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Market Pain Intelligence
AI market intelligence that decodes recurring business pain
AI engine analyzing professional marketplace demand to identify recurring business pain patterns. Our 4-stage pipeline (Capture → Decode → Cluster → Validate) transforms signals into validated intelligence: macro-trend clusters, product hypotheses, and demand metrics. For founders and product teams who need to understand what businesses actually struggle with.
Hey everyone!
I'm building Market Pain Intelligence because I was frustrated with traditional market research tools. They all focus on surface-level metrics—keywords, trends, survey data—but miss what actually matters: the real problems businesses are struggling with.
Here's the thing: companies rarely describe their core problems directly. They describe the solutions they need. "I need a developer who can integrate X with Y" doesn't tell you why they need it or what pain they're actually experiencing.
So I built an AI engine that:
1. Scrapes professional marketplace demand (real business needs, not surveys)
2. Uses LLMs to extract the underlying pain points
3. Clusters similar patterns to identify macro-trends
4. Validates everything with empirical evidence
The goal? Help founders and product teams understand what businesses actually struggle with at scale—before they build the wrong thing.
This is still early (we're in active development), but I wanted to share it with the PH community for feedback.
I'd love to hear from you:
- How do you currently validate market demand for new products?
- What would make this more useful for your workflow?
Thanks for checking it out!
Love the structured pipeline approach to turning noise into validated insights. One feature that would really help: a comparison view that overlays the pain patterns from your cluster output against publicly available funding data, so I can quickly see which validated pains already have well-funded competitors moving in versus open territory worth pursuing.
The cluster view is honestly the standout part, seeing grouped pain points across industries makes it way easier to spot where there's real demand versus just noise. Wish the validate step gave a bit more transparency into how it scores confidence, but the macro trend breakdown saved me a bunch of research time.
About Market Pain Intelligence on Product Hunt
“AI market intelligence that decodes recurring business pain”
Market Pain Intelligence was submitted on Product Hunt and earned 12 upvotes and 5 comments, placing #87 on the daily leaderboard. AI engine analyzing professional marketplace demand to identify recurring business pain patterns. Our 4-stage pipeline (Capture → Decode → Cluster → Validate) transforms signals into validated intelligence: macro-trend clusters, product hypotheses, and demand metrics. For founders and product teams who need to understand what businesses actually struggle with.
Market Pain Intelligence was featured in Analytics (172.8k followers), SaaS (43.1k followers) and Artificial Intelligence (473.7k followers) on Product Hunt. Together, these topics include over 172.7k products, making this a competitive space to launch in.
Who hunted Market Pain Intelligence?
Market Pain Intelligence was hunted by Fernando Magalhães. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Market Pain Intelligence stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Fernando Magalhães