
Assessment | Elevare Performance
Answer 13 questions to score your performance system across 8 pillars in 3 minutes.
@JoshDeLucia · X
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Answer 13 questions to score your performance system across 8 pillars in 3 minutes.
@JoshDeLucia · X

Benchmark local coding models on consumer hardware to measure accuracy, latency, and throughput across 27 tasks.
u/Unfair_Association89 · Reddit
I built a reproducible benchmark for local coding models (Ollama, 27 tasks, live leaderboard) ran it on my 8GB card, here's what I found I kept eyeballing "vibes" to decide whether one quant of a coding model was actually better than another on my machine, so I built Sakura to get real numbers instead. What it does: - Points at any Ollama model and runs it through 27 hand-curated tasks: codegen, bugfix, SQL, refactor, systems design, protocol implementation, and terminal-agent episode

Practice system design, DSA, and coding interviews with AI-powered mock interview scenarios.
@ShivanshAg50455 · X

Compare latency and throughput performance across LLM API providers.
@QAInsights · X

Automate load testing for modern teams without complex setup or manual scripting.
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional

Scale software testing by deploying deterministic agents across web, iOS, and Android. Replace manual QA and brittle automation.
@RoverlyAI · X

Test and monitor APIs with real-time insights and load testing capabilities.
@SajidAbuba74138 · X
A tool for developers

Visualize hardware performance metrics while running LLM inference on your system.
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference

Submit kernel patches and engine optimizations for LLM inference speed, benchmarked on dedicated hardware.
carsenk · HN
Frontier.fast – Help push the frontier of LLM speed forward

Measure your GPU's real memory-bandwidth ceiling for local AI in 30 seconds.
Ar5en1c · HN
Headroom – measure your GPU's true bandwidth ceiling for local AI
View your performance points, estimated rating, and growth gaps at a glance.
@DiyaVijay6 · X
Check out what I just built with Lovable!

Measure code review performance across GitHub teams with leaderboards and reviewer analytics.
u/SnooStrawberries827 · Reddit
my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back