How to Find Your Next Stop

How to Find Your Next Stop

Echeruo's new venture is called Love and Magic, a startup studio that helps companies of all sizes maximize their ability to innovate.

For anyone that has an idea they have been hoping to turn into a startup, Echeruo and his collaborators just introduced the Startup School of Alchemy. It's being taught at WeWork and Princeton University. It offers a six-week curriculum designed to help aspiring entrepreneurs find product-market fit.Apply with the code "stackoverflow" and you get $1000 off the course, a 40% discount.

Echeruo says his time working in finance and with Microsoft Excel was what gave him the ability to think of how data from maps could be optimized by an algorithm and built into a useful mobile app.

For those who don't know, our co-founder and Chairmam, Joel Spolsky, was part of the team at Microsoft that built Excel. Here is legendary 2015 talk, You Suck at Excel, where he organizes a spreadsheet to keep track of what he pays his Pokemon, ahem,I mean, uh, employees.

You can take a deeper dive into the backstory of how Chinedu built HopStop below, related in his own words.

I've always had difficulty with directions. When I grew up in Nigeria, I remember getting lost in my own house. It wasn’t like it was a mansion, it was a four-bedroom house.

So you can imagine how I felt when I got to NYC and had to get around with the subway and bus system! I remember walking up once to one of those blown up maps in the subway station. My nose was a feet away from the dust laden map. The subway lines looked like tangled noodles. Complexity galore!

New Yorkers used to walk around with these pocket guides—Hagstrom maps. I was going on a date in the Lower East Side. It doesn’t have the grid like the rest of the city. I got lost and was very late getting to the bar.I can't remember how, the date went but I remember what I did first thing next morning. I walked over to the subway station, grabbed a subway MAP and laid it on the floor and tried to figure it out. There’s driving directions. But there weren’t subway directions. So I was solving my own problems.

I was looking for the complete directions—leave your house, turn left, go into this particular entrance, get on this train, get off at this station, use this exit. Because I was, in a lot of ways, the ultimate user, we ended up building a product that solved the complete problem—get me from where I am now to where I need to be.

I was non-technical, I worked for a hedge fund. I may have been thinking algorithmically, I knew that this was computationally possible. But I didn’t know how to make it a reality. In conceiving the problem, I threw all the data into spreadsheets. I interned at this company when I was in college, where I learned about spreadsheets. I found the work very tedious, but I learned how to think about data, to think in tables. It allowed me to conceptualize complexity.

To conceptualize the first subway data as a spreadsheet, I started by staring at the subway map laid on the wood floor of my apartment. The most obvious features were colors, lines, and stops. So those are the tables I typed into Excel first. Then I realized the lines also represented two train directions so I redid the spreadsheet. Then I realized the stops served multiple subway lines, so I redid the spreadsheet. Then I realized some of the stops would only be active during certain periods, so I redid the spreadsheet. We kept on learning and adjusting. It took us a long time before we had a data model that robustly described NYC's subway system. We even figured out how to automatically account for the frequent weekend NYC subway diversions.

To build the first version of the app, I went to eLance, described to these computer scientists the data set in Excel, routes, stops, exits, entrances, and I sent it in. This developer in Siberia, Russia, emailed me, came up with a solution. But he turned out to be a complete genius, he built the core of the first version of Hopstop. Here I was, a Nigerian, sitting in my apartment using messenger, email, on a laptop. And I never met Alex for four years. We built Hopstop over four years without ever meeting each other.

We ran very lean. Alex did all the coding. I did the subway data and user experience. I'd have to ride to different subway stations to note each subway entrance and exit, etc. When we added the bus system, Rajeev and his data team in India helped input the bus stops and schedules. And four years later, we were purchased by Apple, so quite the ride.

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Settle down, nerds. AI is a normal technology

Settle down, nerds. AI is a normal technology

Ryan welcomes Anil Dash, writer and former Stack Overflow board member, back to the show to discuss how AI is not a magical technology, but rather the normal next step in computing’s evolution. They explore the importance of democratizing access to technology, the unique challenges that LLMs’ non-determinism poses, and how developers can keep Stack Overflow’s ethos of community alive in a world of AI. Episode notes: Anil is a tech entrepreneur (former CEO at our sister company Fog Creek Software) and writer. You can find him at his blog anildash.com and on Linkedin. Check out the last time Anil was on the pod in 2020 to talk all things Glitch and Glimmer. Shoutout to user pgrad for winning a Lifejacket badge on their answer to Using type hint Any in Django - NameError: name 'Any' is not defined.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

23 Joulu 37min

Last week in AWS re:Invent with Corey Quinn

Last week in AWS re:Invent with Corey Quinn

Ryan sits down with Corey Quinn, Chief Cloud Economist at Duckbill, at AWS re:Invent to get Corey’s patented snarky take on all the happenings from the conference. They discuss whether the AI agent hype is supported by actual buyers, how startups are faring as AWS focuses on large enterprises, and how many of the new technologies coming out this year will actually be transformative. Episode notes:This episode was recorded at AWS re:Invent 2025! Check out Ryan’s recap of events on our blog. Duckbill provides financial planning and analysis for enterprise infrastructure to help you understand, negotiate, and optimize your cloud spend.Connect with Corey on Linkedin and subscribe to his newsletter Last Week in AWS.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

19 Joulu 23min

Live from re:Invent…it’s Stack Overflow!

Live from re:Invent…it’s Stack Overflow!

Ryan is joined by Stack Overflow’s CEO Prashanth Chandrasekar and Director of Data Science Michael Foree on the floor at re:Invent to discuss all they’ve seen and heard at the event, from the future of AI agents to the trust issues the enterprise has around AI and the impact of AI and robotics on the job market.Episode Notes:This episode was recorded at AWS re:Invent 2025! Check out Ryan’s recap of events from the floor on our blog. Connect with Prashanth on LinkedIn.Connect with Michael on LinkedIn.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

16 Joulu 31min

Interface is everything, and everything is an interface

Interface is everything, and everything is an interface

Ryan talks with Wesley Yu, head of engineering at Metalab, about the evolution of interfaces in technology, the pressure that UI generated on the fly would put on your backend systems, and why AI is just the latest and fanciest in a long line of CRUD apps. Episode notes:Metalab designs interfaces for top brands around the world, helping them design, build, and ship their products.Connect with Wesley on Twitter and LinkedIn.Congrats to Populist badge winner SiddAjmera, who won the badge for their answer to Angular FormControl check if required.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

12 Joulu 24min

AI is a crystal ball into your codebase

AI is a crystal ball into your codebase

Ryan is joined by Kayvon Beykpour, CEO and founder of Microscope, to dive into AI-powered code review’s potential for managing large codebases, the need for humans-in-the-loop for reviewing PRs so AI tools can efficiently and effectively debug, and how AI can increase visibility through summarization at the abstract syntax tree level and high signal-to-noise ratio code reviews.Episode notes:Macroscope helps you understand your code through AI-powered code review, automated PR descriptions, and real-time status reportsConnect with Kayvon on Twitter and LinkedIn.This week’s shoutout goes to user Jesper Grann Laursen for winning a Populist badge on their answer to Exclude Table during pg_restore. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

9 Joulu 34min

Treating your agents like microservices

Treating your agents like microservices

Ryan is joined by Outshift by Cisco’s VP of Engineering Guillaume De Saint Marc to discuss the future of multi-agent architectures as microservices, the challenges and limitations of the infrastructure for these multi-agent systems, and the importance of communication protocols and interoperability in order to build decentralized and scalable architectures. Episode notes:Outshift is Cisco’s tech incubator that pursues emerging technologies like agentic AI, quantum computing, and next-gen infrastructure. Learn more about multi-agent architecture at their open-source collective AGNTCY.Connect with Guillaume on Linkedin. Today we’re shouting out a Socratic badge winner, Avraam Mavridis, who won the badge for asking well received questions on 100 separate days. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

5 Joulu 35min

Abstraction, but for robots

Abstraction, but for robots

Ryan welcomes Simone Kalmakis, VP of Engineering at Viam, to dive into how her team is bridging the gap between software and robotics, the importance of abstraction layers in making robotics more accessible, and the real-world applications of robotics from lobster traps to industrial sanding robots.Episode notes:Viam is a robotics platform that brings modern software development tools into hardware applications. Connect with Simone on Linkedin. This week’s shoutout goes to Lifejacket winner Sergey Kalinichenko for their answer to How does this K&R code for reading an int work?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

2 Joulu 24min

Lightning-as-a-service for agriculture

Lightning-as-a-service for agriculture

Darryl Lyons, co-founder and Chief Rainmaker at Rainstick, joins the show to dive into advancements in AgTech and how Rainstick is using bioelectricity to enhance agricultural productivity. They discuss how Rainstick mimics natural thunderstorms to create electric fields and frequencies that promote plant growth, challenges and breakthroughs in their research, and their participation in the AWS Compute for Climate Fellowship.Episode notes:Rainstick uses electricity to mimic the natural effects of lightning to grow crops bigger, faster, and more sustainably. Want to learn more about the Compute for Climate program? Check our podcast with Lisbeth Kaufman, Head of Climate Tech at AWS.Ryan wrote about how software is being applied to agriculture a few years ago. Connect with Darryl on LinkedIn.Congrats to Lifeboat badge winner WestCoastProjects for their answer to Test accuracy is greater than train accuracy what to do?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

28 Marras 21min

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