Did Asimov’s idea of AI revolve around data retrieval? I’ve read that even human intelligence isn’t necessarily remembering things, but being able to traverse our knowledge and find that idea or thought quickly.
Enshittification has come for VC backed open-source. AI has deemed commercial open source obsolete especially when users can point Calude Code to calcom on GitHub and ask it to make them scheduling features directly into their product. That’s what spooked Cal.
We’d hope but they could neuter Cal.diy over time. From their chart between the differences of cal.diy and cal.com, teams are not supported. I’m self hosting Cal.com and I think I do have access to teams as of right now.
Enshittification has come for VC backed open-source. As someone on Twittter said, open source has deemed commercial open source obsolete especially when users can point Calude Code to calcom on GitHub and ask it to make them scheduling features directly into their product. That’s what spooked Cal.
I’m building an open source SaaS for every vertical. I’m targeting e-commerce, restaurants, gyms, hotels, grocery stores. I want to leverage these systems to build an interoperable marketplace for each vertical. I launched a Shopify alternative in December and the Toast one is almost ready. Gyms, Hotels, and Grocery stores ones are in the works.
The hype around OpenClaw is a bit confusing but I think I figured it out. For most coders, Claude Code in the terminal was an important event. Letting it access code and change files directly. For normal users, they didn’t see the power is that.
OpenClaw runs Pi in a terminal and exposes the chat thru Telegram or any chatting app. This gave the ah-ha moment to non-coders that coders had had for 6+ months prior.
I'm confused about it as well. I've installed OC locally and also on a VM. I don't get it so far. But then again, I'm not willing to give it all of my passwords which is probably why I'm not seeing much value. It isn't just non-coders that see OC as a game changer however.
I just don't have the bandwidth to run another project, maintaining Handy is hard enough on it's own, especially for free!
I didn't just dismiss for no reason, I am a human! I have needs and I can't just sleeplessly stay in front of the computer putting out code. If I had more time I would, but alas.
Someone could easily vibe code an iOS version in a few hours. I could do the same but I do not have time to support it.
It has all the usual features, plus you can add project specific vocabulary in your repo. It detects the working folder based on the active window, reads a WORDBIRD.md file in that folder and corrects terms accordingly.
Awesome, thanks. Now it looks like five features are table stakes and there's no need to filter for, for example, speech to text. So, it would be interesting to see the differentiation, the why would I choose which one.
I see promise trying to get a bit more into curating by showing the top one or two or three picks for a given standout feature.
So... a vibe slop index to keep track of all the vibe slop apps?
The cherry on top: it’s completely broken! Enable the Context Awareness filter, the list shrinks. Now enable the Auto-pasting filter, the list grows back.
I wouldn't call it completely broken; Pressing buttons still does something, it looks like an OR filter instead of an AND. It should be updated to be an AND filter as that's more intuitive.
If you squint, it looks kinda maybe superficially useful? But if you actually critically look at it, it makes no sense.
The categories are clearly LLM generated from the GhostPepper codebase, with vague low level descriptions and links to code. Most categories apply to every listed project.
The UI is the same tiny bit of LLM generated information displayed five different confusing ways. Like seriously, click on a project and you first see a bunch of haphazard feature cards, then a bunch of “feature ... active” rows. Looks fancy, but actually just noise. Textbook slop.
Better would be a simple awesome-style markdown page, with a feature matrix having categories and descriptions curated by a human that actually understands and cares about the domain.
Sorry if this is harsh, but passing off LLM output as “curation” is particularly insulting to me.
That's one thing I'm loving about AI adoption and everyone vibe coding, the importance of open-source. When I was learning how to code, it blew my mind when I realized proprietary companies were built on the shoulders of great open-source projects. These provide a nice UI/UX and the marketing, but AI coding is making that less and less of a moat.
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