Speechyou
What this SaaS is
Records meetings and transcribes, summarizes, and translates audio into text.
- Meeting recording
- Audio transcription
- AI summaries and action items
- Translation to 15+ languages
- Team workspaces and collaboration
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
Numbers that matter
Tech stack
Marketing channels
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback at the stated margin, asking multiple vs the category median, and profit margin. The heaviest axis: what you pay for what it earns.
Revenue trend over the last ~90 days from our daily snapshots (30-day figure when history is short), capped so one spike can't dominate, minus a penalty for erratic revenue.
Paying customers, revenue scale and traffic (log scales), plus live-site health (reachable pricing page, core pages, maintained site).
AI-disruption risk, organic search presence, recurring B2B revenue; penalties for thin AI wrappers and no-code lock-in.
How turnkey the takeover is: diversity of marketing channels, Merchant-of-Record status, team.
Higher = safer. Business age, breadth of the customer base (concentration risk), recurring vs one-off revenue, known payment provider.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The market for AI transcription software is significant but not overwhelmingly large due to existing competitors.
- Saturationmature
Many players already exist in the transcription space, indicating a mature market.
- 3y trendgrowing
Demand for transcription services has been increasing as remote work and virtual meetings grow.
- AI disruptionvulnerable
The technology can be replicated by skilled developers, making it vulnerable to disruption.
- Hype cyclemainstream
AI transcription is widely adopted and accepted, placing it in the mainstream phase.
Run the numbers
Before you make an offer
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