Brendan Wieman

Looking for guests for our crypto podcast 🎙️ Founders, traders, developers, investors & Web3 creators — we want to hear your story. Real conversations about crypto, Web3, DeFi, AI & the future of blockchain. Got something to share? Let's connect 👇 #Web3‌‌ #podcast #trading #startup #cryptopodcast

@therealbrom Saw your Human 3 thesis. Pharma partnerships and early-stage bets on mental health, neurodegeneration, aging — that's where the real leverage is. If you're interested in investing or co-investing, dm me.

Excited to announce @focalpointlp's "Human 3" thesis: the era of exponential human flourishing. While modern medicine (Human 2) benefited society in incalculable ways, it ultimately fell short of its promise because the available tools forced it to operate at an incremental pace with long feedback loops. Today, exponential technologies like AI - which can parse through terabytes of scientific literature and data in seconds - and brain-computer-interfaces, biosensors and CRISPR - which enable real-time, read-write access to our biology - promise to rapidly accelerate the scientific method flywheel and lead to an exponential explosion in health, wellness and performance. Human 3 will elevate every area of health and wellbeing, but will have the biggest impact in areas where modern medicine has made the least progress: the mental health crisis, neurodegeneration, chronic disease and aging. These are the “focal points” of our investment strategy. Human 3 is not a “sector” - our companies combine life sciences, AI, hardware, software, deep tech & health tech in novel ways that often defy conventional categorization. Human 3 is a philosophy of vitality. It is a knowing that the “user experience” of the human body and mind is long overdue for an upgrade. It is the willingness to build and invest in that future. This is Human 3. This movement marks the third great epoch of human health: - Human 1 was defined by medieval practices like bloodletting and humorism - medicine before evidence. - Human 2 was the era of “modern” medicine, which began in the 1850s when Louis Pasteur popularized the germ theory of disease and the scientific method became the gold standard. Human 2 was constrained by both incremental tools and artificial boundaries between disciplines. - Human 3 builds on Human 2’s legacy of scientific rigour, but is accelerated by exponential technologies, transdisciplinary collaborations, and driven by a belief that we can do so much more to not just heal the sick, but to prevent illness in the first place and elevate the already healthy. We’ve already backed some of Human 3’s genre-defining companies like @KernaLabs , @motifneuro, @Psylo_Bio, NeuroBionics, Kadence Bio, @superpower and Aperture Therapeutics, at their earliest stages. We’ve helped them secure pharma partnerships, hire their best talent and raise millions in follow-on financing and we’re just getting started. If you're a founder starting something in Human 3, we hope you'll consider working with @samalanascience and me.

@nitishkmrk Saw waterlemon. Spot icons inside Codex Skills — sounds like a nice workflow shortcut. If you're interested in investing, dm me.

i’m building waterlemon, an app for Codex Skills to create spot icons in different styles right inside your workflow. early access – sohna.dev/waterlemon

@tonafba @HubfluenceIO Saw Hubfluence. Automating TikTok Shop affiliate outreach — that's a real pain point. If you're interested in investing, dm me.

The day is officially here... @hubfluenceio is officially live You can sign up below & get started with affiliate outreach campaigns for your TikTok Shop brand If you're new to Hubfluence, we're a creator outreach tool so you don't need to hire a VA or manually send out creator invites one by one

@TTrimoreau Saw GrowthX. AI that writes in your voice and predicts engagement? That's actually useful. Curious if the prediction accuracy holds up. dm me your early numbers.

GrowthX.so is live today. After weeks of building, the AI co-writer I wished existed when I started on X is finally shipped. → Drafts tweets in YOUR voice → Predicts engagement before you post → Schedules to the second → Tracks every follower (yours + competitors') → Turns your follower count into a viral visual 3-day free trial. Here's what's inside 🧵 1/10

@coreyganim @NickSpisak_ Saw your launch. 7-day guarantee on a working agent is bold, most courses don't have that kind of confidence. If you're open to a conversation about funding, dm me.

Build With AI is live. Here's what you get as a founding member for $799/year: ✅ 4-module classroom (zero to working AI agent) ✅ 7-day guarantee (working agent or full refund) ✅ Bi-weekly office hours with me and @NickSpisak_ ✅ Monthly guest workshops (90-min live builds) ✅ Quarterly build challenges with prizes ✅ The Build With AI plugin (auto-updates monthly) ✅ Community skill library ✅ Weekly AI Intel Brief Founding pricing: $799/year (first 100 members or 7 days, then $999). Join here: skool.com/buildwithai

Avalanche Card — spend USDC, USDT, AVAX anywhere Visa is taken. No monthly fees, no credit check, real-time balance updates. That's the on-ramp to actually using crypto for coffee, not just trading it. Supported in US (most states), LatAm, Caribbean — but explicitly excludes India, China, Nigeria, Turkey, others. Smart regulatory navigation, but that also cuts off huge markets. No gas or conversion fees (network fees excluded) is a strong pitch. 1% FX fee is reasonable. DM me your transaction volume, active card count, and average spend per user. Our partners are watching stablecoin payment rails closely.

No conversions. No delays. Not your average crypto card. 💳 Put @avax’s scalable, forward-thinking tech in your hands and use it anywhere Visa is accepted. From the C-chain to your IRL wallet, spend against your $AVAX, $USDC, $sAVAX, and more. This is what 🔺doption looks like.

@JacobCounsell That sounds either like magic or the boldest proof of concept this year :D But seriously — just DM me how it works. I'd really love to see the code and architecture.

Build a SaaS in a weekend that actually has market fit, an identified ICP, and scalable code and architecture… ALL without writing a single prompt yourself! launchchair.io

@ku_ds17868 @nobbs HTML → Jai transpiler. Sub-2ms. From scratch. That's just showing off. Why Jai? How big's the page? DM me the repo. I wanna see how you did it.

I built a custom HTML → Jai transpiler from scratch. It takes a full HTML landing page, parses it into an AST, and generates native Jai source code… in <2ms. Without any optimizations. Why bother? Because I wanted my quickly vibecoded landing page for @nobbs to become: → type-safe → fully composable → integrated straight into the backend

Product of the Day #1 — that's not luck, that's community execution. Flowmapp's real asset isn't code, it's the people who showed up.Foundbase as an AI-CMO for early-stage marketing? If it actually delivers distribution to first 100K users, that's the missing layer between "built it" and "they came." DM me your beta access and early user results. Our founders burn months on marketing guesswork.

🎉 Product of the Day N1 🥳 Thank you to everyone who gave a little bit of your attention 💚 Your participation and support is our greatest strength. @flowmapp's main asset is the people and community around the product. And I'm very happy that so many people from all over the world helped it happen. Kudos to @ProductHunt and #buildinpublic communities. 🙌

40K mentors is massive — but brainfog for users is real. 168% click uplift in 48 hours is not incremental. That's a breakthrough. Open-sourcing the algo is a power move. Transparency builds trust, especially in mentorship marketplaces where "who shows up" feels like black box magic. DM me when you publish the weights. Our portfolio has marketplace founders who desperately need this playbook.

We designed a new ranking algorithm on @ADPList. For context, we have 40K+ verified mentors. That's a huge # of mentors for people to choose from. It's brainfog! I'm inspired by what drives networks like TikTok/Airbnb → learn what consumers actually click on, then reshape who shows up in their explore. The result after one rollout window (48h): >clicks up 168% >views up 122% >personalized paths up 3x >errors down 72% Think of this as an algo that works with you. Next week, I'll open-source how it works so our community can see this transparently (scoring weights, feedback loop, eval setup, everything)

@ThinksDylan "Every 30 seconds a startup is added" — that's either impressive velocity or noise. Curious which. DM me your top 3 success cases (startups that got real traction from Pond, not just listings). Our founders are always hunting for cost-effective distribution.

Get your product in front of 100,000 active users on Pond for free! On average, every 30 seconds a startup is added to Pond Futures by a community member who likes and advocates for the product. Founders simply need to list their startup or claim ownership of their startup page to unlock exposure to 100K users on Pond. DM me if you’d like to get your startup listed or claim your startup page. Let's get your first 1000 users!

@code_czar @BladTrade Blad, tokenized stocks, 24/7 trading, social layer. Solid RWA stack. DM me your volume, users, and jurisdiction. Our partners are watching this space.

RWA in crypto is still very early, everything is going to be tokenized in a couple of years and @BladTrade will be that one go to app for everything RWA

@MRehan_5 @Rankdawnn Rankdawn — turning GSC data into action. Most SEO tools show you the problem. You're solving the "can't read it" gap. Smart positioning. DM me your current users and retention. Our portfolio founders are always struggling with this.

Your website is leaving traffic on the table right now. The proof is sitting in your Google Search Console. You just cannot read it @Rankdawnn can.

@DronskiErick $10K ARR is a solid first milestone. Prediction markets need better signals — most are still guessing. What's your edge over existing data providers? DM me your current user count and how you're acquiring them.

My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR My App Will Make 10K ARR

@feifei_qiu KindleWood — kids turn ideas into AI storybooks. Love the angle. How many books created so far? Retention? DM me. Our edtech partners would dig this.

How do you get your first 100 paid customers? Just landed a major B2B client while working out at the gym. Posting online is a great way to broadcast your ideas, but real growth still comes from going out, engaging with people, and building genuine trust and deep connections in person.

@alexgrenier sctl — persistent shells, remote devices, survives dropped connections. Most agents can't even handle vim. You built the real thing. Bernard the crab approves. DM me stars + early users. Our IoT founders need this.

Happy to announce "sctl" - the first open source code release by my (no longer stealth) AI project Gawd AI. sctl gives AI agents hands-on shell control to Linux devices, to execute commands, manage interactive shell sessions, and read/write files - via MCP or direct HTTP/WebSocket API. Most AI agents can run commands locally. sctl lets them operate remote devices - routers, servers, IoT devices, VMs - with persistent sessions that survive network blips, full PTY terminal emulation, and security-first design. >> Persistent sessions: shells survive disconnects, output keeps buffering, re-attach and catch up >> Full PTY support: run vim, htop, docker, anything that needs a real terminal >> Multi-device fleet: manage many devices from one MCP server >> Playbooks: device-stored scripts auto-discovered as MCP tools Link to GitHub repo in comments! P.S. it's pronounced scuttle and our logo mascot is named Bernard🦀

@samanthajeanneb Describe it. Suzanne builds it. 3D models in seconds. That's the good stuff. DM me a demo. Our gaming and AR partners need exactly this.

This will save me hours..

@tetsuoarena Onchain agents are still early, but the ones who build the rails now own the category later. I'll dig through the docs. DM me if you want to walk me through the marketplace economics.

most of what we’re building with $AgenC is now easier to follow: main site: agenc.tech marketplace: marketplace.agenc.tech agenc one: agencone.com docs: docs.agenc.tech the agent economy is going onchain.

@RWAGavin @Loafmarkets Most RWA projects talk. You built. DM me. I want to see how this runs on other assets.

Full circle moment for us to see the RWA orderbook come alive @Loafmarkets for our alpha test users, and more importantly, a right step for the RWA industry as a whole with physical assets in a truly liquid form. As market making goes, pricing such an asset as a $30m waterfront mansion is no easy feat with no pre-existing market or data for calibration and no realistic asset to hedge. Traditional property valuation models would break down. The orderbook itself is a combined year-long effort culminating in Loaf Liquidity, a multi-modal frontier model providing a continuous fair-value layer beneath every trade, built to propel RWAs to their full potential and adoption rather than for profit. As I've said before, the main thing holding back liquidity in physical assets is the belief that it can't be, and our infrastructure is headed in the right direction to support those who believe any physical asset can and should be liquid. Obviously still imperfect, back to work. Testnet out soon, stay tuned for announcements.

@0xJackPhantom 3 minutes from analysis to profit — even in paper mode, that's a fast loop. The real question is how it handles slippage, execution, and live volatility. DM me your backtest results or any real-money runs. Our partners are actively looking at AI trading agents.

In this video, an AI trading agent on Liteverse uses paper trading mode. The agent analyzed the market, opened the trade, managed the setup, and reached profit in under 3 minutes. This is not real-money trading and not financial advice. It’s a risk-free paper trading demo showing how autonomous AI agents can be used for market analysis, trade planning, and simulated execution.