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Our idea validation tool is powered by artificial intelligence to scientifically validate your intuitive ideas to reduce risks of business failure.



How exactly does it validate the idea behind the scenes? What data point it seeks from me as input to be able to correlate it with reliable indicators in the backend?


Thanks for the questions and they're good ones too :)

Our idea validation (idea checker) feature analyzes intuitive (hunch) ideas to check their idea uniqueness and business viability against our collections of companies and products, both active and inactive, in our database.

Both components have their sets of questions (datapoints) which we ask, such as:

- for idea uniqueness: one-sentence pitch, industry, business model type, market, and so on

- for business viability: what problem is being solved, what is the solution, who are the customers, how big is the market, and so on

So we'll analyze our users' inputs to predict their failure rate based on their idea uniqueness, competitive landscape, novelty score and so on.

Feel free to check out our solutions as we offer Freemium Plan for users to try us out: https://www.flipidea.co/

*Note: due to our real-time analysis (using text analytics), our results waiting time may take up to 1 min, which we're working to reduce the waiting time, and we're also improving its accuracy by our major release next month.




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