A website tracking subreddit's active user so you know when to post
I've tracked the top 3000 subscribed (and some subreddits that I visit frequently) subreddit's active user over time, so you know when to post to get the most feedback! I come from a nodejs background, and this is the first time coding with Go, so the structures might not be standard. But feel free to give me any feedbacks!
A website tracking subreddit's active user so you know when to post launched on March 16, 2024 with 8 votes, #1,754 of 4,270 launches that month and more than 75% of that year's launches.
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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…
Suggest Subreddit2020 · nikas.praninskas.com · ▲63Recommends you subreddits based on your subscriptions
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