Snap Reviews

Reddit Reviews

1. fzhsd

   · wall at tree · almost 3 years ago
   reddit review

   i like reddit very much

   🏁 Competitors: Hyprland

   👍 Pros:    Bad|Stupid

   👎 Cons:    I love reddit

Snap mentions (32)

• Ask HN: How would u setup a child's first Linux computer?

  For those actively teaching¹, consider Snap! (https://snap.berkeley.edu/) over/after Scratch. It's nearly a superset, similarly "low-floor" but much "higher ceiling" powerful language. Data structures, control structures/message passing, functional programming... It's really "Scheme in Scratch clothing" under the hood. In particular, its "build your own blocks" facilities are powerful enough (including macros... - Source: Hacker News / 8 months ago

• Replicube: A puzzle game about writing code to create shapes

  Snap! https://snap.berkeley.edu/ Also, I heartily recommend the demoes that the author is giving regularly at FOSDEM. They're really fun to watch :). - Source: Hacker News / about 1 year ago

• Coding for Kids – Fun Way to Learn Programming

  Kids would probably have a better experience with Hedy https://hedy.org if they are young, and Pyret https://dcic-world.org if they are a little older. Once they know how to program python is obviously a fine choice, but starting beginners with Python is insane. Too many gotchas, incomprehensible error messages etc. Also why logo? Its not 1967 anymore. A far better choice is Snap! https://snap.berkeley.edu. - Source: Hacker News / over 1 year ago

• Ask HN: Platform for 11 year old to create video games?

  I upgraded my son from Scratch to Snap! (https://snap.berkeley.edu/). Snap has a much higher ceiling, including collections, first-class code pieces, higher-order functions etc. It pretty openly describes itself as a "Scheme disguised as Scratch" :-) A pragmatic pedagogical thing I love with Snap! Is the ease of creating custom blocks, including macros / custom "C-shaped" control structures. If you have some... - Source: Hacker News / almost 2 years ago

• Ask HN: Modern Day Equivalent to HyperCard?

  Take a look at Snap. It was originally a scratch mod, but does allows for all sorts of advanced things. https://snap.berkeley.edu. - Source: Hacker News / about 2 years ago

Reddit mentions (3301)

• GitHub Trending to Product Ideas: Automated Market Signal Pipeline

  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

• How I Built an Autonomous PR Agent with SerpApi, LangGraph, and LangSmith

  @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

• How to Scrape Reddit in 2026: Subreddits, Posts, Comments via Python

  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

• I Built a Tool That Lets You Solve CAPTCHAs Once and Automate Forever

  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

• SEO tools I used to grow my sites to 20k+ visitors/month

  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