I've started testing every tokenized stock the same way now. Two questions. What's actually behind it, and does it trade like the real thing. Most fail one or both. That's the part that's been bothering me about this category for a while. rToken from Bitget is the first one where I actually got a real answer on both counts. Each rAAPL or rTSLA is backed 1:1 by a real share sitting with a regulated broker. The proof isn't a claim, it's the dividend that actually lands in my account, or a split that reflects properly. A synthetic token just can't do that. It either happens or it doesn't, and it happened. They're also rolling out daily audit reporting soon, so instead of taking the backing on faith, anyone will be able to check it themselves on a rolling basis. That's the part I actually want to see Then there's how it trades. Most tokenized products run on thin internal books, and you don't notice until you size up. rToken taps directly into NASDAQ and NYSE liquidity, so my fills have stayed close to where I expected instead of sliding through levels. Genuinely didn't expect a tokenized stock to pass both tests this cleanly. Still want to watch how it holds up through real volatility, but this is the first one that's made me actually reconsider how I think about the category.

This guy spent 4 years building his Obsidian vault... and the biggest lesson wasn't taking more notes. It was building a system he actually opens every day. "4 years using Obsidian and what I use every day." Most people treat Obsidian like a digital filing cabinet. He turned it into an operating system The biggest takeaway: Your second brain shouldn't just store information. It should actively help you think, retrieve, prioritize, and improve your work every single day. If your notes aren't changing how you work, they're just digital clutter. Watch the full video for a complete walkthrough of his 2026 Obsidian setup and then read the article below. Follow @damidefi for more AI alpha, practical workflows, and cutting-edge productivity systems before everyone else catches on.

Jamie Dimon, CEO of JPMorgan, stood on a stage next to Dario Amodei on May 5 2026 and described building a full Treasury dashboard with Claude Code in 20 minutes over a weekend. Asset swaps. Bid-ask spreads. Investment grade analysis. Production-ready output. On his own. Anthropic launched the same tools to the public the same day. Here is exactly how to set them up and what they actually produce.

GIVEAWAY $1,000 USDT for the most creative build on LinqProtocol. Deploy a 30-day VM. Build whatever you want on it. The community votes for the winner. HOW TO ENTER Deploy a VM, build your project, then tweet it with all of the following: 1. Tool name 2. Your route link (e.g. - see video 👇 3. Tag @linq_ai 4. #LinqProtocol# 5. Cashtag $LNQ Enter as many times as you like. Every entry must be public on X with the info above. WINDOW Friday 03 Jul 0001 UTC to Sunday 05 Jul 2359 UTC. VOTING Community poll in our Discord (Monday 06 Jul). Verified members only. Most creative build takes the $1,000 USDT. Deploy now. Build anything. Winner takes $1,000 USDT.

President Trump Just Disclosed Over $1.4 Billion in Crypto Holdings But How Are USA 🇺🇸 Coins Actually Performing This Week? $SOL: +12.2% $BCH: +10.0% $AVAX: +9.2% $KAS: +9.5% $XLM: +3.6% $ADA: +3.3% $ONDO: +3.0% $LINK: -0.9% $RENDER: -1.7% $UNI: -3.1% $XRP: -3.1% $HBAR: -6.7% $SUI: -6.32% $DOGE: -6.2% Six out of ten in the green, more winners than losers for the first time in weeks. $SOL leading the charge at +12.2% while $DOGE takes the worst hit at -6.2%. The president's disclosure spans 927 pages and includes $635M in meme coin royalties, $526M from World Liberty Financial, and $50M+ in Bitcoin cold storage. He's all in, and the market seems to be slowly noticing. Is this the beginning of a real USA coin rotation, or just a brief reprieve before the red returns?

Jamie Dimon, CEO of JPMorgan, stood on a stage next to Dario Amodei on May 5 2026 and described building a full Treasury dashboard with Claude Code in 20 minutes over a weekend. Asset swaps. Bid-ask spreads. Investment grade analysis. Production-ready output. On his own. Anthropic launched the same tools to the public the same day. Here is exactly how to set them up and what they actually produce.

"FABLE 5 ISN'T JUST A STEP BETTER... IT'S A GARGANTUAN STEP FORWARD." That's how one AI expert described Claude Fable 5's return. After watching the breakdown, these are the first things I'd do: → Review and upgrade any code written while Fable 5 was unavailable. → Let Claude test your app like a real user with browser control, then generate UX improvements. → Use it as a business strategist to uncover new products and revenue opportunities. → Schedule recurring security audits with /loop to continuously scan your API endpoints. → Connect X MCP to turn your posts and audience conversations into startup ideas. → If you're building games, pair it with Unreal MCP for dramatically better results. → Reverse-prompt it: Ask Claude which parts of your daily workflow it can automate instead of guessing yourself. The biggest takeaway: The people winning with AI aren't just using better models. They're building repeatable workflows that compound every day. If you're using Claude or planning to, this video is packed with practical prompts and workflows you can implement immediately. Watch it, then follow @damidefi for more AI alpha before everyone else catches on. Video cred: Alex Finn (Youtube)

Life after realizing Claude shortcuts are not broken; they only work when you give them specific context. A shortcut alone is vague, but a shortcut plus a real problem produces much better output. Use stronger models for deeper reasoning, and lighter models for simpler, faster tasks. The most useful modes help with planning, writing, learning, coding, and finding blind spots. The real advantage comes from chaining modes together instead of treating Claude like a search box. Read the full article, bookmark it for later, and follow @DamiDefi for more Claude tips like this.

Most People Still Think $RENDER Is Just a 3D Rendering Token. The Network It's Becoming Is Much Bigger. @rendernetwork is building a subnet architecture independent specialized networks each with their own hardware matching, job routing, and reward systems running on the same base layer. Here's what's actually happening under the hood: → Original rendering subnet: live and battle-tested for Blender and OctaneRender workloads. → Dispersed AI subnet: launched Q4 2025, now routing GPU compute for AI inference and training. → Salad subnet: approved April 2026, adding 60,000 GPUs paid out in $RENDER, one of the biggest single capacity expansions to date. The architecture is being built quietly. The market hasn't priced it in yet.

$ONDO price is down -83% since 2024. Meanwhile: - TVL crossed $3B+ - Tokenized stocks are now live on Uniswap - 430+ stocks and ETFs are moving onchain - Tradable across Ethereum and BNB Chain Undervalued for sure

Securitize is set to become the FIRST RWA tokenization firm to list on the NYSE as SECZ on July 2. $ONDO at $0.31, $LINK $7.15, $CFG at $1.19. Which RWA token benefits most from institutional legitimacy?

LinqAI is sitting at a $1.1M market cap right now. Akash is at $185M. Golem at $98M. io net at $60M. Render at $815M. All of them are decentralized compute. All of them are doing what @linq_ai is doing, some with less infrastructure, some with more hype, all with significantly more market cap. Real Kubernetes. On-chain payments. Up to 82% cheaper than AWS. Hacken audited smart contracts. That's running infrastructure. The gap between where $LNQ is priced and where its peers are sitting is either a massive oversight or an early opportunity. I know which one I think it is.

Few months ago my cousin walked into a bank a few months ago to apply for a personal loan. Two hours later he walked out with a stack of documents they needed from him, a list of requirements he didn't meet, and zero money. His income comes from trading and content, apparently that doesn't count as "verifiable" to them. He genuinely gave up. Figured it just wasn't worth the headache. Then a few weeks later he came across @CLIXloans while going down a rabbit hole online. A global lending marketplace that actually recognises digital income, crypto earnings, freelance revenue. AI credit scoring that looks at your full financial picture instead of a system designed for someone with a 9-5 and a payslip. The infrastructure alone got his attention. Hacken is handling the smart contract audits, BitGo on compliance and custody. These aren't small names. The ICO is coming and we're both paying attention to this one. If you've ever felt like the traditional credit system wasn't built for the way you earn, check them out at #DYOR#.

$BTC monthly is touching the lower Bollinger Band for the first time since the 2022 bear market bottom. I've seen what comes next. The monthly chart is doing something it has only done twice before in this cycle. Both times it resolved violently upward. Price peaked near $109K in late 2025, failed to sustain above the Bollinger midline at $88,781, and has since been walking down toward the lower band sitting at $53,361. What makes this setup particularly interesting is the BB width itself. After a massive expansion through all of 2024 into 2025, the bands are beginning to contract again on the monthly a classic squeeze setup that precedes the next large directional move. The SMA at $88,781 is now acting as resistance above, and the drawn horizontal around the $80K zone confirms where the first real ceiling is on any recovery. RSI at 40.96 on the monthly is approaching oversold territory. The last time monthly RSI hit this level was mid-2022 right before the cycle bottom not a guarantee but worth noting. MACD histogram has been printing red for several months and is now showing early signs of compression, which on a monthly chart is a slow but meaningful signal. Bias is cautiously bullish from current levels. A monthly close above $65K reclaims structure. A close below $53K invalidates the bounce thesis entirely and opens the door to a retest of the $40K range.

THIS META ENGINEER SPENT 6 MONTHS IN CLAUDE CODE... AND HIS BIGGEST BOTTLENECK ISN'T WRITING CODE ANYMORE. It's reviewing AI-generated code. Key takeaways: • Start every feature in **Plan Mode**, not Edit Mode. • A clean `CLAUDE.md` is your AI's operating manual. Keep it concise. • Validation loops > better prompts. Give Claude ways to verify and fix its own work. • Fresh context beats bloated context every time. • Run multiple Claude instances in parallel instead of waiting on one. • Let Claude manage its own rules, skills, commands, and workflows. • MCPs are powerful, but only install what you actually need. • The best AI engineers aren't faster typists. They're better context engineers. The biggest shift: You're no longer programming the computer. You're programming the AI that writes the software. If you're serious about AI coding in 2026, this is one of the most practical breakdowns you'll watch. It goes far beyond prompts and shows how elite engineers actually structure their workflow. Video cred: John Kim (Youtube)