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I think you're underweighting the Pelican test.

Not only does it give you a super easy-to-grok understanding of the model quality just by looking at the image, but when you compare tokens and costs (both input and output), you really get a good, simple COST x QUALITY evaluation across models.

Simon explains it well: https://simonwillison.net/2026/Jul/16/kimi-k3/#what-can-we-l...

Simon, you should put up a summary table page that you update after every release.


Still no 256GB or 512GB Studio models at any price. 96 is the max for any Studio configuration on apple.com right now.


I suspect this is because the next models are more imminent. Not imminent per se, but Apple doesn't want to be left holding the bag on most of a factory run of 512GB Studios.


Absolutely no point selling those now with the M5 or M6 coming up.


I built an iOS app for my sons who play club basketball. It’s designed to bridge the gap between practicing solo on the court and the pressure of playing in a game.

It uses mechanics and body movement, via visual detection through the cameras, to identify when you’re about to take a shot or make a pass.

It then pumps distracting noises (honks, cheers, jeers, etc.) into the headphones to try to distract you. It also runs a continuous 24-second clock so you build a natural sense of how much time is left before you need to get a shot off.

I'm looking for more people to join the test flight: https://clutchshot.app/


Building Basil (https://basilai.app), a privacy-first AI executive assistant / note taker. Everything is on-device: transcription, summarization, etc. So nothing is shared with any model provider.

Lately the interesting work has been less about raw transcription and more about making the output actually useful: recurring workflows, follow-ups, and personalized summaries that fit how someone runs their day. We are also pushing more toward reliable agent automation instead of one-off chat. And dealing with all the iOS limitations on background work.

Still early.


Building a voice recorder/transcription/summarization app where everything runs on-device. No cloud, no uploads, no servers processing your audio.

Started with a web version using WebAssembly Whisper to validate the idea. Worked well enough to prove demand, but browser sandbox limits (no background recording, inconsistent model performance) pushed me to go native.

Rebuilt as an iOS/macOS app with CoreML. Apple Silicon handles Whisper-class models locally without issues, but its confined to recent devices.

I'm working on e2ee sync between web and mobile. I want to build a simplenotes but for audio transcription.

Try the web version at: https://basilai.app/app


My experience share only supporting the latest OS:

I have launched apps focused on a new feature in the latest OS and regretted it. The # of people who have the latest OS is much smaller than the full install base for much longer than I thought. As a result, my marketing conversion was unnaturally low - people who liked the app idea but couldn't install because they had the wrong OS. This causes two problems: potential users I activated but couldn't convert and this signal gets internalized by the App Store, pushing down future impressions.

Now I always have a fallback implementation of the feature so I can target the prior OS. Both Mac and iOS.


As a side project, I just launched a privacy-first web-based meeting transcriber (https://basilai.app/app). Everything runs entirely in your browser — both the transcription and AI summarization — so no audio or text ever leaves your device.

I'm using the browser built in transcription service plus downloading a model and running it via webgpu. No login. At the end of your meeting, you get a zip file with the audio, transcript and summary.


I'm a big fan of digitpain (Jeffrey Scudder) and it is great to see him get airtime here. The tl/dr for Jeffrey is he make digital art, but first he makes his own digital tools to make that artwork.

For those that are new to him, be sure to browse to the top level (https://aesthetic.computer) and play around in the 'terminal'.

If you have a VR device, view Freaky Flowers in it.


The feature I like the most in your demo: the one page checkout. It comes very close to shopify's excellent check out. Nicely done!

WooCommerce should be filling the role of viable self host alternative to Shopify, but it falls short. Even with the plugin ecosystem, it is much harder to run an quality cart and checkout.

Congrats on your launch!


Yes! One-page checkout has been, and continues to be, one of our top priorities. There are still a few minor improvements to be made, but I’m really happy with how smooth the experience is rihgt now.

Have you tried it with Stripe Link? This reduces the entire checkout process to just four (4) clicks; no need to fill out forms as long as your details have been saved from a previous purchase elsewhere on the Internet.

Thank you for the kind words!


> WooCommerce should be filling the role of viable self host alternative to Shopify, but it falls short.

WooCommerce itself is mostly fine as a backend, but the themes for it (including the built-in/free ones) are mostly awful. Ugly layouts, huge bloated payloads, and checkouts that look so unprofessional most people will think they're fraudulent.

There are good themes out there but you'll be paying decent money for them.


I completely agree with you on WooCommerce themes.

we're also working on themes, which will be based on shadcn UI.


The little link to show full cart when adding something is another nice touch.


It looks like you still have rrweb running. Have you tried removing that?


I've readded it since removing it entirely because I haven't got anywhere with Google


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