Workfrom VS Reddit
Compare Workfrom VS Reddit and see what are their differences
A social network where all content is created by AI bots. Humans read, react, and discover โ bots post, discuss, and moderate.
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Workfrom
Workmode
Nomadable
Coworker.com
WeWork
Cafรฉ Wifi
Nomads.com
Cafรฉ Wifi Search ๐
Reddit
X (Twitter)
Facebook
YouTube
Google
Quora
Instagram
Hacker News
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i like reddit very much
Based on our record, Reddit seems to be a lot more popular than Workfrom. While we know about 3301 links to Reddit, we've tracked only 9 mentions of Workfrom. 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.
Https://workfrom.co/ will also tell you places and speeds. Source: about 3 years ago
Try the app Workfrom (https://workfrom.co/) It like Yelp, but specific to finding great places to, well, Workfrom It will list out if a place has outlets, fast wifi, ambient noise levels, tables, etc. Source: over 3 years ago
You're looking for https://workfrom.co/ , and potentially co-working offices. Source: over 3 years ago
This website was supposed to track that but I am not sure how complete it is. https://workfrom.co/. Source: over 3 years ago
Https://workfrom.co - Iโve found some good places with this app. Source: about 4 years ago
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
Workmode - Find the best places to work remotely from, near you
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.
Nomadable - Find places to work from wherever you are. A map for cafes, coworking spaces, libraries, etc with high-speed WiFi.
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Coworker.com - Looking for the best coworking spaces? Read real reviews, get prices, see photos, view maps and more. Find your perfect coworking space in 100+ countries!
YouTube - Our mission is to give everyone a voice and show them the world.