thecodingmonk

Thanks for the question, whitten! You raise a very interesting point.

We definitely plan to contribute information back to Wikidata and, in fact, we already did as part of our experiment. We contributed more than a thousand edits, mainly on company data like industry of operation. Of course, we need to strike a balance between what we contribute back and what we keep as competitive advantage.

Besides that, we always comply with licenses and give credit to the original source when this is required. For example, when displaying Wikipedia content there's always a prominent link to the page where the content has been extracted from.

Thanks a lot, freediver! This is Francesco, co-founder.

We are using Entity Linking to detect entities in text. The algorithm takes into account context to disambiguate words, i.e., in "Mercury is a chemical element with the symbol Hg and atomic number 80" the word Mercury should be linked to the chemical element rather than the planet. When documents are indexed this way, the user is able to perform queries for specific concepts rather than simple keywords.

We had a demo open until a week ago, but we decided to close it to focus on finishing up some infrastructure work that will help us handle more efficiently maintenance of data sets. On the other hand we didn't want to drag it for too long and decided to just launch :)

We'll re-open to the public once we do that. If you're curious I can share a login for you to try it out.

> Techstars contributes $20,000, which is commonly used as a stipend to support living expenses during the program, and in return receives 6% common stock from each company.

I was considering Techstars, but the deal looks kind of unappealing, especially compared to YC.

I mean, yes, they give you access to their network and "300k$ of cash equivalent hosting, accounting and, legal support", but I suppose you also get that at YC plus 120k more in cash.

Just got the rejection mail, good luck everybody!

It's just one of the examples that came to my mind and that I thought was good. From what I know people working in pharma routinely have to search thousands of documents (e.g., research articles) looking for information.

Well, you can obtain these results with Google, but not really in most scenarios. For example, if you search "cities in Palestine with more than 1000 inhabitants" you will get lists of cities in Palestine and things like that, but not that New York Times article talking about Hebron (and not even a complete list of cities that match your criteria). This happens with lots of queries, where in the best case scenario Google will just return you a list of items (and not actual content talking about those items) and in the worst case scenario you will just get random results because it failed to parse the query.

Doqume.com

A semantic search engine for documents, which makes data and information discovery more efficient

We are currently working on improving the MVP and contacting potential customers for feedback

This also happens very frequently when I'm connected through a VPN. Must be that the IP is blacklisted or something, but basically there's no way to go past the captcha because it will keep showing images to validate forever.

I see many people here complaining about this feature, and while I completely agree with them I also find it difficult to imagine an effective way to clearly explain these concerns to a random average user with limited to no knowledge of computers. How would you go in explaining this stuff if you wanted to convince somebody to switch to another browser?