The 14th most popular jQuery plugin of
all time (apparently) used by over half a million websites - including those from Arcadia
Group, Gillette, GitLab, iFixit, Manchester City, Patagonia, Sports
Direct plc, and more - and its been bundled with hundreds of templates
for Shopify, Magento, and WooCommerce. Despite its age the project
continues to see widespread usage across the web.
A
four part series
introducing a novel new framework called React which can be used to
create adaptive-hybrid or isomorphic web applications which can avoid
the fragility of JS only websites. The series received hundreds of
thousands of views and the articles were even translated into other
languages.
Beer Near You was a Ruby on Rails application to help users find decent
beers across London. It used data from Foursquare (before they pivoted),
London Datastore and
Nominatim
to create a database capable of identifying your closest bar and the app
could even display a compass to point you in the right direction.
This React component started as a fork to improve accessibility but
turned into a fully fledged project of it's own and has since been
included in several UI frameworks and CMS tools. Peaking at 45,000
downloads a week and receiving contributions from GoDaddy, Mozilla, and
Zillow the component remains popular and in active development.
What happens when you love JSX but don't want or need to use a complex
UI framework? I built Hyperons to be the fastest JSX template renderer
whilst still supporting all of the composition and static rendering
features you'd expect. It remains the fastest JSX renderer.
This was a Ruby on Rails application I created for a friend's wedding to
collect guest's RSVPs and contact details. It utilised
Twilio and
SendGrid to enable passwordless
logins, confirmation messages, and contact with the bride and groom.
After reading about middle class city dwellers moving away from the
pandemic ridden streets in search of the good life I scraped and
combined location data for a dozen middle class haunts and adjusted for
population density to map out their potential destinations using a
Mapbox powered visualisation.