Reedr

Inspiration

Indonesia ranks the second least literate country. This is far from ideal reality as reading is one of the most effective ways to gain knowledge. Therefore, we aim to get reading as a cultural habit for Indonesian people.

What it does

Reedr picks a random article and reminds the user to read. The article is randomised by user’s favourite topics to keep users interested. Reedr also provides a reading goal to track reading time easily, as we believe that consistency in reading will build literacy habits and help them to get smarter every day.

How we built it

Starting with the design stage, we prioritised simplicity and imitate reading experience by selecting black and white as our main colours. Reedr's main screen is full-screen reading with a floating menu button that shows reading goals with minimal distraction.

On the engineering side, we developed Reedr with usability, reusability, and scalability as our priority. Reedr was built using BLoC design pattern and supported with back-end and cloud configuration. We have also built a back-office system to manage configurations for Reedr and assets management such as images, etc.

Challenges we ran into

The main challenge that we faced was time management. Our job and several other activities often took up our time and concentration.

Accomplishments that we're proud of

We built Reedr in less than seven days. Despite our rushed delivery, we are proud that we do not forego on tiny details. We even handpick the black colour (obviously not #000000) that doesn't smear on the OLED screen, yet still have high contrast. We have also built a back-office system to manage configurations for Reedr and assets management such as images, etc.

What we learned

With this project, we learned to work on a project quickly, from zero to the detailing stage in a very well manner. Even though it is done quickly, our main goal never veers away from providing value and convenience for the users of Reedr.

What's next for Reedr

Our upcoming feature for Reedr is the use of AI in selecting articles. This AI will watch the user behaviour in rerolling for a new article and run behind the scenes to find the best articles for our users.

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