The long road to a lifestyle business

Almost a year ago, I left my last full-time job and decided to set on an independent path that includes data science consulting and work on my own projects. The ultimate goal is not to have to sell my time for money by generating enough passive income to live comfortably. My five main areas of focus are – in no particular order – personal branding & networking, data science contracting, Bandcamp Recommender, Price Dingo, and marine conservation. This post summarises what I’ve been doing in each of these five areas, including highlights and lowlights. So far, it’s way better than having a “real” job. I hope this post will help others who are on a similar journey (there seem to be more and more of us – I’d love to hear from you).

Personal branding & networking

Finding clients requires considerably more work than finding a full-time job. As with job hunting, the ideal situation is where people come to you for help, rather than you chasing them. To this end, I’ve been networking a lot, giving talks, writing up posts and working on distributing them. It may be harder than getting a full-time job, but it’s also much more interesting.

Highlights: going viral in China, getting a post featured in KDNuggets
Lowlights: not having enough time to write all the things and meet all the people

Data science contracting

My goal with contracting/consulting is to have a steady income stream while working on my own projects. As my projects are small enough to be done only by me (with optional outsourcing to contractors), this means I have infinite runway to pursue them. While this is probably not the best way of building a Silicon Valley-style startup that is going to make the world a better place, many others have applied this approach to building a so-called lifestyle business, which is what I want to achieve.

Early on, I realised that doing full-on consulting would be too time consuming, as many clients expect full-time availability. In addition, constantly needing to find new clients means that not much time would be left for work on my own projects. What I really wanted was a stable part-time gig. The first one was with GetUp (who reached out to me following a workshop I gave at General Assembly), where I did some work on forecasting engagement and churn. In parallel, I went through the interview process at DuckDuckGo, which included delivering a piece of work to production. DuckDuckGo ended up wanting me to work full-time (like a few other companies), so last month I started a part-time (three days a week) contract at Commonwealth Bank. I joined a team of very strong data scientists – it looks like it’s going to be interesting.

Highlights: seeing my DuckDuckGo work every time I search for a Python package, the work environment at GetUp
Lowlights: chasing leads that never eventuated

Bandcamp Recommender (BCRecommender)

I’ve written a several posts about BCRecommender, my Bandcamp music recommendation project. While I’ve always treated it as a side-project, it’s been useful in learning how to get traction for a product. It now has thousands of monthly users, and is still growing. My goal for BCRecommender has changed from the original one of finding music for myself to growing it enough to be a noticeable source of traffic for Bandcamp, thereby helping artists and fans. Doing it in side-project mode can be a bit challenging at times (because I have so many other things to do and a long list of ideas to make the app better), but I’ve been making gradual progress and discovering a lot of great music in the process.

Highlights: every time someone gives me positive feedback, every time I listen to music I found using BCRecommender
Lowlights: dealing with Parse issues and random errors

Price Dingo

The inability to reliably compare prices for many types of products has been bothering me for a while. Unlike general web search, where the main providers rank results by relevance, most Australian price comparison engines still require merchants to pay to even have their products listed. This creates an obvious bias in the results. To address this bias, I created Price Dingo – a user-centric price comparison engine. It serves users with results they can trust by not requiring merchants to pay to have their products listed. Just like general web search engines, the main ranking factor is relevancy to the user. This relevancy is also achieved by implementing Price Dingo as a network of independent sites, each focused on a specific product category, with the first category being scuba diving gear.

Implementing Price Dingo hasn’t been too hard – the main challenge has been finding the time to do it with all the other stuff I’ve been doing. There are still plenty of improvements to be made to the site, but now the main goal is to get enough traction to make ongoing time investment worthwhile. Judging by the experience of Booko’s founder, there is space in the market for niche price comparison sites and apps, so it is just a matter of execution.

Highlights: being able to finally compare dive gear prices, the joys of integrating Algolia
Lowlights: extracting data from messy websites – I’ve seen some horrible things…

Marine conservation

The first thing I did after leaving my last job was go overseas for five weeks, which included a ten-day visit to Israel (rockets!) and three weeks of conservation diving with New Heaven Dive School in Thailand. Back in Sydney, I joined the Underwater Research Group of NSW, a dive club that’s involved in many marine conservation and research activities, including Reef Life Survey (RLS) and underwater cleanups. With URG, I’ve been diving more than before, and for a change, some of my dives actually do good. I’d love to do this kind of stuff full-time, but there’s a lot less money in getting people to do less stuff (i.e., conservation and sustainability) than in consuming more. The compromise for now is that a portion of Price Dingo’s scuba revenue goes to the Australian Marine Conservation Society, and the plan is to expand this to other charities as more categories are added. Update – May 2015: I decided that this compromise isn’t good enough for me, so I shut down Price Dingo to focus on projects that are more aligned with my values.

Highlights: becoming a certified RLS diver, pretty much every dive
Lowlights: cutting my hand open by falling on rocks on the first day of diving in Thailand

The future

So far, I’m pretty happy with this not-having-a-job-doing-my-own-thing business. According to The 1000 Day Rule, I still have a long way to go until I get the lifestyle I want. It may even take longer than 1000 days given my decision to not work full-time on a single profitable project, together with my tendency to take more time off than I would if I had a “real” job. But the beauty of this path is that there are no investors breathing down my neck or the feeling of mental rot that comes with a full-time job, so there’s really no rush and I can just enjoy the ride.

Public comments are closed, but I love hearing from readers. Feel free to contact me with your thoughts.

“What I really wanted was a stable part-time gig.”: They’re remarkably hard to find. It’s an absurdity of our time that many people are overemployed - selling more of their time than they want for more money than they need - even while many other people are underemployed - unable to sell enough of their time for enough money to live comfortably.
That’s very true. The interesting thing is that it’s a problem that is not unique to this century. It was discussed by Thoreau in Walden (1854), Bertrand Russell in In Praise of Idleness (1932), and David Graeber in On the Phenomenon of Bullshit Jobs (2013), to name a few. People seem to be worried about robots taking their jobs, but the scarier thought is that robots will never take our jobs, because we’ll keep coming up with ways of staying employed rather than enjoy the affluence afforded by technological advancements.
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