vaibimba

Hi, mnemonicsloth! Vai from Doqume here.

1. First of all, thank you 2. Yes, we do. I'd first look at: (a) data set: Biotech is a broad area. We'd love to understand the specific use case. We have 50M entities in Doqume today, but we constantly work to integrate or build new sets. (b) work with the content resource: some journals are open, some not. If the abstract has enough information that's usually a good place to start. Otherwise we look at each journal and evaluate next steps. (c) build the engine. There can be very different needs there. I've covered some of it in the article, but let me know if you have any questions I'll be happy to tell you more. 3. Yes, we do.

Feel free to write me: vaidotas [at] doqume [dot] com. And congrats for your startup project!

Cheers, Vai.

Hi lettergram, thanks! Congrats on your bootstrapped project! Sure, I'm going to follow up by email. Curious to hear more...

Vai from Doqume. Thanks, lettergram! Sure, I'd love to connect. Which parts look similar to you, technology or use cases? Cheers.

Thank you, davePlug! A bit of both. We offer APIs that help integrate Doqume's semantic technology into enterprise use cases. But the Research Engine and Query Tool piece of it is a SaaS.

Hi, this Vai from Doqume. Francesco and I have been working on this for a while, and finally, we decided to bootstrap.

We could use some moral support. Thanks for any feedback.

This helps a ton. Thanks. Is there any reason you can think of why you don't go back to old posts, maybe a UI/UX issue or too much content to read? Also, can you maybe tell more about those subfields? Examples that would give a better sense of how those readings help with your work would help.