$ICP pump was an exit liquidity and not a bullish impulse m | ero_crypto on X on Binance Square

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$ICP  pump was an exit liquidity and not a bullish impulse move.Lost the key level, retest and dump harder.

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One of the most overlooked parts of $DMTR is how strong the #ESG results already are for agribusinesses using the platform. ℹ️ Early adopters are reporting a 148% return on investment, alongside a 22% increase in profits. These aren’t marginal gains. They come from better forecasting, reduced inefficiencies, and access to higher-value markets that require verified data. ℹ️ Water usage is another key metric. Farms using @dimitratech tools have achieved up to 37% reductions in water consumption. This matters not only for sustainability goals but also for cost control in regions facing increasing climate pressure. Regulation is where this compounds. With the EU #EUDR now active, producers must prove origin, land use, and environmental compliance to access EU markets. Dimitra provides that verification layer, using blockchain-backed traceability to make the data auditable and trusted. 👉 This has a direct financial impact. Compliance unlocks EU market access and premium pricing, while non-compliance risks exclusion altogether. For early adopters, this creates a structural advantage that late movers will struggle to catch up to. 📈 From an investor perspective, this is what matters. ESG isn’t a checkbox here. It’s driving measurable ROI, regulatory access, and revenue, which flows back into the ecosystem and ultimately supports DMTR buybacks. Infrastructure that improves margins while meeting regulation tends to scale. DMTR is already proving that.

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EUDR x $DMTR / @dimitratech 🇪🇺 #EUDR has become one of the most discussed regulations in agriculture. It’s real, it’s coming, and getting compliant takes time. ℹ️ Large companies now have until December 30, 2026 to comply, while small and micro enterprises have until June 30, 2027. The core requirement remains: proof that commodities like coffee, cocoa, soy, and palm oil are not linked to deforestation. The problem EUDR is trying to solve is massive. Between 2002 and 2024, the world lost 16% of global humid primary forest cover, largely driven by commodity supply chains. This is a structural issue tied directly to climate risk and market access. 👉 Meeting EUDR requirements means proving origin, land use history, and environmental compliance across complex supply chains. That isn’t something producers can fix overnight. 🟢 This is where $DMTR stands out. It provides end-to-end tools for EUDR compliance, combining satellite verification, AI-driven monitoring, and blockchain-backed traceability. The focus isn’t just on meeting the rules, but on making compliance practical for farmers, cooperatives, and agribusinesses. 🟢 On the environmental side, farms using Dimitra tools have been able to cut water usage by up to 37%, a critical metric as climate volatility increases and water costs rise. So the earlier producers adopt the right systems, the lower the cost, risk, and disruption when enforcement begins. DMTR’s platform helps agribusinesses track environmental impact, improve resource efficiency, and meet compliance requirements using AI, satellite data, and on-chain verification.

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How $ROVR / @ROVR_Network / is Outscaling Waymo and #NVIDIA in Real-World Data. When we talk about autonomous vehicles, we usually look to giants like @Waymo and @nvidia. For years, these two have been the benchmarks for autonomous driving data. But let’s look closely at the data. 👉 Waymo is incredible, but it’s limited to about 25 cities. 👉 NVIDIA has a broader reach, but its dataset is largely static, stuck at around 300,000 clips with machine-generated labels. Here is a better breakdown: 🔹Scale: NVIDIA offers ~300k clips and Waymo sits at ~570 hours. $ROVR has exploded past them with 3 million clips—a volume 10x larger and still climbing. 🔹Reach: Waymo is confined to 25 cities; NVIDIA to 25 countries. $ROVR dominates with coverage in 100 countries. 🔹Quality: While NVIDIA relies on machine-generated labels, $ROVR matches Waymo’s human-verified precision but scales it globally with automotive-grade sensors (Lidar, GNSS RTK). The difference is massive. ROVR uses a #Web3 model that rewards real people for contributing; it has exploded in scale. 🔹Scale: ROVR is already 10x larger than the competition, boasting 3 million clips compared to NVIDIA’s 300k. 🔹Diversity: While the giants are testing in predictable environments, ROVR is capturing real-world chaos across 100 countries. 🔹Quality: ROVR provides human-verified, high-precision labels using automotive-grade sensors (Lidar, high-res cameras) that are ready for commercial use right now. 🌐 The critical difference is the model. ROVR is a living Web3 ecosystem. ROVR solves the scalability trap that the giants are stuck in. This is where ROVR changes the game.

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