Reddit Reviews

1. fzhsd

   · wall at tree · about 3 years ago
   reddit review

   i like reddit very much

   🏁 Competitors: Hyprland

   👍 Pros:    Bad|Stupid

   👎 Cons:    I love reddit

e2b Reviews

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 / 3 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

e2b mentions (38)

• Gemma, the Epstein Files, and sandboxing cause a stir at the World's Fair

  With some fear that corporate data could be revealed by messy AI applications, sandboxing was high on the agenda, and Matt Brockman, an AI engineer at enterprise sandboxing business E2B, explained that there really wasn’t much to be frightened of. - Source: dev.to / 23 days ago

• Building an autonomous Slack agent with OpenCode

  E2B is the sandbox. It gives the agent its own computer to do work. - Source: dev.to / about 1 month ago

• EU managed sandboxes for AI agents, in private beta

  If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:. - Source: dev.to / 2 months ago

• Ask HN: Who is hiring? (May 2026)

  E2B | SF, Prague, Remote | Eng, GTM, and Operations | https://e2b.dev/ E2B is building infrastructure for AI agents, and has quickly become the open source standard for agentic workflow sandboxes. Customers include Perplexity, Groq, Manus, and more. We are experiencing explosive growth and hiring for several technical and non-technical functions as we prepare to 3x the team this year. - Distributed Systems Engineer. - Source: Hacker News / 3 months ago

• Building a Systemic Autonomy Agent: OpenClaw + Gemma 4 & TurboQuant on Raspberry Pi 4B

  Sandbox: Since we are using Gemma 4 E2B, you should ideally provide an E2B.dev API key if you want the agent to execute code in a secure, cloud-hosted sandbox. If you want it 100% local, select Local Terminal. - Source: dev.to / 3 months ago