Building https://canonicalschema.com/, I started with a simple CSV viewer because none of the existing online tools supported large files or provided flexible column statistics and filtering to easily understand the data. My plan is to grow it into a full application where users can more easily manipulate and analyze CSV or spreadsheet data.
I can’t try Background Agents yet because they aren’t available in Privacy Mode. I’m curious if—and how—they’ll roll this out to others, given their guarantee that no code is stored on their servers. According to their security page [1], about 50% of users have Privacy Mode enabled.
I’m also curious how this compares to OpenAI’s Codex. In my experience, running agents locally has worked better for large or complex codebases, especially since setting up the environment correctly can be tricky in those setups.
Very cool! This reminds me of a use case I explored a few years ago—customizing furniture with different fabrics, wood finishes, and design options. In physical showrooms, furniture stores can usually only display a single version of each piece, but customers often want to visualize how the same item would look in various configurations. That’s where a digital tool could really shine.
One concept I explored was creating an interactive app where users can experiment with different material options—essentially a real-time configurator. There’s a great example here [1], where if you model an object as a .obj file (possibly similar to Adam’s parametric models), you can tweak its materials and colors dynamically. IKEA seems to have something similar in production for some of their products [2].
I experimented with Adam as well, and it did a surprisingly good job. The only catch: if you try to iterate too much, it tends to alter the form of the object. My ideal version of this would involve a professional photographer capturing high-resolution images of, say, a couch. Then I’d upload them into Adam, generate realistic renders with different fabrics or finishes, and download the final variants as high-quality images to use in catalogs or ecommerce.
You don’t need to spend time learning standard data science tools. These tasks are well-defined, thoroughly documented in different blogs, and with today’s AI-driven code generation, basic programming knowledge is sufficient. Attempting to manipulate CSV data and generate visualizations in Go would be a waste of time, delivering subpar results.
I think Notion has nailed it with the new design of their table of contents [1]. The problem with the current general approach is that if a blog post is very long and you are in the middle of it, you might forget what the content was. However, having a very small item on the right that you can quickly peek at is awesome.
A really cool thing about the subreddit is they archive all the megathreads so if you want to do the old advents you can still find some discussion / hints / …
Sadly not the various help or complaint threads, or the mad lads playing up the ante, but…
Also the Incident history(https://www.issquareup.com/history) is wild in my opinion. During August there were 31 incidents, some of them lasted for hours
