Day 11 - Profitable MVP in 30 Days - Stuck with New Ideas
Day 11 of the profitable MVP challenge, sharing about searching for new ideas after struggling with the first product. This post introduces the Reading Tracker idea - a tool to help users create, manage, and share their reading lists, with features like syncing from Goodreads, auto-completion when typing, and Amazon affiliate link integration.
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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 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.
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.
English Course Challenge in 2 Weeks - Day 7: What is Fine-tuning ChatGPT?
Day 7 progress in the challenge to create an English course in 2 weeks. The author introduces Fine-tuning ChatGPT - a feature that lets you create custom ChatGPT versions based on provided data, especially useful for customer support chatbots. The post also discusses adjusting the demo app and course direction, along with challenges using OpenAI's API in Vietnam.
Feeling Empty Because I Don't Know What to Build
Sharing about the psychological state of not knowing what product to build next after a successful project. I analyze challenges in the AI era like shorter product lifecycles, high competition, and the pressure to create products with real value.