May 30, 2020

Finished MVP - Code Challenges (Python/JS/C#)

Mark Snyder @MarkS2

So I started working on this idea about 8 months ago. After 2 months of coding I burned out because I didn't have anything useable and wasn't even sure what it was supposed to be.

After a few months of not thinking about it I picked it back up and drastically simplified. I took 3 pieces of paper and sketched out the simplest UI implementation I could come up with. The result was something I could implement in 2 weeks (and did).

I'm pretty excited - it's raw, but it solves the core problem I was aiming for. Now excited to get into promoting and getting feedback.

Loading comments...
Today's Top Milestones
  • New dashboard look
    Just made some changes to the overview dashboard to better present the most important insights at a glance. In the next days I will group together the
  • Launched my first product and made $300!
    In 2017, I started my blog and newsletter, Life Reimagined. Long story short… after gro
  • Screpy became AppSumo finalist
    AppSumo is the #1 software deal site for entrepreneurs. Screpy is the best SEO Analysis & Monitoring tool you can find on AppSumo. What are the benefi
  • Publish on indie hacker
    It is my very first product release on indie hacker, and I hope community will helps me to improve/validate my ideas on this product. Also the product
  • Launching a product I spent far too long building
    First milestone. Finally gearing up to launch usebolt.io - a platform to make collecting design feedback super easy, on both live websites and static
  • Published Technical Guide to Building a SaaS
    In the past few months I've been pushing hard to create useful content about how to build a SaaS application in my technology stack of choice (Django)
  • Launched a GraphQL mini tester
    One piece of feedback we kept getting is that there were a lot of barriers to try out Meeshkan. This mini tester (https://meeshkan.com/test-graphql/)
  • (Part #2) ML – Important decisions to be made
    Let's continue introducing you to our new project - product matching assisted by Machine Learning (ML). Before kicking the project off, we had to make