OPEN (OPEN)

Gm CT On @KaitoAI I built a micro‑routine: log in, lock in and move with intention. Each session I pick 2 pools to focus, drop 3 5 yaps, quote and react for visibility, then circle back when engagement waves hit. The weekly reset hits like a dopamine button and keeps me honest Right now it’s stack season: 10 days to @GOATRollup monthly snapshot, @Infinit_Labs S3 wraps Dec 16, and Top 100 get LB → XP in @integra_layer’s City of Integra. If you’re eyeing rewards, @OpenledgerHQ YAPENING is pushing 250,000 $OPEN to the top 500 yappers. Views matter, timing matters, consistency wins ⚡ My goal this week: sneak into Top 100 before the snapshot and hold. What’s your Kaito grind checklist looking like today #kaitoyap #Kaito #AI #Web3?

$OPEN are you ready for the next leg up? https://t.co/InsqT0hFFv

$OPEN is fighting right on top of the Ichimoku cloud support again. A breakout over $7.30–$7.35 would flip the structure bullish and open the path toward $7.80+. Tight range… pressure building. One good catalyst and this thing pops. https://t.co/mOA7C4jyO6

gm this reads like the first onchain data hustle that isn’t charity minute-scale $OPEN micropays + enterprise-funded buybacks into 0x453243D085E73f1ed471E87cc4cDc7F42AfB9780 makes contributor yield believable my niche datanet: fps hitmarker false positives, controller drift traces, anti‑cheat noise, aim curves, recoil patterns, labeled VOD segments → hash + license → PoA → resubmit on disputes → farm flow on @OpenledgerHQ verifiable attribution + treasury-backed repurchases, who’s shipping gamer sets next

Tried an end-to-end run on Open Mainnet this morning uploaded a tiny labeled dataset, kicked off a fine-tune, and watched PoA receipts land on-chain like receipts you can actually audit ✅ Every model call, lineage hash, and micropayment was visible thanks to @OpenledgerHQ $OPEN micro-rewards trickled in and the whole flow felt composable and real 🐙 Seeing the 5M $OPEN buyback funded by enterprise revenue makes this more than theory it’s an economic loop: verifiable data → agentic actions → on-chain payouts Who’s building revenue-sharing agents or datanets I can plug into next, and what’s your first micro-reward target?

Real PoA rails on @OpenledgerHQ hitting instant non-custodial micropayments back to source is actually insane. Data streams flipping from extractive blackbox to liquid provenance feels like the moment AI economics stops robbing contributors in broad daylight. $OPEN isn’t a claim—it’s full settlement rails. DeAI is gonna vaporize the Web2 leech model.

I have been a believer of what @OpenledgerHQ is building. I am going to do a daily price update of $OPEN until we get back to a reasonable price of $0.5 to $1. The team had started another wave of buybacks from enterprise income, I believe this buybacks will be very important to sustain Proof of Attribution long term. Current price : $0.227 ATH : $1.82 ATL : $0.209 C. Supply: 215.5M

Just tested this pipeline on @OpenledgerHQ dropped a niche video dataset into Datanets: hash + license + timestamp chained, Proof-of-Attribution pings my address instantly, influence score shifts smooth; forked a lightweight model via ModelFactory + OpenLoRA, handed it to OPEN Agent for a natural language run. OpenGradient's TEE+ZKML spits back encrypted receipts, fully replayable on-chain, micro $OPEN inflows hit based on proofs, no luck needed, just credentials damn, it's clicking Mainnet's humming, contributions to settlements locked in tight, leaderboard's no joke. Backed by enterprise revenue, that 5M $OPEN buyback rolls on, pure cash flywheel no inventory BS, got me stacking harder. Layer on @miranetwork $MIRA's identity + rep stack, agent chats flip from you who? to prove it game changer for verifiable econ Next move: chaining a cross-domain intent agent to stress-test multi-modal convergence, or dumping ancient archive scans for cultural proof flows? Who's running what first let's see those zero-know receipts stack #OnchainAI #Datanets #AgentEcon #OpenLedger