Search engine for pain points.

Betting on a wrong business idea can be one of the costliest mistakes for any enterpreneur.

Search 1+ million mentions of pain points and get inspired for your next great business idea or improve your current product/service.
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Focus on customer problems to get better results

Work backwards from clients pain points
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Starting with the customer needs/pain points and working backwards to the product is at the core of what the most successul companies do (at Amazon it is one of their core principles).
This desire for a tool which would give us pain points of real people has led to creation of our platform.

1+ million pain points mentions from 12+ billion webpages

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To build the most comprehensive search engine for pain points we have checked the content of over 12+ billion webpages and found 1+ million mentions of pain points. And we are not resting - each day we check millions of new webpages for mentions of new pain points and add thousands of new pain points per day.

1+ million pain points mentions from 12+ billion webpages

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To build the most comprehensive search engine for pain points we have checked the content of over 12+ billion webpages and found 1+ million mentions of pain points. And we are not resting - each day we check millions of new webpages for mentions of new pain points and add thousands of new pain points per day.

Find great business idea or improve your product

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Our platform can be used for variety of purposes - builders of websites and platforms can find their next great business idea. Accelerators and incubators can use it to generate ideas for their participants. Established companies can discover pain points mentioned by customers of their existing products/services.
Categorization of Pain Points using API for URL classification
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For easier searching of pain points we are using this API for URL classification to classify pain points in specific categories. This allows us for easier category based searching of pain points, so you can see all pain points in the category of e.g. Apparel & Accessories and more detailed ones, e.g. Sunglasses. API for URL classification service is highly accurate and supports many different categories, which allows us to set up better searchability and easier filtering of pain points results. There is also a python client library for website classification API. . If you are looking for millions of already classified domains, you can find the packages for npm URL Database, npmirror URL Database and yarnpkg URL Database.
Categorization of Pain Points using OCR API
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For identification of pain points in printed documents, we have decided to use OCR engine that extracts text from images and other formats, using AI. By using OCR service for this purpose, we will be able to show many more additional pain points through their identification in otherwise non-digital documents.
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