Ani Narayan (@aninarayan) profile picture

credit @tempo

SF / NYC
Joined December 2014
Photo by Ani Narayan (@aninarayan)Photo by Ani Narayan (@aninarayan)Photo by Ani Narayan (@aninarayan)Photo by Ani Narayan (@aninarayan)Photo by Ani Narayan (@aninarayan)Photo by Ani Narayan (@aninarayan)Photo by Ani Narayan (@aninarayan)Photo by Ani Narayan (@aninarayan)Photo by Ani Narayan (@aninarayan)Photo by Ani Narayan (@aninarayan)
Thought cookie notifications were annoying Now I join calls and get ambushed by 10 different AI apps begging to take notes
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Tempo's speed has been really inspirational. Even more so once you learn of all of the technical investments they've made on fuzzing, DST, and AI tooling to build with more confidence. Top-tier.
reading through @tempo’s T14 upgrade reminded me how much I miss crypto feeling like it’s moving fast. I love ethereum and care about CROPS. but the pace can be frustrating. average time between upgrades in the samples I checked: > ethereum, Merge → Fusaka: 294 days > tempo, T1 → T13: 22 days obviously this isn’t apples to apples. but I’d like to see ethereum’s average time between upgrades drastically reduced. do we still need this many clients? smaller upgrades more often? faster decisions on scope? what else should we rethink?
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Big week for ants in the kitchen
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Ani Narayan retweeted
Swarm riders and Swarm-native companies AI-use even among highly AI-native people is power-law distributed. There seems to be a new class of people — call them “swarm riders” — who are capable of consistently commanding large swarms of agents to productive ends. This is a new kind of managerial skill, analogous to the skill it takes to manage large organizations of people, but wholly different in nature and of course more technical. Based on the swarm riders we know (including many at @Tempo and @Paradigm), these people are capable of productive token spend that is 1000x-10000x higher than median software engineers, and 100x higher than top 5% Claude Code users. The art of swarm riding is different from software engineering and more akin to machine learning, where practitioners grapple with black box systems: defining reward functions and evals, transmuting non-verifiable problems into verifiable problems, running experiments, etc. Swarm-native companies are a new class of company founded by and populated by swarm riders. These companies are organized around swarms in a way that conventional companies will struggle to replicate, as the cost of internal human coordination is sand in the gears of an effective swarm. Effective swarm-native companies will define the right reward functions and evals, remove functional and bureaucratic barriers, and then let the swarms cook. We’ve gotten to see a few swarm-native companies up close — reshaping financial rails @Tempo, building a new gaming platform @Spawn, cyber swarms at Cathedral Systems — and it’s clear these teams wield a significant advantage over pre-AI teams. Some questions I’ve been wondering about: 1) How fast will swarm riding diffuse through the economy? The implications for token spend could be significant. 2) Can swarms be effectively adopted by existing companies or will it generally track the formation of new swarm-native companies? 3) What becomes scarce as swarm capabilities themselves commoditize (through frontier models becoming better at swarming, swarm capabilities built into harnesses, etc)? Cultures and teams that can define reward functions well and otherwise get out of the way?
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Nobody really just wants money. Money is just a means to an end: security, opportunity, freedom, even status. Those ends haven’t changed. What's changing is the technology underneath the decades old financial system. Introducing Money Machines, a podcast about how finance is becoming 24/7, programmable and agent-driven. Join hosts @chuk_xyz and @rparekh as they speak with operators working on stablecoins, tokenized assets and artificial intelligence. The conversations examine how emerging financial systems work, what it takes to build them and what these shifts mean for businesses and investors. The first episode drops tomorrow. Links in the first reply. Powered by @raincards
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.@higgsfield UI is an assault on your senses and the 20 click cancelation flow has ensured I won't ever come back
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Time to refresh on the difference between misinformation and disinformation
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Ok now I understand how Higgsfield and Runway are ripping....the rate of token consumption / dark patterns to consume more are ridiculous
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Annual opex cycle with mandatory goodwill impairment
you become an adult when diwali goes from being a profit centre to a cost centre
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~1 year later…
Billionaire investor Peter Thiel fully exited Nvidia $NVD in Q3, selling all ~537k shares that were nearly 40% of his fund, per his latest 13F. Thiel Macro has cut US equity holdings from about $212m to $74m and is now basically parked in Tesla, Microsoft and Apple
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Few extra weeks without a haircut and I can now pass off as a Gen Z mop-head
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Ani Narayan retweeted
Tempo just launched credit. It won't lend a dollar itself @tempo, the payments chain incubated by Stripe and Paradigm, now matches businesses with outside lenders. Draws and repayments settle in stablecoins in under a second, 24/7 What fintechs can borrow for: - prefunding: send payouts before incoming funds arrive - receivables: borrow against card settlements or invoices - working capital: fund the loans they give their own customers - consumer credit: offer loans through a licensed lending partner How it works: - facilities can have no minimum draw, so you pay interest only on what you use - draws can land as dollars in a bank account and be repaid by wire - the lender sets the terms and takes the risk, not Tempo First live case: eligible @eldoradoio users in Bolivia borrow USDT from @talamobile with no collateral Stablecoins already moved the payment. Now they move the credit line too
Introducing Credit on Tempo Businesses can connect with a broader market of lenders to fund their operations and the loans they offer customers. Draws and repayments settle in stablecoins in under a second, 24/7, so you borrow when you need funds and repay as cash arrives.
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Ani Narayan retweeted
Credit on Tempo is live (and I'm Very Excited about this one)! Businesses borrow against payments and receivables from a market of lenders, not just the one bank line they already have. Draws and repayments settle in stablecoins in under a second, including weekends.
1/ We’re launching credit on @tempo. Businesses can borrow against their payments and receivables from a broad market of lenders, with pricing and terms that fit how they operate.
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RT @dwr: When talking to fintechs we frequently hear that setting up a credit facility is slow, cumbersome, expensive. So they don't end up…
This quoted post is unavailable.
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1/ We’re launching credit on @tempo. Businesses can borrow against their payments and receivables from a broad market of lenders, with pricing and terms that fit how they operate.
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5/ Onchain credit closes that gap. Lenders can fund from anywhere, and draws and repayments settle in stablecoins in seconds, including weekends. Adding a lender gets simpler, and with more lenders competing, pricing can come down and terms get more flexible.
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6/ We’re building the capital market for commerce on Tempo, with design partners from large marketplaces to global trade finance providers. Read the full announcement: tempo.xyz/blog/credit-on-tem…
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