Botanical insight
Terpa turns plant experiences into structured insight.
Terpa is an education and insight project that pairs product chemistry with user-reported experiences, using privacy-first data flows to cut down on guesswork.
Overview
A measurable view of how products feel.
Terpa combines product details, short voice notes and structured feedback into comparable records. It is educational and insight-focused, not medical advice.
Over time the shared, anonymized dataset can show trends that labels alone never reveal, and researchers can request access through the same consent flow as every other project.
In progress
Experience factors
- Reported effects
- Sleep and stress context
- Focus and mood
- Terpene profile
- Cannabinoid content
- Personal goals
- Tolerance notes
- Voice reflections
- Sentiment mapping
- Label scanning
- Community rankings
- Anonymized trends
Project functions
01
Scan and add
Adds products by barcode, label photo or a short structured form.
02
Voice notes
Lets users record quick reflections that are organized into experience signals.
03
Ranking engine
Scores products against specific goals using community-reported outcomes.
04
Trend dashboards
Gives producers anonymized patterns without exposing individual records.
05
Researcher access
Opens consented, de-identified data to academic and industry researchers.
06
Future matching
Explores chemistry- and signal-based matching as the dataset grows.
Why it matters
Noisy data needs a cleaner signal.
Names and percentages rarely explain how a product feels. Terpa gives the network a privacy-first lane for turning real experiences into comparable insight.