Great to hear the positives about congestion pricing. It would be great to see how it can ease the congestion in Toronto. Unfortunately, I suggested congestion pricing as a possible solution as part of an academic project and was laughed off.

Car culture is strong, I’d seek local transport advocacy group interest[0] before academic interest. Your academic colleagues all probably drive to work.

[0] in the case of NYC, for example, Transportation Alternatives https://transalt.org/

The Canadian market lacks innovation because the market doesn’t want innovation. Most Canadian businesses and startups thrive in the U.S. simply because the Canadian market is so much more risk-averse. Buyers are afraid of change and investors afraid of risk.

When you say business loans aren’t an option because of size and location, is it because you’re a 1 person company or because you’re in Ukraine? Just trying to understand where these companies consider risk.

Both, and the fact that my previous startup went bankrupt (maxed out personal credit) so my credit score is shot.

With something like an IoT development framework, advertising and promotion is certainly not the way to begin. Have a look at the book called "Traction" by Gabriel Weinberg to get an idea of the different GTM strategies.

You should have a target customer in mind and that will guide the strategies that you'll need to reach them.

Without experience in the field, the other alternative are some educational resources to help you understand the typical discussions: https://blog.pragmaticengineer.com/preparing-for-the-systems...

You could also look at projects where the scaling factor is something else other than users. For example, documents, files, databases, etc. The basic principles should remain the same.

Would you not be able to solve this by having a messaging queue and getting the database to publish it’s updates?

Curious what products you’ve seen as well.

A message queue is a database too.

So the question is: Why have two copies of your data, two products to learn and monitor and operate, write boilerplate to move data between the DBs, etc.?

A "message queue" comes down to being another index on your table/set of tables ordered by a post-commit sequence number. These are things all SQL DBs have already, it just lacks a bit of exposing/packaging to be as convenient to use as a messaging queue.

I’ve seen small businesses use something like Zapier. A better way would be to have a pub/sub system but that may be overkill given the complexity.

Thanks for sharing. Really interesting that you've focused on dividend scheduling which is something I haven't quite seen anywhere else. The app also mentions stock prediction using AI - do you have more details about it?

Thanks for your comment. Yes, AI predictions is yet another function within the app. These predictions focus on short term price movements of common stocks. It does not predict the price itself but aims to have an educated guess on whether the price will go up or down in the coming month. If the prediction is >50%, the price is expected to go up, otherwise a price decrease is expected. A separate prediction is made available for each common stock, and predictions are updated on each market day as more data is collected from markets. 2 different short list of stocks (one for penny stocks only, and one for the rest of the stocks) having the highest algorithmic price increase likelihood are made available as well on each day. As the prediction confidence gets closer to 100% (or 0%), the algorithmic expectation for a price increase (or decrease) gets higher for the stock. For these short listed stocks with highest price increase likelihood, sell target and stop loss figures are shared as well, which are determined based on recent volatility of each stock. (In case you are interested in technicalities, I have used LSTMs as the AI algorithm, which is a type of sequence models that considers in which order things happened in the past when generating predictions.) Worth to note that predictions are indicative, and should be evaluated by also considering technical indicators, financials of the company and even latest news, which are all also available within the app. On each page, if you press on the ? (which is at top right corner), you can find more information on how to use each function within the app. I hope this answers your question. Thanks again for your feedback.

Previously led data teams in banks and you’re right. There are dozens of flags for test accounts. When auditing, we screen out these accounts. Of course, with a proper data cleaning process, analytics gets a lot easier

That reminds me of "Mostly Harmless" from Douglas Adams where Ford Prefect breaks into The Guide's offices and gets himself an infinite expense account from the computer system. That's a dangerous thing to have.

Problem is, anyone with a good story to tell should really keep their mouth shut.

Remote desktops are generally the access point for anything sensitive like source code or data.