My 8yo discovered my Playdate about 6 months ago and she loves it. She did crack the handle off of the crank though, so fragility might be a consideration...
We love our Playdate. Admittedly, when I first got the Playdate, it was a bit of a flash in the pan for me, possibly due in part to not having many games to try while Season 1 was trickling out. But since then, my daughter has reached the age (8) where she can really enjoy it, and that has pulled me back into it as another thing we can share together.
The achilles heel of the Playdate is screen brightness. There's an awkward sweet spot where you need to pour light onto the screen for it to be viewable but simultaneously avoid reflection from the light source. I guess for younger eyes that's less of a problem. But for me, I've had plenty of scenarios where I considered playing and then realized it was going to be impossible to comfortably set up a lighting environment.
I have clip-on lights for books. Maybe I should get one for the Playdate. Has anyone had success with that?
Thumbs up for Wispr Flow. Their iOS app was just released last week, and is an interesting addition to the product.
I needed to do an inventory of stuff in our house over the weekend, and I used Wispr Flow on iOS to take a very very long and rambly note in their app. Then the transcription text appeared on their Mac app, ready to be pasted into ChatGPT for parsing.
Wispr Flow handles languages switches quite well in my experience using it in both English and Japanese.
You mention it being scriptable, which makes sense as a CLI. Do you have any personal examples of using Lexy in a script? I'm curious about use cases outside of reading.
I'm very sorry for the delayed response. I've been busy and somehow managed to hurt myself in my shoulder today
I haven't tested Lexy within a script yet, but if you have any ideas, I'd be happy to try and make it work. One thing that comes to mind is possibly adjusting the auto-update frequency.
Excited to try this! I just started zone training a couple of weeks ago as a way to target VO2 Max increases. I’ve indeed found it hard to track time in zone across a week.
Also... this put PostHog in front of me right as I'm looking for a few things they seem to offer. The marketing-gimmick-to-thing-you-need flow was so on point it's kind of suspect.
What's the general consensus on them? Any PostHog users here that can share their impressions?
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"Congrats - you've made it into Forbes 30 under 30. You scored 5 / 8."
As is evidenced by my score, you can't just select the tech bro each time and win.
Mermaid is fantastic as a portable I/O format for LLM context. I spent some time discussing entity relationships with an LLM recently, and had it produce a Mermaid diagram to wrap up the conversation.
Once you have the diagram code, you can use that as an artifact for new LLM chats related to databases, APIs, etc.
I'm not sure what the history of mermaidchart.com specifically is, but I'm guessing it's new since the ER diagram docs are marked as "coming soon":
It is. I had a meeting this past week where we discussed a novel workflow and I was able to generate an initial based on the transcription of our discussion so far, then two quick revisions based on realtime feedback.
Though, I’ve used it to generate visuals of pipelines too and find it often takes coaching similar to any output that requires very high precision.
Another bit is that gpt4o and sonnet both seem to want to put syntax breaking parentheses in and struggle to avoid continuing to do so.
Once it’s right, though it is a valuable new context artifact to include in further problem solving on a domain.
Is there anybody creating Mermaid diagrams with LLMs, especially? I tried with Claude and R1 (ProxyAI plugin for Jetbrains) and I had to find the correct phrasing to interact with it. Does the Mermaid-blessed AI have any secret sauce or can I instruct any LLM?
Re: LLMs & diagrams - in general, diagrams and tables as info compression tool (both in the general sense as well as in the practical concrete "optimise for token / context window" sense) - e.g. today as part of request to do 'deep research' on Dwarf Fortress personality / psychology system, at a late point (preparing to relaunch with a fresh empty context window among other things) I asked GPT 4.5 to (among other diagrams) draw me a concise 'psychological data flow diagram' (I was kind of vague and was deliberately pushing for abstraction / compression) -
among (many elaborate) other things it gave me - and I liked it (NB don't trust it willy nilly w.r.t. the below of course) - (auto-indented by 2 spaces hope formatting works) =>
p.s. it chose the syntax/format itself; regardless, some time ago when asked for guidance re: how to manage sliding context window, it did suggest tables itself (user employing them for concise input - and likewise requesting tabulated/diagrammatic/schematic output).
p.p.s. (edit) many good very particular insights, if anyone's by chance interested then lmk, I'll ping once distilled interesting output is on a not-yet-extant blog (it's gonna happen finally)...
Don't mean to be blunt, but I found your comments really hard to comprehend. Something about the phrases feels atypical, almost like it's a different dialect. Curious if it's just me.
I've been organizing a weekly morning coffee session in Astoria, Queens for the last 2 (or 3?) years. The morning coffees are connected to our local tech community's series of meetups, but they aren't hyper-focused on tech and they don't have an agenda. Just a chance to meet neighbors.
It's really been beneficial for me and my family, who aren't from here, to get to know more people in the neighborhood. These days I feel like it's a rarity to go outside without bumping into someone we know.
It's also been awesome to see friendships and even collaborations form among people in the group.
I recommend people give it a shot wherever they live. And if you're in NYC, come visit!