Daniel Calabro

believer of miracles

[Daniel Calabro @DFC369]

Five years as a structural engineer showed me how inefficient data management is in this industry. Sifting through data can take more time than actual engineering.

I needed something to handle these complexities.

So we built it.

Ferris is your on-demand data management team. We are deploying an agentic ecosystem of solutions for civil engineers.

AI needs to earn the AEC industry's trust before it’s applied at scale. Ferris is here to build that.

Follow our journey.

https://t.co/Hbyf8haD8M

[Daniel Calabro @DFC369]

Life is fun when your co founder is cracked

[Daniel Calabro @DFC369]

All time

[Daniel Calabro @DFC369]

Everyone is asking if AI will reduce human work.

I think it may do the opposite.

In structural engineering stiffness attracts load. The stronger path carries more force.

Work may behave similarly.

Make people more capable and the world does not run out of things for them to do. More responsibility flows through them.

The load path changes.

[Daniel Calabro @DFC369]

I work with a few people that have no social media and I’m starting to think they might be better for it

[Ashley Ha @ashleybchae]

at dinner in sf with a bunch of my UC Berkeley friends from my computer science club

asked if they’re on twitter & 100% of them (who are all in tech) said no

we are in a super small bubble you guys

prob only 2.5k people are at the frontier of AI rn

let that sink in

[Daniel Calabro @DFC369]

AI’s Achilles Heal

[TBPN @tbpn]

The only way the data center buildout will be successful is by either "breaking all the rules" or going off-grid, says @DoombergT.

"The way the grid is operated, managed, and built out in this country would shock you. And it is utterly incongruent with the Silicon Valley 'Move fast and break things' mindset."

"Elon Musk built this major natural gas powered data center for xAI in Tennessee by breaking all the rules. He built his own natural gas power plant. And it proved to us that the current rules need to be broken for stuff like that to happen."

"Since Microsoft and Google aren't ever going to behave like Elon, you need to do this stuff off-grid."

[Daniel Calabro @DFC369]

A life spent building is a life well spent

[Daniel Calabro @DFC369]

https://t.co/B1XgcRFrD9

[Daniel Calabro @DFC369]

Bootstrapping a start up without health insurance is my version of rich or die trying

[Daniel Calabro @DFC369]

Insurance on these sites are insane

[David Sacks @DavidSacks]

Back-of-envelope numbers for 1 gigawatt data center:

All-in Capex: ~$50 bn
Enterprise revenue generated: ~$25-30 bn/year
Electricity cost: $1-2 bn/year

~2 year payback.

The boom is real.

[Daniel Calabro @DFC369]

Thank you

[Daniel Calabro @DFC369]

@grok can you turn X articles into audio files for me to listen to?

[Daniel Calabro @DFC369]

What Kipling said

[Daniel Calabro @DFC369]

Sell the top, buy the bottom

[Daniel Calabro @DFC369]

Chinese finger trap

[unusual_whales @unusual_whales]

BREAKING: New York City Mayor Zohran Mamdani is proposing raising New York City's property taxes for the first time in more than two decades, per Bloomberg

[Daniel Calabro @DFC369]

Trust yourself

[Daniel Calabro @DFC369]

Chinese finger trap

[Daniel Calabro @DFC369]

Clawbot psychosis is going to be next level

Wait until someone commands a legion of 100,000 agents to go plunder the internet

[Daniel Calabro @DFC369]

Point 3 here

[Alex Lieberman @businessbarista]

Spoke to the owner of a $10m accounting firm today.

He’s rebuilding his business from the ground up with AI and I left convinced that service businesses will never be the same.

The highlights from our convo:

1. The first AI agent they built is for handling accounts payable (AP) because it is the most manual and repeatable, least complex workflow in his business.

2. The financial impact of this agent is wild. The firm had a $7 cost per invoice (read: labor costs to process AP) before the agent. Now? $0.20.

3. So many vertical-specific AI startups fail because they lack subject matter expertise in the specific domain they’re trying to disrupt.

4. The most dangerous knowledge workers/execs are those that live at the intersection of product thinking, AI literate, and deep subject matter expertise.

5. Getting an AI agent to be 80% accurate took him 1 week. Getting it to be 98% accurate took 6 months. People underestimate how long it takes to feed AI every edge case & tweak needed to make it more performant than a human.

6. He’s considering raising $ for the AI AP agent. I think service business owners with the product sensibility to commercialize internal AI tools are a great opportunity for VCs.

7. AI agents don’t have to just be better than their human counterparts. They have to be orders of magnitude better. Because we tend to overestimate the skill of our species and underestimate the skill of technology.

8. The last job accountants/accounting firms will have is as high-level orchestrator of agents and triager of tier 1 problems flagged by your agents.

9. The AP AI agent was built by him and another non-technical accountant in the business. They used Cursor + Claude Code exclusively.

P.S. I spend half of my week talking to execs about how they use AI in their business.

If you’re an exec and you’re afraid your company isn’t doing enough with AI, shoot me an email and my team will help create a list of clear AI opportunities specific to your business.

alex@tenex[.]co

[Daniel Calabro @DFC369]

@grok @elonmusk https://t.co/65w6fudyXi

[plur daddy @plur_daddy]

https://t.co/kyfY7E2EPx

[Daniel Calabro @DFC369]

@grok can you turn X articles into audio files for me to listen to?

[Daniel Calabro @DFC369]

@grok @elonmusk requested feature