FastPrep
FastPrep is an interview prep and job search workspace for technical candidates in an active hiring cycle. It pairs a company-tagged bank of 7,874 practice problems across 548 companies with an in-browser coding workspace, AI Apply for submitting job applications, AI lessons on interview fundamentals, hiring insights, and an application tracker that keeps deadlines and interview stages on one timeline.
What is FastPrep?
FastPrep is an interview preparation and job search workspace built for technical candidates, operated by FastPrep LLC. Its centerpiece is a catalog of 7,874 practice problems drawn from 548 companies, including Amazon with 815 problems, Google with 593, Microsoft with 290, Meta with 154, Apple with 126, OpenAI with 106, Anthropic with 44, plus Bloomberg LP, Stripe, and TikTok. Every question is tagged by company and practice format, so candidates drill the coding, system design, low-level design, and SQL work a specific employer actually asks instead of a generic topic shuffle. The catalog currently lists 6,747 coding problems, 636 system design questions, 197 low-level design questions, and 124 SQL and data problems, and it is refreshed as new questions are reported.
Practice happens inside a browser workspace that puts the prompt, starter code, and test cases side by side, so candidates can open a problem, write a solution in the editor, and run the tests without leaving the page. Free accounts include six code submissions. Pro removes that ceiling and unlocks full editorials, hints, advanced tests, custom test cases, and repeated runs, while problems reported in the last seven days stay Pro-only. Test results and repeat runs stay with the attempt, so a second pass on the same question shows progress instead of a blank slate.
Beyond drilling questions, FastPrep bundles the surrounding job search. The application tracker records companies, roles, statuses, deadlines, online assessments, interviews, and offers on one timeline, with optional Gmail sync so recruiter email updates statuses automatically; manual entry works without connecting an inbox. Public hiring insight pages cover roughly 200 companies and show application and interview momentum, so candidates can decide where to spend effort. AI Apply costs one credit per application, drafts answers, and watches the connected inbox for employer confirmation, while AI lessons cost ten credits each and twelve starter lessons are free. Open role counts and compensation ranges sit behind login, and the tracker keeps follow-ups visible so nothing goes stale. The project also maintains a public GitHub repository of reported interview questions with roughly 5,900 stars.
Credits reset monthly and do not roll over. Extra credits cost six dollars for twenty or twenty-five dollars for one hundred and never expire. Free costs nothing, Pro is nineteen dollars monthly or ninety-nine dollars yearly, equal to 8.25 dollars monthly, and Max is forty-nine dollars monthly or three hundred ninety-nine dollars yearly for six times the Pro credit allowance. Yearly plans carry a thirty-day money-back guarantee unless more than half the plan credits are used, while monthly plans carry a seven-day window.
FastPrep Core Features
Company-tagged problem bank
7,874 practice problems across 548 companies, each tied to a company and interview stage so practice follows a target list.
Browser coding workspace
Prompt, Python starter code, and test cases sit side by side, with a run button, custom tests, and repeat runs.
Guided design practice
636 system design and 197 low-level design questions cover rate limiters, schedulers, and object-oriented builds with solution walkthroughs.
AI Apply
One credit per application, with drafted answers to screening questions and inbox monitoring for employer confirmation.
AI lessons
Ten credits per structured lesson, with twelve free starter lessons covering the fundamentals before you spend anything.
Application tracker
Companies, roles, statuses, deadlines, online assessments, interviews, and offers on one timeline, with optional Gmail sync.
Hiring insights
Public pages for roughly 200 companies showing application volume, assessment activity, and interview momentum.
Credit packs
Twenty credits for six dollars or one hundred for twenty-five, with purchased credits that never expire.
Who is FastPrep for?
FastPrep is built for people who are actively in a technical hiring pipeline, not for casual learners. It suits software engineering candidates preparing for online assessments, phone screens, and onsite loops at large tech companies, especially those targeting Amazon, Google, Microsoft, Meta, OpenAI, or Anthropic and wanting company-scoped practice instead of random LeetCode-style grinding. It also fits experienced engineers returning to interview mode who need system design and low-level design reps, backend and infrastructure engineers facing object-oriented design rounds, data and SQL-heavy candidates practicing tabular questions, and early-career developers or bootcamp graduates who want a structured weekly loop rather than a folder of bookmarks. Candidates applying broadly benefit from the application tracker and hiring insights, because the volume of companies, deadlines, and assessment invitations becomes hard to manage in a spreadsheet. Career switchers and new grads on tight budgets can stay on the free tier for catalog access and six submissions, while heavy users of AI Apply or AI lessons, such as people running dozens of applications at once, get more value from Pro or Max. Engineers juggling a full-time job alongside interviews use it because preparation, applications, and follow-ups sit in one place, so a thirty-minute session still moves the search forward. The free tier is deliberately usable, which makes this a low-risk first stop for candidates still deciding which companies to target. University career centers point students toward the public catalog, but the product is built for individual candidates rather than enterprise recruiting teams, and it exposes no API for programmatic access. It is a working tool for the search itself, so it is less useful for engineers who are not job hunting or who only want a pure algorithm course.
FastPrep Use Cases
Drill the coding questions a specific company is reported to ask before an onsite loop.
Practice system design and low-level design rounds with structured prompts and reference solutions.
Track every application, assessment deadline, and interview stage on one timeline instead of a spreadsheet.
Submit job applications faster by letting AI Apply draft answers and file the form.
Compare hiring momentum across companies to decide where to send applications next.
Work through AI lessons to build fundamentals before tackling harder company-specific problems.
Prepare for SQL and tabular interview rounds with a dedicated data question set.
Replace scattered bookmarks with one weekly practice and application review routine.
FastPrep Pros and Cons
Pros
- Company-scoped catalog is unusually deep and clearly labeled by interview format and stage.
- Free tier includes catalog access, application tracking, and six code submissions with no card.
- Credits and credit packs are transparent, and purchased credits never expire.
- Tracker, hiring insights, and practice live in the same product, which shortens the weekly loop.
Cons
- Questions are reported by candidates, so coverage is a guide rather than a guarantee of what a company asks.
- AI Apply and AI lessons consume credits, so heavy use pushes users toward the Max tier.
- Practice quality depends on community reports, and the newest seven days of problems are locked behind Pro.
FAQ About FastPrep
FastPrep Pricing
Free tier at $0 with 10 credits a month, catalog access, application tracking, and 6 code submissions. Pro is $19/month or $99/year ($8.25/month); Max is $49/month or $399/year ($33.25/month) with 6x Pro credits. Credit packs: 20 credits for $6, 100 for $25.
Check official pricingFree
10 credits a month, access to the 7,874-problem catalog and AI job tracker, and up to 6 code submissions. No card needed.
Pro (monthly)
100 credits a month, unlimited code submissions, custom test cases and repeated runs, full editorials, hints, and advanced tests. 7-day refund window.
Pro (yearly)
$99 billed yearly, equivalent to $8.25/month. Same Pro features with a 30-day money-back guarantee unless over half the plan credits are used.
Max (monthly)
Everything in Pro plus 600 credits a month, six times the Pro allowance, for heavy AI Apply and AI lesson use. 7-day refund window.
Max (yearly)
$399 billed yearly, equivalent to $33.25/month. 600 credits a month and all Pro features, with a 30-day money-back guarantee unless over half the credits are used.
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