Universal-3 Pro by AssemblyAI — Speech-to-text that finally understands context
Speech-to-text that finally understands context
Promoted
This is cool. I wonder, are there any books that come up time and time again? It'd be great to have an at a glance stat here, "this book has been recommended 5 times". Then being able to sort the books by number of times its been recommended.
Great work though 🙌
@fredrivett Thanks Fred! Yeah it'd be super cool to have some more filtering & sorting functionality built in -- I'd love to see that too. Pretty sure "How to win friends and influence people" would be a winner there ;)
@_mark0@mr_ed Good shout. I've read HTWFAIP but not Seneca, looks like I'll be adding that to my list then! Cheers guys 🙌
Report
@mr_ed@fredrivett I started figuring this out (with a friend) over the past 2 weeks. Since you are further along, would love to share what I built.
Here is the data in an excel sheet (podcast and book recommendations) for anyone who is interested: http://bit.ly/2bJtaQz
Here is the python script I was experimenting with to extract data in to a CSV: http://bit.ly/2bCI2Oz
Seems like the most recommended books (after cleaning the data for duplicates, etc.) are as follows:
Book (Count)
Black-Swan-Improbable-Robustness-Fragility (8)
Antifragile-Things-That-Disorder-Incerto (7)
Stumbling-Happiness-Daniel-Gilbert (7)
Atlas-Shrugged-Ayn-Rand (6)
Fooled-Randomness-Hidden-Markets-Incerto (6)
Lying-Sam-Harris (5)
Surely-Feynman-Adventures-Curious-Character (5)
The-Psychedelic-Explorers-Guide-Therapeutic (5)
Hope this helps you build on your idea. Would love to see filtering options based on genre, ratings, etc. and who has recommended the book (based on podcast guest).
Pitch
Four Hour Book Club
InnerTrends
Pitch
Hustle X
Engage App
Money View