Reforming the design + innovation industry. Co-Founder BangDesign*. Enabled $500Mn in new revenue 75000+km bicycling
Bangalore
Joined June 2007
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Vinay Rao retweeted
instagram.com/p/DezSsUYgfdm/…
I love the energy on this platform. A lot of folks are making something or the other. I do feel that things need a dash of style and that's what we bring to the table.
This is going to be like their tie up with EssilorLuxottica glasses? Eventually, Meta will want multiple manufacturers to work with their 'OS'.
🤖 scoop 🤖
Meta built a humanoid robot prototype called Max with Chinese firm Fourier in just 3 months.
Meta’s now ramping up its efforts and working on a 2nd prototype as it sees robots as a physical embodiment of Muse.
theinformation.com/articles/…
Hardware Roundup - Week 44
A lot of exciting recent consumer hardware launches.
Some notable ones are from Xreal, Alloop, Matic Robots, and Leica.
Check out the latest drops (Images belong to the brands):
NEW: Leica launches Q3 43 Formula 1 Edition.
• Carbon fiber accents, red buttons, exclusive color profile; but same sensor and lens as standard Q3 43
• F1 brand collab limited edition is justified premium for collectors;
• $9,950 vs. $7,995 standard model; roughly 25% markup for a cosmetic change
How much does F1 make from this?
Vinay Rao retweeted
Last night an AI agent performed brain surgery on a mouse.
We gave it 19 gene therapy vectors in a spreadsheet, a mouse model of epilepsy, access to a motorize surgery rig with cameras and one goal: reduce seizures.
It picked the drug. It picked the brain region. It derived the coordinates from three papers. Then it drove the stereotaxic arms into the brain and injected 250 nanolitres while watching the entry site through the rig camera for bleeding.
A licensed vet gated every irreversible step and held a physical kill switch to stop the AI agent.
Thread on what it decided, what it saw, and the moment it refused to let me override it.
[Writing this on the spot out of excitement, but I've been 18hrs in front of my laptop coding and coordinating this, so keeping it brief and descriptive, more cohesive thoughts on this soon...]
Vinay Rao retweeted
Introducing Reality-Aware Rendering in @Simulon, a completely new way to create with the real world.
Place neural assets with your phone and act out the scene. When you stop recording, Simulon renders the take, reading everything in it (what you do, what you say and the place around you), and your assets respond to all of it.
The final is regenerated from your recording: a new performance of the scene, not a copy of the footage.
Available now on iPhone. Coming to Android soon.
Vinay Rao retweeted
Surprise 1: Anthropic acquired a one-person biotech
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.
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Surprise 2: that person is me
Surprise 3: I’m here to tell you all about it
Yes, this is what you think it is; after 6 yrs of increasingly loose anonymity: the Professor Oak reveal post
…and yes, it has gotten so boring around here that I’m literally doxxing myself to spice up the timeline
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Ok, allow me to introduce myself. My name is Cody Tranbarger. I mostly tweet, but occasionally find time to dabble in drug dev & starting/building biotechs. My past lives span the VC, crossover, startup continuum; Prof Oak has been my way of keeping a digital foot in those worlds, despite having my physical feet planted elsewhere.
The past 18 mo, ‘elsewhere’ was Mithril Medicine, a co. I founded to develop bsAbs for LAMA2-CMD & other ECM-related genetic diseases.
Mithril was born out of hands-on building with @MikeNGladstone, @JasonPaulRhodes, @LifeSciVC, & team @atlasventure. Somehow, I made enough half-decent calls along the way (even a broken clock is right twice a day, eh?) to convince them Mithril/I warranted a small seed. While I can hardly rationalize such an outrageously cavalier bet, I’m grateful for it, & I'd partner with Atlas again in a heartbeat.
In typical AV fashion, Mithril’s primordial form was virtual, decentralized, & ultra-lean. This stage tends to be short-lived, but for Mithril, it worked surprisingly well, for surprisingly long, thanks in part to the rapid maturation of the AI tools I used liberally.
Eventually, Mithril became a bit of an experiment itself - to find the upper bound of how far it could scale as a single operator + a bunch of Claude (+ a stellar bench of part-time consultants).
In parallel, I started spending time with @nc_frey, @an1lam, & @CoefficientBio team; and promptly experienced, for the 1st time, AI at the frontier. Soon thereafter, Mithril stopped looking like an experiment, & started looking like a preview of an entirely new operating model.
From that spark came “Pipeline-in-a-Person.” The idea immediately resonated when we shared it here back in April; and it was central to the shared vision that led to Anthropic’s acquisition of Mithril, & my joining the team.
Why join Anthropic? Three reasons.
(1) For Mithril, the programs continue, with more resources & infrastructure behind them, and as much Claude as I can put to work.
(2) For me, the chance to start several more programs, & find out how many one person can actually run in parallel - an almost unprecedented luxury for a curious drug hunter.
(3) For our mission, a path to institutionalize & scale this new way of working, then put it in the hands of all of biopharma, all over the world - which, candidly, I find the most energizing.
Will AI x Bio cure diseases? Unequivocally yes, imo… but not by the route that gets the most airtime. Rather than timeline acceleration & compression, I see orchestration & parallelization as today's low-hanging fruit.
Most drug hunters see a handful of go/no-go calls in a career, & spend entirely too much of the rest trading emails (my inbox can attest).
Give them the bandwidth to run several programs at once, and the time to focus on scientific judgment, and I’m willing to bet they’ll make better calls. And at scale, better calls translate to more drugs, higher hit rates, broader patient impact, & likely, a disease or 10 or 100 cured. I couldn't be more excited to build toward that future @AnthropicAI.
Finally, a heartfelt thank you to BioTwitter/X. The end of anonymity is bittersweet, but if anyone’s earned a proper introduction, you all have.
It’s difficult to overstate how much this app has done for me: a decade of education, plenty of friends, many job opportunities, several mentors, a few investors, even a co-founder (fmr). It was the generosity of this community that inspired me to start posting 6 years ago, after just as many years lurking. I hope I’ve been able to pay it forward, in my own small way.
But, to be clear, Prof Oak isn’t going anywhere. Same beat, same themes, and now, a front-row seat to drug development at the frontier. Stay tuned for dispatches from the trenches; and remember...
Gotta Cure 'Em All
In a not too distant future, this will be a lightweight electromechanical contraption that effects a certified probe. At home. Paired with a phone.
If anyone is trying to build this into a real product, we have ideas on one part (not imaging).
Now we know robots can take blood samples safely, but can you imagine a robot performing an ultrasound exam?
A study just proved that it is possible.
The authors developed an autonomous lightweight ultrasound robot comprising an AI agent that integrates multimodal perception with memory attention.
"Our robot can autonomously acquire expert-level standard liver ultrasound planes and detect pathology in patients...
Our system performs effectively on rapid-motion individuals and in wilderness environments. This work represents the first demonstration of autonomous sonography across multiple challenging scenarios, potentially transforming access to expert-level diagnostics in underserved regions."
It is designed for now for regions with limited medical resources. So your next ultrasound sonographer will not fly into the room as a robot anytime soon.
The study: nature.com/articles/s41467-0…
Are professional Mechanical Engineers shifting platforms to this (or many others like it)?
🚨 WHAT IF YOUR AI AGENT COULD DESIGN REAL 3D PARTS?
Meet SolidCraft.
An open-source parametric CAD app built entirely in Rust.
And yes, AI agents can use it.
Here’s what makes it interesting:
→ Sketch and build 3D solids.
→ Change dimensions and rebuild the entire model.
→ Create holes, threads, fillets, patterns, and assemblies.
→ Design sheet-metal parts and plastic enclosures.
→ Export formats like STEP, STL, and 3MF.
→ Let AI agents create models through a built-in MCP server.
The wild part?
You can use it on your desktop, in your browser, or through a command-line interface.
So an AI agent can do more than generate a pretty 3D image.
It can work with editable CAD geometry and a parametric feature timeline.
The project reports that 75 of 76 public reference parts match their expected geometric measurements.
It’s still early, but this is a fascinating step toward AI-assisted engineering.
Explore SolidCraft 👇
github.com/tangency-labs/sol…
#AI #CAD #OpenSource #3DModeling
Bespoke intelligent products are coming. Stock PCBs. Custom/OSS firmware. Custom 3D print industrial design. At some point, this will come for wearables too.
about to ship the first batch of wedgies
DIY off-the-shelf hardware wallet
signs on a gnosis safe
build your own or order one today
wedgie.dev
Nice. Had no idea JLC had added CNC Sheet Metal to their online-first services.
”Just make it look like the 3D model.” Famous last words. 😅
For sheet metal parts, unclear dimensions can turn manufacturing into a guessing game.
Need a hole in the right spot after bending? Make sure your drawing clearly defines the critical dimensions, tolerances, and reference datums.
Your CAD model shows the shape. Your engineering drawing makes the critical requirements explicit.
Less guessing. Fewer surprises. Better-fitting parts.
#SheetMetalDesign #EngineeringDrawings #DFM #MechanicalEngineering
"reportedly" is such good teaser marketing.
Deepinder Goyal’s Temple brain-monitoring wearable is reportedly priced at ₹85,000, including a lifetime subscription, with pre-orders opening on November 1, 2026. The device tracks changes in cerebral blood flow and generates an Entropy score to indicate physiological strain.
livemint.com/technology/tech…
If you're a manufacturer, this is one future of design.
Crowdsource choices for AI generated concepts.
DFM the selected one.
Produce.
For brands, it is an entirely different ball game.
We’re starting smoothie blenders!
Perfect product for us, plastic with AC motor, can easily Indianise 100%
Need your help in coming up with some design ideas.
Which of these look best, and what’s the direction to go? Reply 1, 2, 3 or 4 and give your inputs.
If you’ve seen any other great designs please share.
We want to get this right from the get go, and there is no better audience than you to help us do that.
CHN folks need low activation energy. No inertia to start something new.
Helps that the margin for error is larger in a larger economy.
India activation energy is higher because of exogenous reasons.
Why is China better than India in manufactuing?
Because they are ready to fail.
They try 5 things, fail at 4, and move on.
We’re still discussing whether the first one is worth trying.
In China, opening a new mould is almost routine.
They already have the motors, components, and supply chains.
Change the outer shell, and they have a new product.
No 6-month planning cycle.
They know most bets won’t work.
One winner can pay for all the failures.
At Topsail, we’ve learned this the hard way too.
By the time our mould is ready, Chinese manufacturers have moved on.
Buyers tell us: “Your model is outdated.”
So we’ve changed how we approach tooling.
Unless it’s a timeless classic, we’d rather invest in a product we believe will sell tomorrow than spend months building what everyone wants today.
Will some bets fail? Absolutely.
But we’d rather risk building a product nobody wants than build a product everyone wanted six months ago.
That’s how we plan to close the gap with China.
Not by playing it safe - by moving faster.
"But you're making products. How is that changing the world?".
Tim Cook's take on why competitors can't copy Apple is sharper than most people realize.
They start by copying the product. Then they realize the product isn't the hard part.
Cook said it directly: people who try to copy Apple first try to copy what they can see. The hardware. The design. The packaging. And they can get close on all of it.
But the thing that made the product — the organizational culture, the decision-making, the obsessive prioritization — that's invisible from the outside. You can't find it in a teardown.
This is why Apple's moat has held for decades while better-funded competitors kept losing. Samsung had more SKUs. Google had more engineers. Amazon had more distribution. None of it translated into the same output because none of it replicated the same input.
The lesson for founders is uncomfortable: if your competitive advantage is visible in your product, it's already copyable. The real moat is the culture that makes the product — and that takes decades to build, not quarters.
Reverse-engineering the iPhone is an engineering problem. Reverse-engineering how Apple decides what to build is a different problem entirely.