I grew up inspired by sci-fi. But tech in real life seemed boring by comparison. It turns out, I wasn’t looking hard enough. Over the past decade, I’ve kept a list of deep-tech companies building the future. Today, I’m sharing it so more people can explore something different
Trailblazer List includes teams working across the cutting edge, such as:
Bionaut Labs (Treating brain disorders with microbots)
Spinlaunch (Lowering the barrier to orbit with rocket catapults)
Commonwealth Fusion Systems (Building towards limitless, clean energy)
This is a living, growing project. If you have suggestions for additional companies or any comments, please reach out @ https://twitter.com/minafahmi_
Thanks for reading! I added a link to books that I found inspiring in the "Criterion" section, beside each industry. And I particularly loved Neuromancer, The Nexus Trilogy, Blade Runner, and Deus Ex.
Very nice, thanks for creating this!
Out of curiosity, I've noticed that most neurotech startups are developing minimally invasive hardware, instead of invasive.
Is there a particular reason for that? Solution efficacy, public acceptance, regulatory compliance, investor preference?
Mostly around safety and pragmatics, which leads to regulatory compliance and investor preference. Invasive hardware means implanting into the brain, potentially deep brain work. This is, risky, expensive, and requires some serious expertise.
If you can get past the low signal quality of external (non-invasive) devices, then you open up a way cheaper, way safer, avenue.
Hope that helps. Can give detail if you'd like.
source: two research degrees in neurosci, and did some almost-startups in brain-computer interface hardware.
As someone looking to tinker with this kind of thing at home, would you recommend OpenBCI? Are there any more "consumer friendly" projects out there (i.e. off the shelf) that are affordable at a hobbyist level?
hey! sorry to get back late - don't get HN notifications.
OpenBCI is a really solid start! Though, I'd suggest it's too expensive for most people to start tinkering with it. It also has/had some reaaallly basic featuring, like writing out information as txt, instead of any other signal output datatype. But that's all fine! (just unsophisticated)
Spend some time planning what you want your first project or two to be, and then get the cheapest, lowest-feature thing from there.
If you want to *really* learn some stuff, I'd suggest you focus more time on computationally processing eeg signal (you can get [an insane amount](https://sccn.ucsd.edu/~arno/fam2data/publicly_available_EEG_...) of sample data for free). What you get from hardware yourself will just have the cool-factor of being your own :)
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[ 2.6 ms ] story [ 39.6 ms ] threadTrailblazer List includes teams working across the cutting edge, such as: Bionaut Labs (Treating brain disorders with microbots) Spinlaunch (Lowering the barrier to orbit with rocket catapults) Commonwealth Fusion Systems (Building towards limitless, clean energy)
This is a living, growing project. If you have suggestions for additional companies or any comments, please reach out @ https://twitter.com/minafahmi_
ps. Thank you for sharing this list. It will present many weeks of interesting scrolling!
https://lilium.com/
If you can get past the low signal quality of external (non-invasive) devices, then you open up a way cheaper, way safer, avenue.
Hope that helps. Can give detail if you'd like.
source: two research degrees in neurosci, and did some almost-startups in brain-computer interface hardware.
OpenBCI is a really solid start! Though, I'd suggest it's too expensive for most people to start tinkering with it. It also has/had some reaaallly basic featuring, like writing out information as txt, instead of any other signal output datatype. But that's all fine! (just unsophisticated)
You can start off [way cheaper](https://www.instructables.com/Mini-Arduino-Portable-EEG-Brai...), and even make an [electrode out of a penny](https://www.youtube.com/watch?v=yglqbxYBC7Q).
Spend some time planning what you want your first project or two to be, and then get the cheapest, lowest-feature thing from there.
If you want to *really* learn some stuff, I'd suggest you focus more time on computationally processing eeg signal (you can get [an insane amount](https://sccn.ucsd.edu/~arno/fam2data/publicly_available_EEG_...) of sample data for free). What you get from hardware yourself will just have the cool-factor of being your own :)