|Name: Maxwell Kenzo Nakamura
NYU affiliation: School of Professional Studies
NYU status: Graduate
|Did you enter last year?: No
Do you have any teammates?: Yes
How many, including yourself?: 3
High Concept Statement
Using open source speech synthesis machine learning to read out loud curated editorials and articles that have been “saved for later” by users.
Most “read later” articles are never read. Long form articles are highly engaging content yet, of course, take longer to read. Commuting, driving, and other moments of ____ can be filled with things people want to read but don’t have time for.
Audiobooks and podcasts are competing for the same use cases, but distribute content different from what we would offer (audiobooks narrate books, podcasts are originally formatted for audio). The reading of articles in their original format is also another form of competition to this idea.
We will provide a simple to use app that takes articles from common read-later services and serve made-to-order audio readings of those articles to users using speech synthesis technology powered by machine learning. We will also offer curated selections of narrated articles from popular publications every day (perhaps from human-readers).
We will have a tiered subscription freemium model for users of the service. We will have paid partnerships with publications that will provide them with more distribution in a different use case of content they already produce.
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