If an Indian startup/defense firm wants to build rocket engines/satellite parts/surgical implants/advanced drone components, they need sub-micron precision metal parts made from heavy-duty alloys like Titanium & Inconel.
Historically, the ultra-precise 5-axis CNC machines required to carve these complex 3D parts had to be imported from countries like Germany/Japan/Switzerland at astronomical costs. To make matters worse, foreign suppliers face tight export controls on high-precision machining tech due to its dual-use potential in defense/missiles.
India had the engineering talent to design hardware, but was held back by a reliance on imported tooling & machining infrastructure.
A not so known startup Ethereal Machines is doing genuinely game-changing work for Indian deeptech & manufacturing, operating in a sector that rarely gets flashy headline attention compared to consumer tech.
Founded by Kaushik Mudda & Navin Jain out of RVCE in BLR, they hit on a fundamental bottleneck that was quietly crippling India’s hardware, aerospace & defense ecosystem.
Instead of just buying machines, Ethereal built their own multi-axis CNC machines from the ground up in India including their proprietary hardware, mechanics & complex CNC controller software. 🙏🙏
They built flagship proprietary machines like Halo, Aura & Nimbus that deliver sub 10 micron precision allowing intricate metal geometries to be carved in a single setup w/o manually repositioning the raw block.
Their early breakthrough was combining 3D printing (adding material) & multi-axis CNC milling (carving material away) into a single machine platform.
Instead of just selling machines, they run a massive 50K+ sq ft Smart Factory in Peenya, BLR operating 24/7. Startups in spacetech, drone tech, semiconductor equipment & medical devices can upload CAD designs & get aerospace-grade precision components delivered in days instead of months, cutting customer lead times by ~40%.
They became the 1st Indian company to win a CES "Best of Innovation" Award in Las Vegas for their hybrid manufacturing tech.
By controlling both the hardware & the software behind multi-axis machining, they give India's spacetech & defense ecosystem a local manufacturing fallback that cannot be disrupted by global supply chain shocks/export bans.
Top-tier deeptech investors like Peak XV Partners, Blume Ventures & Avataar Ventures backed them with major Series A & B funding rounds to set up a massive 300K sq. ft. mega-factory outside BLR.
Most people think of "Indian tech" as SaaS apps/fintech/q-com, Ethereal Machines is doing the heavy, unglamorous lifting, building the physical machine tools required to manufacture the rockets, drones, medical implants & chips of tomorrow right inside India. 🙏🙏
Someone turned Claude into an entire company.
42 skills, organised like a real org chart (links below):
Here is every department, and where to get each one.
Developers
Superpowers → https://t.co/lyox67rdvQ
Context7 → https://t.co/5xECKhU2aq
Skill Creator → https://t.co/7SpnAD7Uu2
MCP Builder → https://t.co/7SpnAD7Uu2
Webapp Testing → https://t.co/7SpnAD7Uu2
Claude-Mem → https://t.co/XdDKFvJjcI
Designers
UI UX Pro Max → https://t.co/GAZHpNAkQP
Taste → https://t.co/1kgVWd7ZSg
Frontend Design → https://t.co/1kgVWd7ZSg
Transitions → https://t.co/BUOuPcEOMG
Web Artifacts → https://t.co/7SpnAD7Uu2
Brand Guidelines → https://t.co/7SpnAD7Uu2
Marketing
45 skills to run your marketing, from copywriting to SEO to lead magnets.
Access them all here → https://t.co/mIm9wtM6xq
Social Media
17 skills to run your social media, from post writing to Reels to thumbnails.
Access them all here → https://t.co/2ilz48kWWH
Finance
8 skills to run your finances, from statements to reconciliation to audits.
Access them all here → https://t.co/VAseAigjM6
Small Business
31 skills to run your small business, from cash flow to payroll to invoicing.
Access them all here → https://t.co/MRelh0y7Pb
Legal
9 skills to handle your legal work, from contract review to NDAs to compliance.
Access them all here → https://t.co/YAPUBLQ3PO
Every skill on the chart is real and installable from the links above.
Same departments. Same output. No payroll.
Bookmark this.
She literally showed how she uses adversarial agents in Claude Code to win hackathons and ship features:
2:47 - How she won her hackathon
4:30 - The 5-layer Claude stack
7:17 - Which model to actually use
9:55 - Chat vs Desktop vs Chrome
14:43 - Cowork automations
26:18 - Skills that beat prompts
34:28 - The AI chief of staff build
59:24 - MCPs every PM needs
1:02:16 - Claude Design is here
1:08:53 - Adversarial agents, live
1:13:01 - The new AI builder role
1:15:57 - The 2026 AI PM interview
1:29:06 - Self-improving product loop
A good meeting with EU Commissioner for Startups, Research and Innovation @EZaharievaEU today.
Discussed opportunities for research in clean and green energy technologies, innovation hubs, startups and association with Horizon Europe.
🇮🇳 🇪🇺
Grit ≠ Talent.
After two decades of research, we know that the correlation between grit and any measure of talent is about zero.
It's passion and perseverance that make super achievers.
AI data centers are running into a problem that better chips alone cannot solve.
They are running out of power, land, and cooling capacity.
Panthalassa believes the solution may not be on land at all.
The startup has reportedly raised $140 million to build Ocean-3: autonomous AI data centers floating in the open ocean.
Not on ships.
Not connected to the coast.
And not dependent on the power grid.
The concept uses massive floating steel structures that move with ocean waves. That motion powers an internal turbine, generating electricity directly at sea.
The surrounding cold seawater helps cool the computing infrastructure, removing one of the biggest operational challenges faced by traditional data centers.
The entire system is designed to operate without an onboard crew or physical cables connecting it to land. Computation happens offshore, while the results are transmitted back through satellites.
Backed by Peter Thiel, Panthalassa is reportedly approaching a valuation of $1 billion.
It is an ambitious response to a growing infrastructure bottleneck.
As AI demand accelerates, land-based data centers are facing tighter grid capacity, limited space, and increasing cooling requirements.
Panthalassa’s answer is simple, but radical:
Stop searching for more land.
Start building on the ocean.
Could offshore infrastructure become a practical long-term solution for powering and cooling AI data centers?
I like @kunalb11 for his product thinking. He makes it way easier for anyone to assess a startup idea. WA is already a great product. Hopefully it will become even better under him.
Kannada has almost no business podcast culture. No one was telling entrepreneur stories in our own language.
So we built it anyway with @mundhebanni
10 months. 25 episodes. 28 guests.
3M+ views. 450K+ hours watched. 50K+ subscribers.
All in Kannada - an earnest effort of purposeful storytelling.
25 trailers below - one for every guest who said yes.
Which guest's story hit you the hardest? Reply below 👇
HOW TO RECOGNIZE PEOPLE:
1. Fake people are always nice.
2. Envious people put others down.
3. Good people help quietly.
4. Courageous people admit when they're afraid.
5. Small minded people talk about others.
6. Great people talk about ideas.
7. Weak people look for someone to blame.
8. Strong people can forgive.
9. Stupid people believe they are always right.
10. Wise people don't argue.
11. Liars people a lot.
12. Happy people don't bother others.
Tired of teaching electronics with breadboards? Watch as Voltera designers print a voltage regulator to teach the tradeoffs in electrical efficiency between linear and switching regulators, heat dissipation, and simple circuit design.
Video Credit: @voltera_io#electronics #printedelectronics #engineering #technology
“You’re not supposed to keep prompting Claude. You’re supposed to build a system that prompts itself through loops.”
This is one of the smartest Claude workflows I’ve seen in a long time.
In the video, Anthrophic Engineer explains why most builders are setting up loops incorrectly:
- The memory file they forget to create, forcing every loop to start from scratch
-The sub-agents that should be separated instead of making one agent handle everything
-The stop conditions that prevent loops from running forever and quietly increasing your bill
-Why manually writing a new prompt for every task is one of the slowest ways to use Claude
If you’ve used Claude for more than a month but still type every task manually, you’re using it as a chatbot rather than a system.
One prompt completes one task.
A well-designed loop can plan, execute, review, improve, and continue until the goal is reached.
Instead of writing another prompt tonight, watch this.