Jazz • Product & Motion Designer #NeoBank

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Jazz • Product & Motion Designer #NeoBank

Jazz • Product & Motion Designer #NeoBank

@jazzflows

The financial stack is being rebuilt. I design how people trust it. Neobanks · Stablecoins · Agentic Payments Brand Identity · UI/UX · Motion · AI Video

Dubai, UAE 가입일 Temmuz 2025
35 팔로잉28 팔로워
Jazz • Product & Motion Designer #NeoBank
"we will summarize it" is the sharpest line in the piece. the whole business model in three words, applied to the people it displaced to exist
Peter Girnus 🦅@gothburz

There are four categories. You are in one of them. Nobody asked which one you'd like. I am the CEO of Perplexity. My company is worth $20 billion. I am 31 years old. Last week I said losing your job to AI could be a "glorious" thing. I said it at Nvidia's GPU Technology Conference. On a podcast. In front of an audience of people who build the tools. Everyone nodded. I said: "The reality is most people don't enjoy their jobs." I have had one job. I have had it for three years. It made me a billionaire. I enjoy it very much. But the data is clear. Most people do not enjoy theirs. I said people displaced by AI could start their own businesses. I used the word "mini." Mini businesses. My example was someone selling t-shirts from their garage. Using AI tools to handle invoicing, inventory, marketing. No employees. No funding. Just the tools. My company has raised $1.5 billion in venture capital. My advice to the displaced is: sell t-shirts. From your garage. The average American small business earns less than $50,000 in its first year. The average tech worker who lost their job was making six figures. That is a pay cut. We call it an opportunity. We call it the glorious future. My company is an AI search engine. It summarizes content from the internet. A significant amount of that content was written by journalists. Many of those journalists have been laid off in the past two years. Some of them have started newsletters. Some of those newsletters are summarized by our product. I did not mention this on the podcast. I mentioned the t-shirts. Your company has a version of this. They may not use the word "categories." They may use "workforce planning" or "strategic alignment" or "future-state org design." But somewhere in a slide deck you have not seen, there is a chart. The chart has boxes. You are in one of the boxes. The box was not a conversation. It was a decision. You were not in the room. Another CEO said the chart out loud this month. Alex Karp. Palantir. His company builds AI software for the CIA, NSA, and ICE. Alex said: "There are basically two ways to know you have a future. One, you have some vocational training. Or two, you're neurodivergent." Two categories. Alex has dyslexia. Alex is in the second category. At Davos, Alex told people with philosophy degrees: "hopefully, you have some other skill." Alex has a philosophy degree. He also has a defense company. So Alex is fine. He created two fellowships at Palantir. One for the neurodivergent. One for high school graduates willing to skip college. The pitch: "Earn the Palantir degree." The Palantir degree does not transfer to other institutions. Between the two of us, Alex and I have simply said the chart out loud. Here are the categories: 1. Tradespeople. Plumbers. Electricians. Safe until the robots can sweat-solder copper. We are funding the robotics companies. That is a separate conversation. 2. Neurodivergent individuals. Strategically valuable. See the Palantir fellowship. 3. Entrepreneurs. They will use our tools to start mini businesses. Many of them will be selling things to other entrepreneurs who also lost their jobs and also started mini businesses. That is an ecosystem. 4. Everyone else. Everyone else gets the glorious future. We wish them well. "Even if there is temporary job displacement to deal with, that sort of glorious future is what we should look forward to." That is my full quote. I said "even if." As though it is one of several possible outcomes. It is not. But "even if" is a warm way to say it. The tools are neutral. The displacement is temporary. The future is glorious. I believe all of it. Some say AI is not causing the layoffs. The narrative is useful either way. Nobody has asked which category they would like to be in. But the categories exist whether you choose them or not. That is not something we decided. That is the market. The market decided. We built the tools. The tools are available. I will be at GTC again next year. I look forward to hearing what the garages have built. We will summarize it.

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𝔊𝔥𝔬𝔰𝔱
𝔊𝔥𝔬𝔰𝔱@_0xghost_·
I see some in comments say I want the US to be destroyed. Bc I’m spreading awareness of the mess of the situation & risk to financial markets. That’s like saying I want BTC to be destroyed when I said it looked like top was in in Q4. Point is that ppl will treat anything they don’t like to hear as an attack, even a personal attack, instead of as a data point which needs consideration. This is why there are so many BS large KOL accounts who have hundreds of thousands of followers & all they spew is “alt season soon” BS. Bc ppl here don’t actually want to learn anything or even make money, they just want to be told what makes them feel good.
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Jordi in Cryptoland
Jordi in Cryptoland@lordjorx·
Every stablecoin works until the market breaks. Between October 2025 and February 2026, the crypto market saw over $30B in liquidations across multiple crash events. @protocol_fx built fxUSD for exactly those conditions, and through every single one of them the peg held between $0.999 and $1.001. The protocol just executed its design: > Arbitrage redemptions enforce the floor > A stability pool absorbs dips > Minting halts until peg restores > Funding fees activate to re-peg the stablecoin fxUSD is fully collateralized by wstETH and WBTC, verifiable on-chain every block. The protocol has 16 independent security audits and also has real-time threat monitoring with @HypernativeLabs (that could have mitigated incidents like Resolv's) before they spiraled for hours. I also met with @cyrille_briere from the team this week and left genuinely convinced this is one of the most ambitious protocols in DeFi right now. fxMINT already changed how cheap and accessible it is to create stablecoins, something we've talked about many times but still feels massively underused. And what's coming with @FX100Perp looks like it could shift things even further. The best stablecoins are the ones nobody has to worry about when the market dumps.
Jordi in Cryptoland tweet media
f(x) Protocol@protocol_fx

x.com/i/article/2036…

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Jazz • Product & Motion Designer #NeoBank
@0xzak the irony of a "far ahead in cyber capabilities" model being found via a misconfigured bucket is too clean. security posture and capability claims have to travel together or neither means anything.
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zak.eth
zak.eth@0xzak·
So apparently Anthropic left 3,000 internal docs in a public data lake and security researchers found them. The docs reportedly describe a new model called claude mythos that sits above opus in a new tier called capybara. Their own draft allegedly says it's "far ahead of any other AI model in cyber capabilities". If true, the company building the most security-sensitive AI on earth got popped by a config flag.
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Jazz • Product & Motion Designer #NeoBank
@sabben Japan at 4.7 is the more interesting data point. third largest economy on earth, generational engineering talent, and almost nothing converting to unicorns. the cultural unlock is the variable that GDP and universities alone can't explain.
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Peter van Sabben
Peter van Sabben@sabben·
Sweden powerhouse for unicorns! 🇸🇪🦄 Sweden produces the second most unicorns in the world relative to GDP - only behind Israel and ahead of the US. Truly impressive 🤯 +Entrepreneurial culture +Supported by (government) infrastructure enablers that are globally attractive + Founder Factories + strong technical universities + growing angel culture = Winning! Source: @dealroomco
Peter van Sabben tweet media
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AzFlin 🌎
AzFlin 🌎@AzFlin·
AI has not changed much in regards to human talent tbh cracked people are still cracked. retarded people are still retarded but there is one interesting case - the previously non-technical guy that is coding prolifically they were meant to be coders b4 but were lead astray
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staysaasy
staysaasy@staysaasy·
I don’t want to be that guy again but eh why are there still 0 good new consumer products in the age of AI. Why has literally every art form turned into fast casual throwaway mediocrity. Why are existing products getting worse.
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sysls
sysls@systematicls·
When you really talk to people about ambition, you start to understand that most people want the call option of ambition but are unwilling to pay the premium. It’s always the same excuses: what if it doesn’t work or that “I have a good thing going”, or “let’s see how it goes”. Always finding a hedge, always finding an excuse to “diminish risks”. That’s no way to live your life - you should be daring greatly and recognize that the only way to live and do something is to push it to its most extreme form. At the limits, you understand the shape of the problem and the opportunity much better, and can act with better information than those dancing at the fringes.
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Jazz • Product & Motion Designer #NeoBank
@BigSeanHarris the framing is clean but it skips a step, money eliminated trust between strangers, but institutions reintroduced it as a compliance layer. KYC isn't antithetical to money, it's antithetical to the original promise of money.
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Sean Harris🏀
Sean Harris🏀@BigSeanHarris·
Money was literally invented to not have to know your customer. It was created to eliminate the layer of trust needed between the exchange of goods. KYC is antithetical to money.
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Aditya Agarwal
Aditya Agarwal@adityaag·
Everyone wants to avoid taking on the models head on. Surprising how few people take the opposite approach Lean into the risk. But make a bet on capabilities that are 12-18 months out. The models suck at something today but I am going to bet it is good enough after XXX months
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Alex Branford
Alex Branford@BranfordEquity·
I get pulled into fundraises that aren't going well. Always the same conversation. Founder thinks investors are treating them unfairly. Thinks they should be getting better terms. Thinks something is wrong with the numbers but can't pinpoint what. I ask them to send me their forecast. Their financial model. Whatever they've been showing investors. "Our accountants do that." So I get the model. And every time - every single time - the person who built it has never sat on the investor side of the table. Has never had to argue the case for a business plan under scrutiny. Has never had someone pick apart their assumptions line by line. Had a hardware manufacturing client. They make helicopters. The model their accountant built was projecting 11 unit sales per year, split evenly across quarters. 2.75 helicopters per quarter. Cash landing proportionally at 0.75 of the sale value. That's like a surgeon planning an operation by dividing the patient into equal sections. It bears no relationship to how anything actually works. You don't sell three quarters of a helicopter. You don't collect three quarters of the cash. The real pattern is lumpy - maybe 4 in Q1, nothing in Q2, 3 in Q3, 4 in Q4. Cash collection lags by 60-90 days. Deposits come first, final payments on delivery. Every one of those details changes the cash flow profile completely. The moment an investor opens that model, the meeting is over. They know instantly that nobody in the room understands how the money moves through the business. Here's why this keeps happening. Accountants operate in a completely different world to the one you need for fundraising, for growth decisions, for anything commercial. Their success metric is minimising tax. That's how they justify their fees. That's what they're trained for. Taking a commercial position is a bet. You can get bets wrong. I've got them wrong in my career. But if you never take the bet, you can never be seen as losing. So accountants stay safe. They want to operate in a full informational sphere before making any recommendation. That sounds responsible. In practice, you never have full information. Decisions get made with 60-70% of the picture and a strong view on the rest. That's what commercial operators do every day. Accountants freeze in that environment. What that looks like in a model: - All costs treated as static. No connection to growth drivers. Marketing spend sits on its own line with no linkage to CAC, LTV, or revenue - - No unit economics. No way to stress test what happens when you acquire 50 more customers or lose 20 - - The deliverable is a P&L page. Compliance-focused. Optimised for HMRC, not for scaling the business - - The bridge between historic financials and the forecast is always weak. The model just jumps from "here's what happened" to "here's what we think will happen" with nothing connecting the two - - Inputs scattered everywhere. Jargon throughout. Nobody who didn't build the sheet can audit it I've seen accountants actively resist aggressive growth decisions that were legally sound, commercially obvious, and massively positive on a risk-adjusted basis. Their concern was that it might create a question further down the line. Meanwhile the return-weighted outcome of making the move was enormous. They'd rather protect themselves from a hypothetical audit query than help the business grow. That's the fundamental gap. Your accountant is optimising for compliance. You need someone optimising for the commercial outcome. Those are two completely different jobs requiring completely different instincts. Fundraising is entirely about taking positions. "Here's what we think the business is worth. Here's why. Here's the model that proves it." That requires someone willing to put their neck on the line and defend the assumptions under pressure. Your accountant will never do that. That's not a criticism of their ability. It's a completely different job. If you're going into a raise with numbers built by someone whose primary objective is keeping HMRC happy, you're bringing a tax return to a negotiation. I can usually tell within 10 minutes of looking at a model whether it was built by someone who's ever had to defend it in front of an investor. If yours hasn't been stress-tested by someone who has, fix that before you start the process.
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Peter Van Valkenburgh
Peter Van Valkenburgh@valkenburgh·
I didn't sign up for just vibes-based pro-crypto policies: non-binding guidance, memos about deprioritizing enforcement, speeches. I want the laws changed to be clear that publishing and maintaining privacy software without a license is not a crime. I want a court to rule on that question or Congress to pass the BRCA or a similar safe harbor. I will not rest until it is done.
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Antonio García Martínez (agm.eth)
Crypto->return to open protocols and decentralized idealism AI->return to CLIs and fuck SaaS lock-in Xennial nostalgia for the early Internet as tech ideal totally vindicated
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Jake Chervinsky
Jake Chervinsky@jchervinsky·
Stablecoin yield has dominated media coverage of the CLARITY Act. It matters, but it's not the only issue. The biggest challenge is ensuring non-custodial software developers aren't misclassified as money transmitters. That's non-negotiable for DeFi, and it's still unsettled.
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Cyprx Research Lab Official
Cyprx Research Lab Official@CyprxResearch·
Stablecoin infrastructure funding is accelerating. $109M raised. 4 deals. 1 day. @StartaleGroup ($50M) Tazapay ($36M) @OfficialXFX ($17M) Payy ($6M) Capital is flowing into one of the most commercially proven parts of crypto: moving money better. Why now? - Regulation improving (MiCA, GENIUS Act) - Clear use case (cross-border payments) - The infrastructure stack is maturing What started as a trading tool is becoming: onchain cash rails. And historically this is how financial shifts start: - Payments first. - Markets later. Next wave likely includes: - RWA infrastructure - Tokenized securities - New onchain market structure Stablecoins aren’t the end game. They’re the entry point to rebuilding financial infrastructure onchain.
Cyprx Research Lab Official tweet media
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Jazz • Product & Motion Designer #NeoBank
@chuk_xyz @whop the revenue visibility angle is the part banks should actually be scared of. Whop already knows who's earning, how much, and how consistently. that's better underwriting data than any credit bureau.
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Chuk
Chuk@chuk_xyz·
Whop shipped 6% yield to 21M users. Most of them have no idea it's DeFi. If you haven't heard of @whop, they're like Shopify, Patreon, and Udemy rolled into one for the internet generation. 21M users, $3B+ in payouts, growing 255% year over year. Their new Treasury product enables balances to earn up to 6% on @aave through @veda_labs via an integrated self-custodial wallet on @Plasma. The user just sees a number going up every second in their Whop dashboard, with zero crypto friction. Classic DeFi mullet. While congress debates whether stablecoins should be allowed to pay yield, Whop shipped yield through lending markets, sidestepping the debate entirely. Everything is a bank. Any platform with float can offer yield as a feature. This is the same threat to deposits that banks have been lobbying against, except this one is less in their control. Users are on Whop because that's where they earn. Now they can grow their balances there too. It's only a matter of time before Whop enables spend (cards) and credit (they can already see your revenue). This is the consumer equivalent of merchant banking, and banks will need to step up the utility of their offerings in order to compete.
Chuk tweet media
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Mark
Mark@Markkrypt·
Sharing a lot about how AI agents will become the biggest users in crypto. But is slapping general-purpose web2 $AI frameworks onto existing defi actually enough? Or does crypto need its own native agent infra built specifically for machines? Probably yes imo. Agents are just upgrading the existing machine layer. – 500+ agent projects already, ~$3B mcap – AI sector sitting at ~$16B mcap – AI dApps already ~18% of all dApps – agents moved billions TVL chasing yields Crypto is actually the only environment where agents make full sense. – wallets = native machine identity – stablecoins = programmable money – composability = agents can chain actions across protocols in one flow – 24/7 markets = no downtime for capital The settlement layer is mostly there. The app layer already has stuff like @virtuals_io, @HeyAnonai, @elizaOS. But the middle layers like coordination, execution, identity still have a lot to be built. – no clean key delegation for agents (they can’t safely hold keys long-term) – no MEV-aware routing layer for agents – no reliable transaction simulation to prevent hallucinated txs – no standardized identity / reputation (ERC-8004 still early) Web2 AI was built for forgiving environments. Make a bad API call? Just retry or roll it back. Onchain is the exact opposite. If an agent gets prompt-injected or hallucinates a trade, the funds are literally gone forever. That’s why the first wave of DeAI was just degens aping launchpads, AI agent CEOs… that mostly round-tripped to zero. They were basically nothingburgers because the underlying infrastructure wasn't there to make them secure. Now that the masses are fading the space, there are real teams keep building to turn crypto into the default financial system for machines
Mark tweet media
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Jazz • Product & Motion Designer #NeoBank
The asymmetry that makes this worse: Group 1 ships in public, iterates visibly, and gets the discourse. Group 2 solves harder problems behind NDAs and internal wikis. The knowledge compounds privately, which means the public mental model of "how AI works in production" stays permanently behind.
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Karri Saarinen
Karri Saarinen@karrisaarinen·
One unproductive AI discourse pattern keeps to be how individual workflows preferences are talked as the universal hallmark of software engineering. Group 1: A solo builder with agents, their preferred stack, and a pile of markdown files, working on their own apps, is the right way to build and everyone else ngmi Group 2: A much larger group building with agents at scale inside companies, where coordination, reliability, shared systems, and organizational complexity create a very different set of problems which most people don't hear about. tbh individual workflows can still be directionally useful to show new ideas, but they can also be not stable, and enterprises might have very different problems that individuals don't ever have. It's like why small startups don't need to or shouldn't operate like Google, but Google kind of has to operate more or less like company of Google's scale. All ideas are good but much of the AI narrative still very confidently comes from group 1 too little from group 2 (with few notable exceptions).
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Grant
Grant@Grantblocmates·
teams need to just stop launching tokens unless absolutely necessary for the protocol to exist you are judged on the popularity contest of the token by several orders of magnitude more than the product/service itself if you have to raise money, any worthwhile vc will accept equity greta products and teams are ripe for acquisition now , M&A is up and to the right if they are pushing you for a token when it is not needed, then see through it if you must have a token and its only job is to sell so fund runway you do not have a good business any teams unnecessarily launching a token will fail faster than those without one
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