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Reddit
OGSi like reddit very much
Based on our record, Reddit seems to be a lot more popular than OGS. While we know about 3301 links to Reddit, we've tracked only 140 mentions of OGS. 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 / 3 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 / 4 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 / 4 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
Http://online-go.com has an interesting anti-stalling feature: If you pass several times it checks with KataGo. If KataGo is 99% sure you will win, either player can click a button to accept that result and end the game. - Source: Hacker News / 10 months ago
Https://online-go.com/ have like 21.000 active games now... - Source: Hacker News / 10 months ago
Some things that may be of interest: A site that has used neural nets to classify go moves that good players would make that weaker players (of varying ranks) would not: https://neuralnetgoproblems.com/ (code available on github) https://ai-sensei.com/challenge (behind login wall, and in future possibly a pay all) is a similar idea, but the difficulty of evaluating the position is determined by how users of the... - Source: Hacker News / 11 months ago
I like Fisher time for long multi month games on https://online-go.com/ Basically it means that I always have one spare week to think or do something else and never run out of time. For 2 days live tournaments, one minute Fisher time means that a game could last plus thatn 5 hours (300 moves -> 300 minutes) and that would make the tournament fail to complete. With a short base time plus 30 seconds Fisher time we... - Source: Hacker News / over 1 year ago
OGS is the closest thing Iโve found to lichess but itโs quite good! https://online-go.com/. - Source: Hacker News / over 2 years ago
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