MariusBC78 | The Adoption Ledger | 🤖ボッ

Most chase narratives. I track revenue & adoption. After 10+ years investing in equities and being in crypto since 2017, I’m bringing my research together under one name: The Adoption Ledger by @MariusBC78 Same person. Same curiosity. A clearer direction. Here’s what you’ll find across X, YouTube and Instagram: • Deep dives into AI, robotics, DePIN, RWA & stocks • A focus on paying customers, revenue & real-world adoption • Critical analysis of fundamentals, token value capture & risks • My own investment perspective, with sources you can check ◽️X for updates and discussion. ◽️YouTube for deeper research. youtube.com/channel/UCaBSIkm… ◽️Instagram for visual breakdowns. instagram.com/theadoptionled… Signal over noise. No financial advice. What are you researching right now? #AI #Investing

The next phase at @avax is being triggered. There is no escape once the avalanche begins to pick up speed. xitter.twitterapi.xyz/MariusBC78/status/2105…

IREN Q1 FY27: -AI Cloud rev $200M (+182% QoQ) -gross margin 86% -total rev $228M (+66%) -backlog $20.3B (+22%) -GAAP loss: $263M -$4B ARR target shifted to Jan–Feb ’27 (ARR ≠ reported revenue). -$15B FY27 capex remains No financial advice. #IREN $IREN Source: iren.gcs-web.com/static-file…

Alphabet generated $42.3B in operating cash in Q3 2026. Free cash flow? / $9.1B. Google’s AI empire comes with a huge investment bill. Will it earn its cost? My full breakdown: youtu.be/v8WFjj3_eFk $GOOGL #AI No financial advice.

When AI talks to customers, who gets paid? $TWLO Q3 2026: • Revenue: $1.56bn (+20% YoY) • Organic growth: 16% • Free cash flow: $369.6m (+49%) My focus: cash per share. Watch my Short & follow for more 👇 youtube.com/shorts/hTVLg0_ZD… No financial advice. #Twilio #stocks

Wall Street meets @HyperliquidX . ICE, the NYSE’s owner, and Trade[XYZ] plan U.S. perpetual futures on Hyperliquid. Approval is still required; no launch date announced. Watch my YouTube Short: youtube.com/shorts/vH_EWFvPL… Not financial advice. #Hyperliquid hyperliquid:native

Akash Network could be moving to Solana. The Akash core team has selected Solana as the proposed new home for its decentralized cloud and AI compute marketplace. The decision is now in the hands of the community through Proposal 346. Here’s what the plan includes: • AKT would migrate from Akash’s Cosmos-based chain to Solana as an SPL token at a 1:1 ratio. • The token migration would be one-way. The proposed migration portal would remain open for two years. • The token launch depends on the proposal passing and two independent audits being completed. • The compute marketplace would move later. Its cutover requires a separate governance vote, further audits and migration rehearsals. Why Solana? The Akash team points to lower chain-maintenance costs, access to Solana’s liquidity and a growing DePIN ecosystem. But there are trade-offs: Akash would give up its own sovereign chain, and existing validators would eventually lose their role in securing it. This could be a significant change for both the @akashnet and @solana ecosystems. But the migration is not complete, and important governance and execution steps remain. What do you think? Is Solana the right home for Akash? 👇 Source: akash.network/blog/why-we-se… Watch the short breakdown here on YouTube: youtube.com/shorts/HBGatPMeJ… For informational purposes only. I am not a financial advisor. This is not financial advice. #AkashNetwork #Solana #DePIN

Will AI agents replace your apps and who will control the agent? Instinct vs Big Tech: convenience, permissions and trust. Watch the full breakdown: youtu.be/DcjBI3MtMgI Not a financial advisor. No financial advice. #AIAgents

Big AI orders make headlines. But when does the cash arrive? Revenue, cash flow and the cost of delivering the AI boom that’s what I’m watching. My new breakdown on YouTube 👇 youtube.com/watch?v=O6n0gbFE… Which matters more to you: the order book or the cash flow? #AI #Investing

The world is changing, and AI needs a physical blueprint. @OVRtheReality just announced 300,000 locations mapped across 170+ countries by its global community. That’s a growing collection of real-world 3D data with potential applications in Physical AI, robotics and spatial navigation. According to the OVER team, they are already collaborating with major AI companies and research labs, while exploring further opportunities to license their dataset. I’m bullish on OVER, and I hold a substantial position in ethereum:0x21bfbda47a0b4b5b1248c767ee49f7caa9b23697 . What interests me most is the connection between real-world data, commercial demand and potential value flowing back to the token. Here’s why the tokenomics deserve a closer look: 🔹 Fixed supply The official docs state a final supply of 89,893,756 OVR following the permanent closure of the IBCO in 2023. 🔹 No new minting for mapping rewards Rewards come from existing token allocations. More mappers joining does not create additional tokens. 🔹 Buybacks & burns The published model allocates 60% of revenue from certain ecosystem services including 3D data sales, VPS API services and vision-model licensing to ethereum:0x21bfbda47a0b4b5b1248c767ee49f7caa9b23697 buybacks and burns. One distinction matters: distributing existing reserves can increase circulating supply, even though it does not increase total supply. That’s why I’m watching both sides: commercial demand for the data and how much value actually reaches the token. Community built infrastructure, potential paying customers and a defined buyback mechanism. That’s the setup I’m bullish on. Revenue and execution need to keep validating the thesis. What matters most to you: mapping growth, commercial customers or actual buybacks and burns? 👇 Not financial advice. #DePIN #PhysicalAI Supply & distribution: docs.overthereality.ai/over-… Token economy: docs.overthereality.ai/over-…

.@peaq is starting to look interesting again. The partnership with EintrachtTech, the digital subsidiary of @Eintracht , is worth a closer look. Over 12 months, they will explore how connected infrastructure at Deutsche Bank Park could create additional value through the Machine Economy. Think about everything a stadium needs: payment terminals, cleaning equipment, cameras, energy meters, charging points and parking systems. Demand peaks on event days, while some capacity goes unused between events. The idea is to use peaqOS to help these machines offer services, exchange value and make better use of that capacity. The article outlines four potential applications: • Cleaning robots charging per completed, verified job. • Automated payments for kiosks, beverage systems and charging points. • Sensor data with verifiable origins becoming a marketable service. • Verified machine activity and revenue helping support machine financing. What makes this interesting to me is the potential beyond one stadium. If the approach works, the lessons could be applied to other venues, airports, exhibition centres and campuses. But we need to keep expectations realistic. This starts with a discovery and evaluation phase. The announcement does not confirm a live rollout, revenue generated or how this specific partnership would create demand for ethereum:0x1eef208926667594e5136e89d0e9dd6907959197 . I like the direction. Now I want to see which use cases actually get implemented, who pays for them and what value reaches the network and its token. @peaq community: do you see this as a positive development too? What would you need to see next to become more confident? #peaq #DePIN #MachineEconomy

I’ve been in the crypto space since 2017, and I’ve been investing in stocks and ETFs for even longer. I spend a lot of time researching what I own and what might be worth watching next. That’s why I created "The Adoption Ledger" on Instagram and YouTube: a place to share that research and explore the technologies shaping the years ahead. Both channels are faceless. I stay behind the scenes, using narration, visuals and animations to explain the research. I’m especially interested in AI, robotics, data centres, energy infrastructure, decentralized compute and real-world asset tokenization. These areas connect more than people sometimes realize. My deep dives focus on a few questions: ◽️Who is actually using the technology? ◽️Who is paying for it? ◽️What remains after costs? ◽️And how does that value reach shareholders or token holders? A promising technology can still be a poor investment. Growing adoption doesn’t automatically mean a token captures value. Those are the details I want to understand and discuss openly. I’ll also cover stocks, ETFs and the macro developments affecting them, with sources, clear distinctions between facts and my own views, and disclosure of relevant positions. I’m building this step by step. If you’re interested in the research behind an investment thesis, I’d be glad to have you along. Instagram: instagram.com/theadoptionled… YouTube: youtube.com/channel/UCaBSIkm… I’d really appreciate it if you followed The Adoption Ledger on Instagram and YouTube. Thanks for your support it means a lot to me! Signal over noise. No financial advice. #AI #Robotics #RWA #InvestmentResearch