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Slicer Website Audit Audit entire websites and recorded user flows in one pass, instead of reviewing page by page. Slicer automatically surfaces UI/UX patterns and issues across a whole product, saving teams hours of manual review. From any audit, extract the components behind the patterns you find and turn them directly into buildable code or prompts - so insights don't just sit in a report, they become shippable work.
Slicer Components Copy Extract any live component from any website - including its styles, interactions, animations, states, and responsive behavior - and turn it into clean React code or an AI-ready prompt. No more screenshotting or manually recreating UI from scratch. Remix components on the Canvas before exporting, so what you extract is ready to build with immediately.
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Slicer audits entire websites and recorded user flows, giving teams a structured way to evaluate UI and UX across a whole product rather than page by page. On top of that, it can extract any individual component it finds into a ready-to-use AI prompt or React code, so insights from an audit turn directly into buildable output.
Slicer.dev's answer
Most tools only do one half of the job - either auditing a site's UX or helping you copy a component. Slicer does both: it audits full websites and recorded flows to surface UI/UX issues and patterns at scale, then lets you extract any component from that audit straight into an AI prompt or React code. That combination means audit findings don't just sit in a report - they become usable output immediately.
Slicer.dev's answer
Anyone from individuals to companies with in-house design/AI experts who need to audit their own, customers or competitors' websites and user flows, along with product designers and frontend developers who use Slicer's component extraction to act on what those audits find.
Slicer.dev's answer
Slicer began around the idea that auditing websites and user flows shouldn't be a purely manual, report-based exercise. It grew into a platform that lets teams systematically review entire sites or recorded flows, with the ability to extract any specific UI component discovered along the way into an AI prompt or React code - turning audit work directly into action.
Slicer.dev's answer
Slicer is built as a Chrome extension that inspects and audits live websites and recorded user flows, using web technologies to analyze DOM/UI structure and convert findings into structured outputs like AI prompts or React code.
Slicer.dev's answer
Well-known Lithuanian tech businesses
i like reddit very much
Based on our record, Reddit seems to be more popular. It has been mentiond 3301 times since March 2021. 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.
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 / 6 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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