SHsamuel Huincosmoedge.hashnode.dev·3d ago · 8 min readHow Many Cameras Can an Edge AI Box Really Handle?“Eight cameras” sounds like a hardware specification. It is really a statement about a workload. Eight streams running a person detector at 5 FPS ask something different from eight streams running tha02A
BCBrock Clausseninfoxhole.hashnode.dev·Oct 5 · 5 min readClassify the errors before you trust the scoreOpenAI is shutting off gpt-5.4-nano on 1 April 2027. In Mousing, my document extraction platform, nano did two jobs: it classified incoming documents, and it was the verifier, the second model that re00
LCLevelbrook Consultinginlevelbrook.hashnode.dev·Sep 21 · 9 min readHow to read a coding-agent benchmark without getting soldA nine-author study this week pulled a coding agent apart into its components and measured each one across 176 configurations. The findings are less exciting than any vendor slide and more useful than01B
DGDebashish Ghosalinpragmatic-engineer.hashnode.dev·Sep 16 · 4 min readOne Hung API Call Used to Kill My 1,000-Run Benchmark. Here's the Fix.The experiment was fine. The runner was the bug. A single hung API call discarded hours of completed work, and I kept blaming the data. If your long-running eval keeps dying at 80%, this is the five-p00
OZOliver Zehentleitnerinblog.technopathy.club·Sep 13 · 10 min readpicows in UNICORN Binance WebSocket API: Up to 2× the Throughput, Opt-In for NowUNICORN Binance WebSocket API (UBWA) has used websockets since day one. Since UBWA 2.16.0, you can switch a manager instance to picows, a Cython WebSocket implementation. For typical Binance messages 10
MTMuhammad Tahirinmtdeveloper.hashnode.dev·Sep 11 · 14 min readBenchmarking Vector Databases: High-Throughput Semantic Search at Scale with Node.js & PythonThis article was originally published on Muhammad Tahir's Portfolio. Introduction & Industry Context In 2026, the proliferation of AI-powered applications, especially those relying on Retrieval Augmen00
HGHarrison Guoinharrisonsec.hashnode.dev·Sep 10 · 9 min readSame Model, 13.3% to 38.3%Two API settings. Same model. Same benchmark. Same task set. 13.3% to 38.3%, using one sixth the output tokens. OpenAI published that result about GPT-5.6 Sol on ARC-AGI-3, and it is the cleanest natu05A
AKAman Karkiinamankarki.hashnode.dev·Aug 30 · 6 min readI Benchmarked My Vector Database Against Qdrant and ChromaI've spent the last couple of weeks building a vector database from scratch in C++ — my own HNSW index, my own storage engine, my own quantization. This week I finally pointed it at real data and ran 10
PMPrzemek Marzecinsovantica.hashnode.dev·Aug 27 · 8 min readA LongMemEval-S number you can reproduceWe held off on posting a benchmark for a long time. Not because we didn't have runs - because most memory benchmarks you read are a number with no way to check it. A blog says "X%", and you have no id00
NNNipun Nairinnipunnair.hashnode.dev·Aug 2 · 4 min readStreaming Showdown: Kafka vs Redpanda vs NATS, benchmarked honestlyIf you've ever had to pick a message broker or streaming platform, you've run into the same wall I did: every vendor comparison is written by the vendor, "benchmarks" quietly compare a tuned cluster a00
