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dtft

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Location: Fully Remote (PT-ET Timezones)

Remote: Yes

Willing to reloacte: No need!

Technologies: Python / Flask - React - AWS (Serverless w/ Lambda) - CHOOSE YOUR TOOL

Email: maddiec at postscript dot io

Description: Postscript.io (YC W19) is hiring Full-time Product Engineers (Full Stack)

Postscript is a fully remote team of 20 looking for help in solving complex problems like real-time streaming data (1000's of events per second) on the back end and beautiful, simple ways of interacting with that data on the front end. We help ecommerce companies stay in touch with their customers (customer service, order management, and other notifications via text messaging).

We're scrappy hackers searching for similarly hungry individuals -- growing 10% every month. We love LEARNING & BUILDING and we want every one of our engineers to leave us ready to start their own company.

Postscript.io (YC W19) | REMOTE (PT-ET Timezones) | Full-time Engineers (Front End & Full Stack) Postscript is a fully remote team of 12 looking for help in solving complex problems like real-time streaming data (1000's of events per second) on the back end and beautiful, simple ways of interacting with that data on the front end. We help ecommerce companies stay in touch with their customers (customer service, order management, and other notifications via text messaging).

We're scrappy hackers searching for similarly hungry individuals -- growing revenue 20% every month. We love LEARNING & BUILDING and we want every one of our engineers to leave us ready to start their own company.

Tech stack: Serverless Python / Flask - React - AWS - CHOOSE YOUR TOOL

Email colin at postscript dot io <- That's me, let's chat!

Postscript.io (YC W19)| REMOTE (PT-ET Timezones)| Front-End Engineers

Postscript is a fully remote team of 12 looking for help in building a beautiful, world-class web application for brands. We help ecommerce companies stay in touch with their customers (customer service, order management, notifications via mobile messaging). Our web app is full of analytics graphs & charts and we'd love to add real-time streaming data dashboards and GUIs to help our customers build complex automation logic.

We're scrappy hackers searching for similarly hungry, UX focused individuals -- growing revenue 20% every month. We love LEARNING & BUILDING and we want every one of our engineers to leave us ready to start their own company.

Tech stack: React - AWS - CHOOSE YOUR TOOL

Email adam at postscript dot io <- That's me, let's chat

Postscript.io (YC W19)| REMOTE (PT-ET Timezones)| Full-time Engineers

Postscript is a fully remote team of 10 looking for help in solving complex problems with real-time streaming data (1000's of events per second). We help ecommerce companies stay in touch with their customers (customer service, order management, notifications via mobile messaging)

We're scrappy hackers searching for similarly hungry individuals -- growing revenue 20% every month. We love LEARNING & BUILDING and we want every one of our engineers to leave us ready to start their own company.

Tech stack: Serverless Python / Flask - React - AWS - CHOOSE YOUR TOOL

Email adam at postscript dot io <- That's me, let's chat

Devils advocate argument:

I work at an e-commerce company that is designed and incentivized to sell as much product as possible. Are we taking advantage of "shopping addicts"? Where is the line drawn between capitalism and morality?

Sidenote: Casinos also exist to provide entertainment value. I don't mind spending $20 on blackjack just to play with my friends and talk with new people. Just because there is a subset of individuals that can't handle that entertainment responsibly doesn't mean that the business itself is immoral.

Quick read and valuable feedback. No idea how they were featured on the App Store for EVERY release, that's pretty insane. Sounds like they couldn't get retention down, but had solid acquisition.

You helped answer the questions yourself. The fact that it was built for statistical analysis means that the syntax and overall flow is REALLY easy to understand and manipulate data with. I imagine someone who is familiar with Python would gravitate towards Pandas or another library, but for the BI that I do every day, R is perfect.

People love saying that BI/Data Science is 80% cleaning data (which may or may not be true), but I've found R to be the best for cleaning up 100k+ rows at a time.