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Levelop is an AI-powered interview preparation platform designed for software engineers aiming for roles at companies like Google, Amazon, and Meta. It combines coding and system design practice into a structured, guided experience with real-time feedback and progress tracking.
Built for the Indian market, Levelop offers pricing in INR and includes a free first sprint with no payment required.
The Problem
Most interview prep today is unstructured: Random problem solving with no clear progression Limited feedback beyond “wrong answer” No visibility into actual weak areas System design learning that lacks depth and practice
This often leads to inconsistent progress and repeated mistakes.
How Levelop Solves It
AI-Powered Mentorship Aurora (System Design Mentor) Guides users through concepts, architecture decisions, and interactive learning before allowing hands-on design. Orion (Coding Mentor) Activates when a user submits incorrect code. Diagnoses gaps in understanding and guides users through targeted exercises until the concept is clear.
Failure-Driven Learning Instead of passive hints, Levelop uses incorrect attempts as signals to trigger structured learning flows, ensuring users fix root causes rather than memorizing solutions.
Integrated Learning Flow Coding and system design are combined into a single workflow Users move through guided sprints instead of random problem selection
Progress Tracking Sprint-based structure with clear visibility into progress Identifies strengths, weaknesses, and areas for improvement
Ideal for: Software engineers (0–5 years experience) Candidates preparing for technical interviews at top product companies Developers looking for structured, feedback-driven learning
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We’ve been using TestGorilla as part of our hiring process to screen applicants before bringing them into interviews, and it’s proven quite useful. The idea is simple but helpful: instead of spending hours reviewing resumes, you give candidates a relevant test right away. Seeing how people perform on real job-related tasks gives us a much clearer picture early on.
The test library is broad, covering everything from coding challenges and software proficiency to logical thinking and communication skills. Setting up and sending tests doesn’t take long, and the results are laid out in a clear way that makes comparison between applicants straightforward.
Where it falls a bit short is in the depth of some tests — a few feel like they’re too surface-level to really separate top performers from average ones. Creating your own custom assessments is possible, but the interface for doing that could use refinement. Also, once you scale up hiring, costs add up — especially if every team needs access.
Overall, TestGorilla adds real value to the recruiting process by helping weed out unfit candidates early and giving objective data on skills — which is why I give it 4 out of 5 stars.
Based on our record, Levelop.dev should be more popular than TestGorilla. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
What I had in mind was using either SHL-style aptitude tests, or third party assessments like testgorilla.com rather than a take-home exercise that I'd be moderating. I also remembered doing an online knowledge test of various web technologies when I used to be a web-dev - which could be useful for assessing Unity/C# knowledge. Source: almost 4 years ago
If you are ready to stop dropping buzzwords and start mastering the real-world mechanics of system design, let’s build together at Levelop.dev. - Source: dev.to / 4 months ago
I'm building Levelop to help people get better at problems like these. If you want more breakdowns like this, check it out. - Source: dev.to / 4 months ago
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