📊 Daily pulse · Mon, 29 Jun 2026

LeetCode · Pulse

LeetCode is the world's most-used coding-interview practice platform, founded in 2015 by Winston Tang and a small Chinese-American engineering team, focused on providing comprehensive practice infrastructure for software-engineering technical-interview preparation. The platform has accumulated approximately 3,000+ algorithmic-problems across difficulty tiers (Easy, Medium, Hard) plus substantial company-specific problem-tagging (with substantial Google, Amazon, Meta, Microsoft, Apple, Netflix, plus broader major-tech-company interview-question collections), plus substantial system-design content, plus substantial discussion-forums-and-solution-explanations infrastructure.\n\nThe platform offers substantial free-tier access (with limited daily problem-attempts) plus paid LeetCode Premium subscription (~USD 35/month or ~USD 159/year) providing access to company-tagged problems, mock-interviews, video-explanations, plus broader Premium-tier content. The substantial post-2020 LeetCode growth driven by the substantial expansion of competitive-software-engineering-hiring-environment plus the substantial post-2021 tech-industry hiring-volatility plus the substantial post-2022 substantial layoff-cycle (substantial Meta, Google, Amazon, Microsoft, Salesforce layoffs through 2022-2024) drove substantial LeetCode-related interview-preparation activity. The substantial LeetCode Weekly Contests (the substantial Sunday-afternoon competitive-programming contests with substantial international participation) plus the LeetCode Biweekly Contests provide substantial competitive-programming infrastructure. The complementary platform Codeforces, the substantial post-2010 HackerRank, the substantial Educative.io system-design preparation, plus the broader 20+ coding-interview platform cluster provide complementary infrastructure.\n\nFor a globally-mobile professional with software-engineering interests, LeetCode provides substantive interview-preparation infrastructure. The substantial Indian-learner engagement is particularly substantial given the substantial Indian software-engineering-career and US-tech-job-application context.