p-s-v

6 ms·

1.
Gentrification signals are a lagging indicator of home prices, not a leading one(petervijeh.com)
2 points by p-s-v 13h ago|0 comments
2.
by p-s-v 17d ago
Now there is a valid critique , thank you
3.
by p-s-v 18d ago
the fact that i used AI to assist with creating this doesn’t detract from the value of the research
4.
I built a scanner to find a SaaS worth cloning. Its best answer was "don't."(petervijeh.com)
4 points by p-s-v 18d ago|4 comments
5.
by p-s-v 27d ago
sounds awesome
6.
Show HN: I benchmarked LLMs on predicting knife steel properties(github.com)
2 points by p-s-v 1mo ago|0 comments
7.
Show HN: Open-source ML that predicts knife steel properties from composition(github.com)
2 points by p-s-v 2mo ago|0 comments
8.
by p-s-v 7mo ago
Working on a knife steel comparison database. It lets you visually compare steels across key performance axes — edge retention, corrosion resistance, toughness, and ease of sharpening — using interactive radar charts. You can filter by use
9.
Show HN: Which chef knife steels are good? Data from 540 Reddit tread(new.knife.day)
2 points by p-s-v 7mo ago|0 comments
10.
I built a hybrid Fuzzy/LLM pipeline to rank knife steels from Reddit(new.knife.day)
1 points by p-s-v 7mo ago|1 comments
11.
by p-s-v 7mo ago
Text I built a scraping project to solve a niche domain problem: figuring out which chef knife steels are actually "good" vs. just marketing hype, based on r/chefknives archives. The core technical challenge was Entity Resolu
12.
by p-s-v 11mo ago
cool, how did you create it? whats the architecture like ?
13.
I used a hybrid NER pipeline to find the most loved chef knives on Reddit
3 points by p-s-v 11mo ago|0 comments
14.
Show HN: I scraped Reddit to find the most controversial chef knife
7 points by p-s-v 11mo ago|0 comments
15.
Show HN: Which LLM Finds Obscure Knife-Brand URLs Cheapest? (8-Model Benchmark)(new.knife.day)
2 points by p-s-v 1y ago|0 comments
16.
by p-s-v 1y ago
New Knife Day: ( https://new.knife.day/blog/knife-steel-comparisons/all ) My goal is to build the most complete wiki and social network for knife collectors, makers and consumers researching a new purchase
17.
by p-s-v 1y ago
will add, thanks
18.
by p-s-v 1y ago
yes I plan to add these
19.
by p-s-v 1y ago
amazing, thank you
20.
by p-s-v 1y ago
are you interested in steels? what do you think would be better?
21.
by p-s-v 1y ago
shrug, if you search around youll see that isnt true
22.
by p-s-v 1y ago
it writes a better summary than I can
23.
by p-s-v 1y ago
ceramic knives are great, but they are basically disposable because once they chip (they will) its incredibly difficult to sharpen them again.
24.
by p-s-v 1y ago
good idea... i could add that
25.
by p-s-v 1y ago
this data is mostly scraped from a few large knife retailers, so should be accurate.
26.
by p-s-v 1y ago
hahah oops, i did use AI to produce this hacker news post :)
27.
by p-s-v 1y ago
that is correct, edge retention, ease of sharpening and toughness usually come at a trade off to one another. A harder blade is more brittle (less tough) and keeps its edge longer... but is also more difficult to sharpen once it gets dull..
28.
by p-s-v 1y ago
thanks for sharing, i will check these out... previously was unaware of these
29.
by p-s-v 1y ago
yes, I will add this info. thanks for the feedback
30.
Show HN: I built a knife steel comparison tool(new.knife.day)
146 points by p-s-v 1y ago|84 comments

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