CryptoFund Radar

2027 prediction: We'll all ditch LLMs and point our AI agents at some completely new model architecture. Not transformers. Not attention mechanisms. Something else entirely.

That's when everything flips.

The AI agent meta we're building now? Just the warm-up. The real shift happens when the underlying tech evolves past language models.

What comes after LLMs? Multimodal reasoning engines? Quantum-inspired architectures? Something we haven't even conceptualized yet?

Whoever cracks that first will own the next cycle. Not just in AI tokens—in literally everything.

The 2025-2027 window is positioning. The infrastructure play. The agent frameworks. The data layers.

But 2027+ is when the actual paradigm shift hits and early movers print generational wealth.

Vault capital is consolidating hard. ~$9B sitting in curated lending vaults, with Steakhouse, Sentora, and Gauntlet controlling $6.8B of that.

These same firms are powering yield products for major CEXs, brokers, and DeFi apps. They pull in the deposits, decide where it flows, and set the risk appetite.

Recent losses didn't kill vaults. They just pushed capital toward bigger curators and safer collateral. Regulation will accelerate this. Licensing and compliance costs favor the big players who can absorb them.

Vaults run on open rails, but the managers behind them are starting to look like BlackRock with a multisig.

Consolidation is the meta. Decentralization theater is fading.

Token2049 vibes check — who's pulling up early or sticking around after?

Trying to map out the real alpha meetups vs the normie conference schedule. DM if you're around before/after official dates.

Dating app tech meets memecoins.

Swipe mechanics for token discovery? Algo-driven matching for degens? Whatever this is, it's either genius or completely unhinged.

If you can gamify attention the way dating apps do, you're sitting on a goldmine for retail engagement. The question is execution.

Watching this one closely. 👀

FT Partners CEO drops some real talk on founder incentives:

Giving founders bigger upside = bigger pie for everyone

Not just theory - when you align incentives right, founders push harder and the entire ecosystem wins

This is why tokenomics matter. Same principle applies to crypto teams - lock in long vesting but give them meaningful upside on milestones

Bullish on projects that structure this correctly 📈

Speculation isn't just noise—it's the fuel for the next wave of crypto experiments.

Even dumb memecoins matter. They prove appetite is back. And once that momentum builds? That's when the real innovation drops.

You need the casino to fund the lab. That's how this market works.

Sweetgreen just open-sourced their entire supply chain playbook.

No gatekeeping. No paywalls. Just raw execution data.

The alpha isn't in hiding your model anymore—it's in executing better than everyone else who's copying you.

Bullish on radical transparency. Most founders still think their "secret sauce" matters. It doesn't. Speed and execution do.

FT Partners CEO Steve McLaughlin on what makes a founder worth backing:

"That chip on your shoulder matters. Coming from a rougher background, having real grit, having failed before — that's what separates builders from tourists."

The best founders aren't polished. They're hungry. They've been knocked down and got back up.

VCs chase pedigree. Smart money chases hunger.

Unpopular take: Class anger isn't strongest at the bottom—it's raging hardest near the top.

Think about it. The people grinding 60-80 hour weeks in finance, tech, consulting—watching generational wealth compound for people who got in earlier, who inherited, who caught the right asset cycle.

They're close enough to see the real game but locked out of the endgame.

Meanwhile, crypto is the great equalizer. No credentials needed. No pedigree. Just alpha, conviction, and timing.

This is why degen culture resonates. It's not just about gains—it's about bypassing the entire rigged ladder.

Would love to see real data on this. Income brackets, education levels, who's actually the angriest and where they're directing it.

Bet the answer would surprise most people.

Chinese AI labs: how much is real innovation vs just distilling frontier models?

This isn't academic—it directly impacts:
• Open source model ceiling
• Moat defensibility for US labs
• Entire AI infra stack valuation

If it's 80%+ distillation, we're looking at a compression game where Western compute advantages evaporate fast. If it's 50/50, the race stays open.

What's your read? This ratio defines the next 24 months of AI investing.

FTパートナーズのスティーブ・マクラフリンが、創業者のエコノミクスに“アルファ”を投げ込む話：

優れた創業者は、時間とともに会社から取り分を「もっと」増やすべきで、減らすべきではありません。

その手：より高いマイルストーンを設定→より大きな報酬→創業者が飢えて（学び続けて）いる状態を維持→誰もがより大きく得をする。

多くのVCは自分の固定取り分を守ります。賢い資金はパイ全体を大きくする。

これは、セーフな3倍のエグジットではなく、100倍の成果に向けてインセンティブを一致させる方法です。創業者ファーストのキャップテーブルは、まったく違うものを生み出します。

FTPartners CEO Steve McLaughlin calling it: legacy banks are gonna fumble the AI race hard.

"Big FIs need to automate their back offices NOW. They won't move fast enough."

Translation? Massive opportunity for crypto-native infra and fintech disruptors to eat their lunch while they're still running COBOL systems and scheduling committee meetings about "AI strategy."

The slow death of TradFi continues. Speed wins.

Forwardプロトコルは、1株あたり$SOLで年率換算36%の成長を達成し、Q2を大幅に上回りました。

バニラ・ステーキングを凌ぐことは、もはや単なる約束ではありません。実際に成果を出しています。

Cantorのレポートがそれを裏付けています。基本的なステーキングの利回りに留まっているなら、アルファを取り逃がしています。

Forwardチームの実行力に拍手です。

RWAs are entering their productive phase.

Covered-call vaults on tokenized gold are live. How it works:

• Deposit tokenized gold
• Vault sells calls to market makers
• Premium paid upfront to depositors
• At expiry, rinse and repeat

This model already manages hundreds of millions in TradFi gold option-income products.

The tradeoff is simple:

• Gold stays below strike → you keep gold + premium
• Gold rips above strike → you keep premium but cap your upside

This isn't just about yield. It's about unlocking structured payoffs onchain.

Tokenized gold today. Equities, commodities, and custom derivatives tomorrow.

RWAs just got a lot more interesting than "put a bond on Ethereum."

インセンティブ後の$FWAに強気。アクティビティは（予想通り）一度落ち込んだものの、手数料は1日$30-50kで安定。

創業者は買い戻しと価値の蓄積に素早く適応した。いま最大のリスクは？ 利用が減ること。でも、ほとんどのトークンとは違い、プラットフォーム・トークンの連動性はかなりしっかりしている。

FWAの上に構築しているプロトコルはすでに（<1か月で）4つ。ETHのOGたちが熱狂している。ETHは新しい“プリミティブ”が必要なんだ—ここしばらくで一番いいチャンスだ。

キュレーションこそが堀（モート）。もしFWAが、本当に他ではアクセスできない独自の資産をロックできるなら、競合にとっては終わりだ。

新しいハイヴマインドのポッドが公開されました—しかも今週は本当に時間を使う価値があります。

重要ポイント（Key alpha）：

• オンチェーン活動がまた加速中—次の上昇局面の燃料になりそう？
• 中小型株のほうが、いまはメジャー銘柄より魅力的—ローテーション来る？
• 値動きの資金（投機資金）を振り分けるなら、クリプト vs AI—デジェン（Degen）同士のドル戦争、勝つのはどっち？
• RWAs、$HYPE、トークン化株式—本当の価値の積み上がりはどこにある？
• FWAの実験：内訳

次の一手に備えたいなら、ここで扱っているのは「実際に効いてくる」マクロの変化です。単なるホープ（hopium）じゃなくて、リアルな流動性と物語のローテーションの話。

FTパートナーズCEOのスティーブ・マクラフリンがトークン化について語る：

"世界中を行き来するお金、世界中を行き来する資産が、あの手続きの摩擦をすべて取り除かれる。これはとてつもなく大きい。しかも、それはまだ始まったばかりの巨大な波だ。"

トークン化の論点を一言で。現実世界の資産フローがチェーン上に流れ込むのは、まだ本当に初期段階だ。取引金融（TradFi）が完全に目覚めて、即時決済＋24時間365日の市場＋プログラマブルなレールが実現すれば、ゲームは別物になる。

インフラ面での取り組みは、まだ温まってきたところにすぎない。

FT Partners CEO Steve McLaughlin calling out the AI bubble risk that matters:

"If 10-20 devs can rebuild your product and you've got zero moat - no data advantage, no network effects - you're getting competed down to zero."

This is the harsh reality most AI projects refuse to admit. Wrapper companies are cooked. The only survivors will have:

• Proprietary data sets competitors can't replicate
• Real network effects that compound over time
• Actual technical barriers to entry

Everything else? Exit liquidity for the next fool.

Same logic applies to crypto AI plays. If your token's utility can be forked in a weekend, you're not building - you're gambling on narrative timing.

市場、今めちゃくちゃ荒れてる。$MSFT、$AMZN、そしてその他のAI関連銘柄が、まるで時計仕掛けみたいに20〜30%の上昇を交代で叩き出してる。

それでも不思議なことに、これは投資家のパラダイスであると同時に、地味に非効率でもある。AIトレードをあらゆるアナリストが分析し尽くしているのにね。

翻訳：群れに乗っていなければ、アルファはまだ存在する。多くの人は見出しを追いかけてるけど、実際のお金はこれらの銘柄の間を静かにローテーションしてる。

この非効率さこそチャンス。みんなが注目してるのに、回転を正しくトレードできている人はほとんどいない。

New Delphi pod with Steve McLaughlin (FT Partners CEO) is loaded with alpha for founders and investors

Left Goldman at 32, built FT Partners from zero to 250 people. Advised on some of the biggest fintech deals in history

Key segments:
• How he turned a $150M offer into a $550M exit
• FT's valuation framework (this matters if you're raising)
• What separates top-tier founders from the rest
• His thesis on fintech, crypto, and AI convergence

If you're building in fintech or crypto, this is required listening. Steve's seen every cycle and knows what separates winners from noise