ai nutrition and meal tracking
Recent window: last 5.2 months (2026-04-24 → 2026-09-28), compared with the prior 5.2 months.
These products use multimodal AI and photo recognition to automate food journaling, calorie counting, and macro tracking. They target health-conscious consumers, dieters, and individuals managing conditions like diabetes who want real-time nutritional feedback. Unlike broader fitness or wellness platforms, this cluster focuses specifically on dietary intake logging and conversational nutrition coaching.
Metrics
- Stage
- forming
- Recent count
- 119
- Prior count
- 5
- Total count
- 137
- Momentum
- 300.00
- Attention
- 0.31
- Crowding
- 0.60
- Concentration
- 0.82
- Opportunity
- 0.47
Opportunity components
- Attention
- 0.31
- Low crowding
- 0.40
- Momentum (normalized)
- 1.00
- Low concentration
- 0.18
Monthly trajectory
Source split
- github
- 4 (0.03)
- hn
- 6 (0.05)
- ph
- 107 (0.90)
- yc
- 2 (0.02)
Dominant source: ph · Divergence: 0.88
Similar themes
- wearable tech and computer vision (0.57)
- meal planning and food discovery (0.53)
- fitness tracking and training apps (0.50)
- AI-powered clinical care delivery (0.50)
- personal health and wellness trackers (0.44)
- personal and family tracking tools (0.43)
- health tracking and medical tools (0.37)
- habit and daily routine trackers (0.35)