Candidates are blindsided by unexpected interview structures — seven-person panels, multi-stage technical tests, written exams — with no advance warning despite being told it would be a simple interview
Glassdoor-style platform focused specifically on interview format transparency: exact number of interviewers, types of tests given, time limits, and sample questions reported by past candidates, filtered by company and role
Freemium — free basic reports, $9.99/month for full detail access including sample test content and interviewer tips
The pain is real but episodic — it only hits when someone has an interview, and most people interview a few times per year at most. The Reddit post shows genuine emotional distress (intimidation, nervousness), but this is a 'nice to know' rather than a 'must have' for many candidates. The pain is acute in the moment but people have been tolerating this uncertainty for decades. Finance/accounting niche intensifies it because those fields have more formal/structured surprise formats than tech.
~160M employed Americans, ~40% job search in any given year = ~65M potential users. Narrowing to professional roles who would pay for interview intel: maybe 15-20M. At $9.99/month with 1-3 month usage cycles, TAM is meaningful but the addressable market of paying users is smaller than it looks because usage is transactional, not ongoing. The finance/accounting beachhead is smart — ~2M accountants in the US alone — but it is a wedge, not the whole market.
This is the weak link. Glassdoor has trained people to expect interview info for free. Job seekers are often cost-conscious (especially if between jobs). $9.99/month is reasonable but conversion will be tough when free alternatives exist with 'good enough' data. The value prop needs to be dramatically better than free options to convert. Coaching and courses command higher prices because they are perceived as skill-building, not just information. Information products face a 'why pay when I can Google it' barrier.
This is a CRUD app with structured forms, search/filter, and a paywall. No AI required for MVP. Standard web stack — database of structured interview reports, user auth, company/role taxonomy, Stripe for payments. A competent solo dev can absolutely build an MVP in 4-6 weeks. The hard part is not the tech, it is the data.
The gap is genuine — no one is doing STRUCTURED interview format reporting (panel size, test types, time limits, surprise elements). Glassdoor and Indeed have unstructured blobs. But the gap exists partly because incumbents may have tested it and found low engagement, or because it is a feature not a product. Glassdoor could add structured format fields tomorrow. The moat question is real: can you build a data network effect before an incumbent copies the feature?
This is the biggest red flag. Job seekers subscribe during their search (1-3 months) then churn hard. There is no reason to pay $9.99/month once you land a job. This is fundamentally a transactional product with subscription pricing — expect 80-90% monthly churn from converted users. Compare to Glassdoor which stays relevant via salary data and company reviews even after hiring. You would need to add retention hooks (career growth content, salary negotiation, ongoing industry intel) to keep subscribers.
- +Clear, underserved gap — no platform does structured interview FORMAT reporting
- +Technically trivial to build, allowing focus on growth and data acquisition
- +Strong emotional trigger (anxiety, feeling blindsided) drives sharing and word-of-mouth
- +Finance/accounting is a smart niche beachhead with specific pain (formal tests, panels) and underserved by tech-focused competitors
- +Content is inherently user-generated, so marginal cost of new data approaches zero at scale
- !Cold start problem is severe — the product is worthless without data, and users won't contribute without existing data. Chicken-and-egg.
- !Glassdoor could add structured interview format fields as a feature update and crush you overnight with their existing data moat
- !High churn due to transactional nature of job searching — most users need this for 1-3 months max
- !Willingness to pay is unproven — free alternatives set expectations that interview info should be free
- !Data quality and gaming risk — companies or recruiters could submit fake positive reports, candidates could submit inaccurate frustrated rants
Broad employer review platform with an interview section where users report questions asked, difficulty, and outcome. Covers salary, culture, and benefits alongside interviews.
Anonymous professional network where employees discuss compensation, interviews, and company culture. Primarily used by tech workers at large companies.
Coding practice platform with a community section where users share interview experiences, primarily for software engineering roles.
Job board with an interview section where candidates report interview questions and experiences for specific companies and roles.
Compensation-focused platforms that have expanded into interview experiences. Levels.fyi includes an interview tracker with offer details and process timelines.
Seed the database manually: scrape Reddit, Glassdoor, and Blind for interview format details for the top 50 accounting/finance employers. Build a simple structured submission form (company, role, date, number of interviewers, test types, surprises, tips) and a search/filter interface. Gate detailed reports (exact questions, interviewer tips) behind a paywall. Launch with a 'contribute to unlock' model — submit your own interview experience to get free access to 3 detailed reports. Focus on one niche (accounting/finance) and one geography (US) to make the data density useful.
Free basic info (company has panels, uses written tests) -> $9.99/month for full details (sample questions, time limits, interviewer names/styles, tips) -> B2B play: sell anonymized interview process benchmarking data to HR departments and recruiting firms who want to know how their process compares to competitors -> Premium tier at $29/month with 1:1 interview coaching marketplace -> Affiliate revenue from interview prep courses and coaching services
8-12 weeks to MVP and first paying users, but meaningful revenue ($1K+ MRR) likely 4-6 months out due to the cold start problem and need to build data density in at least one niche before the product delivers enough value to convert free users to paid
- “surprised to see seven interviewers sitting there although actual team is only 4”
- “I felt intimidated and became nervous”
- “I was told prior to the interview that there was some multiple choice skills test — then they bring me a written exam”