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logvol

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I'm the chief operating squatch at referralsaasquatch.com

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Stripe Sigma 9 years ago

Is the data freshness a joke? 2 DAYS to get data into the data warehouse? Stitch, Fivetran, Segment, and more can do way better than that without any internal hooks.... :/

Additional processing time–up to 48 hours–is required to make your account’s transactional data available in Sigma. This means that it does not reflect your account’s most recent data and should be considered a couple days behind. The Sigma interface displays the date and time of the last update to your data.

https://webtask.io/

Why the don't use Lambda: https://medium.com/aws-activate-startup-blog/sandboxing-code...

... hile we were at it, AWS announced AWS Lambda, which looked like a potential remedy to our challenge. Upon further investigation, however, it became clear AWS Lambda is centered on an asynchronous programming model that did not quite meet our needs. The custom logic we run in Auth0 is an RPC logic: it accepts inputs and must return outputs at low latency. Given the asynchronous model of AWS Lambda, implementing such logic would require polling for the results of the computation, which would adversely affect latency...

Definitely. Outbound sales was how we validated our business model before we wrote a single line of code. There is so much you can learn.

Outbound sales, be it cold calls, cold email or warm intros, are very powerful. Keep in mind "With Great Power Comes Great Responsibility". Don't waste people's time. Ask for permission to speak. Listen.

Recommended reading: Jason Lemkin http://www.quora.com/Jason-M.-Lemkin

How GuideSpark Tripled Revenues Two Years in a Row, Growing to Almost Eight Figures in ARR — All Using Outbound Sales http://saastr.quora.com/How-GuideSpark-Tripled-Revenues-Two-...

Hey Patrick, stoked to hear your response! Solid advice all around, I definitely agree! Unfortunately, I was looking for something more than just "do a lot of work and do it well"... but I might just be wishing for something too good to be true!

On a related note, one of my favourite features of the Stripe webhooks is the UI for showing logs/events/etc. Makes developing SO MUCH easier when it's not just some magic black box.

Sounds like a great idea for a follow-up blog article. In fact, I just saw a presentation that said that before the referral program, Dropbox only had a K = 0.1. I'll try to put a list together.

Most of the models that we've seen are rather simple -- they assume that you just "have 1000 users" and then just show what happens from viral growth.

While those are illustrative of first principles, they don't really hold up when it comes to modelling your userbase over time.

Sounds like Google's response to Facebook messenger & open graph.

Definitely agree with most of the commenter's. Sounds like a huge helper for google apps and the SaaS apps built on there.