It is getting pretty clear that @LaunchOnSF is not competing for meme launches alone but it is competing to own the speculation layer of every crypto/RWA community. All this while Pump’s model was largely one casino denominated in SOL while STONK' model now is more expansive. Now people might say Pons currently reports higher gross fees but remember rankings depending on whether they mean fees, revenue or holder payouts. For solana:6GmAFSYs4gk3FDao5FzzySQpPZaWsa4rUJHacpMpUNgx token valuation, revenue and mechanically verified buyback spend are the metrics that matter. Which is why the ratio worth looking here is mcap vs recurring buyback capacity cuz ~59% of STONK lifetime revenue has gone to buybacks, while the current 7D revenue pace annualises ~$350M which shows why the token can rerate violently if activity stabilises even materially lower. The positive loop is👇 more quote-pair communities → more token launches and post graduation volume → more revenue → more buybacks/burns → stronger STONK balance sheet & reflexivity → higher quality launches choose STONK This is why solana:6GmAFSYs4gk3FDao5FzzySQpPZaWsa4rUJHacpMpUNgx is more like a cashflow index on Solana’s attention economy.

best advice i have rn - this is the type of market where you need to stop fkn shitting urself do whatever u do and get rid of that ptsd...idk like go to an exorcist or something nothing is guaranteed...everything is a gamble...but u only get these opportunities once every few years u gotta ask urself what would u be more upset at...roundtripping (which u literally do all the time anyway) or selling too early and missing out on life-changing gains (how many times have u made this mistake? much less i would guess)... therefore imo ur mindset should be to take the chance on the thing you have very little chances to take on i'm not talking about specific coins, i'm not advocating for taking zero profits (u should absolutely take profits, initials etc) but i am advocating for having a big chunk of risk on (with money u can afford to lose) and taking a chance - especially if this is not ur first cycle and u have screwed up previous cycles ur chance is here once again stay safe, stay disciplined good luck

my AI <> crypto thesis is increasingly skewed towards a market for inference models are commoditizing so the gap between them is narrowing, open-source is getting better, and apps increasingly route between multiple models rather than depend on just one that changes where value can accrue if intelligence becomes abundant, the scarce commodity then becomes access and execution, who serves the inference, at what price, with what latency, capacity and privacy guarantees today, that market is fragmented across closed APIs, GPU networks, credits and idle capacity. there is essentially no common pricing, liquidity or settlement so i see three layers emerging: 1) decentralized intelligence, $TAO, markets for producing intelligence 2) private inference, $VVV, $ROUTER, $POD, accessing intelligence without sharing data 3) inference markets, $ORBIO, $MANY, @idleaixyz, markets for pricing, routing, settling and eventually trading intelligence itself i am most intrigued by the last category. so while agents become the dominant buyers of that commodity, they won’t care which LLM serves the request, they will want to optimize for price, quality, latency, privacy and availability. that pushes inference from just fixed-price APIs → competitive markets. and if inference becomes a commodity, the largest opportunity may not be another AI model. it may be the market infrastructure where intelligence gets priced and traded. below are some projects and tokens that i believe will lead thier category. 1) Decentralized AI Networks $TAO / @opentensor AI incentive network prices useful intelligence. Specialized subnets compete to produce work someone will pay for; $TAO is the scarce root asset that decides which of those markets get emissions. $DOT / @usedotai The private inference layer where users buy uncensored, no-retention inference on Base; $DOT is the credit and burn rail sitting in front of that demand. 2) Inference Markets / Exchanges @idleaixyz (something in 24hrs) Worth to keep watch, early waitlist phase though they teased something in another 24hrs. AI inference do not have a place to trade and a price on them. IMO Idle is the first of its kind to have an NYSE for intelligence; both pricing inference credits and allow people to trade. $ORBIO / @orbiodotso Turns inference into a credit you can stake into, spend, and resell. Leading the inference capital markets on RH. $MANY / @manyways_rh An onchain OpenRouter: one balance, many models, compare-and-route. It will wins if agents standardize on one RHC endpoint. 3) Private / Permissionless AI $VVV / @AskVenice This is the reference for private inference. Models already commoditize; while Venice prices the right to ask without handing the prompt to a lab. Usage is real enough that CT now quotes daily token volume, not just the ticker. $ROUTER / @SolRouterAI Solana’s attempt at a $VVV-like private inference layer: decentralized model access, censorship resistance, and an actual team that has been building before the narrative arrived. $POD / @dphnAI Uncensored models plus a peer-to-pool GPU network. Venice needed models that would actually answer so Dolphin supplied them, then tried to own the inference rail those models run on. Token thesis only works if network revenue keeps buying $POD. $CEST / @CestusNetwork Permissionless GPU mesh for open-model inference. The product pitch is around a no lab owns the servers. The debate is around the relaunch story. $MINI / @miniroutersh A cheaper Solana router competing for the same private-inference order flow as ROUTER. The bet here is in same category, much smaller cap, and some debates that the sites look related. $OPAN / @Opanarchyai This is more of a robotics bet. It has an open robotics stack (library, sim, training) with a private inference layer for machines that cannot leak their context. The bet is physical AI will need a private brain, not another chat frontend. $DARK / @darkwoodslabs On RH chain, no-account, no-log private lab, uncensored models, usage buyback, stake-for-USDG. a few days old, NVDA-paired launch, narrative should push it much higher. Think of it as RH chain privacy-AI option. $AILE / @AileLabs Rents idle seats Claude, Codex, leftover API keys, because closed weights cannot be served by a DePIN cluster. Its the Airbnb for subscriptions for AI models, USDC settlement on Solana.

near:native did it. They made perps confidential. This is the largest zero to one for onchain perps. Getting hunted on lower liquidity assets was a major risk. @ilblackdragon did it again. NEARHyperliquid.

If you believe the market always tips its hand if you pay close attention (I do), then you can see that it is signalling alts will lead BTC this cycle. TOTAL2, TOTAL3 and OTHERS have all led BTC in market structure, and flipped trend earlier. Very likely to see much bigger returns from high quality alts than you saw last cycle. The only thing that will hold you back is PTSD, which is understandable after the traumatic events we have witnessed. But, if you are being objective and looking at the charts, then there is no need to be afraid. Don't be afraid to channel the inner first cycler that exists deep within you. Once upon a time that inner voice led you to great heights.

This is still a tiny user base and already producing 6-fig spend days. $ENA has a clear bull case here and its not the card print. It’s that @ethena owns distribution of its own dollar and remember sticky account balances are a different animal from farm deposits. If we get USDe toward the $7.5B area soon $ENA will have a mechanical bid instead of a narrative which will push it all the way to a 1$ mark... h/t to @EntropyAdvisors for the data

Liquidity is no longer a pool. I see it as a software and software can change its mind between quote and fill which is why the router that matters now is the one that treats settlement as the only real price and makes venues compete there, atomically. And @KyberNetwork is positioning as that execution firewall by becoming the layer wallets and agents use when best quote stops being a trustworthy object.

Remember @pendle_fi' TAM is not crypto yield. It is every asset with a future cash-flow stream that needs price discovery, a hedge, or a fixed-rate buyer. Private credit, tokenized equities/dividends, infra, money-market funds, GPU financing etc. Basically issuers can tokenise each separately, but do not want to build a yield market from scratch. Pendle wants to be the common liquidity/rates layer and this NGI+ move is the first credible proof that Pendle can become the forward rates market for private assets. This is bullish for $PENDLE cuz there is an upside chain👇 (1) A credible issuer sees Pendle as distribution + price discovery (2) MM's and fixed income buyers build liquidity around PT/YT (3) PTs become lending collateral and balance sheet assets (4) The next issuer lists cuz the market already has users and liquidity (5) More volume and yield fees support the buyback/distribution engine Pendle has already showed that permissioned instances and a curator model are part of the RWA scaling path and that is essential in my opinion cuz serious private market capital will not necessarily enter a fully permissionless pool. If Pendle can serve both open and permissioned structures, it becomes much harder to displace. h/t to @Blockworks for the data

Remember the point of getting good at markets is not a bigger number but in real it is fewer emergencies. Saying this as money that compounds quietly buys back mornings, options and the ability to show up for the people who actually matter.

I see solana:AGi2s9zPRPHs3zEDPhPTroumTEXK5ufymYSfEFndCSSW becoming the liquid flagship reward coin for people rotating into the @LaunchOnSF/@hylo_so ecosystem. It is already outperforming xSOL itself on the xSOL pair and that is important cuz buyers are not merely receiving a tailwind from leveraged SOL rewards but they are paying a premium for the wrapper. And don't forget the actual product is a 3 layer position👇 1. A StonkFun reward token claim 2. xSOL reward exposure 3. Hylo XP/ecosystem optionality

Conduct an experiment: > Assume > Assume that you're capable of more > Assume that you're built for greatness > Assume that everything you do will unfold perfectly for you, with or without your conscious effort > Assume that every single thing in life is aligning for your maximal growth and enjoyment Just assume

ethereum:0xa12cc123ba206d4031d1c7f6223d1c2ec249f4f3 made a new ATH In my opinion @zama is slowly becoming clear leader here in the confidential finance/FHE as the privacy layer for institutions, RWA and AI as it has distribution running through multiple channels: (1) direct integration with DeFi protocols (Morpho vaults) (2) institutional RWA platforms (T-REX Ledger) (3) developer adoption via TFHE-rs library and fhEVM tooling Another major reason for this run is that it has a moat which compounds👇 More chains → more developers using TFHE-rs → more apps → more confidential volume → more fees → stronger case for fee switch → more ethereum:0xa12cc123ba206d4031d1c7f6223d1c2ec249f4f3 demand

I AGREE WITH THIS I stopped trying to rotate a core into a laggard merely because the core has already moved or the laggard is down 70–90%. The reason I hold the core is if its economic transmission chain remains intact. Basically things like usage, recurring revenue, protocol capture, token routing and liquid supply still support the thesis. Also for that framework, I include not mistaking app revenue for token value cuz if the token has no mechanical fee/buyback/burn or collateral demand channel, it is not a core regardless of the protocol narrative.

$NEAR is one of the few projects with a fee engine that is actually turning on. - Intents volume compounding - confidential TVL crossing real size - private perps live - buybacks running @NEARProtocol is becoming a product that is starting to get paid.

So @ponsdotfamily adding an ORBIO/SHROOM pairing is huge because $SHROOM’s upside is not one NVDA or SPY pool. It is becoming a reusable middle asset across $PONS family launches and tokenised stock liquidity. Higher

Lately there are also alot of smartmoney buying base:0x940181a94a35a4569e4529a3cdfb74e38fd98631 mentions. It is because the alpha around @aeroxyz is becoming a claim on the liquidity allocation layer for onchain assets. So if/when stocks and FX need liquidity before activity arrives, the allocator who predicts demand earliest gets paid. And that is a much stronger moat than simply having the most pools.