Terry Angelos (@terryangelos) 's Twitter Profile
Terry Angelos

@terryangelos

Working on something new! Previously co-founder & CEO @TrialPay, SVP Fintech & Crypto @Visa, CEO @Drivewealth. Effective iteration.

ID: 62119340

linkhttps://www.linkedin.com/in/tangelos calendar_today01-08-2009 21:11:17

2,2K Tweet

6,6K Followers

1,1K Following

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CBDCs are a bad idea because there is better technology from open source blockchains and better adoption from stable coins like USDC. Not sure why banning them is needed?

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Payment nerds love scale. How does Elon Musk administering Treasury Department compare to the payment giants? - Visa $14T - Mastercard $10T - China UnionPay ~$9T - PayPal $2T - Amex $1.5T Anyone know the TPV for Direct Disbursements by Treasury? Jevgenijs Kazanins

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“The crucial threshold is the point where debt service exceeds defense spending, after which the centripetal forces of the aggregate debt burden tend to pull apart the geopolitical grip of a great power, leaving it vulnerable to military challenge.”

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Sometimes you need to see (or in this case hear) the future to visualize it. Watch these two AI agents switch to Gibberlink mode, an open source standard for faster audio comms. Sounds like R2-D2.

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We are early in the adoption of non Visa/MC debit transactions online. In May ‘23 the FCC ordered Mastercard to stop blocking access to PIN debit networks for online transactions. Since then large merchants are routing more online transactions over networks from Fiserv, FIS,

Caitlin Long 🔑⚡️🟠 (@caitlinlong_) 's Twitter Profile Photo

🚨THANK YOU to moderate Democrats--the stablecoin bill (GENIUS Act) passed the Senate Banking Committee 18-6. They bucked the far-left Warrenites. 🙏

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Narrative violation: @visa Mastercard compete vigorously for distribution deals and often give most of the margin to issuers. The $100M payment will find its way to consumer’s pockets in the form of competitive rewards. wsj.com/finance/bankin…

Sheel Mohnot (@pitdesi) 's Twitter Profile Photo

WeBull SPAC today was crazy. $30B market cap compared to $40B for Robinhood, which is MUCH larger & faster growing Revenue: WB: $390M, flat RH: $2.9B ⬆️ 58% AUM: WB: $13.6B ⬆️ 65% RH: $193B ⬆️ 87% Funded accts: WB: 4.7M ⬆️ 9.3% RH: 25.2M ⬆️ 7.7% feels like 2021

WeBull SPAC today was crazy.

$30B market cap compared to $40B for Robinhood, which is MUCH larger & faster growing

Revenue:
WB: $390M, flat
RH: $2.9B ⬆️ 58%

AUM: 
WB: $13.6B ⬆️ 65% 
RH: $193B ⬆️ 87%

Funded accts:
WB: 4.7M ⬆️ 9.3%
RH: 25.2M ⬆️ 7.7%

feels like 2021
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The big announcement is about Agentic Commerce with Visa Intelligent Commerce. Authorize agents via a token to transact on my behalf. Plus data tokens to provide personalized data in the context window. OpenAI, Perplexity listed as partners

The big announcement is about Agentic Commerce with Visa Intelligent Commerce. 

Authorize agents via a token to transact on my behalf. Plus data tokens to provide personalized data in the context window. 

OpenAI, Perplexity listed as partners
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Print → Swipe → Tap → Type → Delegate Visa has defined the interface to commerce for over 60 years. * It started with my card in a zip-zap (Print). * Then a terminal (Swipe and Tap). * Then a browser and a phone (Type). Today, Visa defined that interface for my AI agent

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Slowly. Then all at once. Visa stablecoin settlement surpassed $200M and is on track to $1B (Jack Forestell) Here's the very first change we made to the Visa settlement file back in 2021 to add an Ethereum address (instead of a JPM accounts) for settlement in USDC.

Slowly. Then all at once. 

<a href="/Visa/">Visa</a> stablecoin settlement surpassed $200M and is on track to $1B (<a href="/jackforestell/">Jack Forestell</a>) 

Here's the very first change we made to the Visa settlement file back in 2021 to add an Ethereum address (instead of a JPM accounts) for settlement in USDC.
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Payment freedom. There's $109B in goods and services where Apple takes a ~30% fee (as of 2022). How much of that goes to Stripe/Adyen?

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"This approach improved our detection rate for card-testing attacks on large users from 59% - 97% overnight." Payment companies are no stranger to ML models. So, to see a new Foundation Model based on Transformer model outperforming decades of ML models, we have entered a new