StartupBot
The future has landed
And there are no hoverboards or flying cars.
Just startups. Lots of computer generated startups.

We use Hidden Markov models and other Natural language proceccing techniques to generate meaningful text for each section of the startup landing page.
Experiments has shown the amount and relevance of data which is used in generating startup text has a significant role in the quality of results. In current experiments we're using real startup submission data to train StartupBot text generation.
Previous attempts have made parodies about the randomness of startups. Our take is a little deeper, we believe the process of creating a startup can be largely automated.
Co-Creator: Samim is undergraduate researcher at NC State University, currently working on interesting projects like Blink and StartupBot.
Co-Creator: Chris is assistant professor at NCSU researching automation in software engineering.