At 1:42 p.m. on Friday, Sept. 27, 2019, SEPTA Regional Rail and buses were officially not fucked.
It was surely a relief to Philadelphia commuters who rely on those specific services, especially those who have seen how the efficiency of public transportation on beautiful sunny afternoons contrasts with that of winter days, when snowstorms can send the beloved Is SEPTA Fucked? website into “Turbo Fucked” status.
How has the project, which is built with Node.js running the Express Webserver on Heroku, changed in that time?
“The two main changes were making the website mobile friendly, and adding the infamous ‘Turbo Fucked’ status,” Muth wrote in an email.
“Currently, I have 60 million pieces of train data going back 4 years,” he said. “Every train, every minute, how late it is, the next station, and its lat/lon coordinates.”
One recent notable traffic day was Wednesday, Aug. 7, when severe thunderstorms threw SEPTA’s automated communications systems into flux. Muth said Is SEPTA Fucked? saw more than 1,000 visitors that day.
And while he’s received positive feedback from users, there’s one stakeholder he hasn’t heard from: the Southeastern Pennsylvania Transportation Authority itself.
“I thought about bringing this up with SEPTA in the past,” Muth said, “but it seemed to me that going up to them and saying, ‘Hey, I built this website with your agency’s name and the word “fucked” in it, wanna see?’ would be … kind of a dick move on my part.”
When he’s not tracking transportation, Muth works on various data projects to solve “everyday problems,” including these (with provided descriptions):
- Diceware —This app lets you generate passwords you can actually remember, using a browser-based version of the Diceware technique.
- Splunk Network Health Check — A Docker app which spins up an instance of Splunk to test your network in real-time. Useful for when dealing with bad hotel internet.
- Splunk Lab — Lets you stand up a Splunk instance inside of Docker in seconds, complete with a number of apps and data sources built in, including Splunk’s machine learning app. “Once that was written, I went on to Splunk Yelp reviews, Glassdoor reviews, Telegram chat groups, and my FitBit data,” he said.