Consumer apps are giving shoppers instant nutrition scores and ingredient transparency. Yuka reports that 94% of users put back red‑rated items; Intermarché reformulated 900 products and removed 142 additives to improve scores.
Upstream, companies like Edacious are measuring nutrient density and making the data usable across the supply chain. The hypothesis: verified nutrition unlocks demand and sends a reformulation signal that rewards value‑added agriculture.
Questions for HN: What data standards, APIs, or open ontologies should this stack build on? Where do these tools break (gaming, model drift, labeling‑law conflicts)? What would you want retailers, payers, or EHRs to expose so that nutrition data can flow?
Upstream, companies like Edacious are measuring nutrient density and making the data usable across the supply chain. The hypothesis: verified nutrition unlocks demand and sends a reformulation signal that rewards value‑added agriculture.
Questions for HN: What data standards, APIs, or open ontologies should this stack build on? Where do these tools break (gaming, model drift, labeling‑law conflicts)? What would you want retailers, payers, or EHRs to expose so that nutrition data can flow?
Disclosure: we’re investors in Edacious.