$BASECAT update:
Called it around ~$25M MC a few days ago.
Now it’s pushing ~$40M.
That’s roughly +60% from the level I first posted, and I’m still holding my bag.
– ~$20M zone got bought up hard
– Price has reclaimed the previous ~$35-40M range
– Volume came back during the breakout
– Structure still looks healthy after multiple consolidations
The important part for me is that $BASECAT keeps showing strength every time it gets a deeper pullback.
I still think the Base meme rotation has room to expand if liquidity keeps moving back into the ecosystem.
Next area I’m watching: clean breakout above ~$40M and whether it can hold there.
Still my cat bet on @base.
$BASECAT higher?
is HyperEVM becoming the next Robinhood Chain?
I have been watching HyperEVM closely over the past few days.
It has quickly moved from infra built mainly around HYPE into a high-volatility trading eco.
after Trump mentioned bringing @HyperliquidX to the US legally, $HYPE rallied to a new ATH near $83.27.
That move created stronger liquidity, attention and risk appetite across HyperEVM.
Memes reacted first.
> $EGG became the main sentiment leader after the community revived Jeff Yan’s old “buy eggs with your shitcoins” post.
Its market cap briefly reached around $8M-$9M before pulling back.
> solana:GuSborgzpo6Hc7msoRouQyPJ3psxgAHm4amC9iDhpump followed with a more personal narrative linked to Jeff’s previous company, Chameleon Trading.
It briefly reached ~$4M, then retraced heavily.
I do not see these memes as the main thesis.
They are useful because they show where attention is entering the ecosystem.
The more important question is whether that activity moves into native infra.
Here are the projects I am watching:
[1] @MotionOnHype
Motion is becoming the main meme issuance venue on HyperEVM.
Tokens move through a bonding curve before graduating to HyperSwap V3.
The platform earns from token creation, bonding activity and pool trading.
If meme issuance remains active, Motion can capture value regardless of which individual token wins.
[2] @Kinetiq_xyz
This remains the most complete utility project in the eco for me.
Users stake HYPE for kHYPE, continue earning staking rewards and can deploy that liquidity across lending and LP strategies.
More importantly, revenue from Kinetiq products and part of its validator income supports KNTQ buybacks and distributions to sKNTQ stakers.
That gives kinetiq:native clearer value capture than most ecosystem tokens.
[3] Kinetiq Launch
HIP-3 exchanges normally require a 500,000 HYPE deployment stake, almost $40M near current prices.
Kinetiq Launch allows communities to fund this requirement collectively while separating exposure through individual exLSTs.
I find this more interesting than another standard launchpad.
It positions Kinetiq as infra for launching new perpetual markets.
Launch revenue adding another source of kinetiq:native buybacks.
[4] @hyperlendx
HyperLend is becoming HyperEVM’s main credit layer.
It currently holds roughly $570M in TVL with around $308M borrowed.
Users can also stake HPL as sHPL to receive borrowing rebates of up to 80%.
The low token valuation relative to protocol deposits explains the market interest, although TVL alone does not guarantee token value.
[5] @prjx_hl
Project X is currently the leading native concentrated-liquidity AMM on HyperEVM.
It has around $47M in TVL and recently captured a large share of the chain’s spot DEX volume.
If meme liquidity converts into sustained spot trading, Project X should be one of the clearest beneficiaries.
This is where I see the early similarity with Robinhood Chain:
memes attract users → trading activity grows → native DeFi infra captures the flow.
but the 2 ecosystems still have different advantages.
Robinhood Chain has direct consumer distribution and tokenized stocks.
#HyperEVM has HYPE liquidity, a strong trading-native user base and direct integration with the wider Hyperliquid ecosystem.
so i think calling HyperEVM the next Robinhood is still premature.
The biggest issue is gas.
During peak activity, some HyperEVM transactions reportedly cost more than $10, occasionally reaching the $10-$20 range.
That may increase demand for #HYPE and generate more network revenue, but it directly limits small trades, frequent meme rotation and user retention.
HyperEVM has already proven that it can attract speculative liquidity.
Now it needs to prove that it can retain it.
DYOR.
$UNI is being repriced faster than i expected
from around ~$4.6, price has touched ~$6.4, nearly +40%, and is still holding around ~$5.9.
This move is also coming with pretty strong activity:
- #Robinhood chain is currently seeing ~$1.67B in DEX volume/24h, with @Uniswap alone handling around ~$1.23B, or ~74% market share.
- at the same time, Uniswap 30D fees have risen to around ~$111M, with Robinhood chain contributing nearly ~$71M.
that’s why i think this $UNI move looks more convincing.
NFA.
►HIP3 Deployer Economy - Where The Yield Comes From
Spent a lot of time trying to understand where the yield actually comes from for a HIP-3 deployer, and I got that ppl are mixing 3 completely different things together.
→ staking yield on the 500k $HYPE.
��� actual fee income from running markets.
→ whatever strategic upside comes from subsidies, distribution, collateral adoption.
Let’s look at the picture piece by piece.
1/ A deployer needs 500k HYPE staked = ~$40M at the current $HYPE price.
It can still earn ~2.4% staking APR = ~$960k/year, or ~$80k/month, before validator commission.
So the deployer is still long HYPE and still earning staking rewards.
The real cost is locking up liquidity, ~7-day unstake friction, slashing/tail risk, $HYPE downside + the actual cost of operating the exchange.
2/ The incremental business created by HIP-3 mostly comes from trading fees.
Very simplified, $1B taker volume can generate around $225k for the deployer at 4.5 bps. Funding isn’t extra revenue btw.
But new markets can cut fees by ~90% to get liquidity going, taking deployer revenue toward ~$22.5k per $1B.
Who is actually reaching scale?
– @tradexyz: $87B volume over the last 30d with $3.4B OI.
– @Dreamcash: $78.4M
– @entropyIO: $307M / $9.6M OI
– @tradeparagon: $148M / $12M OI
https://t.co/o0FYi9JYoR controls ~99.5% of current HIP-3 volume, OI and fees among the tracked deployers.
It’s one scaled exchange + a bunch of experiments rather than an ecosystem of equal deployers.
Only https://t.co/o0FYi9JYoR economics show that HIP-3 absolutely can become a great cash-flow business once the liquidity flywheel exists.
Their edge also comes from deploying when $HYPE was around $30.
Meanwhile every new competitor might enter at ~2.6x the capital cost to compete with the guy who already has 99% of the flow.
Even inside https://t.co/o0FYi9JYoR the returns look insanely power-lawed. One XYZ100 market was doing ~95% of the whole exchange’s volume.
Does the data basically say each deployer only needs one ticker winner?
Dreamcash shows what happens when you try to manufacture that with subsidies.
– $23.2B cumulative volume
– $850K earned from deployer share.
Tether meanwhile was reportedly subsidizing trading by $200k/week = ~$10.4M annualized subsidy.
So Dreamcash wasn’t really proving HIP-3 deployer yield.
@felixprotocol did $3.54B lifetime volume.
Once https://t.co/o0FYi9JYoR listed equivalent markets using deeper USDC liquidity, the flow basically disappeared.
Being first to discover a market isn’t a moat if someone with 50x your distribution can clone the trade.
Entropy is maybe the most interesting version of this.
Raised ~$14Mand instead of trying to list 100 generic markets it went after weird stuff like Anthropic pre-IPO exposure.
Their thesis may be that if pre-IPO markets scale to $5B–$20B–$50B monthly volume, being the place that owns the early price discovery could become a very profitable deployer business.
When deployers compete to find product-market fit, the structure seems designed to make $HYPE the most obvious winner.
→ if more deployers win, more fees + more volume + more $HYPE demand.
→ if one dies, Hyperliquid already collected its share and someone else can try the market.
After many deployers come and go, I think someone with 500K $HYPE can’t win without a distribution edge or a market unique enough to defend.
COLLABS ARE LIVE 🟢
In an effort to ensure collaborations follow a novel process and every GTD spot stays “guaranteed,”
we’ve brought aboard @Dfw_Ashh as CM, who will be handling collaborations alongside the team.
The message has been delivered 🗞
Motion is the new currency. Everyone knows it now.
2,500 Movers are coming to Robinhood, only on @opensea 🟢
This August.
Drop your wallets 👇
with broader market signals turning more positive, i’m starting to see $UNI fundamentals and price action move in the same direction.
UNI is currently trading around $4.33 and has reclaimed the MA26, MA50, and MA200 on the daily.
I think the current structure looks clearly healthier.
and more importantly, the underlying activity is still improving:
- @Uniswap is now processing more USDC volume than all other DEXs combined.
- Over the past 30 days, USDC DEX volume reached around $29.1B, with Uniswap v3 + v4 alone handling roughly $16B.
at the same time, Uniswap is also expanding beyond just swap liquidity.
- @CashApp Pay has been integrated into Uniswap Apps, creating another direct path from fiat into crypto.
- @RobinhoodCrypto is bringing tokenized assets into the same liquidity environment.
and v4 hooks are starting to produce a pretty interesting group of projects around programmable markets.
a few side names I’m watching:
> $PONS / @ponsdotfamily : bonding curve launches + locked v4 liquidity.
> $LO0P / @lo0pio : DEX + lending around tokenized assets .
> $FWA / @token_works : programmable market rules + buyback mechanics.
> $uPEG / @unipegv4 : token mechanics tied directly to v4 swaps.
> $HOOKR / @Hookrfun : launchpad for custom v4 hook logic.
across multiple cycles, i’ve often seen price start to get interesting when product usage genuinely picks up.
this time, $UNI is giving me that same feeling: stronger fundamentals, a more active ecosystem, and the chart is starting to respond too.
i’m pretty interested to see how far this move can go.