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x-thread.org is a powerful tool designed for users who want to convert X (formerly Twitter) threads into clean, readable formats such as PDFs and Markdown documents. The platform allows users to read, unroll, save, and export threads in seconds, ensuring that valuable insights from social media are preserved without the clutter of ads or sidebars. With features like one-click export to PDF, users can turn any thread into a beautifully typeset document, making it ideal for offline reading on e-readers or integration into personal knowledge management systems like Obsidian and Notion. The service also includes options for saving threads for later, extracting plain text, and providing a distraction-free reading mode. The advanced parsing engine ensures that all nested replies and media are preserved in the export, addressing common issues faced by users who rely on traditional screenshot methods. Privacy is prioritized, with no logs or conversion history stored on the servers, ensuring that user data remains confidential. The platform caters to a diverse range of users, including researchers, developers, content curators, and journalists, by providing a reliable way to archive important discussions and insights from social media. Whether for technical research, corporate case studies, or journalistic citations, x-thread.org helps users build a comprehensive library of X threads that can be accessed easily and securely.
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X-Thread's answer:
X/Twitter Thread Converter helps users build a comprehensive library of X threads, which can be accessed easily and securely, enhancing knowledge management.
X-Thread's answer:
X/Twitter Thread Converter is ideal for journalists and researchers looking to archive important discussions on social media without the clutter of ads.
X-Thread's answer:
The platform prioritizes user privacy by not storing any logs or conversion history. This ensures that all user data remains confidential while using the service.
X-Thread's answer:
With one-click export features, users can easily save and print threads, making it convenient for offline reading or integrating into personal knowledge management systems.
X-Thread's answer:
The service is free and fast, making it accessible to a wide range of users who need to convert and manage their X threads efficiently.
i like reddit very much
Based on our record, Reddit seems to be more popular. It has been mentiond 3301 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.
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 / 2 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 / 3 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
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.
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Instagram - Instagram is a mobile, desktop, and Internet-based photo-sharing application and service that allows users to share pictures and videos either publicly, or privately to pre-approved followers.
YouTube - Our mission is to give everyone a voice and show them the world.
Mastodon - Mastodon is a decentralized, open source social network. This is just one part of the network, run by the main developers of the project It is not focused on any particular niche interest - everyone is welcome!
Google - Google Search, also referred to as Google Web Search or simply Google, is a web search engine developed by Google. It is the most used search engine on the World Wide Web