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Arc
Train to Gain Energy & Avoid Brain Fog | Pavel Ts...
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The big one Pavel emphasized was staying fresh—mentally and physically. He found that low-rep, non-exhaustive lifting (like singles and doubles) actually had a clearing, energizing effect on the mind, especially when you stop well before fatigue sets in.
Basically: short, heavy, crisp sets = more brain, less fog.
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GPT 4o
Superhuman
👋 Head of Product
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GPT 4.1
Cursor
preprocess.py — Neuma
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Selected "def run_inference(model, config, data..."
Yeah the preprocessor setup is clean—I’d maybe just restructure it a bit for clarity and make it easier to test in isolation. Something like:
# Preprocess the data
emg_preprocessed = emg_preprocessor.process(emg_data).numpy()
imu_preprocessed = imu_preprocessor.process(imu_data).numpy()
Just makes your main function tighter and unit-testable. But honestly, you're already in good shape.
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Sonnet 4
Figma
Paradigm Redesigns
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Honestly, I like how clean and organized it is—feels efficient and easy to scan. But if you want it to feel a bit warmer (less spreadsheet-y), tossing in a few icons or a touch of color in the headers might make it pop more.
What do you think—is speed or vibe more important to you here?
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GPT 4.1
Notion
Industrial Design Concept
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The constraints make sense—they guide creativity without killing it. Prioritizing hardware and fit (P0) is smart, and keeping manufacturability at P2 works if the visuals stay grounded. But if this needs to be built—even as a mockup—that might be risky. Might be worth quietly treating manufacturability as a P1 to keep things tethered to reality.
You thinking of tweaking any of them or feeling like something’s missing from the current set?
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Sonnet 4
Slack
industrial-design (Channel) - Coral - Slack
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You could say something like:
"Totally hear you on 02 and 04—those stood out to me too. Gradient transparency could be dope, but might be tricky to pull off cleanly—worth exploring if it fits the CMF direction though."
Then maybe ask something back to keep the convo going, like:
"Are you thinking transparency just for visual pop, or to show internal components?"
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GPT 4.1
Linear
APL-100 - Redesign Mechanical Prototype
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Given your project requirement, I'd recommend keeping the flex + coax test, boom angle correction, and board/housing mount—those are the backbone.
But you can drop flex tape wrapping, padding, stealth ball joint tweaks for now—comfort tuning comes after core mechanics work.
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GPT 4.1