Life & fun · December 19, 2016
Subreddit classifier using scikit-learn and a high-performance Go proxy
Subreddit classifier using scikit-learn and a high-performance Go proxy launched on December 19, 2016 with 170 votes, #177 of 3,449 launches that month and more than 95% of that year's launches.
In plain words
This tool classifies Reddit posts into subreddits using machine learning with scikit-learn and a high-performance Go proxy server. It's designed for developers and researchers who need to automatically categorize Reddit content. The system combines Python's scikit-learn library for text classification with a Go-based backend for efficient request handling, making it suitable for processing large volumes of Reddit data.
written from the facts on this page · September 2026
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Subreddit Finder - Trained on 4M Reddit Posts from 4K Subreddits2020 · valohai.com · ▲152We built Valohai LLM for tracking and comparing LLM evaluation results. Whether your evals live in notebooks and spreadsheets, or you're using an observability tool that wasn't built for comparison, this gives you a purpose-built eval comparison dashboard. Run evals with a Python library (pip install valohai-llm), results stream in, and you can compare up to 6 configurations side by side. Group by any dimension (model, category, difficulty) to see where each model excels. It doesn't do tracing or production observability, for now just eval tracking and comparison. What's cool is that you can…
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