PracHub Review: Features, Real Interview Questions, Pricing and How It Works
Ask anyone who has been through a few tech interviews what surprised them, and many will say the same thing: the questions did not look like the ones they practiced. The difficulty was not always higher. It was different in flavor. A system design prompt tied to a real product, a SQL task with awkward edge cases, or a follow-up that kept changing the constraints.
That gap is why candidates go hunting for questions that resemble real interview experiences, often through forums, group chats and scattered notes. PracHub tries to put that hunt in one place. It is a technical interview preparation platform built around candidate-reported questions, organized by company and role, with solutions and practice tools attached.
This PracHub review explains what the platform offers, how it works, what it costs today, and who is likely to get value from it. We have not used PracHub ourselves. Everything below comes from its public pages, and where those pages disagree, we say so.
What Is PracHub?
PracHub calls itself a comprehensive technical interview preparation platform for software engineers, data scientists and other technical professionals. Its About page states the aim plainly: help people prepare for interviews at top technology companies using real questions, detailed solutions and a community.
The core of the product is a question bank. Each entry is tagged with a company, a role, a category and a difficulty level, and shows when a candidate last reported it. Around that bank sit a browser-based code editor, company interview guides, structured learning tracks and a Discord community.
So the focus is not “learn programming from scratch”. It is closer to “you have an interview coming up at a specific company; here is what candidates say they were asked, and how to think about it”.
How Does PracHub Work?
Everything starts with filtering. The homepage opens on a company selector and an optional role selector. Pick both, and you get a list of matching questions. You can also skip that and browse all questions, or browse by company, position or category.
Each question card shows a few useful details: the company, a difficulty label (Easy, Medium or Hard), the role the candidate interviewed for, and the month the question was reported. That last detail matters more than it seems. A question reported last month says more about current hiring than one from years ago.
Beyond individual questions, PracHub publishes interview guides that walk through a company’s process stage by stage and explain what each round is trying to evaluate. The homepage cites thousands of guides, while the university page cites 74, so that figure has clearly moved. There is also a separate interview experiences section, topic hubs, and dedicated sections for SQL and AI-assisted coding.
Practice happens in the browser. Coding questions use a built-in editor, and SQL questions run against a live SQL environment, so you can test an answer without leaving the site.
PracHub’s Real Interview Question Database
“Real” needs a careful definition. On PracHub it means reported by candidates. It does not mean supplied or endorsed by the companies, and PracHub does not claim otherwise.
The homepage describes two sources. Candidates submit questions right after their interviews. PracHub also collects interview reports from communities such as 1point3acres, Reddit and Glassdoor. Its FAQ adds that each report is verified, translated where needed, rewritten into a clear problem statement and published with a full solution.
The rewriting step is worth noticing. A memory of an interview is usually messy: half a problem, a vague constraint, a follow-up recalled from a nervous afternoon. A cleaned-up statement with a worked solution is easier to practice from, though it also means you are reading PracHub’s version, not a transcript.
On size, PracHub’s pages consistently say “10,000+” questions. The homepage body shows a precise number above 11,000 and close to 500 companies, while the homepage description and the university page say 450+ and 360+ companies. We use round numbers for that reason.
What Can You Practice on PracHub?
The categories below are the ones PracHub’s own pages support. Depth will vary by company and role.
Coding and Data Structures
The university page mentions more than 2,800 coding questions in Python, Java, C++ and JavaScript, with test cases and instant feedback. Sample entries lean practical, such as implementing an LRU cache that survives crashes or computing per-merchant fees from a CSV string.
SQL and Data
PracHub has a dedicated SQL section, and the university page cites 650+ SQL questions, most with an in-browser editor and auto-grading. That is relevant to analysts, data scientists and data engineers.
System Design
System design prompts include designing a real-time top-K ranking system, an ad frequency cap or a persistent in-memory cache. PracHub says solutions cover trade-offs and follow-ups, which is exactly where system design answers are usually won or lost.
Machine Learning
Examples on the homepage include explaining the KV cache in Transformer inference, improving a classifier trained on noisy labels, and designing a retrieval-augmented generation system.
Analytics and Experimentation
Data scientist entries include designing an A/B test with causal inference and evaluating a marketplace notification feature. These test statistical reasoning and product judgment more than code.
Behavioral and Leadership Interviews
Behavioral is a listed category, and the university page mentions STAR-framework variants for companies such as Meta and Amazon. We found no detail on a wider leadership curriculum, so we do not assume one.
PracHub Features
From the official pages, the main features are:
- Company and role filters for targeted preparation.
- Solutions and explanations that describe what the interviewer was testing, plus follow-ups.
- In-browser coding and SQL practice with no local setup.
- Company interview guides that break down each stage of a loop.
- Learning tracks, described on the site as end-to-end learning courses.
- AI Mentor, covered in its own section below.
- Community through on-site discussions and a Discord server.
- Progress tracking and saved questions, listed on the About page.
- AI-agent practice, with support promoted for tools such as Claude Code and Codex.
The About page also describes earning XP through community activity to unlock content. The newer homepage does not repeat this, so check whether it still applies.
PracHub for Software Engineering Interviews
Here is a workflow a software engineer could follow. It is our suggestion, not an official PracHub method.
- Choose a target company. One or two is enough.
- Select the role. A backend role and an infrastructure role ask different things.
- Identify the topics. Read the company guide to see which rounds test coding, design and behavior.
- Practice reported questions. Start with recent ones and attempt them before opening the solution.
- Review solutions. Compare approaches and note what the interviewer was actually evaluating.
- Practice follow-ups. Change the constraints yourself: more data, concurrency, failures.
- Simulate interview conditions. Use a timer, explain aloud, and try the AI Mentor for a mock conversation.
Suppose you have three weeks before an onsite. You might spend the first week on weak fundamentals elsewhere, then use PracHub to test yourself on company-style questions and to see whether your explanations hold up under follow-ups.
PracHub for Data Science and Machine Learning Interviews
Data and ML loops are broad. One process may include SQL, statistics, experiment design, modeling theory and a product discussion. PracHub’s role tags, such as Data Scientist or ML Engineer, help narrow the field.
Useful material includes SQL questions with an in-browser editor, experimentation questions on A/B testing and causal inference, and modeling questions on topics like logistic regression, backpropagation, the Adam optimizer, LLM inference and RAG systems. ML system design prompts follow the same style as software system design ones.
A reasonable split: use SQL and experimentation questions for mechanical practice, then use modeling questions to rehearse explaining ideas out loud. Interviewers usually care about reasoning as much as the final answer.
PracHub’s AI Interview Preparation
PracHub lists an AI Mentor among its plan features, at 50 sessions a day on the homepage. The university page describes AI mock interviews with feedback on communication and accuracy, and the site promotes practice with AI coding agents.
Sensibly used, this gives you a low-pressure way to talk through an answer, hear where your explanation gets unclear, or rehearse a solution. It cannot replace feedback from an experienced engineer, and it cannot tell you how a specific interviewer will judge you. PracHub’s pages say little about how the Mentor works internally, so we suggest testing it on a familiar problem before depending on it.
PracHub Pricing and Plans
The homepage currently lists three subscription options in US dollars.
| Plan | Price shown | Billing |
|---|---|---|
| Monthly | $27.99 per month | Billed monthly |
| Quarterly | $26.66 per month equivalent | $79.99 every 3 months |
| Yearly | $10.00 per month equivalent | $119.99 per year |
PracHub explains that the per-month figures for longer plans are the total divided by the number of months, and that the amount actually charged is the total. It also says payments go through Stripe and subscriptions can be cancelled anytime. We found no regional pricing on the pages we reviewed.
Prices and plan limits can change, so confirm them on the official site. Price alone is a weak basis for choosing. A short plan can suit an interview that is close; a longer one only pays off if you will keep using it.
PracHub for University Students
PracHub has a page for universities aimed at career services teams. It offers two formats: a resource listing on the school’s career hub, and a co-branded 45-minute virtual workshop covering coding, SQL, system design and behavioral topics.
The page says there is no fee for the workshop or the listing, and that student access is arranged per partnership, including its length and scope. It also says it asks students only for a name, an email and an optional role target, with no academic records and no sharing with recruiters unless a student opts in.
Students at schools without a partnership can start with the free tier. Career staff who are interested should contact PracHub directly, since terms are agreed case by case.
PracHub vs Traditional Coding Practice Platforms
General coding platforms usually center on a large library of algorithm problems sorted by topic and difficulty. They are good for building and testing fundamentals. PracHub positions itself differently. Its own FAQ says problems on general platforms are largely synthetic, while PracHub surfaces questions reported in recent interviews at specific companies, with notes on follow-ups.
That is PracHub’s characterization, and the two approaches can be complementary. Someone might build core skills on a general platform, then use PracHub to see how those skills show up at a particular employer. PracHub also spans SQL, system design, ML and behavioral questions, while many coding platforms concentrate on programming. We do not rank platforms, because the right one depends on your goals, budget and timeline. PracHub publishes its own comparison page, which is naturally written from its own point of view.
Advantages and Things to Consider
Advantages
- Company, role, category and round filters support targeted preparation.
- Coverage goes beyond coding to SQL, system design, ML, analytics and behavioral topics.
- Questions show when they were last reported.
- A free tier covers most questions, with in-browser practice.
- Guides and learning tracks add structure.
Things to consider
- Questions are candidate-reported and rewritten by PracHub. They are not official employer material.
- Coverage varies by company, so smaller employers may have few entries.
- The site’s own pages differ on some figures and premium details, so verify current limits.
- If you still need basic fundamentals, you may want to build those first.
- Whether premium is worth it depends on how much you would use solutions, the coding console and the AI Mentor.
Who Should Use PracHub?
PracHub may suit candidates who already know their target companies, such as engineers with a loop scheduled, and data scientists or ML engineers who want SQL, experimentation and modeling practice in one place. New graduates may find the free tier and university programs useful. Candidates who prefer to study one topic at a time, with no company focus, may find a general platform closer to what they need.
Frequently Asked Questions
What is PracHub?
PracHub is a technical interview preparation platform built around questions that candidates report after real interviews. Questions are organized by company, role, category and difficulty, and come with solutions, an in-browser coding console, learning tracks, company guides and an AI Mentor.
Is PracHub free?
Partly. PracHub says most questions are free to browse and practice, and that community discussions and the in-browser coding console are free too. Premium unlocks full solution walkthroughs on locked questions, model solutions in the coding console and AI Mentor sessions.
How much does PracHub cost?
At the time of writing, PracHub’s homepage lists $27.99 per month, $79.99 billed every three months, or $119.99 billed yearly, all in US dollars. Prices, discounts and limits can change, so confirm them on the official site before you subscribe.
What type of interview questions does PracHub have?
PracHub covers coding, SQL, system design, machine learning, analytics and behavioral questions. Each one is tagged by company, role and difficulty, and shows when a candidate last reported it. The questions are candidate-reported, not officially supplied by employers, so treat them as practice signals.
Does PracHub have coding questions?
Yes. PracHub’s university page mentions more than 2,800 coding questions with an in-browser environment that supports Python, Java, C++ and JavaScript, plus test cases and instant feedback. These counts change over time, so treat the figures as approximate rather than fixed.
Does PracHub have system design questions?
Yes. System design is a listed category, with example questions such as designing a real-time top-K ranking system or an in-memory cache. Solutions are described as explaining trade-offs and follow-ups, though the depth of each answer will vary from question to question.
Does PracHub support machine learning interview preparation?
Yes. The site includes machine learning questions on topics such as LLM inference, noisy labels and retrieval-augmented generation, alongside data science, SQL and experimentation questions. Coverage depends on the company and role, so use the filters to see what exists for your target.
Does PracHub have AI interview practice?
PracHub lists an AI Mentor at 50 sessions a day, and its university page describes AI mock interviews with feedback on communication and accuracy. It also promotes practicing with AI coding agents. Details of how the Mentor behaves are limited, so try it on a sample question first.
Is PracHub suitable for college students?
It can be. Students preparing for internships or new-graduate roles can start with the free tier, and PracHub runs a university partnership program where student access is arranged with each school’s career services. Terms are agreed per partnership, so ask your career office.
Final Thoughts
PracHub takes a clear approach to technical interview preparation: gather candidate-reported questions, organize them by company and role, and add solutions, practice tools and guides on top. For someone with a defined target, that structure may save time otherwise spent piecing together forum threads.
It does not replace fundamentals, and reported questions carry the limits of secondhand information. The platform’s own pages also disagree on a few numbers, which is a good reason to check details yourself. If the free tier gives you a feel for the format, you can then decide whether premium fits your timeline. The PracHub homepage is the place to start.
