Hacker News: narenst

New comment by narenst in "Alberta startup sells no-tech tractors for half price"

narenst — Wed, 22 Apr 2026 17:50:44 +0000

Can you share more about your hobby farm? I would love to learn more about how you got into that? My family had a small farm growing up and my parents are still actively working on the farm everyday and I would like to take that up at some point. So curious to hear what you farm and how much involved you are in the process.

New comment by narenst in "Tech firms must tame toxic algorithms to protect children online"

narenst — Wed, 08 May 2024 16:50:24 +0000

Children at school use a screen for school work starting in middle school (and sometimes even in elementary school). It is very difficult for parents or teachers to always supervise this. I think the adults should educate the children of safe online behavior but like other real world experiences they need have the independence when being online too.

Indian actor wins court battle over AI use of his likeness

narenst — Fri, 22 Sep 2023 03:47:37 +0000

Article URL: https://www.theguardian.com/film/2023/sep/21/indian-actor-anil-kapoor-wins-court-battle-over-ai-use-of-his-likeness

Comments URL: https://news.ycombinator.com/item?id=37607603

Points: 4

# Comments: 0

New comment by narenst in "iPhone 15 and iPhone 15 Plus"

narenst — Tue, 12 Sep 2023 22:10:58 +0000

How does the camera on these new phones with mirrorless cameras at less than $1000 price point?

Dedicated cameras have around 20 Megapixels but much larger sensor size - but does it really matter if the most I would do is print them into a photobook?

Poor Charlie's Almanac by Stripe Press

narenst — Sun, 02 Jul 2023 06:38:48 +0000

Article URL: https://www.stripe.press/poor-charlies-almanack

Comments URL: https://news.ycombinator.com/item?id=36558886

Points: 3

# Comments: 0

New comment by narenst in "Ask HN: Who is hiring? (August 2022)"

narenst — Mon, 01 Aug 2022 19:04:38 +0000

StitchFix | Senior Data Platform Engineer | Remote (US) | Full Time | https://www.stitchfix.com/careers/jobs?gh_jid=4143150&gh_jid... At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience.

The Platform team at Stitch Fix is a highly impactful group of engineers who develop some of the most mission critical infrastructure in the company. The team owns our API strategy, execution as well as systems and platforms to help unlock critical algorithmic capabilities. In addition we also invest in high-leverage, self-service platforms and tools to facilitate scalable research & development for our data scientists.

We are looking for engineers with strong experience in building out scalable distributed and production systems. You will be building new platform services, tools and infrastructure for delivering algorithmic models to production. You will collaborate and partner with different functions within Stitch Fix - Data Science, Product, Engineering and other platform teams.

If this sounds interesting, please learn more and apply at: https://www.stitchfix.com/careers/jobs?gh_jid=4143150&gh_jid... or reach out via email: naren.thiagarajan stitchfix.com

New comment by narenst in "Ask HN: Who is hiring? (July 2022)"

narenst — Wed, 06 Jul 2022 19:19:06 +0000

StitchFix | Senior Data Platform Engineer | Remote (US) | Full Time | https://www.stitchfix.com/careers/jobs?gh_jid=4143150&gh_jid...

At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience.

If this sounds interesting, please learn more and apply at: https://www.stitchfix.com/careers/jobs?gh_jid=4143150&gh_jid... or reach out via email: naren.thiagarajan stitchfix.com

New comment by narenst in "Ask HN: Who is hiring? (June 2022)"

narenst — Thu, 02 Jun 2022 23:31:41 +0000

StitchFix | Senior Data Platform Engineer | Remote (US) | Full Time | https://www.stitchfix.com/careers/jobs?gh_jid=4143150&gh_jid...

If this sounds interesting, please learn more and apply at: https://www.stitchfix.com/careers/jobs?gh_jid=4143150&gh_jid... or reach out via email: naren.thiagarajan stitchfix.com

New comment by narenst in "Tsundoku: The art of buying books and never reading them"

narenst — Thu, 17 Dec 2020 01:58:18 +0000

I have a toddler at home. I purchased a kindle a few months ago and it has drastically increased my reading time. I try to carry the kindle around the house instead of my phone. And read whenever I can - 15 to 30 mins chunks. I also read in bed before going to sleep and the backlit kindle is great for that.

Also I have been renting kindle books from my library. Very easy to try books and continue reading only if I find it interesting!

The Great Exhibition of 1851 (London)

narenst — Sat, 16 May 2020 17:09:00 +0000

Article URL: https://en.wikipedia.org/wiki/Great_Exhibition

Comments URL: https://news.ycombinator.com/item?id=23205182

Points: 2

# Comments: 0

Covid19 Clusters in India

narenst — Tue, 31 Mar 2020 10:17:16 +0000

Article URL: https://www.covid19india.org/clusters

Comments URL: https://news.ycombinator.com/item?id=22736278

Points: 1

# Comments: 0

New comment by narenst in "Show HN: Screenshots in Chrome, Globally Available"

narenst — Sat, 14 Mar 2020 07:48:46 +0000

I have been using CloudApp for similar use case. It’s pretty good for screenshot sharing with annotations.

https://www.getcloudapp.com/

New comment by narenst in "AWS Cost Optimization for ML Infrastructure – EC2 Spend"

narenst — Thu, 13 Feb 2020 18:52:14 +0000

Author here. We have been building ML infra for FloydHub for over 3 years now and learned a ton. It is not easy as we thought it was! We are open sourcing our learning in a blog series - hoping it will be useful for companies who build their own ML infrastructure.

This article focuses on how to use EC2 effectively and save overall cost for ML infra. There are a lot of low-hanging-fruit opportunities that most companies we work with don't adopt. Anything else I missed?

New comment by narenst in "Browse good first issues to start contributing to open source"

narenst — Wed, 22 Jan 2020 22:16:14 +0000

> As the first deep-learning-enabled product to launch on Github.com, this feature required careful design to ensure that the infrastructure would generalize to future projects.

It is surprising to see that this is the first time DL is run in production at GitHub. GitHub has a large amount of fairly structured data in the form of code, issues, etc. Plus they have been dabbling with DL for more than two years [1].

It could be that the business problems that are critical to the growth of GitHub product may not need DL. Solving problems like best-first-issues, code search are useful to the end user but may not effectively grow the business metrics.

[1] https://github.blog/2018-09-18-towards-natural-language-sema...

New comment by narenst in "My story as a self-taught AI researcher"

narenst — Mon, 20 Jan 2020 19:13:33 +0000

This is a really good time to be a Independent Scientist (aka Gentleman scientist) in this field because how nascent deep learning and similar techniques are. It requires a lot of trial and error and time/cost investment to bring the AI techniques to the masses.

The FAANGs are trying to hire all the top talent (including Emil who wrote the post) but I believe these independent researchers will be the one finding new opportunities to make AI useful in the real world (like colorizing b&w photos, create website code from mockups).

The biggest challenge I see for these folks is the access to high quality data. There is a reason Google is releasing so many ML models in production compared to smaller companies. Bridging the data gap requires effort from the community to build high quality open source datasets for common applications.