Ask HN: Most interesting tech you built for just yourself?
Smart RSS reader that,  right now,  ingests about 1000 articles a day and picks out 300 for me to skim.  Since I helped write this paper<p><a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;cs&#x2F;0312018" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;cs&#x2F;0312018</a><p>I was always asking &quot;Why is RSS failing?  Why do failing RSS readers keep using the same failing interface that keeps failing?&quot; and thought that text classification was ready in 2004 for content-based recommendation,  then I wrote<p><a href="https:&#x2F;&#x2F;ontology2.com&#x2F;essays&#x2F;ClassifyingHackerNewsArticles&#x2F;" rel="nofollow">https:&#x2F;&#x2F;ontology2.com&#x2F;essays&#x2F;ClassifyingHackerNewsArticles&#x2F;</a><p>a few years ago,  after Twitter went south I felt like I had to do something,  so I did.  Even though my old logistic regression classifier works well,  I have one based on MiniLM that outperforms it,  and the same embedding makes short work of classification be it &quot;cluster together articles about Ukraine,  sports, deep learning, etc.&quot; over the last four months or &quot;cluster together the four articles written about the same event in the last four days&quot;.<p>I am looking towards applying it to: images, sorting 5000+ search results on a topic, workflow systems (would this article be interesting to my wife, my son, hacker news?), and commercially interesting problems (is this person a good sales prospect?)