Self-directed passion project; inspired by this.
See inspiration and approach behind this appdev project See inspiration and approach behind this appdev project
Built with Python programming language, Vistorylizer℠ is a Twitter API-leveraging desktop application intended to measure a brand’s visual storytelling activities on Twitter.
Just like content comes first, then design; the same premise applies to appdev projects where building out the functionality first comes well before the pretty interface design work.
Keeping that important context (along with this project’s backstory) in mind, the following undesigned screen showcases the preliminary appdev work achieved thus far.
Figure A (above) displays an unfinished, in-progress snapshot of Vistorylizer’s℠ free analysis capability, which is currently limited to image-based media types published by a brand over a seven-day period.
A few notes to consider for improved context include:
In collaboration with my amazing developer counterpart, we are moving forward with augmenting visual storytelling search capability beyond image-based media types.
This careful work, however, involves not just alignment to Twitter’s API but also building out our own Twitter API “modifiers,” which powerfully extend Twitter’s API default capabilities to meet Vistorylizer’s℠ specific product design needs.
Last but not least, we’ll eventually deploy Vistorylizer’s℠ free version as a beta but we’re (very) far from that at the time of this writing (today’s date is Wednesday, April 8, 2020).
Currently, we’re still refining and building and don’t yet have a beta launch but as this is a passion project, we don’t have strict development schedules.
As such, our beta launch is TBD but I’ll update more as additional progress is made.