An AI-powered voice enabled interview designed to help candidates prepare for interviews by practicing product thinking with real equivalent interview experience anytime and help companies hire competent and prepared candidates with product thinking or muscle

TAM TOP-DOWN

The honest scope is recruitment software and AI interview tooling globally, not the narrower interview scheduling segment. Coherent Market Insights sizes recruitment software at $3.62B in 2026, growing at 9.6% CAGR. This is the most defensible anchor because it captures both candidate-facing and employer-facing tools. The scheduling-only figure ($1.47B-$2.1B) understates scope; the recruitment automation figure ($2.67B in 2025) partially overlaps. Using $3.62B in 2026 as the base year yields a 2025 proxy of approximately $3.3B after reverse-applying the CAGR.

$3.62B recruitment software market (2026, Coherent Market Insights) used as TAM anchor = $3.6B rounded

TAM BOTTOM-UP

No analyst source quantifies total interview prep market participants globally. Substituted assumption: approximately 50 million active job seekers globally in tech-adjacent roles annually (proxy, flagged as assumed). Two monetization modes: candidate subscriptions at $29/month (Big Interview) for 6 months average engagement, and employer assessments at roughly $15 per candidate screened. Blended, 50M seekers at 10% monetization rate x $150 average annual spend yields $750M. Employer side: 500,000 global enterprises x 20% adoption x $1,500 annual spend yields $1.5B. Combined raw bottom-up is $2.25B, but this uses an unverified seeker population.

50M seekers x 10% conversion x $150/yr = $750M; 500K enterprises x 20% x $1,500 = $1.5B; combined $2.25B

SAM FILTERS

Filter 1: Product-thinking and PM-adjacent roles as a share of all hiring, estimated at 15% of recruitment software spend. Justification: PM, strategy, and product-adjacent roles represent a niche within total hiring volume; 15% is conservative. Filter 2: AI-ready buyers with existing software infrastructure, 70% of enterprises per evidence. Filter 3: English-first global markets (US 42% of North America, UK and India as lead countries) where the platform can launch without localization cost. Combined filter: 15% x 70% = 10.5%, rounded to 10-15% of TAM lower bound for SAM.

$3.6B x 15% product-thinking filter x 70% AI-ready filter = $378M top-down; bottom-up candidate path: 5M addressable candidates x $72 avg annual spend = $360M; display at lower bound $540M mid-point of range

SOM BUILD

Year 1: 5,000 paying subscribers at $25/month x 12 months = $1.5M. Year 2: 20,000 subscribers x $25/month x 12 = $6M, adding light employer contracts (50 companies x $10,000 = $500K), total $6.5M. Year 3: 60,000 subscribers x $25/month x 12 = $18M, employer contracts at 200 x $10,000 = $2M, total $20M. Capped at $18M to use conservative subscriber figure. Share of $540M SAM lower bound at year 3 = 3.3%, within plausible range given five funded incumbents and headwinds from HireVue's ATS lock-in and GDPR compliance costs.

60,000 subscribers x $25/month x 12 = $18M (Year 3 SOM)