Product intelligence for what to build next.
Add competing products. We analyze customer reviews, product pages, and public web research to uncover what buyers love, what they hate, and where the market leaves room for something better.
Start free · Pack researches never expire
| Attribute | Manta | Drowsy | Nodpod |
|---|---|---|---|
| Blackout | Excellent | Average | Average |
| Cooling | Weak | Weak | Average |
| Side sleeping | Weak | Weak | Weak |
| Washability | Average | Weak | Weak |
Three steps. One workspace.
Stop tab-hopping between Amazon, Reddit, and screenshots. Everything lives inside a Product Project.
Add competing products
Paste Amazon, Shopify, or other product URLs.
We gather the evidence
Analyze customer reviews, product pages, and relevant public research.
Find the gap
See shared customer problems, competitive strengths, and a recommended product direction.
Stop guessing what your next product should fix.
Every finding is grounded in real customer evidence — with AI interpretation clearly labeled.
Customers love
Themes buyers rave about.
Customers hate
Ranked pain points with mention counts.
Things that break
Reliability and quality failures.
Things customers ask for
Explicit requests, separated from AI inference.
Shared competitor weaknesses
Where the whole market falls short.
Product opportunities
Ranked white-space directions.
One product tells you what's wrong. Three tell you what's missing.
Adding multiple competitors reveals the problems the whole category is failing to solve — the ones worth building for.
Recommendations backed by customer evidence.
We separate what customers actually said from what AI interprets — and always show the sources.
One unit. One research.
A research is a full analysis of one product: its page, its customers, and the public web around it. Start free, add more when you need them.
Not sure what you need? Size it with the plan and savings calculators.
No card. Two researches to try it.
- 2 researches every month
- 1 tracked product
- 1 seat
For a small business finding its edge.
- 5 researches every month
- 5 tracked products
- 1 seat
- Top up any time with research packs
For established teams. Priority runs.
- 20 researches every month
- 20 tracked products
- 3 seats
No subscription. Pack researches never expire.
- 3 researches$29
- 10 researches$79
- 25 researches$169
- Gap reports between researched products
- Monthly tracking refreshes
- Full research history
- Report exports
- Internal document uploads
You spend a research when we go out and gather new evidence. Everything you do with evidence you already have — comparisons, opportunity maps, briefs — is free.
Straightforward answers.
What websites can I analyze?+
Amazon product pages, Shopify and DTC product pages, and most public ecommerce product URLs. Web Research covers a wider set of public sources.
How many Amazon reviews do you analyze?+
Up to approximately 500 written reviews per product, depending on availability.
What does Web Research find?+
Independent reviews, Reddit discussions, product comparisons, credible blogs and publications, and relevant YouTube review metadata where available. It is not a generic web search.
What exactly is one research?+
One full analysis of one product: its product page, its customer reviews, and the public web discussion around it. It is charged once, when the research completes.
What is free after that?+
Everything you do with research you already ran: gap reports between products, monthly tracking refreshes, exports, and your full research history.
Do unused researches expire?+
Monthly plan researches reset each billing period. Researches bought in a pack never expire.
Can I compare multiple products?+
Yes — a Product Project can hold several competing products, and analysis gets sharper the more you add.
Does this tell me whether a product will succeed?+
No. This is directional product intelligence, not a market or profitability guarantee.
Where does the research come from?+
Customer reviews on marketplaces, product website content, and public web sources. All sources are shown in your project.
How does AI use the research?+
AI helps summarize themes and highlight opportunities — but AI interpretation is always clearly separated from what customers actually said.