I'm not sure you have a DB in all cases. The situation that made me think of this service was such a situation: we (startup business) had no easily accessible d

I'm not sure you have a DB in all cases. The situation that made me think of this service was such a situation: we (startup business) had no easily accessible db where we could place the data for our fledgling BI project. We were using a Google spreadsheet and entering things manually into it. Things such as new subscriptions and cancels each week, etc. Putting that data into the main user db our SaaS product was using meant disturbing our developers who were very busy and also not to keen on contaminating the production db with BI data :) I think this lack of an existing db is common to many small businesses and hobbyists who are collecting (or want to collect) various forms of time series data, from various sources. You may be right that this is not a service that will attract many business users willing to pay for the higher tiers, that it is more suitable for small- (or tiny-) scale use, but that's the beauty of an MVP - you don't spend too much effort on it and you let the users guide development. If it turns out only serious IoT hobbyists buy, and they only buy the "Personal" subscription, then that's the target audience and the tier to focus on. As for the log file example, sure I would pay someone to store 1000 lines of log data if the data was important to keep. Log files rarely are. But BI data, like new user registrations per day or week is something you never want to lose, and it is not a lot of data. I would pay someone $50/year if it meant I could store some simple BI metrics for my startup, at the resolution I needed, and not have to worry about finding a place in some existing db for it, or set up a new db. Come to think of it, this is another dogfooding opportunity - I have to feed pushdata.io BI metrics into timeseries on pushdata.io! :) Anyway, I hear you and I thank you for the input. You may be right, we will just have to see. I'll be happy whatever target audience I can find that are willing to pay more than it costs me to serve them.