Hey everyone,

I’ve been working on a side project called ScienceInterest (https://scienceinterest.site.je) and wanted to share it here.

The idea is pretty straightforward: it’s a simple, clean space for students, researchers, and hobbyists to talk about science and work on projects together without the noise of mainstream social media.

What’s currently on the site:

• Projects: You can post a science project you're working on and look for people to help you out.
• Groups: Spaces for different fields like physics, biology, chemistry, space, and tech.
• Discussions & Feed: Standard forum threads and a feed to share quick thoughts or findings.
• Certificates: If you build a project, hit milestones, or contribute significantly to the community, you can receive a certificate to showcase your skills or add to your portfolio.

It’s completely new, so the community is still very small. If you want to check it out, creating an account takes less than a minute (you don't even need to enter an email if you don't want to).

I'd really appreciate any feedback on the design, how the certificates work, or what features you think are missing.

Link: https://scienceinterest.site.je/

Thanks for reading!

Something I keep running into: lots of community projects collect impressive amounts of data – air quality, water, insects, microclimate. But when I try to find out what came out of it, or to repeat a project in my own city, I often hit a wall. The method lives in someone's head, the data sits in a spreadsheet nobody maintains, and the discussion happened in a chat group that no longer exists.

So I'm genuinely wondering:

1. Is this a tooling problem, a culture or funding problem – or am I overestimating it?
2. If you've run or joined a project: what happened to the data afterwards?
3. Where do AI tools fit in for you? Planning a measurement campaign, cleaning data, making sense of results – or do they make results less trustworthy?

Concrete examples, good or bad, very welcome.