If it creates long term value, is it truly the wrong tool?
Perhaps we should re-evaluate how and when we use things when presented with evidence that others are getting massive value out of tools we typically would have been biased against.
I think so. Using SQLite for an application of that scale would require lots of additional work around caching and queuing at the very least. Much of that could be reduced by using Postgres or some other database designed for that workflow.
Still, if many successful enterprises started SQLite for things of this scale, I should probably reach out to them to see whether there's anything missing from my analysis.
Is this a personal or business decision you are talking about?
Can you elaborate the cons that made you decide to move away from Python, C++, and Julia?
Julia makes sense to me, as the youngest production language and community.
But Python? It is the #1 most popular programming language globally. C++ is also very popular. This means you can easily find people to hire globally (making business easier and more economical). You can also easily find code doing almost anything you want---speeding up time to value and time to ship.
I'm wondering what cons are driving your decisions to move on from Python and C++?
I used Artifact to do this with my grandfather. Recorded his stories and voice for posterity as a series of podcasts basically with a professional interviewer and recording team.
I love the way you think! 100% we are considering all of this.
Right now we are a team of 3 and we haven't had time to expand our business into those other niche's. But you best believe we have our eyes set on all the above! There is such a big need to have easier/more fun ways to get the public more aware about these things.
There are lots of schools and nonprofits that offer this education. It's not a profitable business model.
OP is expecting to get money from stock pickers and day traders, which is a much more lucrative market than the average "person who doesn't understand retail banking products".
Not sure if this is close to the problems you want to study, but NASA applied Deep learning to anomaly detection on spacecraft telemetry and has some early results here: https://arxiv.org/pdf/1802.04431.pdf
I'm very interested in anomaly detection problems, so if you find anything good out there do comment back in!
Perhaps we should re-evaluate how and when we use things when presented with evidence that others are getting massive value out of tools we typically would have been biased against.