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Dad of 2 girls, freelance iOS & visionOS engineer, senior vibe coder, principal coding agent manager
The Analyst
Nate Chan is a seasoned freelance iOS and visionOS engineer with a sharp eye for technology trends and performance insights. As a 'senior vibe coder' and principal coding agent manager, he dissects tech details with precision, delivering data-driven observations to his engaged audience. He is the go-to source for deep dives into emerging AR and AI tech, especially from a developer's perspective.
Nateās tweets are so packed with tech specs and developer jargon that casual tech fans might need a Rosetta Stone just to keep up ā itās like heās coding with words instead of keys. Hopefully, those girls are decoding dadās tech speeches better than most of us can!
Nateās biggest win is his viral Simpsons prediction tweet, which racked up over 8 million views and tens of thousands of likes, cementing his status as both a tech guru and a master of riding the cultural zeitgeist with perfectly timed, witty commentary.
Nate's life purpose is to bridge the gap between cutting-edge technology and practical developer-centric solutions, helping the AR and iOS community innovate faster and smarter. He thrives on uncovering inefficiencies in current tech and inspiring improvements through careful, hands-on testing and analysis.
Nate values transparency, technical rigor, and user experience excellence. He believes that powerful tech should be accessible without hidden subscriptions or compromises on performance and that developers deserve the tools and data necessary to push boundaries with confidence.
Nate's strengths lie in his meticulous, evidence-based approach to tech analysis and his ability to communicate complex technical issues clearly to a broad audience. His hands-on testing and industry connections give him credibility that keeps his followers hooked.
His deep focus on nitty-gritty technical details sometimes limits his appeal to broader audiences who might prefer more high-level or entertaining content. Plus, his intense technical critiques can occasionally sound a bit too blunt or niche.
To grow his audience on X, Nate should blend his deep technical insights with more approachable, story-driven content about how tech impacts everyday users, especially parents like himself. Collaborating with popular tech influencers or demoing āday-in-the-lifeā uses of emerging AR gadgets could widen his reach and engagement.
Fun fact: Nate has personally tested the Vision Pro's image tracking capabilities at the Developer Lab and confirmed its lag issues, making him one of the few developers to have insider data on Apple's AR hardware performance before public release.
Top tweets of Nate Chan
As nice as this feature is on Vision Pro, the lag between the augmented panel following the physical keyboard shows how poor the image tracking frame rate is for ARKit on visionOS. I confirmed this in the Developer Lab with a Vision Pro Engineer a few months ago ā he said we should expect ~1 frame per second (seemingly far worse than this video). I also confirmed that it really is right around 1fps by running a test image tracking project myself at the lab ā it felt incredibly laggy and choppy tracking a well-embellished business card I brought. For reference, you can get up to 60fps in ARKit for iOS, and it can feel incredibly smooth. Hopefully we see improvements soon with visionOS image tracking so that developers can start building image tracking experiences on objects that are expected to move. Itāll unlock many new categories of Vision Pro use cases. Some imagined examples in the š§µ below that are all possible and prototyped on iOS. (video from @steveriggins@mastodon.social)
Lex Fridman podcast one year ago: @lexfridman: āWhat does the future for Andrej Karpathy hold?ā @karpathy: āThe consistent thing Iāve been always interested in is AI ā thatās probably what Iām spending the rest of my life on. I also care about many other problems, like aging, which I basically view as disease. But I donāt think itās a good idea to go after it specifically. I donāt think humans will be able to come up with the answer [to aging/disease]. I think the correct thing to do is to ignore those problems and solve AI, and then use AI to solve everything else.ā youtu.be/cdiD-9MMpb0
Just played with all the best AI cloud dev environments (@Replit, @v0, bolt.new, @lovable_dev), and built & deployed a portfolio website and some parenting apps that I'll use with my kids. tl;dr: @v0 > bolt.new > @Replit > @lovable_dev Some takeaways: @v0: Chat interface is really good, I like how it's a single click to paste build error messages straight back into the chat for v0 to fix. Integrating with Supabase was really seamless. Made some mistakes, but was able to adjust and fix almost every time. Wish there was better integration with Vercel and Github, but it's seemingly getting there. bolt.new: I'd say the best at one-shotting simple app ideas. Made fewer mistakes, but started to struggle once the app got more complex. Might be the best option if you're just trying to spin up a landing page. @Replit: UI is too complicated and honestly didn't get too far with using it. It did really poorly with initial implementations of ideas, and then the UI was just far too complex for me to bother navigating. I'd bet it's good once you break some familiarity barrier and work on building more complex apps, but then you might as well just use @cursor_ai (assuming you know how to code). I'll give this a second chance some day, cuz I think there's potential. @lovable_dev: Pretty bad all around. Couldn't one-shot simple ideas and struggled at every point while hitting constant build issues. I would skip using this entirely. Super early thoughts and I'll A/B test them all more as I have new ideas, but @v0 is the clear winner so far.
Lex Fridman podcast 3 years ago: @lexfridman: "Do you think an AGI system should have consciousness? Whatever the heck you think consciousness is..." @ilyasut: "Hard question to answer... I think it's definitely possible that our systems will be conscious." "The ideal world I'd like to imagine is one where humanity are like the board members of a company where the AGI is the CEO." @lexfridman: "And the board members could fire the CEO." @ilyasut: "Essentially. Press the reset button. Rerandomize the parameters." @lexfridman: "Do you think it'll always be possible to press the reset button?" @ilyasut: "It's definitely possible to build AI systems which will want to be controlled by their humans." youtube.com/watch?v=13CZPWā¦
Most engaged tweets of Nate Chan
As nice as this feature is on Vision Pro, the lag between the augmented panel following the physical keyboard shows how poor the image tracking frame rate is for ARKit on visionOS. I confirmed this in the Developer Lab with a Vision Pro Engineer a few months ago ā he said we should expect ~1 frame per second (seemingly far worse than this video). I also confirmed that it really is right around 1fps by running a test image tracking project myself at the lab ā it felt incredibly laggy and choppy tracking a well-embellished business card I brought. For reference, you can get up to 60fps in ARKit for iOS, and it can feel incredibly smooth. Hopefully we see improvements soon with visionOS image tracking so that developers can start building image tracking experiences on objects that are expected to move. Itāll unlock many new categories of Vision Pro use cases. Some imagined examples in the š§µ below that are all possible and prototyped on iOS. (video from @steveriggins@mastodon.social)
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