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Do you roughly know the relative ratios of emission for the sources?


Alternatively, I will reply to myself at that point in the thread. Just have to make sure you don't include this when conversing later, which isn't a problem as I generally reply to the other person's inbound.

Sending myself emails as notes is the stickiest note taking app I've had in 20+ years of internetting.


Signaling respect based on how much status a person has is not about respect, its about status. Unless you also dress up for e.g. serving soup at a soup kitchen.


It's possible he succeeded in spite of these behaviors, not because of them. The only difference in the two interpretations is our own initial biases.


It might be ineffective, or the subconscious bias we all have might automatically lower the person's status. IOW, they might have this effect normally.

If that feels unlikely, it's because it is. But we have very little way of knowing how this would play out in any other situation.

My point is we should all be less certain of the stories we tell.


Were you deploying using a Python webserver (e.g. SimpleHTTPServer), or was it nginx routed to an app server?


Wouldn't a job queue solve both issues? You could either make the data science stuff async (and spin up more servers as necessary). Or, with a job queue, you could use a go webserver to push requests into the queue for processing in python.


I'm confused as to why you loved it, if it added no value. Do you mean that you emotionally loved using it, but on an actual examination, realized it didn't help you manage your money?

my experience: I felt like I was a Responsible Adult when I used it, but didn't actually budget any better.


On the surface it’s a great tool to consolidate all of my financial accounts in real time- checking, savings, credit cards, and investments. With a little effort the categorization of each transaction was helpful in tracking my spending. That’s where the usefulness ended. Most categories became cluttered with noise after a while and when I left there were no bill pay tools (not sure if they have those now?). Budgeting tools weren’t smart and at some point I started seeing ads for new credit cards each time I logged in. They has access to every single transaction I made, priceless data, and blew it.


I'm super interested in this solution, can you expand a bit on your motivations and help me better understand the problem?

I see a lot of times, people export to Excel to do their own analysis. I think there is something about doing it "my way" that helps me connect with the data, whether it's budgeting or (my current project) fantasy sports.

Specifically, what value do you get from exporting and creating your own graphs? How much time do you spend / how frustrating is it to have to export and build the graphs?


Specifically I wanted a stacked bar chart so I could see spending over time broken out by category. So if I had a spike, I could see "oh, I bought a plane ticket that week" and I could toggle categories on and off, and just have a graph with, say, groceries and fast food over time. Excel makes this reasonably easy to do, but you can't do it at all in Mint.

One day I will throw it into an instance of http://redash.io and have more fluent access to the data, since I write SQL-backed graphs in my actual job I'm much better with it than Excel.


You and I sound very familiar! I also have plans for personal dashboards using redash for everything from weather to a shared calendar. Also plan on putting it in a display in a Magic Mirror for aesthetics... but who has the time!

Couple questions, if you don't mind taking the time:

1) What makes you want to use Redash, instead of a spreadsheet?

2) If you had a service that (securely) sync'd data into your spreadsheet, would that provide all of the value of Redashing it?


My major takeaway was how cheaply they tested this idea. Waiting for someone to sell this as a provider-as-a-service to VCs, so they can quickly get a real world estimate of TAM.

For $1k in spend and a day's work, they had a nice data point that tested TAM assumptions.

* Landing page is a template, figure 4-8 hours to put together the couple hundred words of content and configuring assets

* FB Spend = $509.23

* Estimate Google spend around the same (numbers not specified)


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