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LibPixel is a realtime image manipulation service for any images that are available on the internet.
LibPixel works by fetching images from an existing Image Source, processing them on the fly and responding with the modified image. You simply supply the image size or processing you want in the query string in the URL you use for the image (perhaps in an IMG tag), and LibPixel does the rest. LibPixel is designed to be fast. It is likely that the transit/download time will be far more significant than the time taken by LibPixel to process the image, so in practice processed images are delivered as fast or faster (due to caching and CDN) than the original image.
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Based on our record, Reddit seems to be more popular. It has been mentiond 3302 times since March 2021. 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.
Here, I just discovered a much larger one: https://reddit.com. - Source: Hacker News / 4 days 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 / 5 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 / 4 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 / 6 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 / 6 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.
Sirv - Dynamic image processing, hosting and rich-media for retailers and eCommerce.
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
YouTube - Our mission is to give everyone a voice and show them the world.
imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.