA[
<p>I am something of a data scientist myself, I'd say that people who like data are my intended audience.<p>Regarding correlations I agree, I have a disclaimer that correlation is not causation in the About page / README. But it's still interesting to see correlations and you can make further investigations into whether there is a causal relation or it's a coincidence.</p>
]]></description><pubDate>Sat, 04 Apr 2026 20:48:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=47643216</link><dc:creator>sergeybok</dc:creator><comments>https://news.ycombinator.com/item?id=47643216</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47643216</guid></item><item><title><![CDATA[Show HN: Meetrics – Track anything, correlate anything, ask your data questions]]></title><description><![CDATA[
<p>I was diagnosed with cancer last year and found myself drowning in numbers — biomarkers (CEA, LDH), white blood cell counts, hemoglobin, daily pain and fatigue scores, medication logs, bowel movements (colorectal cancer), plus Apple Health data like steps, heart rate, and sleep. No app I tried could handle arbitrary metrics with real analytical tools, so I built one.
Meetrics lets you log any numeric, binary (yes/no), or discrete value with a tag, then explore it — rolling averages, 2σ outlier filtering, heatmaps, streak tracking with Bayesian probability estimates, and a Correlate tool that finds relationships between any two tags with adjustable time lag and bucket size.<p>The Correlate feature is what made it click for me. I found that my chemo side-effects peaked at an 8-day lag — not when the doctors said they would. I showed the chart to my oncologist and it changed the conversation from "I think the side-effects come later than you warned" to "here's the data."<p>Recently my CT scan showed all tumors shrinking for the first time. Digging into the data, the clearest signal is a sharp increase in daily steps over the past month — partly better weather, partly a new puppy who needed walking. Steps are a known predictor of cancer survival, and the correlation-with-lag tool made it easy to see the timing line up with my scan window.<p>There's also a premium AI Analyst tab (powered by Claude) that answers natural-language questions about your data and generates daily insight cards. It's how I pay the bills while I'm not working and fighting cancer — the core tracking and analytics are free.<p>The app is general-purpose. I use it for cancer, but it works for anything — habits, grades, mood, workouts, macro data. I wrote a separate post using it to find the 12-18 month lag between Fed rate changes and unemployment.<p>Free on iOS: <a href="https://apps.apple.com/us/app/meetrics/id6760925743">https://apps.apple.com/us/app/meetrics/id6760925743</a>
Full write-up with screenshots: <a href="https://github.com/sergeybok/meetrics-support/blob/main/BLOG/CANCER.md" rel="nofollow">https://github.com/sergeybok/meetrics-support/blob/main/BLOG...</a>
Would love feedback from the QS/data crowd here.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47634378">https://news.ycombinator.com/item?id=47634378</a></p>
<p>Points: 2</p>
<p># Comments: 2</p>
]]></description><pubDate>Sat, 04 Apr 2026 00:53:19 +0000</pubDate><link>https://github.com/sergeybok/meetrics-support/blob/main/BLOG/CANCER.md</link><dc:creator>sergeybok</dc:creator><comments>https://news.ycombinator.com/item?id=47634378</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47634378</guid></item><item><title><![CDATA[New comment by sergeybok in "Soft-landings: Replicating decades of Macro-Econ on your phone"]]></title><description><![CDATA[
<p>Hi all, I built this app (called Meetrics) to help me track my personal health data. I was diagnosed with colon cancer and have been on medical leave so lots of free time, and recently I read that survivors are usually people who get very involved in their treatment which pushed me to build this app and start logging everything like a maniac and doing data science on my health data.<p>However there is not enough data yet from the cancer to write an interesting blog post (I plan on writing one on how I use it for cancer in a month or so once I have more data). That's why I wrote this economics blog post with the help of Claude. It walks you through how to use the app and it's actually quite interesting if you're interested in macro-econ like me. The app is targeted for people who like data, dashboards, and metrics; and who want to have an easy way to run experiments on their own personal data (e.g. Thompson sampling is implemented for binary data).<p>There is also a premium subscription where you get an AI Analyst (powered by Claude) that has access to your (anonymized) data. But the app is very useful without the Analyst too, especially if you are into playing around and exploring data.</p>
]]></description><pubDate>Sun, 29 Mar 2026 19:09:28 +0000</pubDate><link>https://news.ycombinator.com/item?id=47566161</link><dc:creator>sergeybok</dc:creator><comments>https://news.ycombinator.com/item?id=47566161</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47566161</guid></item><item><title><![CDATA[Soft-landings: Replicating decades of Macro-Econ on your phone]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/sergeybok/meetrics-support/blob/main/BLOG/WALKTHRU.md">https://github.com/sergeybok/meetrics-support/blob/main/BLOG/WALKTHRU.md</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47566160">https://news.ycombinator.com/item?id=47566160</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Sun, 29 Mar 2026 19:09:28 +0000</pubDate><link>https://github.com/sergeybok/meetrics-support/blob/main/BLOG/WALKTHRU.md</link><dc:creator>sergeybok</dc:creator><comments>https://news.ycombinator.com/item?id=47566160</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47566160</guid></item></channel></rss>