Ilja

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Ilja

Ilja

@Iljasaf

DePIN degen

Katılım Temmuz 2021
230 Takip Edilen444 Takipçiler
Ilja
Ilja@Iljasaf·
RT @GEODNET: March just printed the largest GEOD buyback ever. 🔥 $630,751 in GEOD burned Real usage → real revenue → real buybacks Specu…
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Ilja
Ilja@Iljasaf·
@mikeahorton This thing is so cool. I would definitely order one. But those EU regulations are crazy. Can't have this next generation device patrolling on my own property
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Mike Horton
Mike Horton@mikeahorton·
This big boy is ready to secure my home! Soon every home will have a drone doing perimeter checks, catching things before they become problems. Reserve it! kickstarter.com/projects/hyfix…
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ROVR 🌐｜World Model Builder
ROVR 🌐｜World Model Builder@ROVR_Network·
Excited to officially announce our strategic collaboration with MaprGo —— an AI-native mapping infrastructure company. ROVR captures the physical world. MaprGo understands it. Together, we're closing the loop between physical sensing and semantic understanding, and building the pipeline that turns real-world data → spatial intelligence → world models. The infrastructure layer for Spatial AI is coming online. @maprgo/maprgo-and-rovr-network-are-joining-forces-to-build-the-foundational-spatial-intelligence-0d65af434319" target="_blank" rel="nofollow noopener">medium.com/@maprgo/maprgo…
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Krypto Insider 💫
Krypto Insider 💫@KryptoInsider1·
Robotaxi adoption is gaining momentum. Uber launched Autonomous Solutions to help partners scale autonomous mobility and Waymo aims to reach one million robotaxi rides per week. According to @ARKInvest , robotaxis could generate up to ~$34 trillion in enterprise value But the real problem still lies in the data. Robotaxis rely on a complete and accurate understanding of their environment. This requires highly accurate and up to date 3D maps of every road they operate on. Even small gaps between the data used to train the system and real world conditions can quickly lead to serious issues. - Cities change constantly. - Construction appears overnight. - Traffic patterns shift. If the map is outdated, the system is already behind reality. This is why I believe the number one challenge for autonomous transportation is the freshness and coverage of the underlying data. This is exactly the problem @ROVR_Network is solving. A decentralized and continuously refreshed 3D data layer powered by real world vehicles. Not occasional mapping cycles. But living ground truth that evolves with the real world.
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Mike Horton
Mike Horton@mikeahorton·
Good news. Last two weeks in a row, record @GEODNET usage. Week over week growth 10%+. Spring is here and the robots are coming online. What app is driving this?🤔
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DeCryptowey
DeCryptowey@DeCryptowey·
@GEODNET with the buy backs. Meme coins have hype but they die in a day or a week later Ghost chains with no users have hype and die. But some DePIN projects out here are building a real product with customers and revenue
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DeCryptowey@DeCryptowey

@GEODNET quietly with no hype and no major exchange listings has become one of the top DePIN projects out there. 5.5 million in revenue 🔥

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Karam Lakshman
Karam Lakshman@KaramLakshman·
I built myself an agentic phone os sorta and its become my daily driver. It's not an app running on my phone - it is my phone. I don't need an app store - I can vibe code my own apps instantly, it can control my phone for me and it proactively works to help me save money, make money and make me healthier. Would love to hear feedback, I'm in the process of cleaning up a build that you can try as well. #OpenClaw
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ROVR 🌐｜World Model Builder
ROVR 🌐｜World Model Builder@ROVR_Network·
🚀 ROVR World Model Update Our latest world model reconstruction keeps improving. Built from real-world LiDAR + camera data collected by the ROVR network, this dataset is already attracting growing interest from companies working on robotics, autonomy, and spatial AI. We’re now preparing larger curated datasets for partners. 🌍 The physical world → machine learning fuel. #DePIN #SpatialAI #WorldModel #Robotics
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Meije
Meije@MeijeSibbel·
Geodnet stations sourced from the community and installed directly with paying customers in Brasil💪🇧🇷 Revenue directly going to burning more GEOD and further expanding the network.
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DeCryptowey
DeCryptowey@DeCryptowey·
@GEODNET quietly with no hype and no major exchange listings has become one of the top DePIN projects out there. 5.5 million in revenue 🔥
Solana Daily@solana_daily

Top DePIN Projects by Annual Revenue in the Last 30 Days 📈 🔸@helium | $13.24M 🔸@chutes_ai| $6.1M 🔸@GEODNET | $5.57M 🔸@ionet | $5.54M 🔸@doublezero | $4.89M 🔸@Filecoin | $1.3M 🔸@rendernetwork | $1.1M 🔸@Livepeer | $813.8K 🔸@akashnet | $789.5K 🔸@BuildOnNodeOps | $233.4K

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GEODNET
GEODNET@GEODNET·
By building a decentralized RTK network, we’re transforming location from a best-effort signal into a precision-grade infrastructure layer, one that autonomous systems can depend on globally. As robotics, AI agents, and machine-to-machine coordination accelerate, positioning is not a background utility any more and becomes a core trust primitive 🦾
Teng Yan@tengyanAI

Read the full deep dive on @GEODNET here: chainofthought.xyz/p/gps-is-for-h…

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GEODNET
GEODNET@GEODNET·
ROVR Network unlocks global 3D data through distributed contributors, and when paired with GEODNET’s decentralized, centimeter-level precision layer, the stack gains the positional truth required for real-world autonomy at scale. Scalable AI needs scalable data + accuracy. Bigger integrations coming soon🚀
Krypto Insider 💫@KryptoInsider1

Who owns the data that powers spatial AI? Today, much of the largest and most tightly controlled driving data is developed by a small number of major technology companies. • Waymo. • NVIDIA. • Others with significant capital. They rely on proprietary fleets, tightly calibrated sensor systems, and curated data releases. It delivers depth and consistency. But global coverage is a different challenge. @ROVR_Network takes a structurally different approach. Instead of relying on a vertically integrated fleet, ROVR operates a decentralized contributor network. Participants capture high precision 3D and spatiotemporal data using standardized hardware and receive token incentives. No single proprietary fleet. Coverage expands through distributed participation. The tradeoff is real. Centralized models prioritize calibration control and annotation rigor. Distributed networks prioritize geographic breadth and expansion into underrepresented regions. Both approaches have value. But if spatial AI is expected to function across diverse global environments, data collection cannot rely solely on centralized fleets. ROVR is building infrastructure designed for distributed global scale.

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vibhu
vibhu@vibhu·
Investing in the $50b+ Solana ecosystem is hard if you don't know where to start. That's why @SolanaFndn and @Blockworks built Lightspeed. We're starting our coverage with @AxiomExchange, @Collector_Crypt, @DriftProtocol, @ellipsis_labs, @GEODNET, @helium, @humidifi, @JupiterExchange, @MarinadeFinance, @MetaDAOProject, @MeteoraAG, @orca_so, @Pumpfun, and @Raydium. We'll be publishing quarterly institutional-grade investor updates on SOL, as well as notes on the top tokens & apps in the ecosystem. Note: Lightspeed access is gated to funds with > $50m in assets, or large holders of SOL.
Solana@solana

Introducing Lightspeed. Crypto's first investor relations platform, built with @Blockworks for professional allocators and the Solana ecosystem. Get access here: lightspeed.vip

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Keşfet

@GEODNET @mikeahorton @alexdolbun @CoinMarketCap @ARKInvest @ROVR_Network @KaramLakshman @elonmusk