Pain Point Engine is built for one job: turning public internet frustration into ranked, validated business opportunities.
Every search simultaneously queries Reddit (18 industry subreddit lists), Hacker News, Stack Overflow, GitHub Issues, G2/Capterra reviews, Upwork job postings, DuckDuckGo web results, and Google Trends — all in one request.
Why this matters: Pain that shows up on multiple platforms simultaneously is validated pain. One platform complaining is noise. Three platforms complaining is a market gap.
Every post is classified by our LLM into: Market Gap, Feature Request, Complaint, or Noise. Non-noise results get a severity score (1-10), the software being complained about, a one-sentence problem statement, and a proposed solution product idea.
Why this matters: Reading 200 Reddit posts is work. Getting a ranked, scored summary is intelligence.
For every validated pain point the AI generates a proposed product solution — including what it would be, who it would serve, and an estimated price point based on the severity and market context.
Why this matters: You don't just need to know the problem exists. You need a starting point for the solution.
Upwork job postings are the ultimate validation signal. When people are paying someone to manually solve a problem, that's proof of willingness to pay. Pain Point Engine surfaces these jobs alongside the complaints that explain why they exist.
Why this matters: "People are complaining" is an idea. "People are paying money to solve this manually" is a business.
Target your search with curated subreddit lists built for each industry: SaaS, DevTools, FinTech, HealthTech, EdTech, eCommerce, Marketing, HR, Legal, Real Estate, and more. Each category has 8-10 hand-selected subreddits.
Why this matters: "software" returns 50,000 results. "devtools" returns 500 relevant ones.
Every search can be saved as a formatted Markdown report with dark theme styling — fully renderable in Notion, Obsidian, GitHub, or any Markdown viewer. Reports include all source links, scores, and proposed solutions.
Why this matters: Research that lives only in a browser tab disappears. Reports you can save, share, and reference are an asset.
What each source finds and why it matters
The richest source of authentic user frustration on the internet. Pain Point Engine targets 18 industry-specific subreddit lists — not just r/all — for highly relevant complaints and feature requests from actual users of specific software.
Technical pain points from builders and developers. HN discussions surface developer tooling gaps, infrastructure frustrations, and B2B software complaints that don't always make it to Reddit.
Unanswered questions and workaround threads reveal where existing tools fail developers. A question with 50k views and no accepted answer is a market gap in plain sight.
Feature requests with real engagement scores. A GitHub issue with 400 thumbs-ups and no response from maintainers is a feature the market wants that no one has built yet.
1 and 2-star reviews from paying B2B customers. These are the most commercially valuable pain points — people who have already spent money trying to solve a problem and are still frustrated.
The ultimate validation signal. People posting Upwork jobs to manually solve a recurring problem have already proven willingness to pay. If there are 40 monthly Upwork jobs for "Notion-Calendar sync" — there's a product waiting to be built.
Forum posts, blog complaints, and community discussions that don't live on major platforms. Catches frustrations in niche communities and industry-specific forums.
Rising search queries signal emerging demand before it peaks. Catching a pain point trend at +80% growth gives you a 6-12 month head start before the market becomes crowded.
How people actually use Pain Point Engine
Search your target market before building. If the pain you're solving doesn't surface across multiple platforms with high severity scores, reconsider. If it surfaces everywhere with Upwork validation — ship it.
Search your own product name and competitors. Show stakeholders evidence-backed data on what users are actually asking for, not just what the loudest internal voice wants to build next.
Search a competitor's name and read their G2 reviews and Reddit complaints through Pain Point Engine. Find the gaps in their product that their users are begging for and build those features first.
Consultants and agencies: run a search, download the report, brand it and present it to clients. Research that looks like weeks of work delivered in an afternoon.
Start with 3 free searches. No credit card required.
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