83 karma · joined February 3, 2016
1G9rFpdDBCkyYnJwYxj19NM65p4tFcMtir https://explorer.blockstack.org/address/1G9rFpdDBCkyYnJwYxj19NM65p4tFcMtir
Both miss the point. The "healthcare" we're buying is junk. It's designed to manage chronic diseases we create with bad food. ACA subsidies? Just funding the epidemic.
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.
A more useful way to approach reformulation is to focus on the metabolic systems most affected by ultra-processed foods. Think about protecting the liver by capping added sugar and fructose and reducing seed oils, feeding the gut by adding real fiber and removing emulsifiers that disrupt the microbiome, and supporting the brain by rebalancing fats and including essential nutrients. This way of thinking, sometimes called the metabolic matrix, has already been applied at scale in the Middle East, where a major food company reformulated hundreds of products.
The other missing piece is verification. Labels and nutrient panels don’t tell you whether a food reduces metabolic stress. Continuous glucose monitors do. A simple A/B test comparing the old and reformulated product shows immediately whether you flattened the glucose spike. That gives you real outcome data within days rather than waiting for epidemiology years later.
This frames reformulation as an engineering problem: change the inputs, define the constraints, then measure the outputs with real human data. It shifts the conversation from “does the label look better” to “does this food reduce glycemic pressure in practice.”
I’m curious whether others have tried using CGMs or other biometrics in product design. Could this become a standard tool for validating food and nutrition claims?
The scenario is fiction, but it’s based on real trends:
Continuous glucose monitoring & nutrient density scoring becoming cheap
Rural retail chains reaching more households than clinics
Chronic disease costs ($1.9T annually in the U.S.) creating an incentive for food/health convergence
Data + supply chain innovations aligning farmers, retailers, and insurers around prevention
In the story, Heartland Mart starts as a dollar store, then layers food scoring, metabolic coaching, and insurance alignment. Over a decade, this collapses healthcare costs by nearly half.
The core thesis is that the incumbent healthcare system, optimized for profitable disease management, is being outcompeted by a new, decentralized system built on nutrient density and transparency.
Key disruptive elements explored:
New Tech Stack: How companies like Earth Optics (GPR soil mapping), Miraterra (soil DNA sequencing), and Edacious (nutrient verification) created the data layer for a new food system.
Vertical Disintegration: The commodity ag market splits into separate supply chains for Food, Feed, and Fuel, driven by consumer demand for traceability and quality.
N-of-1 Biohacking: A new generation rejects institutional health and uses CGMs and smart rings to drive market demand, forcing CPGs to adapt or die.
The "Upstream Cure": The economic model flips when regenerative ag makes nutrient-dense whole food cheaper and better-tasting than ultra-processed alternatives, collapsing the business model for sick care.
It's a thought experiment on how interlocking, complex systems can be transformed by market-based, technological solutions from the ground up. Curious to hear this community's take on the plausibility of this pathway and the tech involved.
Function Health's proteomic analysis creating personalized nutrition algorithms A WeChat-style platform ("LifeOS") that integrates health data, food purchases, insurance, and community Grocery stores with real-time biomarker integration for personalized shopping Distributed "Healthspitals" replacing centralized hospitals
The economic model is what makes it inevitable: insurers profit from keeping people healthy longer, employers see 8:1 ROI on healthspan investment, and the elimination of employer-sponsored health plans reduces administrative overhead by 40%. Based on real companies and current research, but projected forward to show system-level transformation. Curious to hear NackerNews's thoughts on the technical feasibility and potential barriers.
19,000+ strategically located stores Existing supply chain relationships Customer acquisition costs near zero Market timing around food-as-medicine trends
Worth reading for the systems thinking around how transformation actually happens vs. how we think it should happen.
A workforce reduction of roughly 10,000 full-time positions to save taxpayers $1.8B per year
A consolidation of 28 divisions into 15 for improved operational efficiency
An initiative to revamp the customer experience while keeping essential services intact
I dive into the details and implications of these changes on my Substack post.
It’s a fascinating and underappreciated piece of soft (and sometimes hard) power that continues to shape global relations — even in the age of climate change and agtech.
Would love to hear how others see the intersection of food, policy, and strategy.