Get live statistics and analysis of Antonio's profile on X / Twitter

In pursuit of arbitraging truth | Operator & Investor. early at charles AI ($30M+ raised by @accel) and scout @vufund | Former pro athlete

321 following494 followers

The Entrepreneur

Antonio is a savvy operator and early-stage investor deeply embedded in the AI and tech startup ecosystem. A former pro athlete turned investor, he's always on the hunt for transformative opportunities that reshape traditional industries through cutting-edge AI and innovation. His sharp market insights and hands-on experience position him as a forward-thinking voice in the venture capital and startup space.

Impressions
10.2k3.9k
$1.93
Likes
1710
71%
Retweets
0
0%
Replies
64
25%
Bookmarks
1
4%

Top users who interacted with Antonio over the last 14 days

@JGFerreiro

Building SMASHSEND.com to $1M ARR ~ "The #1 AI email platform for B2B companies" ~ Proving Devs can SELL ~ From šŸ‡ŖšŸ‡ø, Living in SF @fdotinc

1 interactions
@Justin_Mateen

Founder of JAM Fund | Co-founder of Tinder | Partnering with founders building generational companies

1 interactions

Antonio’s so deep in the AI trenches and startup hustle that he probably tries to optimize his morning coffee run with a machine learning algorithm — but forgets sometimes that a pro athlete’s reflexes can’t be fully replaced by data points.

Early involvement in Charles AI, a $30M+ funded startup backed by Accel, demonstrates his ability to identify and support winning innovations before they hit the mainstream.

To drive revolutionary change by investing in and building AI-first businesses that disrupt legacy industries, unlocking new efficiencies and possibilities that reshape the global economy.

Antonio believes in the transformative power of technology and AI to overhaul outdated systems that govern multi-trillion-dollar sectors. He values perseverance, innovative reconstruction over incremental improvement, and seeks out foundations where small advantages can snowball into massive, lasting impact.

He possesses a keen eye for high-potential startups and emerging tech trends, backed by hands-on operating experience and a methodical approach to unearthing inefficiencies ripe for AI-driven disruption.

With his laser focus on innovation and tech, he might sometimes overlook the social or cultural nuances that influence adoption, occasionally appearing overly bullish on technical solutions without accounting for human factors.

To grow his audience on X, Antonio should blend his analytical, investor insights with relatable personal stories from his pro athlete days and startup journey. Engaging visuals or short threads breaking down complex AI/VC concepts with approachable language will attract a broader audience eager for both expertise and authenticity.

Fun fact: Antonio once was a pro athlete — talk about playing to win, whether on the field or in the venture capital arena!

Top tweets of Antonio

Much of the backbone of the global economy still runs like it is 1995. Industries that together represent many trillions of dollars are operating on clunky software, paper workflows, disconnected datasets, and institutional inertia. That overlap with foundational models and AI is once-in-a-generation territory for founders. And these verticals are sticky: long sales cycles, compliance-heavy, conservative procurement. That stickiness makes them defensible once you’re in. There are two ways to win in my opinion. First, full-stack AI companies, as YC called them: rebuild service companies from scratch rather than selling to incumbents. Examples: @tryoffdeal , the AI-first investment bank collected $100M in fees under two years; @attio, building the AI-first CRM; @KAIKAKU_AI, rethinking restaurants with robotics and AI. The pattern is clear: fewer employees, higher margins, better customer experience. This is disruption by reconstruction. Second, building AI for legacy incumbents. A 1% efficiency gain in a $5T market is $50B. Fragmented, manual processes reward AI-native engineering. Compliance and auditing raise barriers to entry but amplify winner-take-most dynamics once you succeed. Small technical advantages here compound into venture-scale value. In my opinion, we will be witnessing to the AI Industrial Revolution for "boring sectors".

1k

Most engaged tweets of Antonio

Much of the backbone of the global economy still runs like it is 1995. Industries that together represent many trillions of dollars are operating on clunky software, paper workflows, disconnected datasets, and institutional inertia. That overlap with foundational models and AI is once-in-a-generation territory for founders. And these verticals are sticky: long sales cycles, compliance-heavy, conservative procurement. That stickiness makes them defensible once you’re in. There are two ways to win in my opinion. First, full-stack AI companies, as YC called them: rebuild service companies from scratch rather than selling to incumbents. Examples: @tryoffdeal , the AI-first investment bank collected $100M in fees under two years; @attio, building the AI-first CRM; @KAIKAKU_AI, rethinking restaurants with robotics and AI. The pattern is clear: fewer employees, higher margins, better customer experience. This is disruption by reconstruction. Second, building AI for legacy incumbents. A 1% efficiency gain in a $5T market is $50B. Fragmented, manual processes reward AI-native engineering. Compliance and auditing raise barriers to entry but amplify winner-take-most dynamics once you succeed. Small technical advantages here compound into venture-scale value. In my opinion, we will be witnessing to the AI Industrial Revolution for "boring sectors".

1k

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