George S. Georgiades

This is a big deal. It's like Stripe but for moving money in and out of companies. You just call the API and Modern Treasury does the rest.

"𝐀𝐈 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬" have become the craze with reports this week that Mac Minis are selling out as people try to segregate access. Understanding access controls, governance and cybersecurity will be key. Don't take my word, ask Gilfoyle 𝐋𝐢𝐟𝐞 𝐦𝐢𝐦𝐢𝐜𝐬 𝐜𝐨𝐦𝐞𝐝𝐲 --Oscar Wilde.

@OmriBuilds People. It’s not the idea, it’s all about execution.

What makes a startup impossible to copy?

"If we're all going to eat, someone has to sell." Ken Griffin saw this on a $10 plaque in an investor's office. Changed his entire view of business. Here's the truth most founders miss: Sales isn't a department. It's a culture. But sales doesn't end at signature. It starts with the first pitch and never stops. Customer experience = every interaction after the deal. The moment customers aren't the center of attention? You're done. If your CEO isn't reading customer complaints daily, you've already lost focus. If your CTO isn't in Zendesk, you're losing. Don't get buried in spreadsheets. Never lose sight of who pays the bills. Never. Stop. Selling.

@1Umairshaikh Committee

Destroy a startup with a word

@1Umairshaikh Ego.

In ONE WORD, what prevents most founders from succeeding?

AI Founder or Fraudster? Stop pitching “AI replacing doctors/therapists” like it’s a feature update. That’s not innovation. It’s cost-cutting wrapped in sci-fi marketing. This tech is not governance-ready for life-and-death work: Hallucinations aren’t “quirks.” Confident wrong answers can kill. No accountability: vendor/hospital/insurer hide behind Terms of Service. Black box: you can’t audit why it decided what it decided. Data games: “personalization” often means monetizing your most sensitive info. “Replacement” in the real world looks like: • a chatbot inventing a diagnosis with 100% certainty • an “AI therapist” validating delusions/mishandling crises • triage optimizing for throughput, not safety • clinics using AI to quietly reduce human oversight Call it what it is: greed + governance gaps + plausible deniability. #AI #HealthTech #Liability #Tort #Malpractice

Hot take: “Compliance-first” is why many hypergrowth companies stall. Not because compliance is optional. Compliance is fundamental to the entire org. But because most programs are built for audits, not decisions, accountability and real risk mitigation. A program that scales has: -clear decision owners -controls mapped to failure modes -monitoring with triggers -escalation paths that actually work If your policy doesn’t change what ships, it’s theater.

Lawyers, If your advice can’t be summarized in 5 bullets, it won’t be used.

Founders & CEOs: Your org chart is telling on you 👀 Who reports to whom isn’t bureaucracy — it’s strategy. • Legal under CFO/COO = admin, not moat • “Customer Complaints” vs “Customer Success” = mindset • Sales to CFO vs CEO = growth vs control • Chief of Staff = leverage… or dysfunction Org design = how decisions get made, info flows/feedback loop, and value is created. One reporting-line change you made that actually changed how your company operates — good or bad? #Leadership #Governance #OrgDesign #Founders #Executives #VC #Growth

@marcrandolph The point of a new venture and 0-1 innovation is that there is no path to map out. You have an idea but simply don't know/have the data until you start building and executing. This is why great seed investors invest in people and plans & power points.

You want the truth? Go ahead and write up a plan, but don’t put too much faith in it. Because the only real way to find something out is to do it

AI governance is becoming disclosure governance. The fastest enforcement and litigation risk isn't ‘AI went rogue’ It’s ‘we said we had AI controls that we didn’t' Every Board/Director should be focused on AI governance, controls and audits.

@sytaylor Very positive. Also a signal that we're still very early in adoption (still at the education phase).

🚨 BREAKING: Visa launches Stablecoin Advisory Practice Every bank is asking the same question right now: "What's our stablecoin strategy?" And when they don't know the answer, who do they call? Their card network. --- Visa just formalized what was probably happening informally. They're helping banks figure out the basics: → What is minting? → What is burning? → What does the flow of funds actually look like? Sounds simple. But these are the fundamentals most financial institutions need to understand before they can build anything. --- The client list is telling: Navy Federal Credit Union, VyStar, Pathward. These aren't crypto-native companies experimenting. These are traditional FIs trying to figure out where stablecoins fit their business. The use cases they're exploring: cross-border payments (especially to volatile currency countries) and B2B transactions. Visa already has $3.5B in annualized stablecoin settlement volume and 130+ stablecoin-linked card programs across 40 countries. --- The advisory practice is the next logical step. Help clients decide whether to build, and if so, how. Some will push forward. Others will conclude there's no customer need. Both are valid outcomes. --- Stablecoins went from "crypto thing" to "thing your consultant helps you implement." That's the mainstreaming moment.

@Codie_Sanchez 💯💯💯 companies don’t fail, the team does.

Skill I wish someone had told me was the only thing that will lead to $10 million+ in net worth? Hiring. Everything is a who problem past your first $1million.

@Melt_Dem The first red flag that a company is going to fail. Every cent of investor capital is to build not fund founders lifestyle.

love it when seed stage startup founders who make no revenue tweet photos of them in first class on the most expensive flight in the world flying to a conference where they will network with people they see every day in SF or NYC such a cool look guys

You need to either own proprietary tech for infrastructure (B2B), distribution (B2C) or both. Most AI and new stablecoin ventures own neither. Build wisely. 🚀

Three non-negotiable AI risk controls: (1) Human review on high-stakes decisions (2) Audit trails for every model output (3) Bias testing before deployment. Everything else is secondary. Get these right or don't deploy.

I Startups have a serious problem.... Most AI startups are not innovating - more like features-apps pretending to be actual AI ventures.. No proprietary tech, processes or motes. ChaptGPT or Claude wrappers. No sticky recurring revenue. Reality - you are not an AI startup, but a features-app. No competitive advantage. If you are AI driven version of [insert incumbents name] then what happens when that incumbent just adds AI their existing customer base and distribution channels. VCs will have to explain to their LPs on how they underwrote these "AI-ventures".

Founder Lesson: The best opportunities hide where others see only obstacles. Solve the puzzles no one else dares.

Three non-negotiable AI risk controls everyone should understand: 1. Audit trails for every model output s 2. Audit trails for every model output 3. Bias testing before deployment. Everything else is secondary. Get these right or deploy at your own risk.