A New Chapter in Web3 Storage: Decentralized Storage Protocol Walrus to Launch Mainnet, Announces WAL Token Allocation Plan

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The historical free cash flow (FCF) of EVs essentially reveals the brutal reality of the electric vehicle industry and Tesla's unique position. (A gambling dog style setup, betting on a blowout in US stocks) Key points: 1. Tesla's dominance and J-curve The only success story: The thick red line in the chart represents Tesla. As seen, Tesla was also burning cash in its first 10 years (the curve downward), indicating a significant cash burn during that period, with cash flow once dropping to around -9 billion USD. Crossing the valley of death: However, after about year 12, Tesla successfully reversed course, with cash flow beginning to grow exponentially, eventually reaching a positive 21.7 billion USD. This indicates it has moved past the high-risk startup phase and is now a company with strong self-sustaining cash generation capabilities. 2. The cash-burning abyss of competitors Rapid cash burn: All other colored lines (Rivian, Lucid, Nio, etc.) are below the zero axis, trending sharply downward. This means these companies are currently consuming cash on a large scale and have not yet achieved positive cash flow. 3. Rivian's dilemma: Rivian has burned through 23.2 billion USD in a very short period (about 5-7 years), a figure that even exceeds the total capital Tesla consumed during its toughest times and surpasses Tesla's current accumulated positive cash flow. This shows that the capital threshold for latecomers is higher than that of early Tesla. 4. An alternative perspective: Could @Rivian $rivn be the next 20x opportunity? Today, in 2026, its price is 15 USD... Mark it and set up a bet to see if it pays off. Diversified investment (continuously buying $wal @WalrusProtocol's own) Thanks, stock addicts.

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Storage Is Where Web3 Apps Usually Break Many Web3 apps feel great in demos but struggle with real users. One common reason is storage. External links fail. Centralized servers become bottlenecks. Trust assumptions creep in. @walrusprotocol approaches this problem differently by designing storage that assumes failure and plans around it. Data is distributed, resilient, and retrievable without depending on a single point of control. This matters more as applications mature and user expectations rise. $WAL supports an infrastructure layer that lets builders focus on product instead of damage control.

Walrus is a decentralized storage network built on Sui that keeps data safe without trusting one provider. It splits files into pieces spreads them across many nodes uses sealers to verify storage and rewards honest providers with WAL while punishing failures to ensure reliable censorship resistant data storage@WalrusProtocol #Walrus $WAL