AI tools for scientific research
Recent window: last 5.2 months (2026-04-24 → 2026-09-28), compared with the prior 5.2 months.
These products provide specialized software and AI assistants tailored for scientific discovery, technical data processing, and laboratory research workflows. They are used by scientists, academic researchers, and domain engineers working in fields such as drug development, spectroscopy, and seismic analysis. The cluster is distinguished by its focus on deep scientific problem-solving and domain-specific datasets rather than general business intelligence.
Metrics
- Stage
- heating
- Recent count
- 24
- Prior count
- 5
- Total count
- 38
- Momentum
- 300.00
- Attention
- 0.33
- Crowding
- 0.03
- Concentration
- 0.82
- Opportunity
- 0.62
Opportunity components
- Attention
- 0.33
- Low crowding
- 0.97
- Momentum (normalized)
- 1.00
- Low concentration
- 0.18
Monthly trajectory
Source split
- github
- 6 (0.25)
- hn
- 0 (0.00)
- ph
- 17 (0.71)
- yc
- 1 (0.04)
Dominant source: ph · Divergence: 0.71
Similar themes
- ai education and skills training (0.23)
- scientific computing and research algorithms (0.23)
- experimental AI and simulation tools (0.21)
- AI agents for specialized workflows (0.20)
- AI trading bots and financial intelligence (0.19)
- advanced AI models and agent infrastructure (0.18)
- generative design and multimodal developer tools (0.18)
- AI agents for business operations (0.18)