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ResearchMaster AI
Market research for product decisions you can verify.
ResearchMaster turns a product, company, URL, file, or market question into a structured research workspace. It searches across professional sources, keeps claims linked to evidence, highlights source conflicts where possible, and turns the findings into export-ready reports and slides for product, competitor, market, and feasibility decisions.
Hey Product Hunt 👋 I'm Lily, co-founder of ResearchMaster AI.
We built this because we kept running into the same problem in our own work.
AI chat tools are great for quick answers, rewriting, and short summaries. But when the question affects a product decision, competitor analysis, market entry, investment memo, or feasibility study, a quick answer usually is not enough.
We still had to collect more sources, compare conflicting information, rebuild the structure, check which claims were actually supported, and then turn everything into a report or slides.
ResearchMaster AI is built for that workflow.
You can start with a product, company, URL, file, or a plain market question. The system turns it into a research plan, searches across professional sources, cross-checks key points where possible, and keeps the evidence attached to the findings.
The output is not just a chat response. It becomes a research workspace with reports, insights, Q&A, slides, and exports you can review or share with a team.
The main use cases we are focusing on are:
Product and competitor research
Industry and market research
Investment and feasibility research
Market entry and launch decisions
Internal research that needs sources people can review later
We care about three things in particular:
Simple input — you shouldn't need to write a perfect prompt or already know the research framework.
A usable report — The report should be clear enough to edit, present, and share.
Checkable conclusions — Key claims should point back to sources, and uncertainty or source conflicts should not be hidden.
What I've learned building this is that answers are cheap now - every AI tool can give you one. What's still hard is turning that answer into something you'd actually hand to your team or your investor. That's the gap we're closing. 🎯
About ResearchMaster AI on Product Hunt
“Market research for product decisions you can verify.”
ResearchMaster AI was submitted on Product Hunt and earned 8 upvotes and 4 comments, placing #19 on the daily leaderboard. ResearchMaster turns a product, company, URL, file, or market question into a structured research workspace. It searches across professional sources, keeps claims linked to evidence, highlights source conflicts where possible, and turns the findings into export-ready reports and slides for product, competitor, market, and feasibility decisions.
On the analytics side, ResearchMaster AI competes within User Experience, Artificial Intelligence and Search — topics that collectively have 861.7k followers on Product Hunt. The dashboard above tracks how ResearchMaster AI performed against the three products that launched closest to it on the same day.
Who hunted ResearchMaster AI?
ResearchMaster AI was hunted by Kate Ramakaieva. 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.
For a complete overview of ResearchMaster AI including community comment highlights and product details, visit the product overview.
Kate Ramakaieva
Hey Product Hunt 👋 I'm Lily, co-founder of ResearchMaster AI.
We built this because we kept running into the same problem in our own work.
AI chat tools are great for quick answers, rewriting, and short summaries. But when the question affects a product decision, competitor analysis, market entry, investment memo, or feasibility study, a quick answer usually is not enough.
We still had to collect more sources, compare conflicting information, rebuild the structure, check which claims were actually supported, and then turn everything into a report or slides.
ResearchMaster AI is built for that workflow.
You can start with a product, company, URL, file, or a plain market question. The system turns it into a research plan, searches across professional sources, cross-checks key points where possible, and keeps the evidence attached to the findings.
The output is not just a chat response. It becomes a research workspace with reports, insights, Q&A, slides, and exports you can review or share with a team.
The main use cases we are focusing on are:
Product and competitor research
Industry and market research
Investment and feasibility research
Market entry and launch decisions
Internal research that needs sources people can review later
We care about three things in particular:
Simple input — you shouldn't need to write a perfect prompt or already know the research framework.
A usable report — The report should be clear enough to edit, present, and share.
Checkable conclusions — Key claims should point back to sources, and uncertainty or source conflicts should not be hidden.
What I've learned building this is that answers are cheap now - every AI tool can give you one. What's still hard is turning that answer into something you'd actually hand to your team or your investor. That's the gap we're closing. 🎯