Let's see how fast I can make $2117.91 USD. The goal is by end of day, Sunday March 18th.

I made it! 🎉

Income to earn: $0.00!
In the bank: $47.00.
Contracted but not yet invoiced: $2100.91.

I am live-blogging my entire process and thought patterns over the three day challenge here. Follow along!

Frequently Asked Questions

Twitter: @richlitt
Email: richard@burntfen.com


- Mon at 00:47 - How did it go?
- Sun at 19:14 - The crash
- Sun at 17:12 - Art
- Sun at 13:02 - Jekyll Scheduler builds on command
- Sun at 10:35 - Goal achieved
- Sun at 02:10 - Express, Heroku, and OAuth conquered
- Sat at 19:23 - At the bleeding edge
- Sat at 16:56 - Getting Probot working
- Sat at 15:54 - Providence at the cafe
- Sat at 15:14 - Business models for Jekyll Scheduling
- Sat at 14:48 - Negative feedback
- Sat at 14:35 - Scheduled Jekyll Posts
- Sat at 09:56 - Morning reflections
- Sat at 00:59 - First day post mortem
- Sat at 00:21 - Better navigation
- Sat at 00:03 - Working blog
- Fri at 22:56 - Setting up a blog
- Fri at 18:06 - Adventure branding
- Fri at 16:03 - Patreon Post
- Fri at 15:36 - Afternoon goals
- Fri at 13:28 - Hunger
- Fri at 13:06 - Marketing this project
- Fri at 12:40 - Machine Learning?
- Fri at 11:54 - Probot
- Fri at 11:42 - First Client!
- Fri at 11:13 - Small notes and Buffer
- Fri at 10:33 - Reputation
- Fri at 10:32 - First Contact
- Fri at 10:19 - The First Tweet
- Fri at 10:12 - Introduction

View the Project on GitHub

This project is maintained by RichardLitt

Machine Learning?

After closing my first sale, I got a bit distracted. First, I was going to run home to work on my lunch. Then, however, my friend Thomas Getgood walked into my cafe. Thomas is an awesome programmer, who brews his own beer, roasts his own coffee, and sometimes tries to build a fusion reactor in his apartment. He wants to work on machine learning this weekend.

As it happens, I think that sounds cool. I proposed a deal; let’s see if we can find a project, and I’ll give him half of any proceeds we might make by marketing it and helping code it.

So, we spend a bit thinking about what we could do. I was thinking about a running newsletter and app, but then discarded that as not being easy enough with AI.

Then, we hit on code comparison. Could we build a machine that learns the style of code from a coder, and makes PRs or suggestions to compared code? Can you make my code look like the best JavaScripters? Could you endorse different code syntaxes I don’t use very often, and highlight them to me? There are a ton of applications.

I put Thomas onto research by Charles Sutton in Edinburgh, who does this sort of comparison (I almost applied to a PhD under him, years ago). For now, he’s reading away, and I’m thinking about the next thing I can do.

@flexdinesh also messaged about possibly helping out. I’ve got to think about a way to bring in more developers on this project.

Beam me home, Scotty!