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Thoughts?!! 



SyncFab was rated a 97% based on machine learning algorithm developed at NYU.

They've analyzed over 6,000 startup founders based on their educational background, work history, startup experience and personality (deduced using AI from analyzing their digital footprint).

Other ICO ratings are: Mobius (84%), MedCredit (41%), The Credit Protocol (84%).

Source:
1. https://blog.aingel.ai/icos-scoring-series-october-16-23-2017-edd70043d2b3 (https://blog.aingel.ai/icos-scoring-series-october-16-23-2017-edd70043d2b3)
2. https://blog.aingel.ai/icos-scoring-series-october-1-7-2017-571141713c19 (https://blog.aingel.ai/icos-scoring-series-october-1-7-2017-571141713c19)

SyncFab: https://blockchain.syncfab.com (https://blockchain.syncfab.com)

Perhaps the project is really good and worth paying attention, but it should be in another section

It was an interesting read but unless they have predicted with accuracy the precious successful icos and they put money behind those proclamations and they are swimming in money I do not see how their claims hold any water, I could create a post that says that I’m using some super science to predict what ico is going to be successful and that does not mean anything, so take those predictions with a grain of salt.

Well this ranking/rating system looks very interesting.
The only thing is I couldn't find much info about how the AI is generating the ranking.
It says:" They've analyzed over 6,000 startup founders based on their educational background, work history, startup experience and personality"
So apparently it is a ranking based only on the team?

I think that Cindicator project is much better to make forecasts of social events such as ICO's or price behaviour just because it based on machine learning + crowd opinion.

That is cool SyncFab at 97% puts it in the league of FACEBOOK 97%, AIRBNB 97% and PINTEREST 92% WOW! I've been seeing their Telegram channel starting to grow fast from the snowballing hype https://t.me/syncfab  :o :o :o

I looked through it and I think there is lack of information about the exact procedure of this kind of analysis. I don't think AI is able to do that work on a decent level anyway. Take experience as an example. How does it define which experience is more important? By the amount of projects some team member participated in? Or maybe it even check the amount of info in google on the project to evaluate it? Even in this case it is likely to make big mistakes, because there can be a lot of negative news about the project but AI will consider it to be positive experience. I guess for today only human being can decide in what to invest on one's own risk.

If that is the case then this ranking system is leaving many other variables out that are as important in order to recognize if an ico is going to be a success, also like with any system if people begin to take it seriously then the devs of the icos are going to find a way to game the system to their benefit in order to raise their score and become more attractive to future investors.

We need projects like this. With high quality and sophisticated projects.