<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: yedhukrishnan</title><link>https://news.ycombinator.com/user?id=yedhukrishnan</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 08 Oct 2026 17:47:36 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=yedhukrishnan" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by yedhukrishnan in "“Math 2.0” will need to value mathematical progress more holistically"]]></title><description><![CDATA[
<p>This is a distilled version of what people say about the tech industry in the past year or so. Replace math with any field, and the statement is still relevant.</p>
]]></description><pubDate>Thu, 08 Oct 2026 05:45:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=50002156</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=50002156</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50002156</guid></item><item><title><![CDATA[Commit description as a thinking tool]]></title><description><![CDATA[
<p>Article URL: <a href="https://yedhu.me/posts/commit-description-as-a-thinking-tool/">https://yedhu.me/posts/commit-description-as-a-thinking-tool/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49911757">https://news.ycombinator.com/item?id=49911757</a></p>
<p>Points: 131</p>
<p># Comments: 78</p>
]]></description><pubDate>Wed, 30 Sep 2026 17:18:13 +0000</pubDate><link>https://yedhu.me/posts/commit-description-as-a-thinking-tool/</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=49911757</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49911757</guid></item><item><title><![CDATA[New comment by yedhukrishnan in "How to read more books"]]></title><description><![CDATA[
<p>I love listening to Audiobooks if I've already read the book. I find it great for rereading, because even if I loose attention in between, it is okay. I know the story, but I still get to enjoy it.</p>
]]></description><pubDate>Mon, 13 Jul 2026 09:36:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=48890075</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=48890075</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48890075</guid></item><item><title><![CDATA[Behind the Scenes with Stadia’s Style Transfer ML]]></title><description><![CDATA[
<p>Article URL: <a href="https://stadia.dev/blog/behind-the-scenes-with-stadias-style-transfer-ml/">https://stadia.dev/blog/behind-the-scenes-with-stadias-style-transfer-ml/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=22072068">https://news.ycombinator.com/item?id=22072068</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 17 Jan 2020 05:11:46 +0000</pubDate><link>https://stadia.dev/blog/behind-the-scenes-with-stadias-style-transfer-ml/</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=22072068</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=22072068</guid></item><item><title><![CDATA[New comment by yedhukrishnan in "Introduction to Digital Image Processing in Python"]]></title><description><![CDATA[
<p>This is my attempt to introduce image processing to newbies through Python. I would really like to hear feedback and suggestions.</p>
]]></description><pubDate>Mon, 07 Oct 2019 13:01:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=21180233</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=21180233</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=21180233</guid></item><item><title><![CDATA[Introduction to Digital Image Processing in Python]]></title><description><![CDATA[
<p>Article URL: <a href="https://medium.com/analytics-vidhya/lessons-on-digital-image-processing-2-983d8bab98c8#606a-9ddad05217f7">https://medium.com/analytics-vidhya/lessons-on-digital-image-processing-2-983d8bab98c8#606a-9ddad05217f7</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=21180173">https://news.ycombinator.com/item?id=21180173</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Mon, 07 Oct 2019 12:55:01 +0000</pubDate><link>https://medium.com/analytics-vidhya/lessons-on-digital-image-processing-2-983d8bab98c8#606a-9ddad05217f7</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=21180173</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=21180173</guid></item><item><title><![CDATA[Introduction to Digital Image Processing in Python]]></title><description><![CDATA[
<p>Article URL: <a href="https://medium.com/@yedhukrishnan/lessons-on-digital-image-processing-2-983d8bab98c8">https://medium.com/@yedhukrishnan/lessons-on-digital-image-processing-2-983d8bab98c8</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=21105389">https://news.ycombinator.com/item?id=21105389</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 29 Sep 2019 05:59:33 +0000</pubDate><link>https://medium.com/@yedhukrishnan/lessons-on-digital-image-processing-2-983d8bab98c8</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=21105389</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=21105389</guid></item><item><title><![CDATA[Streaming-bird: CLI wrapper for node scripts to work with Unix pipes/streams]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/manishrc/streaming-bird">https://github.com/manishrc/streaming-bird</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=21105208">https://news.ycombinator.com/item?id=21105208</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 29 Sep 2019 05:06:06 +0000</pubDate><link>https://github.com/manishrc/streaming-bird</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=21105208</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=21105208</guid></item><item><title><![CDATA[Show HN: Non-deterministic turing machine in Python]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/yedhukrishnan/turing-machine/blob/master/non_deterministic.py">https://github.com/yedhukrishnan/turing-machine/blob/master/non_deterministic.py</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=17695259">https://news.ycombinator.com/item?id=17695259</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 06 Aug 2018 05:26:12 +0000</pubDate><link>https://github.com/yedhukrishnan/turing-machine/blob/master/non_deterministic.py</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=17695259</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17695259</guid></item><item><title><![CDATA[Uber, Volkswagen, Zenefits.. They all used hidden code to break the law]]></title><description><![CDATA[
<p>Article URL: <a href="https://medium.freecodecamp.org/dark-genius-how-programmers-at-uber-volkswagen-and-zenefits-helped-their-employers-break-the-law-b7a7939c6591">https://medium.freecodecamp.org/dark-genius-how-programmers-at-uber-volkswagen-and-zenefits-helped-their-employers-break-the-law-b7a7939c6591</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=16611207">https://news.ycombinator.com/item?id=16611207</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 18 Mar 2018 10:08:56 +0000</pubDate><link>https://medium.freecodecamp.org/dark-genius-how-programmers-at-uber-volkswagen-and-zenefits-helped-their-employers-break-the-law-b7a7939c6591</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=16611207</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16611207</guid></item><item><title><![CDATA[Lessons on Digital Image Processing]]></title><description><![CDATA[
<p>Article URL: <a href="https://medium.com/@yedhukrishnan/lessons-on-digital-image-processing-1-b7a1fa3acfe9">https://medium.com/@yedhukrishnan/lessons-on-digital-image-processing-1-b7a1fa3acfe9</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=16583347">https://news.ycombinator.com/item?id=16583347</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 14 Mar 2018 09:11:23 +0000</pubDate><link>https://medium.com/@yedhukrishnan/lessons-on-digital-image-processing-1-b7a1fa3acfe9</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=16583347</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16583347</guid></item><item><title><![CDATA[Baidu AI helps parents find their abducted son 27 years later]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.engadget.com/2017/05/10/baidu-ai-facial-recognition-finds-abducted-son/">https://www.engadget.com/2017/05/10/baidu-ai-facial-recognition-finds-abducted-son/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=14313746">https://news.ycombinator.com/item?id=14313746</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 11 May 2017 03:57:29 +0000</pubDate><link>https://www.engadget.com/2017/05/10/baidu-ai-facial-recognition-finds-abducted-son/</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=14313746</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=14313746</guid></item><item><title><![CDATA[This Incredible Flower Timelapse Took 3 Years and 8TB of Photos to Create]]></title><description><![CDATA[
<p>Article URL: <a href="https://petapixel.com/2017/05/09/incredible-flower-timelapse-took-3-years-8tb-photos-create/">https://petapixel.com/2017/05/09/incredible-flower-timelapse-took-3-years-8tb-photos-create/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=14305983">https://news.ycombinator.com/item?id=14305983</a></p>
<p>Points: 22</p>
<p># Comments: 1</p>
]]></description><pubDate>Wed, 10 May 2017 04:52:32 +0000</pubDate><link>https://petapixel.com/2017/05/09/incredible-flower-timelapse-took-3-years-8tb-photos-create/</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=14305983</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=14305983</guid></item><item><title><![CDATA[Machine Learning Top Articles for the Past Month]]></title><description><![CDATA[
<p>Article URL: <a href="https://medium.mybridge.co/machine-learning-top-10-articles-for-the-past-month-2f3cb815ffed#.5g7lpp44m">https://medium.mybridge.co/machine-learning-top-10-articles-for-the-past-month-2f3cb815ffed#.5g7lpp44m</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=12451018">https://news.ycombinator.com/item?id=12451018</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 08 Sep 2016 07:41:01 +0000</pubDate><link>https://medium.mybridge.co/machine-learning-top-10-articles-for-the-past-month-2f3cb815ffed#.5g7lpp44m</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=12451018</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=12451018</guid></item><item><title><![CDATA[How to Teach Computational Thinking]]></title><description><![CDATA[
<p>Article URL: <a href="https://backchannel.com/how-to-teach-computational-thinking-29e45c8a2664#.4ewe2aftm">https://backchannel.com/how-to-teach-computational-thinking-29e45c8a2664#.4ewe2aftm</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=12451013">https://news.ycombinator.com/item?id=12451013</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 08 Sep 2016 07:39:45 +0000</pubDate><link>https://backchannel.com/how-to-teach-computational-thinking-29e45c8a2664#.4ewe2aftm</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=12451013</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=12451013</guid></item><item><title><![CDATA[Show HN: We Built an Autonomous RC Car Using Neural Networks and Raspberry Pi]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/multunus/autonomous-rc-car">https://github.com/multunus/autonomous-rc-car</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=12305770">https://news.ycombinator.com/item?id=12305770</a></p>
<p>Points: 23</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 17 Aug 2016 16:15:18 +0000</pubDate><link>https://github.com/multunus/autonomous-rc-car</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=12305770</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=12305770</guid></item><item><title><![CDATA[Sierpinski Triangle in HTML and JavaScript]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/yedhukrishnan/sierpinski-triangle">https://github.com/yedhukrishnan/sierpinski-triangle</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=12253285">https://news.ycombinator.com/item?id=12253285</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 09 Aug 2016 08:27:56 +0000</pubDate><link>https://github.com/yedhukrishnan/sierpinski-triangle</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=12253285</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=12253285</guid></item><item><title><![CDATA[1B iPhones: If stacked flat they would go from Earth to ISS and back 9 times]]></title><description><![CDATA[
<p>Article URL: <a href="http://www.wolframalpha.com/input/?i=7.5mm+*+1+billion+*+(1000+m+%2F+1+km)+%2F+400+km+%2F+2">http://www.wolframalpha.com/input/?i=7.5mm+*+1+billion+*+(1000+m+%2F+1+km)+%2F+400+km+%2F+2</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=12185340">https://news.ycombinator.com/item?id=12185340</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 29 Jul 2016 06:45:37 +0000</pubDate><link>http://www.wolframalpha.com/input/?i=7.5mm+*+1+billion+*+(1000+m+%2F+1+km)+%2F+400+km+%2F+2</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=12185340</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=12185340</guid></item><item><title><![CDATA[Reprimand the culprit who breaks the builds in the jenkins CI]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/gmuraleekrishna/jenkins_punisher">https://github.com/gmuraleekrishna/jenkins_punisher</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=12178606">https://news.ycombinator.com/item?id=12178606</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 28 Jul 2016 05:55:29 +0000</pubDate><link>https://github.com/gmuraleekrishna/jenkins_punisher</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=12178606</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=12178606</guid></item><item><title><![CDATA[Consulting with startups. The “right” way]]></title><description><![CDATA[
<p>Article URL: <a href="http://www.multunus.com/blog/2016/07/consulting-startups-right-way/">http://www.multunus.com/blog/2016/07/consulting-startups-right-way/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=12127798">https://news.ycombinator.com/item?id=12127798</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 20 Jul 2016 09:41:24 +0000</pubDate><link>http://www.multunus.com/blog/2016/07/consulting-startups-right-way/</link><dc:creator>yedhukrishnan</dc:creator><comments>https://news.ycombinator.com/item?id=12127798</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=12127798</guid></item></channel></rss>