Ask HN: What's your quarantine side project?

https://flexi.chat, a videoconferencing app where you can have a schedule and flexible speaking formats.

For example, you can have everyone in the meeting speak one after the other (the app handles muting and un-muting the right people), then repeatedly shuffle people into pairs so that everyone gets to talk 1-on-1 with everyone else. Or have a “speed-dating” style format for the first 20 minutes of your remote meetup, before bringing everyone back to the main room for the main speakers.

Barely ready to open it up yet, using it to host daily "standups" with my friends, but going to have a few friend gatherings with it later, and maybe a local meetup. The friend gathering will have the first schedule I mentioned above; have everyone speak in a circle to catch up the group on what they've been doing, then split the group into pairs (shuffling the pairs). The meetup will have the "speed-dating" + switch to main talks.

Uses Jitsi for the hard video webRTC stuff, and then nextjs with socketio for my application.

On gitlab at https://gitlab.com/amedeedabo/flexichat.

Getting back into React and ES6, and all the amazing new CSS stuff of the last 5 years!

Eventually I want to split it off so that the logic can be in its own package, to make it easy to integrate different speaking formats into different, existing apps.

We've started building a platform to help landlords and tenants come up with installment plans for missed rent and security deposit payments during C19. www.xspaced.com

N-body problem gravity simulator, in vanilla js:

https://www.thorbjorn444.com

A folding hardtail mountain bike with a mid-drive electric motor, a torque sensor, a geared rear hub, and a coaster brake. Maybe a belt too (I wish).

The e-bikes I've seen offer a small motorcycle in disguise, but what I want is a set of superman's legs, while not being a superman.

I am rebuilding the "framework" I wrote for doing my MSc dissertation on the classification of fake reviews. Now that I have the time, the code is far better organized and the higher level structure pretty clean in that I can copy a module, customize it a bit and now a different feature set can be generated. Churning out different ensembles should be fairly easy as well. And of course I'm throwing dask, mlflow and dvc into the mix...

I don't really need to do this (ought to be looking for a job...)

but now that I have quite a number of different review datasets to play with, a framework that lets me spin up 10+ processes across the 5 machines I have at my disposal will make short work of most the sets. I will need the uni's HPC cluster to deal with the Amazon dataset, though. Using dask will surely help with that.

Then it's writing yet another paper... Not being allowed to go outside is rather motivating.