Recent submissions

Comment · 3 months ago
VibeSchema is a database schema tool with some unique strengths:

- Snapshot timeline for creating versions of your schema and comparing/diffing them

- Ease of dealing with large schemas with diagram views

- Share links (no account needed)

This URL is an example of a share link: https://vibe-schema.com/s/312qXi9Xpqhz7Q2Wub4TuWOXA0c

The free version just went live with

- Up to 100 tables per schema

- Up to 3 projects

- Up to 5 schema snapshots per project

The hope is that these free limits are sufficient to allow many users to experiment with schema ideas, share schema prototypes, store schemas and analyse diffs between schema versions.

To try out the snapshots/diffing, you can save the schema in the URL to a free account, make some changes to it, and create a snapshot.

Have done lots of bug-hunting, but if you find any bugs/anything that could use improvement, please let me know!

Comment · 5 months ago
Browser tool to get instant database schema images from DBML schemas. There's an SVG version too: change /dbml-to-png to /dbml-to-svg.

Mostly relies on the placement logic, which I'm aiming to keep improving (so if you get a bad placement, I'd be eager to know!).

It has a little DBML reference in the code panel and also a '+' button for quickly inserting tables, relations and enums.

Feedback is welcome!

Comment · 5 months ago
Browser tool to get instant database schema images from DBML schemas.

There's an SVG version too, just change the /dbml-to-png to /dbml-to-svg.

Mostly relies on the placement logic I've been working on. Should be pretty decent at this point, but if you get ugly placements on your schema, I'd love to know (contact info can be found on the bottom of the page).

Comment · 6 months ago
A paper that is somewhat related to the question of how well this works is "Do Large Language Models Know What They Don’t Know? Evaluating Epistemic Calibration via Prediction Markets"

There a model gets a prediction market scenario (that in reality has already closed, but not from the model's POV), and it is tasked to predict the outcome AND give its confidence in the prediction.

Conclusion turns out to be "systematic overconfidence across all models". Probably worth keeping an eye on such research, might enable you to make the product better over time as new research comes out etc.

Comment · 7 months ago
"The entire appeal is that it isn't "human"" - yes, part of the appeal is perhaps that the medium isn't human, but also that the message IS still human, right? And that is the combination I'm talking about.
Comment · 7 months ago
I guess the question body wasn't clear enough, because that's not what I meant. My bad if so - I just rephrased the part in parentheses to make it clearer.
Comment · 7 months ago
Maybe I could've worded it a bit better, the question is not whether forums such as HN will continue to exist, but whether/how it is possible to keep them "human", and also what appropriate definitions of that could be.
Comment · 7 months ago
I thought about this too recently. I guess documenting every consideration along the way would take way too much time (would be longer than the documentation of actual implementations), but one of these days this seems likely to change?
Comment · 7 months ago
Lol it only took 20 years

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