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Joined October 2023
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Bullish on crypto native companies that are bigger than crypto.
VVV and Capital
Measured by revenue, Venice has become the largest company at the intersection of AI and cryptoeconomics.
Today, we announced Venice’s first round of outside capital, a $65m Series A led by @dragonflyvc, valuing Venice’s equity at $1 billion.
Since we are an atypical company, this thread describes how this equity raise relates to the most valuable asset we have on our balance sheet, our capital token base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf
227fund retweeted
(1/9) Keeta and ASK Group @askgroupae, a UAE-based investment group led by His Highness Sheikh Ahmed bin Sultan bin Khalifa bin Zayed Al Nahyan @asknahyan, have created a joint venture aiming to tokenize tens of billions of dollars of commodities and modernize cross-border payments in the Gulf Cooperation Council (GCC) region and beyond, contributing to the UAE's vision and commitment to growth as a global leader in digital finance and real-world asset infrastructure.
Wonderful to see such high quality independent research on @openservai from @delphi_labs COO @KSimback, one of the sharpest minds in the AI x Crypto space
at google play we looked for teams that had an "unfair advantage"; at least one of the following:
- a tech moat (proprietary IP, novel architecture)
- a structural moat (switching costs, lock-in)
- execution speed and quality (a moat in itself, especially in commoditised verticals)
rarest of unicorns are the ones that can combine all three.
with @openservai we're seeing how they all combine -> genuine tech differentiation in reasoning architecture. structural lock-in once enterprises integrate. a team executing faster and cleaner than anyone else in the category.
Quick math on $SERV:
⚫️ Mcap: ~$40M
⚫️ 30d performance: +170%
⚫️ Active enterprise/gov deployments: 10 (BRAID framework)
⚫️ Token utility: every agent, every deployment, every compute call denominated in SERV
⚫️ Comp basket ($VVV / $NEAR): trading at multiples of this
Wedge break is the entry. Adoption is the thesis. Token capture is the moat
Don't be the guy who notices at $200M
while L1s beg banks for partnerships @KeetaNetwork is buying one
$9M of treasury → bank acquisition → direct fiat rails
no third-party stack
Keeta Personal is shipping: bank transfers + crypto + investments in one account
token +54% in a week
XRP "fixed" payments for 2012
$KTA is fixing it for 2030
while you were watching charts @pendle_fi quietly became the toll booth for the hottest trade in DeFi
STRC rotation is 26% of total TVL
apxUSD alone = $210M
apyUSD fixed yields printing 15-19% - a 500bps premium over the underlying
sUSDe, USDai, USDG all flipped. in six weeks
Pendle doesn't pick winners
Pendle is the venue every winner has to list on
every yield narrative in this cycle ends in the same place: ethereum:0x808507121b80c02388fad14726482e061b8da827
What you're seeing is @openservai running part of the same playbook that took Android & Google Play to 70%+ of the global smartphone OS market, and 85%+ in emerging markets specifically.
- go where the market is growing fastest and served worst
- ship a product tailored to that market on price and UX
- build distribution moats that compound faster than competitors can copy
Absolutely love seeing this come together.
With the incredible early success of SERV Reasoning, I’ve been focused on accelerating adoption across two key domains:
Bigger institutions.
Global scale.
This week, I’m in Nairobi meeting with some of the largest banks in the region, including pitching heads of corporate credit, IT, and risk (among others) inside executive boardrooms at Tier 1 institutions with over $7B in collective AUM.
East Africa and Kenya in particular is the highest growing credit market in the world. As banks increasingly look to adopt AI, especially in emerging markets where credit is growing rapidly, the opportunity is obvious: major bottlenecks and archaic processes are waiting to be solved.
But for financial institutions, adoption only happens if the technology clears a high bar: auditable outputs, reliable performance, and sustainable cost. So far, we’ve heard that previous attempts at AI integration have largely stalled because they failed on reliability, cost, or both.
That’s where SERV Reasoning comes in.
To power products that actually move the needle, and that institutions can rely on to deliver results at an economically feasible price.
But product is only one side of adoption.
In enterprise, especially with major institutions in emerging markets, distribution can matter just as much, if not more. Sales cycles are long, trust is earned through relationships, and adoption often depends on being in the right rooms with the right stakeholders.
That’s why being here on the ground matters.
Google shipped Gemini 3.5 Flash hours ago
$SERV had it running better before the press release dried
Deeper cut: SERV + DeepSeek v4 Flash still beats Gemini 3.5 Flash at 1/30th the cost
The whole AI race assumes the model is the moat
$SERV is the layer above the model
why $SERV pulls away from the AI agent pack:
most "agent" tokens = one agent + a personality. cute. limited
@openservai = the orchestration layer
agents that collaborate, delegate to specialists, build reasoning chains on multi-step tasks
it's the difference between a chatbot and a workflow
result: +236% in 19d
3 of 4 ~10M whales added MORE through the rip
5th identical whale appeared
still under $40M mcap
reasoning > vibes
the chart is the lagging indicator
227fund retweeted
Greg Ivanov joins SERV as key advisor.
ex-Head of Partnerships at Google, GP at 227 - early backers of Pendle, Bittensor, RNDR.
He grew Google Play into one of the largest developer ecosystems on the planet - now working with us to scale SERV Reasoning across large enterprises.
$SERV
$21M mcap
+54% on the week
every tech CEO is selling "AI agents" in 2026 — OpenAI, NVIDIA, ServiceNow, Accenture, all chasing the same meta
how many crypto-native, liquid, shipping multi-agent platforms exist at sub-$25M?
just one
@openservai
you're not too late
banks can't give you stablecoin balances
crypto wallets can't give you routing numbers
@KeetaNetwork Personal: both, in one product
→ USD + EUR account details (routing #, IBAN)
→ fiat / stablecoin / $KTA balances
→ bank wires in, QR transfers out
→ checking, savings, shared/member accounts
→ full transaction history
the wallet/bank distinction just collapsed














