| Target user | "Anyone learning English, Hindi or Bengali" | The recommended wedge narrows this to Hindi- and Bengali-medium learners heading into work, learning English. It roughly doubles the odds at $1k–5k. |
| Target languages | English, Hindi and Bengali all implied as languages to learn | English as the target language, with Hindi and Bengali as the explanation languages, is assumed. Launching all three as target languages cuts the odds by about half (see "As described" in 01). |
| Time available | Two cases: ~15 hours a week, and full-time | Both are shown in the ladder in 01. Below ~8 hours a week, the content routine can't be sustained. In that case, use the lower column and multiply by about 0.6. |
| Pricing | None stated | See 07. Blended ARPU is assumed at about $2.50 a month per payer: a ₹199/mo and ₹1,199/yr mix plus some ₹399 Pro, at ₹88 = $1. |
| Churn | About 12% a month for payers | 8–10% (if the speaking score works) makes $5k far more reachable. At 18%+, the outcome is capped near $1–2k. |
| Voice cost | About ₹0.5–1 per voice minute using a "scripted spine, live edges" design | If you use a premium real-time model instead (~₹18–40 a minute), daily users become loss-making on the ₹199 plan. |
| Geography | India first. Bangladesh and heritage learners only by demand. | A US or UK launch brings voice-biometric and companion-chatbot law forward, with a much more expensive ad market. |
| Stage | Idea: no code, users or revenue | Live data outweighs this analysis. |
| Team | A technical builder, with no stated English-teaching background | A spoken-English trainer as advisor is condition #1. |
| Budget | Bootstrapped. No paid acquisition before month 6. | With a ₹2–4 lakh/month ad budget, the $5k+ rungs rise a few points, and so does the risk of losing that budget. |
| Market facts | As researched on 29 Sept 2026 | See research/10 for confidence levels. |