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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A deep learning model for estimating story points · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1609.00489/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1609.00489/feed.xml" rel="self" type="application/rss+xml" /><item><title>A deep learning model for estimating story points — mentioned by greenyouse</title><link>https://news.ycombinator.com/item?id=19239365</link><guid isPermaLink="false">urn:hackerpapers:mention:1609.00489:19239365</guid><pubDate>Sun, 24 Feb 2019 17:05:38 GMT</pubDate><description>&lt;p&gt;These might be too difficult but just for fun here are some ideas for mostly backend. Personal Music Tracker - You can get new music ideas by scraping content from a community radio station playlist like KCMP (https://www.thecurrent.org/playlist). Run it against a personal database of songs you already know and have the system send you a daily/weekly/monthly list of songs you haven&amp;#x27;t heard. It&amp;#x27;s fun to build. Phone Proxy - Set up a disposable number for yourself on Twilio that will proxy incoming calls against a whitelist of approved numbers. You could do Twilio Studio to build an IVR that…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1609.00489/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item></channel></rss>
