Headlines Reviews

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

Headlines mentions (5)

• Working out a clickable title And Thumbnail

  This site is free and can help you in crafting your titles. The aim being to get the highest possible score. https://headlines.sharethrough.com. Source: almost 4 years ago

• 6 AI tools Help Me Write.

  Headline analyzer ( for checking the score of a headline). Source: almost 4 years ago

• How to produce a great headline?

  Https://headlines.sharethrough.com/ - has some good suggestions and helps to narrow it down but a lot of testing, learning your audience, and not clickbaitey. Source: over 4 years ago

• Episode titles

  I have a couple other tools to suggest in addition to all of these. - Headlines analyzer from Sharethrough will let you know how good your potential headline is and give some basic suggestions - Jarvis is a copywriting AI that has a "Perfect Headline" template in the cheapest plan and it can generate some fantastic headlines. I pay for this service myself and use it a ton. My link is an affiliate link, but it... Source: about 5 years ago

• I Did This as a Copy Test for a Potential Internship. Is it any good?

  Maybe you can use a headline analyzer to get nudged in the right direction for headlines. I noticed that you use bolding a lot to emphasize certain things. The more you do it, the less impact it could have. For the line,. Source: over 5 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 / 5 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 / 4 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 / 5 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 / 6 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