The Hobbyist

The best insight I remember reading about questions as MFA, is to consider the answer as a password. If you use a password manager, don’t feel forced to use actually true answers. The answer doesn’t have to be true, you just need to know it. Use a password manager and invent answers which you store. This is so much more secure than relying on the truth.

Edit: others mention the same thing.

@[email protected]

Perhaps of interest? I don’t know how many bots you’re facing.

I feel you are a bit out of touch when the topic is specifically enshittification and that it is based on the history of companies turning against their users, showing little good faith. It is also not something which is sparing open source projects (remember bitwarden’s attempt?). So sure, I’m not going to deny that I’m making assumptions and that I am concerned it may one day happen. But it is grounded in reality, not some tinfoil hat stuff.

Edit: and the fact that bitwarden did not eventually go through with it does not counter the fact that they intended to and tried. Sometimes companies back off and play the long game and try to be more subtle about it.

1. Tailscale has an employee who is contributing to headscale. I think this is helpful and they could decide to stop this collaboration the moment they feel it is counter productive.
2. they may decide to start adding undocumented/proprietary/“secure” elements which prevent headscale from working.

There is no guarantee headscale can keep working the way it does or that it is allowed to keep existing.

Edit: FYI headscale is not at all at feature parity with what tailscale offers.

Congrats! Amazing project, exciting interface and you went the extra mile on the integration side with third parties. Kudos!

Edit: I’ll definitely have to try it out!

Perhaps give Ramalama a try?

https://github.com/containers/ramalama

Indeed, Ollama is going a shady route. https://github.com/ggml-org/llama.cpp/pull/11016#issuecomment-2599740463

I started playing with Ramalama (the name is a mouthful) and it works great. There is one or two more steps in the setup but I’ve achieved great performance and the project is making good use of standards (OCI, jinja, unmodified llama.cpp, from what I understand).

Go and check it out, they are compatible with models from HF and Ollama too.

https://github.com/containers/ramalama

There are great app recommendations here. Perhaps not the habit tracking type, but I love FitoTrack for tracking my runs. No social, no BS, just pure local metrics. Not perfect but entirely usable and serves its purpose.

https://f-droid.org/packages/de.tadris.fitness

Edit: what I love most about all these apps is that they are so lightweight. I have so many apps today which are well above 100MB, sometimes around 500MB and I’m not talking games.

This is so outrageous to me. All of these open source apps by comparison are 10MB or less. Absolutely beautiful.