Reddit
X (Twitter)
Facebook
YouTube
Google
Quora
Instagram
Hacker News
Docking
DB Pro
Uruky
TypeQuicker
Whistle Enterprise
Saasufy
SendBroadcast.net
Pagecord
Redditi like reddit very much
Based on our record, Reddit seems to be a lot more popular than Docking. While we know about 3301 links to Reddit, we've tracked only 3 mentions of Docking. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
From urllib.parse import urlparse Def normalize_gh(r): return { "title": r["name"], "url": r["url"], "source": "github", "score": r["stars_this_period"], "desc": r.get("description", ""), "date": r["trending_date"], "lang": r.get("language"), } Def normalize_hn(p): return { "title": p["title"].replace("Show HN: ", ""), "url":... - Source: dev.to / 4 months ago
@tool Def search_reddit(keywords: str, max_results: int = 20) -> list[dict]: """Fallback: search Reddit directly via PRAW.""" reddit = praw.Reddit( client_id=os.environ["REDDIT_CLIENT_ID"], client_secret=os.environ["REDDIT_CLIENT_SECRET"], user_agent="doug-agent/1.0", ) candidates = [] for submission in reddit.subreddit("all").search(keywords, sort="new",... - Source: dev.to / 3 months ago
Import requests Import time Def fetch_subreddit_posts(subreddit, sort="hot", limit=25): url = f"https://www.reddit.com/r/{subreddit}/{sort}.json" params = { "limit": limit, "raw_json": 1, # Prevents HTML encoding in responses } headers = { "User-Agent": "PythonScraper/1.0 (research project)" } response = requests.get(url, params=params, headers=headers) if... - Source: dev.to / 5 months ago
From sessionkeeper import SessionKeeper Async with SessionKeeper("reddit") as sk: page = await sk.get_authenticated_page("https://reddit.com") # You're logged in. Do your automation. await page.goto("https://reddit.com/r/blender/submit"). - Source: dev.to / 5 months ago
It's completely free, and takes just moments to set up - you just need to create an account, and set up keywords for the service to track. When your keywords are mentioned on Reddit, Hackernews, or Lobste.rs, you'll get a tidy little email in your inbox. - Source: dev.to / over 1 year ago
I have been working on dock bar for Linux * https://docking.cc * https://github.com/edumucelli/docking It has X11 and Wayland support, pre-built packages for all major distributions, almost 60 baked in applets. For those into Linux and using a dock bar, I am sure you will like it. - Source: Hacker News / about 1 month ago
Https://github.com/edumucelli/docking https://docking.cc A Linux dockbar with tons of applets and support for x11 and Wayland. Works on Gnome and KDE. I always wanted to write one as I have been involved with several open source ones, but it is a lot of time to go from scratch. I use it everyday, and I am enjoying it so much! - Source: Hacker News / 2 months ago
Fast, customizable, and extensible dock application -- fully written in Python, with built-in applets and full Linux desktop integration. https://docking.cc. - Source: Hacker News / 3 months ago
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
DB Pro - DB Pro is the modern way to work with databases
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Uruky - Search privately and without ads using Uruky, the private search engine.
YouTube - Our mission is to give everyone a voice and show them the world.
TypeQuicker - The AI Typing Application