Intervu vs DATAKU

Intervu is your ultimate platform to perfect system design interview skills. With Intervu, candidates can engage in infinite interview simulations that closely mimic real-life scenarios. Each session is packed with comprehensive feedback to help users tackle system design challenges more effectively. Users can sign up and join over a thousand others who trust Intervu for their interview preparations.

The platform offers a realistic interview atmosphere, where users can choose their interviewers based on focus areas or target companies. Intervu also allows candidates to practice top system design problems and the most frequently asked questions in a real interview style. There's even an option to read influential technical papers, like Google's Bigtable, and test your understanding with an interview simulation. For those looking to delve into engineering insights, Intervu combines reading the top engineering blogs with subsequent interviews to solidify your knowledge.

A unique feature is the integrated whiteboard, where users can draw architecture diagrams during their interview simulations. The AI-driven platform, trained on millions of interview data points, offers a deep, high-quality experience. Progress tracking is easy with the leaderboard, and detailed feedback from the AI will ensure mistakes aren't repeated.

Witness testimonials from users like Amit Chabbra of Ex-Uber, Vineet Kumar from Meta (formerly Google), and Paritosh from Amazon, who share how Intervu has significantly improved their system design proficiency, offering an experience close to real interviews and providing precise feedback.

Take the first step towards acing your system design interviews by practicing with Intervu today!

DATAKU is a data science site that tracks AI benchmarks, API pricing, and model releases, then packages the numbers into free calculators and downloadable datasets. The homepage archives articles on inference costs, funding rounds, and head-to-head model comparisons, while the Tools section hosts eight utilities such as an LLM cost calculator, benchmark decoder, and model graveyard.

Most AI news sites summarize press releases. DATAKU cross-references provider docs, leaderboard scores, and its own pricing tables, which is why the downloadable datasets page lists 48-row pricing histories and 62-row benchmark score tables under CC BY 4.0 licenses.

Data analysts, ML engineers, and buyers use DATAKU when they need cost-per-token math, benchmark context, or CSV exports instead of marketing claims. The About page describes the project as benchmark and pricing tracking run by a former Tokyo data analyst.