
CouchBase
MongoDB
Redis
ArangoDB
CouchDB
Apache Cassandra
OrientDB
Azure Cosmos DB
Reddit
X (Twitter)
Facebook
YouTube
Google
Quora
Instagram
Hacker News
CouchBaseBased on our record, Reddit seems to be a lot more popular than CouchBase. While we know about 3302 links to Reddit, we've tracked only 3 mentions of CouchBase. 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.
I used a mix of tools to build this project, each handling a different part of the process. Google ADK helps run the AI agents, Couchbase stores past Kubecon talks data and performs the vector search, and Nebius Embedding model for generating embeddings and LLM models (Example: Qwen) generates summaries and talk abstracts. - Source: dev.to / about 1 year ago
It is therefor with great satisfaction we hereby announce that we might sponsor your Open Source project with your own custom AI chatbot built on top of ChatGPT and our AI chatbot technology. To show you an example of how this might look like, consider the following chatbot we've created for CouchBase. - Source: dev.to / about 3 years ago
I think the URL is linked from https://couchbase.com/ or cloud.couchbase.com. Source: almost 5 years ago
Here, I just discovered a much larger one: https://reddit.com. - Source: Hacker News / about 15 hours 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 / 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 / 6 months ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
YouTube - Our mission is to give everyone a voice and show them the world.