🔥 Is @avm_codes | $AVM really tackling enterprise dev costs? 1️⃣ For big orgs, the hidden killer isn’t just salaries or licensing but also it’s infra drag. - Servers idling. - Over-provisioned scaling. - Engineers babysitting infra instead of shipping product. 2️⃣ Could $AVM’s model be attacking that head-on? - 120-second execution limit, pay only for active compute time - Zero provisioning / scaling configs / infra management, kill the setup bottleneck entirely - API-first, devs can plug in and execute without touching ops That’s fundamental shift in cost structure. In an enterprise environment, shaving infra overhead can free millions in budget and shorten time-to-market. 3️⃣ The Nigeria pilot is proof-of-concept: - Students at the Federal University of Technology Minna built working tools on AVM in days, with no infra complexity. - If a new dev team can onboard that fast, imagine what an enterprise R&D department could do. This is why $AVM feels less like a niche #AI product and more like a deployment standard in the making. It’s cheaper compute and it’s compute that’s easier to adopt, easier to scale, and harder to waste. -> For enterprises, that’s the holy trinity: lower cost, faster build, zero idle burn. TA: The MACD program signal has shown a bullish crossover, confirming a reversal and setting the stage for a sustained uptrend, similar to the case of $SERV from my earlier call 📈 Other accounts bullish on $AVM worth a follow: @ElonTrades @DEXLaboratory4 @bobtherebuilt @0xlav7 @Oli_Oli_crypto @OnlyHades_ @nordin_eth @ZenRacc00n @xProfGonzales @crypto_popseye @degenApe22