Hacker News: partypete

Show HN: Engroles.com – Verified, Active SWE Listings from Recruiters

partypete — Tue, 27 Jan 2026 06:17:34 +0000

I created engroles because, as I was looking for a job as a software engineer, I realized that most of the listings out there are black holes where my application likely went to die. However, I noticed that I got an interview with almost every recruiter that reached out to my personal email advertising an actual listing. It taught me that recruiter email outreach almost always represents a real job.

And so I thought to myself, how can I help other job-seeking software engineers get access to an aggregated list of real recruiter outreach? And I came up with engroles. The idea is that as a job seeker, you forward one verified recruiter outreach that you've received to your email in the last 30 days to forward@engroles.com. Once engroles verifies that the recruiter outreach represents a real job listing, it will give you access to apply to any of the listings in the entire job board. Every listing represents a job from another user who has received verified recruiter outreach and sent it to engroles. Each one of the listings in engroles is also linked to a recruiter. When job seekers apply to a job listing, the recruiter is notified, and recruiters will reach out to the job seeker's profile.

This is an initial release. You can see a truncated view of the currently existing job listings without creating an account. Please give me any feedback that you have. Thanks for checking this out!

Comments URL: https://news.ycombinator.com/item?id=46776152

Points: 2

# Comments: 0

Ask HN: Mathematics Version of "The Missing Semester of Your CS Education?"

partypete — Sat, 01 Nov 2025 20:41:02 +0000

I really enjoyed the "Missing Semester" MIT course for computer science. Has anyone come across a similar sort of course for mathematics?

Comments URL: https://news.ycombinator.com/item?id=45785134

Points: 3

# Comments: 0

New comment by partypete in "What happens when housing prices go down?"

partypete — Mon, 21 Jul 2025 14:02:38 +0000

The idea that a home loan is risk-free ignores decades of recent history. A quick google search for "2008 GFC" will bring you up to speed.

Given that home loans are not, in fact, risk-free, how do you expect anyone to risk the large up front cost of financing a home if they do not have any expectation of profit? The small profit that landlords make off of these investments is mostly that risk premium. As a tenant, I am not liable to the bank for hundreds of thousand of dollars if any one of hundreds of calamities outside of my control were to occur rendering my home worthless. In exchange for this relative lack of risk, I gladly pay the 2% premium to my landlord. This is not to mention the benefit of mobility, among others.

Home loans are one of the most accessible loans in modern western civilization, so no, banks don't "always choose people who are already wealthy."

I assure you that if we were to remove the profit motive from financing the development of housing stock, there would be far less of it and home prices would certainly increase.

New comment by partypete in "I think Yann Lecun was right about LLMs (but perhaps only by accident)"

partypete — Fri, 21 Feb 2025 19:40:41 +0000

I think this is an excellent way to think about LLM's and any other software-augmented task. Appreciate you putting the time into an article. I do think your points supported by the graph of training steps vs. response length could be improved by including a graph of (response length vs. loss) or (response length vs. task performance), etc. Though # of steps correlates with model performance, this relationship weakens as # steps goes to infinity.

There was a paper not too long ago which illuminated that reasoning models will increase their response length more or less indefinitely toward solving a problem, but the return from doing so asymptotes toward zero. My apologies for missing a link.

New comment by partypete in "The Joy of Nand2Tetris"

partypete — Tue, 18 Feb 2025 15:10:51 +0000

Author here. I just used a free pdf version of the book and the legacy software package which they link to on the website. Great experience. The authors have since created a self-contained web IDE version of the book/course, but if you know the basics of working with a terminal, you'd probably prefer the software package.

The Joy of Nand2Tetris

partypete — Sat, 15 Feb 2025 06:44:40 +0000

Article URL: https://tristanrhodes.com/blog/The-Joy-of-Nand2Tetris

Comments URL: https://news.ycombinator.com/item?id=43056456

Points: 161

# Comments: 41

New comment by partypete in "Adventures in algorithmic trading on the Runescape Grand Exchange"

partypete — Sun, 27 Oct 2024 19:08:20 +0000

Keep in mind that the actual profit if the bot were not randomly choosing between each model version would be about 600k/hour. You're conflating the experimental profit, wherein each model only has access to 1/3 of the potential trades, to what the profit would be if only the best model were making trades.

Also these bots have been running for over a year almost every day without being banned.

New comment by partypete in "Adventures in algorithmic trading on the Runescape Grand Exchange"

partypete — Sat, 26 Oct 2024 12:36:02 +0000

That’s right - I retrained the model every 7 days. These experiment results are from the most recent one-week period.

New comment by partypete in "Adventures in algorithmic trading on the Runescape Grand Exchange"

partypete — Sat, 26 Oct 2024 12:32:49 +0000

The training data is composed of the bot’s previously executed trades from the last 63 days joined on the price/volume data. So the model discovers patterns in the price/volume data that have historically lead to well-performing trades. The dependent variable is gold/second generated from a historical trade.

Adventures in algorithmic trading on the Runescape Grand Exchange

partypete — Sat, 26 Oct 2024 02:23:47 +0000

Article URL: https://tristanrhodes.com/blog/Adventures-in-Algorithmic-Trading-on-the-Runescape-Grand-Exchange

Comments URL: https://news.ycombinator.com/item?id=41952006

Points: 186

# Comments: 44

New comment by partypete in "The Most Dangerous Email (to my career) I've Sent"

partypete — Fri, 30 Aug 2024 19:53:03 +0000

For what it’s worth, I am a relatively young engineer who has recently been working very closely with other engineers over the age of 55 on a daily basis. It has been one of the more enriching periods in my career so far. I often wonder if the ageism that I see so often referred to on Hackernews is more projection than reality because I consistently find it pleasant to work with individuals who have a very large body of experience to draw from. Ageism in general baffles me as one could very well ask the question: “would you rather have a carpenter with 2 years of experience working on your house, or one with 30 years of experience?” The answer seems obvious to me, and the question could easily be applied to software engineering.

New comment by partypete in "AI models collapse when trained on recursively generated data"

partypete — Wed, 24 Jul 2024 17:14:00 +0000

You may be interested in some of the foundational papers exploring game theory models similar to the Ultimatum game[1][2]. These are known as Iterated Prisoner's Dilemmas.

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[1] The Evolution of Cooperation (https://ee.stanford.edu/~hellman/Breakthrough/book/pdfs/axel...)

[2] Evolutionary Dynamics of Spatial Games (https://www.sciencedirect.com/science/article/abs/pii/016727...)

New comment by partypete in "An interview with AMD CEO Lisa Su about solving hard problems"

partypete — Mon, 17 Jun 2024 06:07:13 +0000

Came here to say this. They only just recently got an AMD GPU on MLPerf thanks to a (different company), Tinycorp by George Hotz. I guess basic ML performance is too hard a problem.