831–840 of 1001 posts
A browsable map of internet infrastructure. Not just a collection of lookup tools, but it also interlinks results, so you can navigate linked assets as well. Think: DNS lookup -> SPF record -> mail provider's SPF record -> IP address details.
As of now You can specify those validators on a tags of your choice:
- Run a regex against a attribute's value/text node
- Min/max length a attribute
- Make a attribute required/blacklist it
- Make a whitelist/blacklist of allowed values for a attribute
It already runs pretty smoothly. Next steps are adding a way to make playlists and listen to them right there, without leaving the page. Check it out and let me know what you think! All feedback is appreciated!
However, none of the clients want to follow the development rules that I have built up, so I am trying to build my own.
The focus is on the interfaces: there's a reading view that keeps you locked in without drowning in information, and a voice mode with karaoke-style word highlighting. Also built an iOS app for research on the go, releasing that soon.
npm install -g @a2a-ai/ata https://github.com/Agents2AgentsAI/ata/
I’m working on CodeYam. We just recently released a lightweight CLI and a feature called CodeYam Memory. The immediate motivation was that when using Claude Code, the AI would repeat the same mistakes and our claude.md files would get stale too quickly to manually maintain. The existing options, including Anthropic’s built-in memory features, didn’t really solve the memory challenge sufficiently for us.
CodeYam Memory runs a background agent that reviews coding session transcripts, looks for patterns of confusion, and generates targeted rules with proper scoping.
It’s a small first step toward the longer-term idea I'm exploring: what an AI-native development experience should actually look like. For now, it’s packaged as a lightweight CLI you can use anywhere you’re running Claude Code.
How to try it:
Install: npm install -g @codeyam/codeyam-cli@latest
Then, from your project root run: codeyam
This will launch a dashboard with further instructions for initializing CodeYam Memory.
Free, runs locally, no login required, and language agnostic. Would love feedback.
More context:
Background blog post: https://open.substack.com/pub/codeyam/p/introducing-the-code...
90 sec demo on our own repo: https://youtu.be/oJ2gTb-lxbE
Demo teaching Claude a real OSS repo (Plane): https://youtu.be/CjOKBwBCcOs
Website: https://codeyam.com/
There is a wealth of data that's behind CSVs and other data formats. This uses DuckDB as a common (local) database to cache and run queries against, and enables going across datasets for insights using LLMs.
even with everyone and their mother shipping a workout app (accelerated by the vibecoding surge), nothing quite hit the bar i was looking for. everything seemed to be built in react native, flutter, or another cross-platform framework, meaning it never truly felt at home on the device.
beyond just wanting something fully native, i felt there was a real gap in the prosumer market. i wanted to build something for people who already know what they're doing in the gym, have their program, and just want a solid tool they can actually own (it's a one-time purchase of $12.99) that at the same time gives them all the insights they'd reasonably want (muscle heatmap, 1rm breakdowns with different formulas, working volume, best volume, etc.).
the app is called Plates: Weightlifting Log. if you're interested in checking it out: https://useplates.com
So you can use it to write UIs in web and use them either as regular Qt widgets or as stand-alone webapps with regular node backend.
It's really the wrong way around if you think about it.. using an inferior technology (web) for the UI part.. But somehow people prefer typing CSS and downloading gigabytes of boilerplate instead of just using a WYSIWYG designer.. I don't get that part..