LeakCode vs Glassdoor
Glassdoor is one of the most widely used sources of interview experience data. LeakCode aggregates Glassdoor interview reviews as one of its 7 sources, then adds 1Point3Acres, Blind, Reddit, GeeksforGeeks, and the 1p3a OJ catalog on top. This page explains what Glassdoor does well, where it falls short for structured interview prep, and how LeakCode builds on it.
What Glassdoor Offers for Interview Prep
Glassdoor hosts company reviews, salary data, CEO ratings, and interview experience reports from verified employees and candidates. The interview section is a genuine resource: candidates who went through an interview process can submit a review describing the rounds, questions asked, difficulty level, and outcome.
Glassdoor's interview data covers a very wide range of companies, including many that do not appear in more technical forums like Blind or 1p3a. For non-software roles (marketing, finance, operations), for traditional enterprises, and for companies outside the Bay Area startup ecosystem, Glassdoor often has the only structured interview intelligence available publicly.
The weakness is that Glassdoor data is scattered across thousands of unstructured text reviews without metadata tagging, deduplication, or cross-source confirmation.
The Limitations of Using Glassdoor Directly
- No structured search by round type. You cannot search Glassdoor for "all system design questions at Google" and get a deduplicated list. You get a list of interview reviews, many of which mention system design only in passing. Extracting the actual questions requires reading dozens of reviews.
- No role-level filtering. A search for "Google interviews" on Glassdoor returns reviews from SWEs, PMs, data scientists, and operations staff all mixed together. For a candidate targeting a specific SWE role, most of those reviews are not relevant.
- Review age is hard to filter. Glassdoor shows reviews going back years. For fast-moving companies, interview patterns from three years ago may not reflect current hiring. LeakCode's daily watermark-based scrape distinguishes recent reports from older ones.
- No cross-source signal. Glassdoor cannot tell you that the question you found in one review also appears in a 1p3a report and a Blind post. Cross-source confirmation is the strongest signal that a question is actively in rotation. LeakCode provides this across 7 sources.
- No 1p3a signal. Glassdoor does not have the FAANG and quant finance intelligence that lives in the 1Point3Acres Chinese-language premium forum. For candidates targeting Google, Meta, Two Sigma, Jane Street, or Citadel, the 1p3a signal is the most valuable source, and it is only accessible in English through LeakCode.
How LeakCode Processes Glassdoor Data
LeakCode aggregates Glassdoor interview reviews as one of 7 sources. The processing pipeline:
- Daily incremental collection. New Glassdoor reviews are fetched on a daily watermark schedule. Only content added since the last run enters the pipeline.
- Structured extraction. Company, role, round type, seniority level, and specific questions are extracted from review text. Questions are normalized and separated from surrounding narrative.
- Quality filtering. Reviews with very low information density (e.g. "the interview was hard") are filtered out before database entry. Only reviews with extractable question signal are indexed.
- Cross-source merging. Glassdoor entries are merged with 1p3a, Blind, Reddit, GFG, and the 1p3a OJ catalog. Questions that appear across multiple independent sources are ranked higher in LeakCode search results.
The result: Glassdoor's broad company coverage and behavioral question signal is made searchable and structured within LeakCode. See data sources for more detail on each source.
What Glassdoor Has That LeakCode Does Not Replicate
- Company culture reviews. Glassdoor's employer review section covers management quality, work-life balance, culture, and employee sentiment. LeakCode focuses exclusively on interview question intelligence.
- Salary and compensation data. Glassdoor has salary reports for millions of roles. LeakCode has no compensation data.
- Job postings. Glassdoor hosts active job listings. LeakCode is not a job board.
- Interview difficulty ratings. Glassdoor lets candidates rate interview difficulty on a scale. LeakCode does not surface difficulty ratings; it surfaces question content.
Side-by-Side Comparison
| Feature | LeakCode | Glassdoor |
|---|---|---|
| Searchable by company / role / round | Yes | Limited (text search) |
| Metadata tagging (role, round, seniority) | Yes | No |
| Cross-source deduplication | Yes (7 sources) | No |
| Glassdoor data included | Yes (aggregated) | Yes (original) |
| 1p3a signal (translated) | Yes | No |
| Blind signal | Yes | No |
| Company culture reviews | No | Yes |
| Salary data | No | Yes |
| Company coverage | 2,000+ (structured) | Broad (unstructured) |
| Total interview entries | 60,000+ (structured) | Millions (unstructured) |
| Paid tier | From $30/month | Free (with account) |
Where Each Tool Fits in a Prep Plan
Glassdoor is a free resource that belongs in any initial company research pass. Check Glassdoor to understand the general reputation of the team, manager quality, and interview difficulty level before deciding to pursue a role.
For actual interview question intelligence, Glassdoor is a starting point but not a complete solution. The unstructured format, lack of cross-source confirmation, and absence of 1p3a signal means that relying on Glassdoor alone leaves significant intelligence gaps.
LeakCode gives you Glassdoor's interview signal structured and searchable, combined with 1p3a, Blind, and four other sources. For candidates who want to know exactly what a company has been asking recently across all question types, LeakCode is the more efficient research tool. See how LeakCode works, data sources, and pricing.
Glassdoor's Recency Problem
Glassdoor's interview-question database has been accumulating reports since 2012. The volume is high (Amazon alone has 69,000+ entries) but the recency distribution is heavily skewed toward 2015-2020 reports. Questions tagged in the past 12 months are a relatively small fraction. For candidates preparing for an interview next month, this is the wrong distribution: companies rotate their question pools every 2-4 months, so 2019 questions are unlikely to appear in 2026 loops.
LeakCode's database is younger but the recency distribution is inverted: post-2023 reports are the majority. The aggregation pipeline weights freshness explicitly. When you sort by date on a LeakCode company page, the top results are weeks-to-months old, not years. This is the high-leverage data for candidates with imminent interview deadlines.
Metadata Quality Difference
Glassdoor reports are often missing the metadata that makes a report actionable: explicit round type, candidate seniority level, year the interview happened (vs year the post was written, which can differ by months), and difficulty tag. The platform's content was designed for general company reviews; the interview-question data is a side feature, not the primary product.
LeakCode tags each report with role type, round type, seniority, year, and source. The metadata is the product. Filtering by these dimensions lets you isolate "Stripe phone screens for backend SWE in 2025-2026" in two clicks; Glassdoor cannot match that filter precision because the underlying data lacks the tags.
Related: LeakCode vs Blind · LeakCode vs 1Point3Acres · Data Sources · Pricing