
Clyde
1.8K posts


@juliapintar hey Julia, watched the entire video and loved it, but I was wondering if you were posting the content from the company account or from the ugc creators accounts that post for you?
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Clawdbot + Kling = an AI “wellness expert” affiliate machine
no real doctors
no certifications
no clinic
no filming days
just viral “health tip” videos running nonstop
look at pages like this
one consistent persona
same office setup
same calm delivery
but every video hits a different hook
“if your legs…”
“this is insulin…”
“don’t ignore this sign…”
and they pull hundreds of thousands to millions of views
here’s how it works:
→ clawdbot creates the expert persona, hooks, and scripts
→ kling generates the talking videos and scenes
→ capcut adds captions, pacing, and retention edits
→ affiliate links sit in bio converting the traffic
each video tests a new angle
same character
different symptom
most brands rely on one product video
this system tests dozens every week
the winners get scaled
the rest get replaced instantly
AI didn’t just make content cheaper
it turned affiliate content into a volume game
rt + comment “clinic” and i’ll send the full workflow
(follow for dm)

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@bibatheking hey Biba, just a heads up that I sent you a DM on telegram :)
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@DmitrySolana hey Dmitry, just a heads up that I sent you a DM a couple days ago :)
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This is extremely powerful. An API that abstracts over and manages *every major coding agent* for you.
If you’re looking to build coding AI into your products (think: auto-fixing, code review, testing, …), I’d start here first.
BLACKBOX AI@blackboxai
New Release: Agents API Run Blackbox CLI, Claude Code, Codex CLI, Gemini CLI and more agents on remote VMs powered by @vercel sandboxes with 1 single api implementation
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Clyde retweetledi

$1,000 $SOL? I've spent the last few month's pondering @mert price prediction from this past summer. Reverse engineering his target, I think I have a good handle on how and where the price prediction was derived.
Just know, someone like Mert Mumtaz (@helium_mobile founder) wouldn’t toss out $1,000/$SOL casually. To get there, he’s almost certainly modeling macro-level settlement volume capture, deflationary supply, and velocity compression on a global scale.
Here’s what that looks like when you unpack his prediction step-by-step 👇
💰 1. He’s Valuing $SOL as a Global Liquidity Utility, Not a Coin
At $1,000 per $SOL, even with a reduced circulating supply of say 35 B tokens, that’s a $35 T market cap.
That sounds enormous -- until you realize it’s roughly half of today’s global daily FX settlement turnover multiplied over a year.
So his model most-likely uses and assumes:
$SOL settles a measurable share of global cross-border payments, FX swaps, and tokenized-asset flows. $SOL becomes the neutral bridge asset between digital dollars, euros, CBDCs, and tokenized securities.
He’s pricing $SOL as monetary infrastructure, not a speculative crypto asset!!!!! (This is both factual and the key!)
🌐 2. Global Tokenization Math
By 2030, institutions like BlackRock, BNY Mellon, and Citi project $14–$20 T+ in tokenized real-world assets (RWAs).
If $SOL captures 10% of that settlement volume, that’s ~$2 T flowing through Solana.
With 2%–3% turnover velocity, the float required to support that liquidity is ~$60T total value settled annually, which can justify multi-hundred-dollar valuations per token under a bridge-liquidity model.
Dom most-likely is simply pushing those assumptions further -- e.g., 25%–30% share of tokenized-asset and FX settlement, yielding numbers in the $500–$1,000 range.
🔥 3. Deflationary Supply Compression
If he’s factoring in an accelerating burn/lockup curve -- maybe 4–5 % annually plus institutional vaulting by Evernorth, Prime, and custodians -- effective circulating supply could drop toward 20–25 B $SOL by 2030. Same liquidity demand spread across half the coins = 2× higher price.
🏦 4. Institutional Leverage & Derivative Layers
Galaxy, Anchorage, and custodial partners could create a levered liquidity ecosystem, where each $SOL supports multiple layers of settlement (similar to how reserve money supports bank deposits).
That “velocity dampening” means fewer $SOL in motion settle more nominal value — another multiplier in valuation models. (Another key!!!)
⚙️ 5. Real-World Reference Points
Mert is a TradFi-meets-DeFi thinker; he most-likely benchmarks $SOL against:
SWIFT ($5 T daily flow) → even 10 % = $500 B/day potential.
Visa’s payment rail (~$14 T/year) → comparable market-cap logic puts $SOL above $1 T.
Gold (~$15 T market cap) → if $SOL becomes the “digital reserve liquidity,” a similar cap gives ~$2700/$SOL with 55 B supply -- and easily four-digit if supply tightens to 20 B.
📊 So The Math Behind $1,000 $SOL
Start with the global settlement market, which processes around $250 trillion annually when you include FX, cross-border payments, and tokenized asset transfers.
If $SOL captures just 10% of that market, it would be facilitating about $25 trillion in yearly settlement volume.
Now, assume an average liquidity turnover (velocity)of around 3%, meaning $SOL only needs to provide enough liquidity to cover a small fraction of those transactions at any given moment. That equates to a required liquidity pool of roughly $0.75 trillion.
Divide that by an effective circulating supply of 25 billion $SOL, and you get a baseline value of around $300 per $SOL -- just to support that 10% market share under normal liquidity conditions.
Next, factor in real-world catalysts -- tokenized asset bridging, institutional credit through Galaxy, supply scarcity, and slower velocity as $SOL becomes locked in institutional use.
Each of these adds a multiplier effect to the utility value, estimated between 30x and 40x, which brings the fully adjusted price range to $900–$1,200 per $SOL. 🔥🚀🎉🥂
🧭 The Ultimate Summary
Mert Mumtaz’s $1,000/$SOL thesis likely combines:
SOL capturing a double-digit percentage of global tokenized and cross-border settlement flows;
Ongoing burn and escrow reductions cutting supply near 20–25 B; Lower transaction velocity (each $SOL circulates slower as it’s locked in institutional pools);
Multiplier effect from derivative usage and prime-broker leverage; Solana's rails becoming foundational to CBDCs, RWAs, and institutional payments.
Under those conditions, a four-figure $SOL is NOT meme math --- it’s a long-horizon macro-liquidity model. Something only a brainiac like Mert would stick his neck out and publicly predict! Sure you can question the PP, but understanding "how he got there" just proves he is NOT just guessing or throwing darts -- he did a ton of research first before announcing that $1,000 number!
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Clyde retweetledi

~$30,000,000 of inflows into $BSOL yesterday. Solana purchased.
Now ~$150,000,000 inflows the last 3 days. #1 ETF launch this year, of 850.
It’s a testament not to Bitwise but to the conviction investors have in Solana, and the work of its community.
Grateful to play a role @bitwise in expanding access through BSOL.
NYSE 🏛@NYSE
The epicenter of capital markets. Welcome, @solana community. @bitwise celebrates the launch of the Bitwise Solana Staking ETF $BSOL @teddyfuse | @HHorsley | @toly | @rajgokal
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