So you see a solution to a problem. Perhaps it's a product that you sell, a painting idea, or something completely different. But how to iteratively make it more brilliant? Inspiration comes and goes. Our methods last.

A quick and effective way to know what to read next.

Hi! We noticed how absurdly time consuming it can be to find the optimal book to read. And so decided to do something about that. Using advanced statistics (and some AI) we established an algorithm that finds what you should read next. There are two versions, the free one and the better one. The better is really a lot better, but that doesn't mean it's expensive in any way - we used a pay-what-you-can model. The better version is actually about 5x more accurate! And you get much more recommendations! Try it out, it should be very helpful to you! Actually, these things may also be enormously helpful to you if you like the idea of this product: A practical guide on generating hellishly good ideas A realistic multi-perspective guide to fresh extraordinarity Making things more brilliant, the guide. Explosive startup marketing guide.

@joe88060298 How many user do you already have?

@julia_demyanchuk Hard to say, there is a different number of users for each of our projects. And it varies widely :) Hmmm, you probably ask to propose a way to make people hear about it more, am I right? Then please share your ideas!

Cool! I was advised to read "Building a story brand" by Donald Miller BTW! this is such a great idea to expand! R u planning to do smth like this for self-development books or classic literature next read advisor?

@cn__katie Yes! But only if the idea catches on. Our thing is analyzing data and so we want to expand this idea using our proprietary statistics to other domains! For example, with this product we wanted to test if people will actually pay for it - we have to pay our bills and research is not a cheap thing :D Then we will slowly move towards more advanced things and topics that are harder to analyze

@alex_terentiev The simplest model we could think of was just to ask people questions and then give them the list of recommendations. We will test something more fancy the next time, tell us if you have any ideas :)

Making things more brilliant, the guide.

How to hack idea optimization with behavioural algorithms

How to hack idea optimization with behavioural algorithms

Making things more brilliant, the guide.

How to hack idea optimization with behavioural algorithms

How to hack idea optimization with behavioural algorithms

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Do you use Making things more brilliant, the guide.?

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