Ask Türkiye's waste system a real question.

Roughly half of Türkiye's municipal waste is organic. Because it is wet and heavy it contaminates the paper, plastic and glass around it, and in landfill it becomes methane. Separating it at the kitchen is the cheapest intervention available — and it is what makes every other stream recyclable.

• Phase 1: Audit — Label the bins you already own. Separation starts with a place to separate into.
• Phase 2: The big switch — Add the compost bin. Separating the heavy food waste is the single biggest impact, because organic material is roughly half of Türkiye's municipal waste and it contaminates everything it touches.
• Phase 3: Refinement — Swap the daily plastics: reusable produce bags and beeswax wraps.
• Phase 4: Lifestyle — Replace bathroom and cleaning items as the old plastic ones wear out.

Starter kit: Countertop compost bin with a charcoal filter · Beeswax wraps · Reusable mesh produce bags · Bamboo toothbrushes, biodegradable floss, reusable cotton rounds · Plant-based loofah sponges and coconut-fibre brushes · Waterproof bin labels reading trash, recycle, compost

Practice list adapted from the Satlineh (formerly SatLunNeh) waste-management platform. SmartWaste-AI---Intelligent-Waste-Management-number-2SmartWaste-AI---Intelligent-Waste-Management-number-2

Read out of the related waste-management repositories, grouped by what they address. Only the Satlineh platform carries food-specific practice; the rest are transferable lessons, and each one names where it came from.

• Put the kitchen first [Direct · food-specific]
  In the Satlineh toolkit the organic bin is part one, not the last item on the list. Treat separating food waste as the starting point of a household programme rather than its final refinement.
• Sequence the change [Direct · food-specific]
  The upstream four phases place the compost bin second — after labelling, before swapping packaging. Heaviest and wettest first: separating food waste is what keeps the dry recyclables clean enough to sell.
• Solve odour to solve adoption [Direct · food-specific]
  The recommended countertop bin ships with a charcoal filter. Odour is the reason household composting is abandoned, so the filter is not an accessory — it is the adoption mechanism.
• Target restaurants with numbers [Direct · food-specific]
  The upstream material sizes its examples: a mid-sized restaurant producing five tonnes of food waste a month, a restaurant opening that plans for composting. Naming the tonnage is what turns an environmental pitch into a cost conversation.
• Quantify the diversion [Direct · food-specific]
  The platform pairs a value calculator with an impact reporter. Savings are shown as landfill-fee avoided plus recycling revenue — the two lines a business actually books.
• Optimise the route before adding trucks [Logistics]
  Route optimisation and real-time tracking are reported at up to seventy percent operational improvement, with a comparable cut in transport emissions. Organic waste is the heaviest and wettest stream, so it carries the highest haulage cost and leaks if the truck is late.
• Collection is where the market is [Logistics]
  Collection is roughly fifty-six percent of a waste market valued near 1.3 trillion dollars, yet digital tools address only about a tenth of it. The gap is in the pick-up itself, not in the sorting technology.
• Reward the person who separates [Incentives]
  Two independent models converge: a scan-deliver-earn token loop, and a community equity model assigning sixty-five to seventy percent of the project to active users. Both make participation itself the payout.
• Borrow an existing network [Institutions]
  The rural plan does not build a collection network; it partners with a postal institution already present in six thousand villages. In Türkiye the analogue is the municipality plus the existing waste-haulage concessionaire.
• Pilot, then three to five, then scale [Institutions]
  The funding analysis recommends one validated pilot, then three to five in strategic markets, and only then a large raise. The teardown of the model is explicit that no strategy is unbreakable — the sequencing is the risk control.
• Turn practice into content [Engagement]
  The creator studio converts everyday zero-waste habits into video scripts, ebooks and children's stories with monetisation guidance. Education and income come from the same activity, which is what sustains it.
• Sense the bin, do not schedule it [Engagement]
  The SatLunNeh prototype bin measures fill level with two ultrasonic sensors and a servo lid, and pushes a notification. Fill-level data is what turns a fixed weekly round into a collection that happens when it is actually needed.

• None of the surveyed repositories defines a diversion-rate measurement, so none of them can prove how much organic material actually left the landfill stream.
• Cold chain and hygiene are absent. In a Turkish summer, organic waste degrades within a day, and no source addresses storage between collection rounds.
• No source engages Turkish regulation — the 2015 waste-management regulation, the 2024–2035 national strategy, or the 2053 net-zero commitment.
• Every model addresses the household. Hotels, hospitals and produce markets generate organic waste at a scale neither the toolkit nor the collection models cover.
• The token model is unproven. No source shows a sustained revenue line from recycled organic material — only the promise of one.