On this May Day 2026, I'm incredibly grateful for all of the warm and kind people in my community that have supported my work and the dream of accessible, safe, and inclusive digital spaces by and for communities.
137 people participated in the first round of the Community Technology Survey, and 80 of you managed to get all the way to the end! For a short 35 day run, that's more than I could have ever expected! Thank you! All of the small acts of support add up, and it shows that everyone has something valuable to contribute.
We are Better Together, and we can accomplish incredible things with the audacity to dream of a better and more just world and the dogged determination to not give up until it's a reality!
Part 1 of the Community Technology Survey Report is now available to read.
This quantitative segment of the survey data was prepared with the support of my rusty social science (B.A. Anthropology & Geography, minor GIS -- McGill University 2015) quantitative and qualitative research skills, our Borgberry Community Compute AI harness (more on that subject later), the local self-hosted Ollama model running on our 8 GB VRAM GPU, and the Claude Code CLI tooling that helped me plan and orchestrate the operation of the scripts.
I still have some work to do to prepare the Part 2 Qualitative segment of the report, but I will update again once it's ready.
Community Engine members will soon be able to leave feedback on the report directly within the platform (comments, structured feedback), but folks are welcome to reach out and let us know what you think of the report findings at our contact page.
137 people participated in the first round of the Community Technology Survey, and 80 of you managed to get all the way to the end! For a short 35 day run, that's more than I could have ever expected! Thank you! All of the small acts of support add up, and it shows that everyone has something valuable to contribute.
We are Better Together, and we can accomplish incredible things with the audacity to dream of a better and more just world and the dogged determination to not give up until it's a reality!
Part 1 of the Community Technology Survey Report is now available to read.
This quantitative segment of the survey data was prepared with the support of my rusty social science (B.A. Anthropology & Geography, minor GIS -- McGill University 2015) quantitative and qualitative research skills, our Borgberry Community Compute AI harness (more on that subject later), the local self-hosted Ollama model running on our 8 GB VRAM GPU, and the Claude Code CLI tooling that helped me plan and orchestrate the operation of the scripts.
I still have some work to do to prepare the Part 2 Qualitative segment of the report, but I will update again once it's ready.
Community Engine members will soon be able to leave feedback on the report directly within the platform (comments, structured feedback), but folks are welcome to reach out and let us know what you think of the report findings at our contact page.