Fernando Verboonen

3.3K posts

Fernando Verboonen

Fernando Verboonen

@reyfernandofv

Tokenizing the world @eth_en, BOD @curio_invest, ex @Siemens VC, ex Ai_startup acquired by @qualcomm, #Mexico #Swiss

Earth Katılım Ocak 2010
688 Takip Edilen818 Takipçiler
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Fernando Verboonen
Fernando Verboonen@reyfernandofv·
Honored to be recognized by @Forbes among tokenization leaders shaping the future of finance. In entrepreneurship, colleagues aren’t family — they’re teammates. It’s about collaboration, strategy, and pushing each other to excel. The real magic? Building with lifelong friends, turning shared dreams into reality together. ⚡️ #Entrepreneurship #Leadership #Innovation
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Robert Lauko
Robert Lauko@robert_lauko·
See the top ranked papers in AI, ML, Robotics, Quantum Physics, and more on @kurateorg. Hundreds of arXiv preprints ranked daily by scientific impact through pairwise tournaments judged by Claude, GPT, and Gemini.
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Dominique Paul
Dominique Paul@DominiqueCAPaul·
Man, Swiss taxes are insane. I was playing with numbers, thinking how much to pay founding engineers and wondered about net income. CHF 100k (~127k USD) translates into just CHF 12k taxes. Not only that, but the government has a special website for citizens to calculate this.
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Fernando Verboonen
Fernando Verboonen@reyfernandofv·
@robert_lauko @KurateOrg Im also planning on a knowledge based that cross references research to genomics; go that I’m guessing I’d need a kurate APi to access any data?
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Robert Lauko
Robert Lauko@robert_lauko·
@reyfernandofv @KurateOrg Interesting use case. You can already filter by tags and search for keywords within categories, but we could consider adding a semantic search. Would love to hear more about your workflow. Wanna DM me?
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Dylan
Dylan@Dylan_txa·
Founders: you can now deploy a full sales team in a few clicks. Not to replace your team. To multiply it. Most B2B companies still pay $3–5K/month per rep for work GPT-5.5 can now handle instantly. Instead of: * hiring to fix pipeline * sending generic outreach * automating… spam You can spin up 5 GPT-5.5 agents: → ICP Research: finds high-intent prospects → Cold Email: writes contextual messages → LinkedIn Opener: starts real conversations → Follow-ups: adapt based on replies → Objection handler: responds in your tone Result: faster pipeline, better conversations, more demos. Same team. Much more output. Comment “AGENTS” and I’ll send the full setup 👇
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Fernando Verboonen
Fernando Verboonen@reyfernandofv·
this is very insightful. To give you some context, I've ventured over the last weeks into leveraging Agent stack Hermes. I did notice their research focus skill. At some point I myself wanted to leverage research findings, "hyper agents by Meta" and reengineered any best practices. I came across it by "luck", thus Kurate could somehow orchestrate such discovery provided I communicate any sort of intent. Would this makes sense? Glad to explore any other use cases! Here in my capacity as anyone seeking actionable research driven insights (typically managerial!).
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Robert Lauko
Robert Lauko@robert_lauko·
Good question! Kurate uses both. Papers first get cardinal scores (1.0–10.0 ratings from Claude Opus 4.6 Thinking), then go through pairwise tournaments where judges pick a winner, which is ordinal. The final rankings are computed via a Bayesian rating system, similar to LMArena's approach, which produces cardinal scores from ordinal comparisons. Kurate also tracks a "Gap" metric as the difference between the tournament ranking and the standalone rating. When the gap is positive, the paper performs better in head-to-head matchups than its solo score would suggest. This is often a sign of genuinely novel work that's hard to rate in isolation (e.g. due to methodological issues) but wins when compared directly.
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Saeed Vaziry ⚡
Saeed Vaziry ⚡@saeed_vz·
Cooking the android app 🧑‍🍳
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Luke Pierce
Luke Pierce@lukepierceops·
Yesterday I said stop selling AI for $2-5k. Here's what you should actually be selling instead: Phase 1: Audit ($3K-$5K, 2-4 weeks) Phase 2: Build ($25K-$60K, 6-12 weeks) Phase 3A: Dev Retainer ($3K-$8K/mo, ongoing) Phase 3B: Maintenance ($500-$2k/mo) For mid-market ($10M-$50M ARR), shift up: Audit: $4K-$6K Build: $35K-$75K Retainer: $5K-$10K/mo For enterprise ($50M+): Audit: $7.5K-$15K Build: $75K-$250K+ Retainer: $10K+/mo The audit is the wedge. The audit is what separates you from every 22-year-old with Claude Code who'll build whatever they're told. You're selling the map. The build becomes inevitable once they've seen the map.
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Teknium 🪽
Teknium 🪽@Teknium·
Our first dive into Multi-Agent Coordination and Cooperation is here, with Hermes Agent Kanban Orchestrate tasks across multiple agent profiles and dependencies easily and visually. Achieve more. See the docs here: hermes-agent.nousresearch.com/docs/user-guid…
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Nous Research@NousResearch

Hermes Agent now has multi-agent via the Kanban, new in v0.12.0. Agents claim tasks from a board, work in parallel, and hand off when blocked. You watch progress and unblock from one easy view instead of juggling terminals. We asked it to plan and make this video about itself:

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Bryan Johnson
Bryan Johnson@bryan_johnson·
guys you’ll never believe where I found the fountain of youth
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Denis Wirtz
Denis Wirtz@deniswirtz·
Big paper coming out soon. Using AI, we mapped embryos of mice, alligators, turtles, rhesus macaques, and chickens in 3D and at single-cell resolution. We discovered something truly remarkable...stay tuned!
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🇦🇪 HGS
🇦🇪 HGS@Sajwani·
SpaceX ride hailing: London to Dubai 🇦🇪 39 minutes Tokyo to Cairo 27 minutes Sydney to New Delhi 31 minutes Los Angeles to Abu Dhabi 🇦🇪 33 minutes Starship is the future 🚀 …. Elon Musk is a genius !
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Jay Yu 🐟
Jay Yu 🐟@0xfishylosopher·
"tokenized startups" will be the next meta. been tracking this space since january for my "structure of ICM piece". a few thoughts: > the goal of "tokenized startups" is to allow broader access (at least in price action) of VC-gatekept startups, creating "Internet Capital Markets" in the truest sense. > today, the fastest growing companies (SpaceX, Anthropic, Stripe) stay private for years/decades. access is gatekept, rather than like the IPOs of 20-30 years ago, when 18-month-old companies like Netscape could IPO. > the market has responded with adhoc fixes, the most obvious being the SPV which have grown 500% in last 2 years. the market's thirst for venture-performing assets needs to be quenched. > the idea for "tokenized startups" is not new - it rhymes with many things, including ICOs, DAO funds, tokenized SPVs, token-equity standoffs (eg. Aave/Axelar) , ownership coins, pre-ipo perps. > what's new is the set of primitives being used to build things (eg. closed end funds with Robinhood/USVC, tokenized SPVs with PreStocks, MetaDAO style launchpads, Ventuals styles perps). It's the wild west of experimentation. > the design space is just getting mapped out around now - some open questions include: 1. early stage vs late stage? are founders receptive or adversarial to tokenized markets? 2. pure price exposure (eg. via perps) vs. spot backing? 3. legal entity - SPV? Delaware CEF? Cayman token foundation? i would not be surprised if the major SF accelerators (YC/HF0/SPC etc.) are all actively experimenting on tokenization designs. having a "tokenized" basket of each batch (eg. YC W26) might unlock a ton of demand. more research on this topic incoming.... stay tuned....
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