The Dev Nest

Welcome to the developer site for Buy It Like You Mean It.

Recent Activity

• Wiki: recent changes, timeline
• Code: revision log
• Planning: project manager (help) - the guest account's username and password are both guest in lower case.

Core

• Concept Documentation
• Code Documentation (epydoc API)
• Data Documentation
• REST Web API

Apps

• BILUMI's deployed app (live)
• Consumer Gadget Collaboration (collaboration)
• SMS/email Interface - user guide, developer guide, epydoc API (demo)
• Quickrate - architecture, Iphone Game (idea)
• News Aggregator (idea)
• AccountAbility (demo)
• Greasemonkey? scripts for contributing and getting information while browsing news and ecommerce sites

Wiki Pages

• Installation
• FAQ
• Images and Graphics
• Credits and Attribution
• Research Guide
• Chocolate Research Notes
• Processing Setup on Eclipse
• Product Server Notes
• Bilumi's Template Tags
• Forms
• pages?
• HierarchyOfInterests?
• Tests? - admin page, integrity checks etc.
• Adding data using internal API?
• Evolutions
• ActionsAndStates Actions and States - object creation, editing and deleting
• Proposed Features
• Server Maintenance
• User Pages
• Recent Activity and Announcements? - fading in and out at top of pages
• Admin Pages? - including user and admin impact, state view, and dangerous actions
• Contacts? - hidden from users
• App Brainstorm
• post_syncdb Install - data initialization

Get Involved

Email us: dev-flock@….

Our Mission

BuyItLikeYouMeanIt provides individuals with access to trusted, collaborative, and customizable tools that support research and communication about the real world impact of purchasing various goods and services.

ThoughtAndMemory is a non-profit, open source project.

About

We are building a community-driven web and mobile application where users can research, analyze and rate company practices such as product manufacturing and transportation processes, employee and labor interactions, environmental impacts, political contributions, etc. Arguments that are logical and backed up by credible sources filter upwards in visibility, forming a trust-worthy platform on top of which user assign products and companies numerical ratings.

This information can be queried by shoppers at the point of sale so that they may make more informed purchasing decisions. Shoppers can personalize the ratings they receive by creating a profile that specifies how much interest they have in each kind of rated behavior, as well as whether a company's rating should be aggregated over its parent companies.

View the deployed application.