New Requests for Startups

Sorry, this is not the right problem in financial services. Companies like Vanguard are already doing a great job of this and the costs are extremely low. Its a commodity product with razor thin margins that actually serves the needs of its customers well. Maybe there's a marketing issue where they aren't educating enough people, but that's not a technology problem.

As an alternative: Lower the Costs to IPO, disrupt Investment Banks

Sarbanes-Oxley, minimal competition between investment banks, and heightened SEC scrutiny have made the fixed costs to an IPO astronomical. These days a company, for the most part, cannot IPO for less than a $1 billion raise. This means that the broad public, including those index funds YC loves, is prevented from enjoying any returns at all for younger, high-growth companies.

There is room for startups to disrupt part or all of the process. It would be capital intensive and hard as hell. But, you're not looking for easy right?

Also it's a very difficult field of science. Now you need to be proficient in AI, machine learning, computational linguistics, linguistic corpora research, cognitive sciences, statistics, and sometimes physics if the text changes over time. Of course, you also need to be a good programmer. This combination of skills is very rare. Thus, very slow progress.

I suggest to start with well defined practical problems. For example, no one seems to do much with user generated reviews. There is some sentiment analysis but that is just a binary text categorization problem - not even close to general purpose AI.

It would be much more interesting to show a seller a time ordered stream of clustered reviews that depict only the most representative review for each cluster. This way a seller can see how his/her fixes/changes impact user reviews. Also it would be a great source for features and bug fixes requests. This is an ideal testing bed for clustering, novelty detection, categorization and mild inference. The inference is required because of sparseness of data.

This would create a good data set for a more general purpose AI. We would have reviews and text documenting changes and improvements of a new version of a product. Now the computer could start learning the dialog between users and product developers. Then, we are just one more step from statistical inference based question-answering system. Not a brute force system like "Watson" or a hand crafted rule base system like "Siri".

[EDIT:] I was thinking more about a decision support system that can recommend product changes. But in a way that maximizes customer satisfaction and minimizes the cost of implementation. The dialogue between past changes and customer reaction would give us the surface that needs to be optimized. This would generalize well to other domains where there is a text for request and a text for response - just to name one: clinical text in healthcare (position 5 in the RFS).

Yep. You're not going to fix a problem caused by privatization with more privatization.

Also, a lot of this prevention can be tied back to diets, not a lack of sensors.

Countries with universal coverage through other-than-single-payer systems do this, too. (every OECD country other than Mexico and the US has universal coverage -- but not all of them through single-payer -- and every OECD country spends massively less per GDP, let alone per capita, on healthcare than the US does; to the extent that many of those that do have public single-payer universal systems pay less in GDP for that than the US does considering public costs in the US alone, without considering the slightly-higher private costs in the US.)

I'd like to invite people to try the early release of Empire API, which is one API for every enterprise SaaS:

http://empiredata.co

Empire is an API for accessing enterprise SaaS services such as Salesforce, Zendesk, Google Apps, etc. It provides a uniform, database-like interface to every service that it supports. Empire makes it easy to integrate data from multiple enterprise services into your own enterprise app.

You can click Login to create an account, and we'll send you an API key. Or you can just sign up for the mailing list.