A few months ago, I had some data cleaning to do; their small model was surprisingly efficient and got the job done for 0.2x what I expected to run (Anthropic Sonnet / Haiku). Their TTS / STT is also roughly at the frontier, at least for French.
But I admit I only consider them because they're from France. Haven't seen a dimension where they're competitive for general users
- A HTML prototyping skill and a simple upload web app to share it privately with my team
- A Chrome extension to make design comments and ASCII wireframes right on the page you're working on and feed it to your AI coding tool as a prompt https://getdesignjam.com/
- An iRacing overlay to compare the telemetry of a reference lap against your live data https://flylapsim.com/
It's been a ton of fun to be able to dabble in software thanks to AI. Especially for small personal tools like these it's so powerful
Yes, that's the real strenght of it. The structure is dead simple so you just have to switch the goal metric.
I used it on a data science project to find the best rules for achieving a defined outcome. At first, for fun, then I actually used some of its insights (and it caught a sampling issue I overlooked, oops)
A lot of comments reads like a knee jerk reaction to the Twitter crowd claiming they vibe code apps making 1m$ in 2 weeks.
As a designer I'm having a lot of success vibe coding small use cases, like an alternative to lovable to prototype in my design system and share prototypes easily.
All the devs I work with use cursor, one of them (front) told me most of the code is written by AI. In the real world agentic coding is used massively
Made to Stick by Chip & Dan Heath, and Influence by Cialdini are classics for a reason. Influence in particular made it shockingly clear how our environment shapes not only our decision process, but our personality.
Haha yes HN is definitely one of the few untouched gems of the internet. Perfect for tech-related articles, less so for culture, science, politics and global news
I don't follow closely all these benchmarks but I would love to have some idea of the status of models for these specific use cases. Average intelligence is close for each mainstream models, but on writing, design, coding, search, there is still some gaps.
Even if it's not benchmark, a vibe test from a trusted professionnal with a close use case to mine would suffice.
Your point about ecosystem is true, I just switched main main provider from OpenAI to Anthropic because they continue to prove they have a good concrete vision about AI
I don't know about life-changing but to me there are two major benefits that get me really interested:
- Augmenting CLI with specific knowledge and processes: I love the ability to work on my files, but I can only call a smart generalist to do the work. With skills if I want, say, a design review, I can write the process, what I'm looking for, and design principles I want to highlight rather than the average of every blog post about UX. I created custom gems/projects before (with PDFs of all my notes), but I couldn't replicate that on CLIs.
- Great way to build your library of prompts and build on it: In my org everyone is experimenting with AI but it's hard to document and share good processes and tools. With this, the copywriters can work on a "tone of voice" skill, the UX writers can extend it with an "Interface microcopy" skill, and I can add both to my "design review" agent.
As a designer I'm following the space quite closely. In the not-so-distant future, we might skip most visual software and work directly with code. Especially if we have cool transitional solutions like this
I'm still wondering about how this approach would work when conceptualizing flows, systems, or more complex interfaces
I'm not sure about that. Reports have shown that models from China or Mistral can achieve 80% or more of OpenAI's performance for a fraction of the cost.
If you're tucked in right behind the absolute frontier models, the economics change completely
Nope, sorry. My main use case is app launch, finding settings, and some scripts. I don't use file search that much.
Small point for Flow here again, because you just have to use the prefix doc: to search through your files, whereas on Raycast, you need to set up an alias and enter the extension. Both have file preview
I'm currently trying both Raycast windows (beta) and Flow Launcher. I've never really used this kind of launcher before (just the highly frustrating Windows main search feature).
- Raycast has a nice UI that can expand to work well with extensions
- Flow is faster to use. With Raycast you often need to enter an extension to finish your action. To launch a scrip on Flow I just type "r [shortcut] -> enter" while Raycast is "quicklinks -> enter -> [shortcut] -> enter. [edit, with minimal setup using aliases, you can have similar speed. See __jonas comment below]
- Performance-wise, Raycast was often eating my RAM, but a dev mentioned it's expected in the beta, they'll fix it for the launch. Otherwise, both feel snappy
- Both seem to have enough community support and extensions
- I never really tried the AI features, I don't know if it's the right place for me to augment my workflow w/ it
Curious about the experience of others with these tools or similar ones
Feel free to reach out on Twitter if you want to chat : @adriengonin