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Tired of guessing what to build next? I created RandomProblem.dev to solve this.
Here's how it works: ๐ AI analyzes Reddit discussions to find real pain points ๐ก Delivers one random, validated problem with solution ideas ๐ One-click refresh for endless inspiration
Why this matters: โข 90% of startups fail - often because they solve imaginary problems โข The best ideas come from real people complaining loudly โข Now you can tap into this signal daily
Perfect for: ๐ Solo founders looking for their next project ๐ฉ๐ป Product teams validating market needs ๐ค Developers wanting to build something useful
Try it now and see what problem you get on first refresh! Would you build the solution?
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RandomProblem.dev's answer:
Why does this exist? Because too many startups build solutions no one asked for.
I kept seeing founders (myself included) waste months on ideas that sounded cool โ but had no real demand. Meanwhile, people are screaming their problems online every day โ especially on Reddit.
RandomProblem.dev surfaces those raw, unfiltered painsโso you
Itโs the tool I wish existed when I started.
RandomProblem.dev's answer:
Solopreneurs, small teams, builders looking for what to build
RandomProblem.dev's answer:
Ease of use, hundreds of ideas from real problems posted on Reddit
RandomProblem.dev's answer:
AI (Ollama, Phi4), SvelteKit, Python, RabbitMQ
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 / 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
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
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