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i like reddit very much
Based on our record, Reddit seems to be a lot more popular than Minted.com. While we know about 3301 links to Reddit, we've tracked only 9 mentions of Minted.com. 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 did exactly this. I used Zazzle.com to create the invite and got custom envelopes from minted.com. Source: over 3 years ago
I'm setting up my wedding website, and am trying to create our registry. I'm using minted.com for the website. Regarding the registry, my fiance and I both live in a one-bedroom apartment and have zero space for new household appliances, etc. Because of this, we're only doing a honeymoon fund for our registry, and are asking for any amount our guests are comfortable donating. Source: over 3 years ago
Can you even imagine the irritation of having to have the same conversations around domestic labor like "if you want family Christmas cards sent out, guess you better hit minted.com for the designs ... wait. Did you seriously think I was going to do it? Why?" I already did this once, why would I bother again? Source: over 3 years ago
Prints: I got a few of them (including the large one above the fireplace) from minted.com. Source: almost 4 years ago
Go to the site minted.com (one of many) and then click on holiday photo cards - that will give you an idea of what goes on in the USA during the Holidays. Source: over 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 / 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 / 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
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