andes314

5 ms·

31.
Show HN: Texture: Chat with Any API(usetexture.com)
4 points by andes314 1y ago|1 comments
32.
Show HN: Chat with Reddit(usetexture.com)
1 points by andes314 1y ago|0 comments
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Texture – No-Code API-to-MCP(usetexture.com)
1 points by andes314 1y ago|1 comments
34.
by andes314 1y ago
I am releasing this tool, if you have feedback please include it below. I will be writing a write-up about this tool if it gets enough usage. This tool creates MCP Servers from APIs in a no-code fashion, and hosts them for you. Kinda like a
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Show HN: Texture: Create an MCP Server from Any API(usetexture.com)
2 points by andes314 1y ago|0 comments
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Open-Source MCP Chat That Just Works(mcp.scira.ai)
1 points by andes314 1y ago|0 comments
37.
Workers AI LLM Playground(playground.ai.cloudflare.com)
3 points by andes314 1y ago|1 comments
38.
by andes314 1y ago
Found a tool that actually allows you to use MCP servers easily. Go Cloudflare.
39.
Making a Crouton Server(rlafuente.com)
1 points by andes314 1y ago|1 comments
40.
by andes314 1y ago
[Excerpt from Article] This is a small project that packages a Flask app in Docker and deploys it using Docker Compose. It runs a server that returns `"crouton!"`, the current time, and a visitor count that persists across restart
41.
by andes314 2y ago
Radix sort??
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by andes314 2y ago
That's awesome! Yes, not being able to place fractional cent costs makes the problem unique relative to other markets. I will give this a shot! And if you would be willing to collaborate, please shoot me an email.
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by andes314 2y ago
This is a great question! Yes, for a very specific subset of problems--those where you need total recall. HNSW-based algorithms typically only compare against a subset of the whole collection in order to achieve much faster results than lin
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by andes314 2y ago
The radix selection algorithm is a modified radix sort that, since we don't care to sort the whole list but rather just the top K results, manages to cut some of the time out of the algorihm. It was an awesome way to get experience in
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by andes314 2y ago
You treat a single side (yes or no) as a contract and do it as you would any other security. The difference here is you can hold “negative” stock which is stock in the opposite side. To reduce inventory risk you adjust your willingness to s
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by andes314 2y ago
Not as big as other markets, but growing fast!
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by andes314 2y ago
I gave it some cash but in the end, with my risk configuration, it wasn't 'exciting' enough because orders don't really get taken very frequently. I think You'd have to deploy much more cash than I did (> $1000)
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by andes314 2y ago
This was an experiment to both 1) learn how market making works and 2) figure out what is so hard about it. My main insight from this process is that order management--making sure only the orders you want are placed, and fast, is a pretty c
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Syndeo: Secure, Portable Ray Clusters(rlafuente.com)
1 points by andes314 2y ago|1 comments
50.
by andes314 2y ago
High-performance computing (HPC) remains a critical enabler of modern AI research, yet the divergence between cloud-based and on-premises infrastructure has created a challenge for researchers and engineers. On one hand, cloud computing off
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Show HN: A GPU-accelerated binary vector index(rlafuente.com)
65 points by andes314 2y ago|7 comments
52.
Making Markets on Kalshi(rlafuente.com)
56 points by andes314 2y ago|26 comments
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by andes314 2y ago
I built a market making algorithm for Kalshi, an event futures exchange. The algorithm dynamically places bids and asks to capture the spread while managing inventory risk. It supports multiple strategies running in parallel, each with its
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by andes314 2y ago
A better alternative, which uses a .gitignore-like file to ignore specific files: https://github.com/rodlaf/describe
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Describe – Describe your codebase to an LLM(github.com)
2 points by andes314 2y ago|1 comments
56.
by andes314 2y ago
Describe is a CLI tool that scans a directory and generates a structured Markdown file (codebase.md). The idea is to make it easier to feed relevant codebase information into AI tools while filtering out noise. It respects a .describeignore
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Show HN: Generate Markdown Summary of Codebase for an LLM(rlafuente.com)
1 points by andes314 2y ago|0 comments
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Hungry-API: Checkout for AI Agents(tryhungryapi.com)
2 points by andes314 2y ago|1 comments
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by andes314 2y ago
Hey HN, We’re building Hungry-API, a checkout system optimized for AI agents. AI models like Operator can browse the web, but actually completing a transaction is another story. Websites aren’t designed for AI, and even something as simple
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Show HN: HungryAPI – Plaid for AI Checkout(tryhungryapi.com)
1 points by andes314 2y ago|0 comments

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