Digital Asset Hustler

Building Wealth through leaning and investing for the now and long-term.

[Julian Goldie SEO @JulianGoldieSEO]

2 minutes later, I had a finished website.

Open Design turns your AI agents into a free design studio.

→ Build websites
→ Create dashboards
→ Make slide decks
→ Generate images
→ Edit everything with chat
→ Run it with free/local models
→ Keep it inside your own machine

Design used to be the bottleneck.

Now it’s one sentence away.

Save this video, you’ll build faster.

Want the SOP? DM me. 💬

[Charly Wargnier @DataChaz]

HOLY F*CK, YOUR AGENT LITERALLY GOT ITS OWN PERSONAL EMAIL 🤯

@Atomic_Mail just dropped, and it lets your AI agents register their own autonomous inboxes *without* needing a human in the loop.

If you build agentic workflows, you know that connecting them to traditional email APIs like SendGrid or Resend is a freaking pain.

Those platforms require human verification, credit cards, domain setup, and all the usual nonsense...

Now, when an agent has its own email, your workflows completely change.

Just a few examples of what you can do:

Newsletter Intelligence:
→ your agent can subscribe to 50 newsletters, reads the noise, and emails you a single daily digest of actual signals.

Multi-Agent Coordination:
→ a research agent emails its findings to a writer agent. Email becomes the universal, auditable message bus.

Support at the Edge:
→ an agent handles the support@ inbox end-to-end, querying your knowledge base, and only forwarding emails to humans for complex edge cases.

It's powered by a JMAP API built by the @atomicbot_ai team, and agents spin up accounts using Proof-of-Work instead of credit cards.

Heck we are entering a very cool era of AI automation 👀

[Krishna Agrawal @Krishnasagrawal]

This guy in 16 minutes teaches you how to monetize a YouTube channel in just 9 days. Save it; it’ll be incredibly useful for you.

[Brian Armstrong @brian_armstrong]

Now you can use your favorite AI agent to control your Coinbase account (or a sub-account), with Coinbase for Agents.

Here’s a quick demo on how to set it up and some of the cool things you can get your agent to do.

[Chrome @0xchromium]

Andrej Karpathy spent 2h showing how he actually uses AI day to day

he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching

and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker

watch what's actually happening the entire time:

> he describes the task in normal words
> it goes off and does the work
> he glances at the result and nudges it with one more sentence

that's the whole skill, and you've had it since you learned to talk

the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act

check his work, then build the version that keeps working when you stop

[GREG ISENBERG @gregisenberg]

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins):

TLDR; the coolest part is that apps you build can update themselves autonomously

1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them.

2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive.

3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage.

4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds.

5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them.

6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero.

7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks.

8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs.

9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few.

10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now.

Tbh, Codex sites isn't perfect. Still a lot to be desired like domains, db, authentication etc.

But it's a glimpse into this idea that apps can be updated/improved upon automonously.

And Codex Sites is REALLY good if you live in Codex everyday. Which more and more of are.

And that's really cool. Will be interesting to see how Lovable, Bolt, Replit etc react to this.

full tutorial on @startupideaspod where you get your pods

https://t.co/vKRQL70Nds

watch

share with a friend

i'm rooting for you

What do you think of Codex and Codex sites?

[Digital Asset Hustler @Capps37]

@UpholdInc LFG CLARITY ACT

[Quant Data @QuantData]

Platforms charge $700/mo for options data.

We built our own GEX & VEX exposure Heat Maps...and made them cost $70/mo.

Built by a team from Nasdaq, Amazon, and Microsoft. Licensed exchange data. 6,000+ tickers, real-time.

1/10th the cost. 10x the capability. 7 days free.

[0xMarioNawfal @RoundtableSpace]

HERMES AGENT V0.15 JUST FIXED 6 PAINFUL PROBLEMS. FASTER STARTUP, MULTI-AGENT SWARMS, PROMPT INJECTION PROTECTION AND PUSH NOTIFICATIONS WHEN JOBS FINISH.

This update feels less like a chatbot and more like a small AI team.

[Nous Research @NousResearch]

We have been working closely with @nvidia to ensure Hermes Agent works smoothly on their new @NVIDIARTXSpark superchip and integrates with the new OpenShell runtime, which connects Hermes to @Microsoft's security primitives.

Watch our feature in the big announcement at Computex:

[THE QANON 1776 @QAnon_1776_]

THE “10,000 XRP FAMILY” GENERATIONAL MODEL

How one wise decision reshapes 100 years of a family’s destiny.

𝗬𝗘𝗔𝗥 𝟬 — THE FAMILY FOUNDATION

The founder accumulates:

10,000 XRP

Price today? Doesn’t matter.
The starting point is the decision.

The Family Rule: “We Never Sell XRP.”

We own, we stake, we borrow, we build, we teach.

𝗬𝗘𝗔𝗥 𝟭𝟬 — XRP AT $1,000

You now hold:

10,000 XRP × $1,000 = $10,000,000 net worth

You’re officially a decamillionaire - on paper - without selling anything.

Income Scenario 1: Simple Passive Yield (4% annually)

This is conservative for institutional staking/lending in a mature XRPL world.

4% yield on $10M = $400,000 / year

And you still own all 10,000 XRP.

That’s $33,333/month

For doing nothing but holding an asset and being patient.

Income Scenario 2: Borrowing Against XRP (like the wealthy do)

You borrow 10% of your collateral value:

$1,000,000 loan at ~3% interest

(using the asset as collateral, not selling)

Use that capital to:
• buy rental real estate,
• start a business,
• fund education,
• acquire more assets,
• help your children,
• or invest in yield-bearing instruments.

The wealthy always borrow, almost never sell.

You do exactly the same.

Income Scenario 3: Mixed Strategy

Yield + borrowing:
• $400,000/year passive yield
• $1M borrowed cheap capital
• both with zero sales of XRP

At year 10, your family is living a banker lifestyle, not a consumer lifestyle.

𝗬𝗘𝗔𝗥 𝟯𝟬 — XRP AT $5,000

Your original 10,000 XRP - untouched - is now:

10,000 XRP × $5,000 = $50,000,000 net worth

That is $50 million, built from patience, discipline, and vision.

And you didn’t sell one single token.

Income Scenario 1: 4% Yield

4% on $50M = $2,000,000 yearly income

That’s $166,666/month, every month, forever.

This is the kind of generational cash flow families use to:
• end poverty in the family line
• fund education
• purchase property
• support ministries, missions, charities
• build organizations and businesses
• eliminate debt traps
• create opportunity for generations to come

And again…
you still hold every single XRP.

Income Scenario 2: Borrow Against the Asset

Borrow 20% at year 30:

$10,000,000 at 3% interest

Collateralized, not sold.

With $10M in cheap capital, a family can:
• buy commercial real estate
• fund multi-generational family businesses
• build a development company
• acquire farmland
• invest in infrastructure
• build a school, academy, foundation
• create an endowment
• fund philanthropic missions

Your XRP remains intact, untouched, sovereign.

Income Scenario 3: Family Bank Model

The family establishes:
• a family trust
• a family bank entity
• a lending & yield strategy
• educational systems for future generations

Annual lifecycle:
• $2M yield income
• $10M collateralized credit line
• $0 XRP sold

This becomes a 100-year engine.

𝗧𝗛𝗘 𝗧𝗥𝗨𝗘 𝗣𝗢𝗪𝗘𝗥: 𝗧𝗛𝗘 𝗠𝗜𝗡𝗗𝗦𝗘𝗧 𝗧𝗛𝗔𝗧 𝗚𝗘𝗡𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦 𝗟𝗘𝗔𝗥𝗡

Your children and grandchildren learn:

How to own assets

How to never sell the golden goose

How to live off yield

How to borrow smart, not sell dumb

How to think like a bank, not a consumer

How to serve, build, steward, multiply

How to use patience as a superpower

How to avoid the traps of debt, inflation & scarcity

This is how families rise from:
• working class → stable
• stable → prosperous
• prosperous → generationally sovereign

#DLT #XRPL #ILP

[Sam Bhagwat @calcsam]

We're launching Agent Builder, your internal agent platform:

- Devs write tools, select models, build workflows
- Non-dev teammates assemble into agents (or vibe code), chat, publish
- Includes RBAC, ownership, and visibility controls
- Under the hood everything's Mastra agents

[Nous Research @NousResearch]

Step 3.7 Flash is now free for 30 days via Nous Portal

It is a new MoE vision-language model focused on agent efficiency, coding, search, and multimodal workflows — and Hermes Agent users have been loving it, so thank you to @StepFun_ai for hooking them up!

[Y Combinator @ycombinator]

It’s never been easier to design your dream house.

Draw a shape. Define your rooms. Set your constraints.

@DraftedAI generates complete floor plans, elevations, and 3D home designs in seconds.

Over the last month, 120,000 people generated 325,000+ home designs with https://t.co/XqC0LP5n3y.

[CJ Zafir @cjzafir]

Codex 5.5 using Deepseek v4 pro+ MiMo v2.5 to generate fine-tuning datasets.

> 5 hours in,
> 8130 rows approved,
> $7.87 total cost

Both models are writing handcrafted rows and then Codex verifies (accepts or rejects) each batch.

Result: High Quality Synthetic Dataset at 40x less cost.

NO VC money, NO Lab,
Just me, 20x Codex pro plan and /Goals.

[Digital Asset Hustler @Capps37]

@ameliahazelai Skills

[Framer @framer]

Introducing the Framer F1 Keyboard. A low-profile mechanical keyboard with an aluminum body, built-in display, and programmable controls, built together with @work_louder. Pre-order now at the link below!

[Movez @0xMovez]

Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch.

This 2-hour Stanford lecture gives you the exact pipeline LLM engineers get paid $750K/year for.

Data + architecture + scaling laws + post-training.

Bookmark it & watch today. Then read article below.

[Khushi Agarwal @Aicoder786]

ANDREJ KARPATHY COULD HAVE CHARGED $2,000 FOR THIS COURSE.

He put it on YouTube.

The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo.

3 hours of the most comprehensive LLM education that exists anywhere at any price.

Not how to use the tools.

How the entire system was built from the ground up and why it behaves the way it does.

The engineers who understand this build things the ones who only use the tools cannot even conceive of.

The gap between those two groups is not 3 hours.

It is everything those 3 hours quietly unlock for the rest of your career.