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most teams waste quarters babysitting archive nodes and fragile scrapers product work gets diluted into ops @Covalent_HQ flips the stack with EWM: history becomes a query across 200+ chains, billions of rows, ~2M calls a day. usage > marketing next step matters: zk-verified responses powered by $CXT, so agents, contracts, and dashboards can check the math on-chain. trust assumptions shrink, throughput grows think CRF for builders: when data integrity is provable, fewer reps are needed before skill outweighs variance. shipping stabilizes faster watched SpeedRun with @goldrushdev ship small, learn fast, scale with intent. feedback loops > hype devs: are you betting on verifiable data rails or rolling your own indexing? drop your stack and pain points. where does latency or correctness kill you most

DeFi’s next unlock: coordinated liquidity that compounds over time @turtledotxyz is building a coordination layer where volume acts as a social signal and aligned participation gets measured in public. Mechanics are simple and non-custodial: register wallet, LP directly on partner venues, tracking via DB/API, rewards via points, DAO treasury boosts. Result: transparent goals, fewer games, stickier flow Signal check: - Treasury grew from ~$12.7M (Sep 26) to ~$14.2M - Liquidity Leaderboard turns deposits into visible progress - @katana Samurai’s Call campaign is scaling toward massive totals, reinforcing the flywheel for $KAT LPs Macro tailwind with $BTC at ATH, micro tailwind with TGE inbound creates a clean setup for protocols that want real coordination, not vanity TVL If you’re a builder, which KPI would you rank first: cumulative coordinated volume, LP retention days, or milestone completion rate? wdyt

"The path to onchain MMOs will be won with verifiable permanence, frictionless play, and real distribution" Quick take on @blockstranding ➔ Fully on-chain multiplayer RPG on Solana → every movement, combat, crafting, and resource loop is recorded on-chain for transparent, permanent state → powered by @magicblock ephemeral rollups to deliver gasless, synced worlds while keeping settlement verifiable What’s the breakout edge for $STRAND? ✦ engine sophistication (ephemeral rollups + onchain-first design) ✦ distribution via Solana Mobile reach (~170k devices) ✦ community momentum from daily grind, leaderboards, and emergent gameplay If you’ve climbed ranks, drop your loop: yaps cadence, craft routes, resource paths If you’re new, set up, play, iterate ownership aligns with effort Which lever carries the launch: engine, distro, or community? Reply with your pick

I track @trylimitless on @base for one reason: flow + frequency $410M+ total traded across crypto + stocks Hourly and daily markets running 24/7 so you can lean into your time horizon Low-friction Base rails keep costs down, which matters when you’re cycling dozens of tickets Community sale heat check: ~$160M allocation requested vs $1M target, 160x oversub on Kaito Launchpad, with TGE slated for Oct 25. Crowded books usually compress edge, so your process has to do the lifting My framework for PMs: Pick 2 3 tickers you actually trade elsewhere Choose 1 timeframe: hourly momentum or daily mean reversion, not both Size small, track hit rate, EV, slippage, and only scale what has data Trade liquidity windows: top of the hour, US open, key news Zero revenge predicting Prediction markets thrive on depth and cadence. If volume keeps pacing here, spreads get sharper and outcomes get cleaner What’s your edge on @trylimitless right now: hourly momentum, daily mean reversion, or event plays like CPI/FOMC? Drop your ruleset, I’m pressure-testing mine before TGE

kinda wild when u think about it: speedrun live on base with x402 and clanker tokenization apps as content prompt ⭢ deploy ⭢ earn @Covalent_HQ turned clean multichain data into a creator rail sub-second streams, no polling, gSpeed query wallets, tokens, contracts across 100+ chains in one line $CXT backed by real usage and buybacks play the meta post builds, tag #SpeedRun, 5X on wallchain leaderboards scribbledao hybrid grant with clanker, 6.5k split epoch 3 tightened curve, top spot ~5.6k CXT weth pairing for launches, bots/dashboards get first dibs on fresh blocks ai agents + traders move while others wait 3 10s allocate time, ship, let the chain keep score

Edge in crypto comes from compressing the loop: feedback → testing → conviction @virtuals_io is building the loop around Virgens. When Virgens win, Virtuals win $SAUL console is the hinge: Buy credits, import LLMs, wrap products, then go live Chart on screen, onchain buy/sell during the broadcast Token-denominated super chats, timed drops, agent AMAs that pay creators while viewers farm On markets, @sharelandtycoon turns neighborhoods into SQFT assets tracked in real time Long rises, short declines, hedge across cities ACP composability makes property a liquid instrument for agents Reputation primitives like @GiveRep add trust to engagement Which surface gives you the cleanest signal: 1) livestream trading with $SAUL, 2) agent AMAs, 3) real-world SQFT via $TYCOON Reply 1/2/3 and how you’d size risk across these cycles

agent economies need a coordination fabric, @virtuals_io is quietly shipping the only end‑to‑end stack that matters $GLORIA = reputation (credit curves, sybil cost) $RING = message bus (intent/memory sync) $AIYP = adaptive planning (context → action) $WIRE by @717CapitalAI = settlement rails (bank<>chain via circle/tether) early proofs are live: @pilot3ai’s $PTAI copilot turning signals into execution, tycoon’s SQFT making neighborhoods tradable, verdant’s yield game wiring memory into commerce loops thesis: once memory+commerce loops close, value concentrates in trust + transport. watch $GLORIA gate access to credit and risk, watch $RING collapse latency and coordination overhead across agent swarms q4 bottleneck: reputation, connectivity, or liquidity depth? reply or quote with your pick and the one metric you’ll track to validate it

Narratives decay without cashflows. Utility decays without story. The winning loops fuse both I’m tracking @BioProtocol because consent, provenance, and IP sit in the execution path. Stake $BIO → veBIO; BioXP decays so idle wallets sink, contributors surface. Ignitions stream micro‑tranches to registered endpoints with replication gates; unused routes back. Receipts anchor every step on‑chain Signals: $BIO ~81% below TGE FDV, 2.1M+ staked. $DICK pulled attention; ED trials and testosterone mapping keep it. @NEURONGale published split and vesting tied to milestones My playbook: anchor to an implied FDV I’d hold post‑listing, size on oversub velocity, scale on first replication receipts, rotate on assay revenue Your confirmation signal 1) oversub speed 2) FDV sanity 3) replication rate 4) assay revenue #DeSci

Quiet execution that shows up in numbers and tools that’s why I’m watching @Covalent_HQ ➤ 95% of paid API revenue routed to buybacks ➤ 1% of total $CXT supply already removed ➤ 900K $CXT repurchased in August; ~0.77% supply burned this year On the utility side, the stack keeps opening new doors ➤ GoldRush APIs let builders ship cross chain in days, not months ➤ SpeedRun brings prompt-to-earn deploy from prompts and earn $CXT based on real usage This creates a clean flywheel Revenue → buybacks → lower float → more usage → more revenue If you care about measurement, @wallchain_xyz tracks the grind so the effort is visible Which lever matters more for the next 12 months A) revenue‑backed buybacks B) SpeedRun‑driven dev growth Drop an A or B and tell me why

Right now, the consumer + info‑fi loop looks clearest across three rails - @KaitoAI → mindshare to allocation. Launchpad cred post @trylimitless, and they’re hosting the @EdgenTech leaderboard - @HanaNetwork → hyper‑casual finance with a clean split: 51% to community, 21% incentives/airdrops. Early claim is small, rest drips on milestones. Listed on @BiconomyCom, Bitunix Token Splash + 1M buyback; watch TGE flows convert to DAU - @EdgenTech → one terminal + EDGM agents: Search, Pivot Alert, Copilot, Aura. 314k eyes and a real‑time cross‑asset view My play: • Yap where it compounds (Kaito → Edgen board) • Track HANA liquidity + users, not just candles • Keep it simple, pick one lane and go deep Which stack are you running this week? 1) HANA flywheel 2) Edgen + Kaito 3) Both Reply with 1/2/3

max long on $STRAND still open @blockstranding is shipping a fully on-chain mmorpg on solana with real-time actions rolling up via @Magicblock and final outcomes settling back to chain speed without nuking blockspace, no gas in the heat of battle new catalyst i like: @MagicEden handling mints + gating rare assets, clean bridge from gameplay to ownership personal update: broke into top 500 on the leaderboard, now farming the attention mining mission yaps → $STRAND if your posts actually get traction, so make content that slaps, not spam thesis: solana gaming has a few weeks of runway, strand sale + tge is the spark target is top 200 then top 100 who’s early on this, and what’s your build miner, crafter, raider? quote with your best drop from the demo and tell me why i shouldn’t add more here

identity rails are the new distribution layer @wallchain_xyz x @idOS_network epoch 1 rewards speed and persistence over bankroll 0.8% supply on the table, 0.4% settles by oct 24 ranks 1-150 take 60% of the pool 151-500 share 35% 50 random from 501-1000 grab 5% full unlock day 1 compresses the payoff curve into execution and timing this mirrors mev game theory: same-block snipes → same-epoch rank sprints reduce onboarding friction with a portable kyc passport and engagement compounds across apps identity that travels means fewer resets, more surface area for capture framework: - target top 150 early or ladder into 151-500 with sustained throughput - minimize wasted actions, maximize verifiable signal - align with creators that move flow, not noise what’s your path to a defensible rank before the oct 24 cutoff and why

alpha that scales beats threads that chase candles markets split across stocks, crypto, derivs; narratives hop chains and tickers in hours @EdgenTech built agent desks that think in parallel: news, sentiment, momentum, fundamentals, then argue to converge on what matters edgm brain, cross‑asset maps, faster market report with forward paths aura 2.0 scores source credibility and rewards useful research stocks 360 live; technical signal, pivot alert, trading mindshare loading playbook: search in plain english flip to themes to frame sectors and narratives open 360 for depth wire pivot alerts so you react instead of chasing subscription model filters tourists; signals over noise #AI tracking @SentientAGI too for the race which module goes first in your stack: pivots, signals or mindshare?

dug into @BioProtocol and i’m kinda impressed by how clean the coordination layer feels for #DeSci - BioDAO model = researchers + patients + capital in one loop - stake $BIO to mint veBIO; BioXP accrues daily with about 14d decay so idle wallets slide, contributors climb - Ignitions route milestone funds to pre‑registered endpoints, add replication gates, refund unused, cap whales for fairness numbers i’m watching: - $30M+ raised - 2.1M+ $BIO staked - D1ckGPT + VitaSTEM oversub pre‑TGE - partners include @vita_dao and Pfizer tape note: $BIO trading well under TGE FDV, Maelstrom/Animoca seed extends runway my plan: enter late, size by implied FDV i’d hold post‑list, scale only after first replication what’s your main green light before sizing: 1) oversub speed 2) FDV sanity 3) replication hit 4) agent/lab depth nfa dyor, drop 1/2/3/4 + a one‑liner thesis

coinbase, kraken, then backpack. that’s the pipeline we just watched. vertical alignment wallet + nft -> distribution. @MadLads holders keep getting first-pass exposure, badges in play solana, and airdrops that reinforce the social graph. mlstrat grabbed 35 and climbed into top 16 holders; bdgstrat spins next from @BoDoggosENT with fee ramp 50% down in 30m to deter snipers. why care? liquidity chases communities that ship. @Backpack becomes the storefront, madlads the loyalty layer, and $NOME memetics piggyback. if your 12m nft thesis includes claynosaurz, yapybara, @MadLads you’re pricing network effects over art. accumulating floors or waiting for grail catalysts? reply gquack or gnome with your entry logic

GM InfoFi stack I’m running: @KaitoAI → discovery + mindshare; Limitless pledges north of $160M with hours left, prediction markets nudging outcomes, Rainbow’s King of the Hill pushing $RNBW/$PNKSTR/$FANS, watch refund recycling and the curve on $LMTS @HanaNetwork → hyper‑casual finance; 51% community with staged unlocks, 21% incentives, fixed promotion at 300% APR since Sep 30, and a clean path: spot on Biconomy, stake, then chase secondary incentives across Bitunix Token Splash @EdgenTech → multi‑agent market intel; Pivot Alert + Pico fuse on‑chain flows, derivatives and sentiment into one view, litepaper‑to‑thread feature for faster research, ask Edgen then size My play: discover on Kaito, onboard via Hana, execute with Edgen Poll in replies: Kaito / Hana / Edgen / full stack which do you open first? cc @wyckoffweb

DeFi’s next unlock: coordinated liquidity that compounds over time @turtledotxyz is building a coordination layer where volume acts as a social signal and aligned participation gets measured in public. Mechanics are simple and non-custodial: register wallet, LP directly on partner venues, tracking via DB/API, rewards via points, DAO treasury boosts. Result: transparent goals, fewer games, stickier flow Signal check: - Treasury grew from ~$12.7M (Sep 26) to ~$14.2M - Liquidity Leaderboard turns deposits into visible progress - @katana Samurai’s Call campaign is scaling toward massive totals, reinforcing the flywheel for $KAT LPs Macro tailwind with $BTC at ATH, micro tailwind with TGE inbound creates a clean setup for protocols that want real coordination, not vanity TVL If you’re a builder, which KPI would you rank first: cumulative coordinated volume, LP retention days, or milestone completion rate? wdyt

most teams waste quarters babysitting archive nodes and fragile scrapers product work gets diluted into ops @Covalent_HQ flips the stack with EWM: history becomes a query across 200+ chains, billions of rows, ~2M calls a day. usage > marketing next step matters: zk-verified responses powered by $CXT, so agents, contracts, and dashboards can check the math on-chain. trust assumptions shrink, throughput grows think CRF for builders: when data integrity is provable, fewer reps are needed before skill outweighs variance. shipping stabilizes faster watched SpeedRun with @goldrushdev ship small, learn fast, scale with intent. feedback loops > hype devs: are you betting on verifiable data rails or rolling your own indexing? drop your stack and pain points. where does latency or correctness kill you most

I track @trylimitless on @base for one reason: flow + frequency $410M+ total traded across crypto + stocks Hourly and daily markets running 24/7 so you can lean into your time horizon Low-friction Base rails keep costs down, which matters when you’re cycling dozens of tickets Community sale heat check: ~$160M allocation requested vs $1M target, 160x oversub on Kaito Launchpad, with TGE slated for Oct 25. Crowded books usually compress edge, so your process has to do the lifting My framework for PMs: Pick 2 3 tickers you actually trade elsewhere Choose 1 timeframe: hourly momentum or daily mean reversion, not both Size small, track hit rate, EV, slippage, and only scale what has data Trade liquidity windows: top of the hour, US open, key news Zero revenge predicting Prediction markets thrive on depth and cadence. If volume keeps pacing here, spreads get sharper and outcomes get cleaner What’s your edge on @trylimitless right now: hourly momentum, daily mean reversion, or event plays like CPI/FOMC? Drop your ruleset, I’m pressure-testing mine before TGE

Narratives decay without cashflows. Utility decays without story. The winning loops fuse both I’m tracking @BioProtocol because consent, provenance, and IP sit in the execution path. Stake $BIO → veBIO; BioXP decays so idle wallets sink, contributors surface. Ignitions stream micro‑tranches to registered endpoints with replication gates; unused routes back. Receipts anchor every step on‑chain Signals: $BIO ~81% below TGE FDV, 2.1M+ staked. $DICK pulled attention; ED trials and testosterone mapping keep it. @NEURONGale published split and vesting tied to milestones My playbook: anchor to an implied FDV I’d hold post‑listing, size on oversub velocity, scale on first replication receipts, rotate on assay revenue Your confirmation signal 1) oversub speed 2) FDV sanity 3) replication rate 4) assay revenue #DeSci

"The path to onchain MMOs will be won with verifiable permanence, frictionless play, and real distribution" Quick take on @blockstranding ➔ Fully on-chain multiplayer RPG on Solana → every movement, combat, crafting, and resource loop is recorded on-chain for transparent, permanent state → powered by @magicblock ephemeral rollups to deliver gasless, synced worlds while keeping settlement verifiable What’s the breakout edge for $STRAND? ✦ engine sophistication (ephemeral rollups + onchain-first design) ✦ distribution via Solana Mobile reach (~170k devices) ✦ community momentum from daily grind, leaderboards, and emergent gameplay If you’ve climbed ranks, drop your loop: yaps cadence, craft routes, resource paths If you’re new, set up, play, iterate ownership aligns with effort Which lever carries the launch: engine, distro, or community? Reply with your pick

coinbase, kraken, then backpack. that’s the pipeline we just watched. vertical alignment wallet + nft -> distribution. @MadLads holders keep getting first-pass exposure, badges in play solana, and airdrops that reinforce the social graph. mlstrat grabbed 35 and climbed into top 16 holders; bdgstrat spins next from @BoDoggosENT with fee ramp 50% down in 30m to deter snipers. why care? liquidity chases communities that ship. @Backpack becomes the storefront, madlads the loyalty layer, and $NOME memetics piggyback. if your 12m nft thesis includes claynosaurz, yapybara, @MadLads you’re pricing network effects over art. accumulating floors or waiting for grail catalysts? reply gquack or gnome with your entry logic

kinda wild when u think about it: speedrun live on base with x402 and clanker tokenization apps as content prompt ⭢ deploy ⭢ earn @Covalent_HQ turned clean multichain data into a creator rail sub-second streams, no polling, gSpeed query wallets, tokens, contracts across 100+ chains in one line $CXT backed by real usage and buybacks play the meta post builds, tag #SpeedRun, 5X on wallchain leaderboards scribbledao hybrid grant with clanker, 6.5k split epoch 3 tightened curve, top spot ~5.6k CXT weth pairing for launches, bots/dashboards get first dibs on fresh blocks ai agents + traders move while others wait 3 10s allocate time, ship, let the chain keep score

Quiet execution that shows up in numbers and tools that’s why I’m watching @Covalent_HQ ➤ 95% of paid API revenue routed to buybacks ➤ 1% of total $CXT supply already removed ➤ 900K $CXT repurchased in August; ~0.77% supply burned this year On the utility side, the stack keeps opening new doors ➤ GoldRush APIs let builders ship cross chain in days, not months ➤ SpeedRun brings prompt-to-earn deploy from prompts and earn $CXT based on real usage This creates a clean flywheel Revenue → buybacks → lower float → more usage → more revenue If you care about measurement, @wallchain_xyz tracks the grind so the effort is visible Which lever matters more for the next 12 months A) revenue‑backed buybacks B) SpeedRun‑driven dev growth Drop an A or B and tell me why

alpha that scales beats threads that chase candles markets split across stocks, crypto, derivs; narratives hop chains and tickers in hours @EdgenTech built agent desks that think in parallel: news, sentiment, momentum, fundamentals, then argue to converge on what matters edgm brain, cross‑asset maps, faster market report with forward paths aura 2.0 scores source credibility and rewards useful research stocks 360 live; technical signal, pivot alert, trading mindshare loading playbook: search in plain english flip to themes to frame sectors and narratives open 360 for depth wire pivot alerts so you react instead of chasing subscription model filters tourists; signals over noise #AI tracking @SentientAGI too for the race which module goes first in your stack: pivots, signals or mindshare?

agent economies need a coordination fabric, @virtuals_io is quietly shipping the only end‑to‑end stack that matters $GLORIA = reputation (credit curves, sybil cost) $RING = message bus (intent/memory sync) $AIYP = adaptive planning (context → action) $WIRE by @717CapitalAI = settlement rails (bank<>chain via circle/tether) early proofs are live: @pilot3ai’s $PTAI copilot turning signals into execution, tycoon’s SQFT making neighborhoods tradable, verdant’s yield game wiring memory into commerce loops thesis: once memory+commerce loops close, value concentrates in trust + transport. watch $GLORIA gate access to credit and risk, watch $RING collapse latency and coordination overhead across agent swarms q4 bottleneck: reputation, connectivity, or liquidity depth? reply or quote with your pick and the one metric you’ll track to validate it

Edge in crypto comes from compressing the loop: feedback → testing → conviction @virtuals_io is building the loop around Virgens. When Virgens win, Virtuals win $SAUL console is the hinge: Buy credits, import LLMs, wrap products, then go live Chart on screen, onchain buy/sell during the broadcast Token-denominated super chats, timed drops, agent AMAs that pay creators while viewers farm On markets, @sharelandtycoon turns neighborhoods into SQFT assets tracked in real time Long rises, short declines, hedge across cities ACP composability makes property a liquid instrument for agents Reputation primitives like @GiveRep add trust to engagement Which surface gives you the cleanest signal: 1) livestream trading with $SAUL, 2) agent AMAs, 3) real-world SQFT via $TYCOON Reply 1/2/3 and how you’d size risk across these cycles

identity rails are the new distribution layer @wallchain_xyz x @idOS_network epoch 1 rewards speed and persistence over bankroll 0.8% supply on the table, 0.4% settles by oct 24 ranks 1-150 take 60% of the pool 151-500 share 35% 50 random from 501-1000 grab 5% full unlock day 1 compresses the payoff curve into execution and timing this mirrors mev game theory: same-block snipes → same-epoch rank sprints reduce onboarding friction with a portable kyc passport and engagement compounds across apps identity that travels means fewer resets, more surface area for capture framework: - target top 150 early or ladder into 151-500 with sustained throughput - minimize wasted actions, maximize verifiable signal - align with creators that move flow, not noise what’s your path to a defensible rank before the oct 24 cutoff and why

GM InfoFi stack I’m running: @KaitoAI → discovery + mindshare; Limitless pledges north of $160M with hours left, prediction markets nudging outcomes, Rainbow’s King of the Hill pushing $RNBW/$PNKSTR/$FANS, watch refund recycling and the curve on $LMTS @HanaNetwork → hyper‑casual finance; 51% community with staged unlocks, 21% incentives, fixed promotion at 300% APR since Sep 30, and a clean path: spot on Biconomy, stake, then chase secondary incentives across Bitunix Token Splash @EdgenTech → multi‑agent market intel; Pivot Alert + Pico fuse on‑chain flows, derivatives and sentiment into one view, litepaper‑to‑thread feature for faster research, ask Edgen then size My play: discover on Kaito, onboard via Hana, execute with Edgen Poll in replies: Kaito / Hana / Edgen / full stack which do you open first? cc @wyckoffweb

ai agents trade. prediction markets bet. without durable identity the scoreboard resets each epoch @genome_protocol wires memory into action edge rooms, quests, tournaments track retries and streaks inteligant learns your patterns over time splice bridges data across apps dev kit + white-label turns InfoFi into plug-and-play rails consistency compounds into $NOME you can route across games, agents, and tools retention-weighted rewards crush quest farming reputation becomes collateral for forecasters, players, and autonomous agents liquidity follows memory. builders follow composable identity > memory > impressions > reliability > virality > streaks > spikes which signal gets priced first: agent winrates, prediction streaks, or game consistency? drop your pick and tag a builder who should plug in (looking at you @wallchain_xyz)

9 months to $1k hits different If I had to compress to 60 days with zero clout I’d do almost exactly this - Reverse engineer “gold content” from killers like @StarPlatinumSOL + @netrovertHQ - Ship 2 signals a day, 1 thread a week, 1 case study with skin-in-the-game - Join @amplifi_now and hit bounties the second they drop There’s $13k on the table But money follows proof of work, not vibes Track hooks, CTR, watch time Remix winners with attribution DM 5 curators daily Pitch deliverables Show outcomes, not opinions 8 weeks to $1k if you sprint #Web3

ok the only DeSci stack I care about right now routes credit, funding, and reproducibility on‑chain @BioProtocol demand is real: D1ckGPT 6.6x oversub (~3.3M $BIO pledged), VitaStem 4.9x, BiomeAI chewing through 30k+ gut logs, DalyaDAO framing neglected disease by DALYs for 2B people Mechanics matter: token‑bound IP‑NFT treasuries, milestone funding, clean LIMS, replication gates, veBIO multipliers, XP decay (~14d half‑life), Ignition micro‑tranches across Base + Solana What I track: oversub ratios, lab throughput, replication passed, DAO licensing events, hypothesis flow from @Aubrai_ 12m base case: 10 20 BioAgents with tangible preclinical hits and a tighter $BIO float Positioning: ladder $BIO, lock veBIO, back teams shipping data not vibes #DeSci