Day 27 - Profitable MVP in 30 Days - Trying a Silly App
Day 27 of the profitable MVP challenge where I decide to abandon the Group Opener idea and pivot to building a 'silly app' - a simple, easy-to-build app that still has profit potential. Explaining what silly apps are: simple features that seem unremarkable but can achieve massive downloads, like fart sound apps with 50 million downloads or beer drinking simulators with 90 million downloads.
Related Posts
Discover more content you might enjoy
Profitable MVP in 30 Days - Final Summary
Final summary of the 30-day profitable MVP challenge, evaluating the entire development process of three different apps: SoundBar, ReadingPointer, and Focusify. Detailed analysis of revenue, costs, actual profit achieved, along with valuable lessons about choosing business models, focusing on one product instead of spreading resources thin, and future plans for the developed products.
Day 28-29-30 - Profitable MVP in 30 Days - All According to Plan
Days 28-29-30 of the profitable MVP challenge where I look back at the original plan and assess progress. Sharing how I plan to hit the $1000 profit goal by buying my own app, and announcing the new app Focusify.app instead of letmethink. Also preparing landing page, promo video, and images for launch day.
Day 25 - Profitable MVP in 30 Days - Never Give Up
Day 25 of the profitable MVP challenge where I admit ReadingPointer's failure - user retention is extremely low and no one cares about the paid features. Sharing lessons learned including targeting users with higher willingness to pay, challenges of building cross-browser extensions, and difficulties turning scientific methods like speed reading into products.
Day 24 - Profitable MVP in 30 Days - Launch Day and Some Numbers
Day 24 of the profitable MVP challenge where I decided to launch ReadingPointer on Product Hunt without waiting for Chrome Web Store to approve the new version. Analyzing initial Google Analytics data after 18 hours including new users, average session duration, and button click behavior.
MVP #2: Protecting Online Course Content
Exploring solutions to protect online course content from piracy. This post analyzes technical methods in detail like video streaming and watermarks, and especially the approach of creating superior value so learners are willing to pay instead of finding pirated versions.
Andrew Ng Releases New Deep Learning Course - Have You Tried It?
An introduction to deeplearning.ai - Professor Andrew Ng's latest project with a breakthrough Deep Learning course following the success of his Machine Learning course with nearly 2 million students. A great opportunity to catch up with the technology shaping the future!