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developerOS is a multi-product ecosystem designed to support software engineers throughout their career lifecycle, from certification practice to credentials tailoring and metrics tracking.
To replace disjointed and manual career prep loops with a cohesive, data-driven platform. We enable software engineers to demonstrate their skills through practice and mock exams, validate architectures automatically, and translate their real achievements into optimized credentials.
A single developer graph where your certifications, labs progress, and portfolio achievements are mapped together. This graph powers your credentials alignments, job discovery matching, and skill path suggestions.
We build tools that focus on practical application—labs, diagnostics, and code-sync portfolios—rather than rote interview checklists.
Your achievements, progress metrics, and credential optimizations exist in a shared personal database. No fragmented silos.
Every practice answer is scored instantly and comes with an explanation, so you learn why — not just what.
Cloud certification practice questions, timed mock exams, readiness results, and study planning.
A focused content product for deep engineering writeups, platform notes, launch essays, and recurring newsletter distribution.
Track tasks, goals, focus sessions, and GitHub repository activity in one developer workspace.
Build and manage resumes, compare content with job descriptions, and review ATS feedback.
Format, decode, generate and convert everyday developer inputs in your browser, without signing in.
Track job applications and interviews, prepare for interviews, and compare offers.
Open-source agent that applies to LinkedIn and Naukri jobs through your own Chrome, answers screening questions with Gemini, and drafts recruiter replies. Runs on your machine.
1-on-1 training in data engineering, data science, and generative AI. Bangalore weekends in person. Remote sessions available.
Planned product for exploring software engineering career paths and skill development.
developerOS was conceived by a team of platform engineers and technical educators who got tired of seeing candidates solve dry leetcode tests instead of building real cloud pipelines. We set out to design interactive validation engines that reflect real production workloads.