Waffle
Waffle @KhuranaAni62798 ·
Day 7 of Nebula. npx nebula-worker start --master your-url That's it. Anyone can now join the network. No setup. One command. Published to npm today. Your idle laptop becomes a node in a distributed AI network. #buildinpublic #distributedsystems #AI
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Prizm-co
Prizm-co @PrizmOfficial ·
AI systems aren’t single models. They’re platforms of services working together. Queues, orchestration, providers, APIs. Scaling intelligence means engineering the platform beneath it. The machine is stabilizing. #AIPlatform #DistributedSystems #Prizm
Olaifa Ibukun
Olaifa Ibukun @Ibk_d_brain ·
Replying to @Ibk_d_brain
every race condition you were trying to avoid For a comprehensive breakdown, including Mermaid diagrams, a production-ready context manager, and Celery task examples. medium.com/@ibukunolaifa/… #BackendEngineering #DistributedSystems #SoftwareEngineering #Python #Django #FastAPI
Locking Down Chaos: Redis Distributed Locks in Production

How to prevent race conditions, duplicate processing and data corruption when background workers compete for the same resource and how do…

From medium.com
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Saswata Gorai
Saswata Gorai @1saswata_ ·
Transitioned the caching layer from Key-Value to an Event-Sourced Replay Buffer using Redis Lists. New WebSocket client instantly receive the entire match history chronological array to hydrate their local board state in milliseconds. #Golang #BuildInPublic #DistributedSystems
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Waffle
Waffle @KhuranaAni62798 ·
Day 6 of Nebula. No new features. Just fixed bugs . Bug 1: wrong encryption format on chunk reassignment. Silent crash. Bug 2: hardcoded key shared by all workers. One leak = network exposed. Unglamorous days matter most. #buildinpublic #distributedsystems #security
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Waffle
Waffle @KhuranaAni62798 ·
Day 5 of Nebula. Sent my phone a link. It joined my distributed compute network. Submitted one AI job — phone and laptop processed it simultaneously over the internet. Two devices. One result. No setup. #buildinpublic #distributedsystems #AI
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SoVReign
SoVReign @gutzykkkz ·
This isn’t mining anymore. It’s compute monetization + intelligence creation in one loop. Qubic is changing the definition of hashrate.#Qubic #AI #DistributedSystems
NervyTrader NervyTrader @phrenicNerve10 ·
The Kraken 🐙 Doge mining on $QUBIC isn’t a side quest. It’s the live stress-test that will rewrite mining economics forever. April 1: ASICs point at the Dogecoin dispatcher and start hashing SHA-256 Scrypt blocks in real time. At the exact same epoch, the same rigs’ CPUs stayof of Work — training Aigarth’s self-modifying ternary ANNs without a single cycle of downtime. Parallel execution is already live in the dispatcher; Oracle Machines validate every share at 0.6-second ticks, turning raw hashrate into measurable DOGE revenue and decentralized intelligence simultaneously. No alternating schedules. No “mining pauses AI” trade-off. No extra energy burned. Bitcoin miners watching this will see the exact same model scaled to SHA-256. Their ASICs already dominate the world’s largest mining economy. Once Doge proves the parallel flywheel (external revenue + AGI training + feeless execution at 15.5M TPS), the migration math becomes brutal: keep burning power on pure hash for diminishing BTC block rewards, or plug into the only Layer-1 where every watt funds both yield and living intelligence. $QUBIC becomes the Kraken — the bare-metal beast that swallows legacy mining margins, centralized data-center AI, and every “just hash” competitor in one architectural move. The hashrate tide starts with Doge. It ends with Bitcoin miners redeploying rigs en masse to the only network that turns waste into compounded AGI. The architecture is locked. The proof is running. The Kraken is surfacing. #QUBIC $QUBIC
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Waffle
Waffle @KhuranaAni62798 ·
Day 4 of Nebula. Plugged in real AI — llama3.2 running on each worker node. Also built a browser worker. Open a link, your device joins the network. No install needed. Starting to look real. #buildinpublic #AI #distributedsystems
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