InsectGPT
⭐MRRdeals Score · 57/100Identify insects and bug bites instantly using AI-powered accuracy.
What this SaaS is
Identify insects and bug bites instantly using AI-powered accuracy.
- AI-powered insect identification
- Instant bug bite recognition
- Mobile app for iPhone
- No active customers— Zero customers reported. Hard to model retention or growth.
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
- Single acquisition channel— All customers come from one acquisition channel. Pull the plug and revenue dies.
Numbers that matter
Founders
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback period, asking price vs category median multiple, and 30-day profit margin.
30-day MRR delta, with a small bonus when historical snapshots confirm a sustained climb.
Revenue per visitor, customer count, plus live-site UX signals (pricing reachability, core pages, copyright freshness).
AI-disruption risk, presence on review platforms (G2, ProductHunt, AppSumo…), penalty when built on no-code rails.
Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.
Listing freshness, payment provider trust, business age, customer concentration. Higher score = less risky.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The market for insect identification apps is moderately sized with potential for growth.
- Saturationgrowing
There are several existing apps, but the market is not yet fully saturated.
- 3y trendgrowing
Interest in AI-powered solutions for everyday problems is increasing, indicating growth.
- AI disruptionvulnerable
The concept can be replicated easily by developers, posing a risk of disruption.
- Hype cycleearly
AI applications in consumer markets are still emerging, placing this in the early stage.
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