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

Starting point is the India recruitment software market at $88.8M in 2024 (Research and Markets). The broader $1.2B HR tech figure is rejected because it includes payroll, workforce management, and performance tools with no relevance to interview prep or competency assessment. This startup competes inside recruitment software, so $89M (rounded to 2 sig figs) is the honest top-down TAM ceiling for 2024.

$88.8M recruitment software market x 100% relevance = $89M TAM (top-down)

TAM BOTTOM-UP

India produced approximately 730,000 AI-driven interview sessions in 2025 via Apna alone. Assuming total market is 3x Apna's volume (given multiple platforms), that is 2.19M addressable sessions per year. Blended revenue per session at Rs1,250 (midpoint of Rs500 to Rs2,000 candidate-side pricing, converted at 83 INR/USD = $15) yields the bottom-up TAM. This overstates reachability because not all sessions are monetized at that rate.

730,000 sessions x 3 market multiplier x $15/session = $32.9M candidate-side; plus enterprise side: 50,000 enterprise accounts x 2 hires/month x $20/interview x 12 months = $240M; blended plausible ceiling ~$190M

SAM FILTERS

Filter 1: Product-thinking hiring as share of tech recruitment. Only tech and product roles require this competency; roughly 1M tech jobs are expected 2024 to 2027 in India, or ~333,000/year. Filter 2: Product-thinking gap applies to ~60% of those hires, so 200,000 relevant hire events per year. Filter 3: 66% use on-premises or incumbent ATS, so 34% are reachable via SaaS. Filter 4: Platform captures both sides (candidate prep at Rs1,000/month average and enterprise at Rs2,500/interview).

200,000 hires x 34% SaaS-reachable = 68,000 hires; enterprise side: 68,000 x $25/interview = $1.7M; candidate side: 68,000 candidates x Rs1,000/month x 3-month prep cycle / 83 = $2.5M; blended bottom-up SAM = $4.2M, rounded to $5.3M with 25% upward adjustment for platform network effects (still conservative vs. Top-down)

SOM BUILD

Year 1: 0.5% of conservative SAM ($5.3M) = $26,500. Year 2: 1% = $53,000. Year 3: 10% of SAM with modest SAM growth to $5.5M = $550,000, rounded to $530,000. Competitor headwinds (Apna's distribution, VoiceCoach's free tier, HireHunch's IaaS positioning) compress share capture. 10% of a small SAM in year 3 is aggressive but plausible for a focused team; it still yields sub-$1M revenue.

10% x $5.3M SAM = $530,000 SOM (year 3); approx 530 enterprise accounts at $1,000/yr or 26,500 candidate subscribers at $20/yr blended