Leverage Software as a Service Techniques to Create Strong Monetization Prototypes for Your Ideas
Source: Lucas Amunategui
This is a match made in heaven for us weekend entrepreneurs and our burgeoning data science prototyping labs!
Risk, Cost, and Worry-Free
The idea of being a tech entrepreneur is great but taking that leap can be intimidating. What if there was a
way of doing it without "leaping"? Here is a gentle way of launching side projects with minimal risk and at your
pace. It can also be fun, especially if you don't take it too seriously and start looking at failure as a
positive nudge to move on to the next idea.
What is SaaS?
Software as a service (Saas) uses a subscription delivery model instead of selling a product outright. Most
software companies are going there. It's an attractive model for both sides of the fence. The cost of entry is
cheaper than having to buy the software outright (think under $100 for Office 365 versus a couple $100s it
used to cost for the outright purchase). It also ensures that you always have the latest version. For businesses,
it creates revenue streams and allows the deployment of updates and new features with less formality.
For the ML entrepreneur, it's a perfect model. It gives the weekend warrior the ability to showcase work
to his or her network. But also formalizes the discovery and sales funnel in a way that empowers those with
little experience or time to worry about the nuances of software production. Just slap a subscription or
donation button to your page, and there it is, monetized! A service like Stripe will handle all the sensitive
data, encryption, banking transactions, refunds, and even yield irrefutable financial analytics.
Why SaaS and Data Science?
It builds a monetization framework that is simple to follow and easy to replicate from project to
project (at times as simple as moving a button from one page to the next).
It gives you an aiming mechanism to focus and compare the impact of your work on different niches and groups.
It puts crystal-clear financial analytics within your reach to quickly gauge interest, success, long-term viability.
What to Build?
Here comes the fun part. We're talking about data science here, so your product either includes a model or analytics or
both and will produce an output as a web page or a rest-API source. Data science is your edge over the competition, that's
how you can differentiate yourself over others!
Either way, we need to build a web application (nothing scary here as its easy, cheap and, in some cases, free). And
if you don't have a business idea, don't worry, think about what you can automate or simplify, think about the services
you pay for, think about the pain points in your business or hobbies. We're all very lazy, so any tool you can come up
with that saves us time is something you can monetize.
A great place to start is to focus on a problem in your own backyard, in your niche, and automate it, simplify it or
offer analytics around it.
If that doesn't work, start roaming message boards and aggregation sites like Reddit, Hacker News, Facebook, and fish for
My focus is on data science as it is still relatively a 'low hanging fruit', here are some ideas:
Information aggregation (stock market, news, social sites, sports, media, books, etc.)