the1024

6 ms·

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Cloudflare Repackages Pricing(blog.cloudflare.com)
5 points by the1024 1y ago|1 comments
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by the1024 1y ago
> How does it work? We don't know! We built this to learn a little bit more. We've seen that LLMs tend to prefer user-generated content (sites such as wikipedia, reddit, etc.) and strangely even youtube. > How do marketers r
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by the1024 1y ago
We absolutely do lose information here; that's a great point. The goal for us wasn't necessarily to surface the best ranking; it was to learn how LLMs produce a given ranking and what sources it pulls in. The nugget of real intere
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by the1024 1y ago
Interesting call out - we're working on adding Gemini soon!
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by the1024 1y ago
That nuance is really important/hard to piece apart. Have you found any good techniques to solve for it?
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by the1024 1y ago
OP here - looking at what the models pick up as sources for "Trustworthy News Sources" is especially interesting. I wonder why the providers reach for such esoteric material when building an answer to a question like that, and how
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by the1024 1y ago
That's a great point - we built this moreso to learn a bit about how the AI models interpret ranking products, and less so to actually be a trusted source of recommendations. Seeing the citations come through has been really fascinatin
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Show HN: Comparing product rankings by OpenAI, Anthropic, and Perplexity(productrank.ai)
125 points by the1024 1y ago|35 comments
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So you want to break down monolith? Read that first(architecture-weekly.com)
2 points by the1024 1y ago|0 comments
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by the1024 2y ago
"kay-len" - confusing I know
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by the1024 2y ago
Thanks! You can think of Grimp as a lower-level tool for interacting with the import graph in Python, while Tach is a high-level tool responsible for 'modularity' as a whole (e.g. modules, interfaces, layers, deprecations etc.) Ta
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by the1024 2y ago
Thanks for this feedback! Here's a more structured walkthrough: https://www.loom.com/share/7c03d72ea2b54212a3509d4333f61b99?... We'll add this to the README.
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Show HN: Tach – Visualize and untangle your Python codebase(github.com)
263 points by the1024 2y ago|62 comments
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Microservices Can Wait(gauge.sh)
1 points by the1024 2y ago|0 comments
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Why Tach – The Problem with Python(docs.gauge.sh)
1 points by the1024 2y ago|0 comments
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How to visualize your Python project's dependency graph(gauge.sh)
22 points by the1024 2y ago|7 comments
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Tackling the Monolith/Microservices Dilemma at Instawork(engineering.instawork.com)
3 points by the1024 2y ago|0 comments
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The Problem with Monoliths(gauge.sh)
3 points by the1024 2y ago|2 comments
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Microservices Can Wait(gauge.sh)
4 points by the1024 2y ago|0 comments
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Should we decompose our monolith?(lethain.com)
2 points by the1024 2y ago|0 comments
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Measuring Software Modularity(ncbi.nlm.nih.gov)
2 points by the1024 2y ago|0 comments
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by the1024 2y ago
Yes, good call out - I actually wrote a bit more about this and how we arrived at our solution with `tach`. [0] https://www.gauge.sh/blog/the-trouble-with-all
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by the1024 2y ago
(author here) borplk hit this right on the head - the public/private distinction not sufficiently nuanced enough to handle the requirements of more complex codebases. To put your example in other words, I simply want baz scoped to foo.
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Show HN: Strict interfaces and dep management for Python, written in Rust(github.com)
68 points by the1024 2y ago|12 comments
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Gaggiuino – Augmenting Home Espresso(gaggiuino.github.io)
1 points by the1024 2y ago|0 comments
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Flavor Flav Wants You to Watch More Water Polo(nytimes.com)
2 points by the1024 2y ago|0 comments
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by the1024 2y ago
My experience primarily comes from scale-ups, where the companies grew fast and hired fast. Without putting specific companies on blast, I hear about this problem consistently from growth stage startups that scaled on Python. It's a co
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The Trouble with __all__(gauge.sh)
33 points by the1024 2y ago|46 comments
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by the1024 2y ago
There's a decent (if fairly biased) comparison on monorepo tooling here: https://monorepo.tools/ Note that it's written by nx.dev (TS monorepo tool), so well worth taking the specific comparisons with a large grai
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by the1024 2y ago
Bazel (originating from Blaze inside Google) is great but very heavy/takes a lot of work to adopt. It's likely the gold standard if you're working with a large polyglot repo. As a python dev, I've been frustrated with e

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