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.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jaksot(909)

Only you can stop AI database drops

Only you can stop AI database drops

Ryan is joined by David Hsu, CEO and founder of Retool, to explore how AI is transforming the role of a software developer into a software architect, the increasing accessibility of coding for non-eng...

21 Marras 202532min

How to create agents that people actually want to use

How to create agents that people actually want to use

Ryan welcomes Assaf Elovic, head of AI at monday.com, to discuss creating AI tools that users will actually adopt, how they created their Monday Sidekick agent with the user experience in mind, and th...

18 Marras 202527min

The fastest agent in the race has the best evals

The fastest agent in the race has the best evals

Ryan welcomes Benjamin Klieger, lead engineer at Groq, to explore the infrastructure behind AI agents, how you can turn a one-minute agent into a ten-second agent, and how they used fast inference and...

14 Marras 202532min

One thing enterprise AI projects need to succeed? Community.

One thing enterprise AI projects need to succeed? Community.

In this episode of Leaders of Code, Stack Overflow CEO Prashanth Chandrasekar chats with Ramprasad Rai, VP of Platform Engineering at JPMorgan Chase & Co., about the unique challenges of implementing ...

13 Marras 202523min

AI code means more critical thinking, not less

AI code means more critical thinking, not less

Ryan is joined by Secure Code Warrior’s co-founder and CTO Matias Madou to discuss the implications of LLMs’ variability on code security, the future of developer training as AI coding assistants beco...

11 Marras 202532min

Revealing the unknown unknowns in your software

Revealing the unknown unknowns in your software

Ryan welcomes Nic Benders to discuss the complexity and abstraction crisis in software development, the importance of going beyond observability into understandability, and demystifying AI's opacity f...

7 Marras 202531min

To write secure code, be less gullible than your AI

To write secure code, be less gullible than your AI

Ryan is joined by Greg Foster, CTO of Graphite, to explore how much we should trust AI-generated code to be secure, the importance of tooling in ensuring code security whether it’s AI-assisted or not,...

4 Marras 202528min

Vibe coding needs a spec, too

Vibe coding needs a spec, too

Ryan talks with Deepak Singh, VP of Developer Agents and Experiences at AWS and lead at Kiro, about spec-driven development in a vibe coding world. They explore how AI tools have evolved from autocomp...

31 Loka 202526min

Suosittua kategoriassa Liike-elämä ja talous

sijotuskasti
psykopodiaa-podcast
mimmit-sijoittaa
rss-rahapodi
rss-rahamania
rss-lahtijat
ostan-asuntoja-podcast
rahapuhetta
rss-neuvottelija-sami-miettinen
rss-h-asselmoilanen
rss-laakispodi
inderespodi
rss-porssipuhetta
rss-startup-ministerio
rss-bisnesta-bebeja
sijoituspodi
rss-strategian-seurassa
asuntoasiaa-paivakirjat
rss-merja-mahkan-rahat
rss-paasipodi