Match. Harvest. Plant.
What does your project do?
Timber is the Tinder for tree-planting organizations and land-development companies. Land developers who want to sustainably develop on land that has trees on it will be matched with organizations that plant trees.
What problem does it try to solve? What was the inspiration behind the project idea?
The goal of Timber is to decrease the negative impact of deforestation. The inspiration of this app was the Girls in Tech 2019 challenge statement to use technology to educate and connect people to the natural world. Timber aims to connect land developers need to cut down trees for development purposes, but who want to develop with sustainability in mind and don't necessarily know who to turn to or how to do so.
What is your stack? What language did you program it in? What API’s did you use?
Which part was the most difficult to implement and why?
The most difficult part was simplifying the project for the time period of the hackathon so that it would cover the most important and useful feature (the matching) yet be useful to our audience of land developers and tree planters.
What are the next steps to complete the project?
Timber is not yet an app that comprehensively accounts for the complete impact of removing trees - after all, the benefits that a 100-year-old tree provides to its ecosystem is different from the benefits that a newly-planted tree supplies that same ecosystem. Therefore, the next steps include addressing how Timber can more precisely and accurately match the trees that are destined for harvesting with trees that have a similar environmental impact to the ones that will be cut down. For example, Timber would make it possible for a land developer that wishes to cut down an acre of trees ranging in age from 10-40 years old, to be matched to organizations that have already been planted trees that are of the same species and further along in their lifecycle and in the same age range. From a technical aspect, this will mean implementing advanced search and filtering criteria.