Trust Notes

Economy

1. Users want to post content. So they buy long-term storage in shelters. Price is publicly displayed by Shelters in mbPrice * weekPrice.
2. Users want to read content, so they buy long-term reading ability from registries automatically, when they discover them and start fetching.
3. Users wants content to be quality and spam-resistant, so regardless of storage we expect content to burn FairShares in some amount, by default: 1 FairShare = 100 Characters of content (metadata). We filter out everything below that makes it to the network as noise and we give attention to high-burn content.

burnFS = ceil(character/100) * importance (extra burn) 4. Shelters compete by storage-price ratio and stability. 5. Registries want to know what to store to earn FairShares. They compete by collecting maximal totalBurn, which is equivalent of “importance” of data, however users define it (by burning FairShares on content).

Registries, despite lower totalBurn, for non-governance decisions may still be preferred by client-side algorithms for region, latency or preferred data.

Strategy

<aside> 💸

• secure real distribution (not hypothetical users)
• deliver better ROI than existing ad platforms
• give users real, stable value
• hide complexity completely
• and avoid token-driven collapse dynamics </aside>

Patnerships & Integrations

• Brave - include Atlas in installation

• Shopify systems & Marketplace (allow people to give alternative price in FairShares)

• Allow FairShares to be used to get discounts (hybrid model instead of full FairShares payment)

• Allow users to initiate a “request for discounts” themselves, by paying in FairShares seller

• Marketplace where people can put stuff for sale (even selling Fiat for FairShares)

• Initial feeling

• Atlas “Guard App” (Browser or Browser Extension)

• Atlas “Killer App”