//STORE enables these computing, economic, and governance primitives

Zero-fee settlement-layer enables

Zero-fee, peer-to-peer value transfer

Fast transactions

Scalable transactions

Democratic and 2/3 censorship resistant governance (one entity, one vote)

Tokenized Data enables

Data to be open and tradable

Data to be programmable by third party apps and devices

Data to have a monetary premium (like $STORE, $BTC, $ETH, $EOS, and gold)

Datacoin revenue to be shared with users, citizens, more

…which enables these high-level use cases

Zero-fee settlement-layer enabled

Tokenized data enabled (p2p cloud)

High-level Use Cases

Fast, zero-fee, programmable payments for the public internet

Voting on the global rules of a decentralized, zero-fee digital asset

Zero-fee, 2/3 censorship resistant value transfer of data as a digital asset

Voting on the global rules of decentralized, open, and programmable data

A web2 app developer opening APIs for other developers to build with (for $STORE)

An IoT device developer live streaming datasets for anyone to access (for $STORE)

A health care system making a prized and rare dataset available (for $STORE)

An autonomous car or drone opening its ML-ready, live data streams (for $STORE)

A local government streaming IoT device data for anyone to access (for $STORE)

(If we publish, we’ll award you with 100,000 $STORE – enough to compete in founding mining auctions.)

While STORE transactions are zero-fee for both end users and developers, if STORE is initially deployed as n ERC20 token on Ethereum, applicable gas fees apply on Ethereum. All settlement transactions on Ethereum incur gas fees. When the ERC20 STORE tokens are swapped with native STORE token tokens, transactions will be settled on the STORE network and at that time, zero-fee transactions are resumed.

August 31, 2017 . 6 min read

STORE Update — August 2017

Summary: This STORE August 2017 research update touches on our research and development for the STORE Green Paper, our Dynamic Proof of Work consensus algorithm, other Proof of Stake algorithms such as EOS and Ethereum’s upcoming Casper, historical ETH/BTC correlations regarding transactions per second vs. price, the general economics of blockchains, our First Token Sale and the next steps for STORESTORE.

Summary: This Storecoin August 2017 research update touches on our research and development for the STORE Green Paper, our Dynamic Proof of Stake consensus algorithm, other Proof of Stake algorithms such as EOS and Ethereum’s upcoming Casper, historical ETH/BTC correlations regarding transactions per second vs. price, the general economics of blockchains, our first invite-only token generation event and the next steps for STORE.

After two months of research, writing, design and code, we finished theSTORE Green Paper.

We wroteour introductory post on Medium, explaining the genesis story behind STORE and where it is headed.

We also finished the high level design of our Dynamic Proof of Stake consensus algorithm — or DyPoS. We think of it as Uber surge pricing for offering validator rewards on a Proof of Stake-powered public blockchain.

On the research front, we started by evaluating various Byzantine fault tolerant algorithms and how they work to provide decentralized consensus. After reviewing the white papers and other documentation from the biggest players, we believe that Tendermint has the best-in-class general flow for block production. We primarily focused on the economics of each, and how the economics adjust over time with changes to the dynamics of the network, validators and users. Further, we researched the new Ethereum proof-of–stake (PoS) build “Casper”, as well as EOS. These blockchain systems will be fully PoS in the near future, moving from proof-of-work, which tends to be much more resource intensive.

Casper, by Ethereum, is attempting to be an at-scale public Byzantine fault tolerate consensus environment where anyone can purchase a certain amount of ETH (Ethereum’s currency) in order to secure the network (The maximum number of validators sits at approximately 8,000 by way of 80 shards and 100 validators per shard). The rationale is that as more people “bet” on the right block with diminishing odds, the right block is supposed to become validated and verified. By this method, users will pay fees and stakers will receive rewards for securing blocks based on their staking size.

EOS takes a slightly different approach: developers buy EOS tokens to gain network capacity. The more tokens you purchase, the more capacity you receive. Conversely, you may give up the capacity to retrieve your stake. EOS transactions will be free thanks to inflation paid to validators each block. This is known as Delegated Proof-of-Stake as they have a pre-set number of validators, 21 in total, that are voted on from the inception of the network These delegates can be replaced, giving them some more skin in the game.

This research led to the economic basis for STORE, which, to summarize, is:

  1. Free transactions for users
  2. Quick block turnaround times
  3. Healthy economic incentive to validators (stakers)
  4. Sustainable cash flow to the network
  5. Controlled inflation to pay for transactions
  6. Dynamic block rewards

At STORE, we understand that the most important objective is getting many users to transact on the network and having a blockchain that can accomplish this quickly at scale. This alone will drive prices higher and keep the network effect moving in the right direction. Of course, inflation will affect price, but with proper planning and controls, the network will be able to meet market demands.

Our first analysis was to research if there was a correlation between transactions per second and price, either with BTC or ETH. The short answer was, yes there is a moderate to strong correlation. A few periods of uncertainty such as the Mt. Gox and Silk Road issues resulted in a short disconnect during 2014, but outside of that time period there is a strong connection between the valuation price of the two cryptocurrencies and the volume of transactions being performed.

Here are the daily charts and correlation coefficients for Bitcoin and Ethereum:

Historically, Bitcoin has a 73% correlation between transactions per second and token price.

Historically, Ethereum has a 95% correlation between transactions per second and token price.

​​Research shows that the simple economics of supply and demand apply in the cryptocurrency world. The more popular a blockchain becomes in its early stages, the more value is assigned to each coin.

Our next step was building a Dynamic Proof-of-Stake logic to correspond to that outcome. For reference, this is similar to Uber’s surge pricing model. The general theory behind how it works is that when the number of riders looking for an Uber outweighs the number of drivers available (within a specific area) the price will go up for riders.

Two things are supposed to happen as a result of the price going up. It should reduce the quantity demanded (fewer people willing to pay a higher price for a ride) and raise the supply (more drivers want to come drive when their pay is higher). As a result of those two effects, Uber minimizes wait times for its riders and maximizes incentive for drivers.

For STORE, it means matching supply (validator power) and demand (number of transactions per second) efficiently at a high level. In general, the slower the block times are at the start, the higher the reward incentive must be for validators to get involved. We do this in a way that targets our annual inflation goals (which start at less than 5% and slowly decrease each year after).

In summary, we made significant progress on STORE and our Dynamic Proof of Stake consensus algorithm, which can be described as free transactions through a blockchain, paid for with a maximum of 5% inflation per year, spread out across 365 days, using a similar algorithm as Uber surge pricing.

Finally, in late August, our creator, Chris McCoy, traveled to Buenos Aires to visit with our blockchain engineering team,CoinFabrik.

For two days, they worked through critical business and engineering items and came away with a go-forth plan for the next phases of STORE research and development.

While staying in downtown Buenos Aires, Chris enjoyed the incredible BBQ and the Malbec offered up by the city.

A few hours before landing in Buenos Aires, TechCrunchpublished Chris’ thoughts on the future of tokenization.

While on the trip, Chris engaged in conversation from the Twitter crowd, specifically Finance Twitter, led by Bloomberg Business.

The TechCrunch piece was picked up by the popular aggregator MediaRedef.

Chris is now working on a follow-up piece to respond to questions from the Twitter finance crowd. He’ll team up with University of Oregon Professor Stephen McKeon who wrotethese thoughts around tokenizing real-life assets.

On the legal front, STORE retained the services ofAntone Johnson andBottom Line Law Group to help with SEC compliance, legal documentation for token generation events, and token grants to various STORE Team members.

For its first invite-only token generation round, the STORE team’s goal is to fund 3 percent of its treasury.

On the engineering front, the team will begin security and load testing for our unique Dynamic Proof of Stake consensus algorithm.

We expect our September update to be much about that.

In the meantime,follow us on Twitter andsubscribe to our blog on Medium.



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KYC/AML checks are required for securities law compliance. This will be a Reg D and Reg S global offering.


Nothing herein is intended to be an offer to sell or solicitation of offer to buy, STORE tokens or rights to receive STORE tokens in the future. In the event that STORE conducts an offering of STORE tokens (or rights to receive STORE tokens in the future), STORE will do so in compliance with all applicable laws which may include the Securities Act of 1933 and the rules and regulations promulgated thereunder, as well as applicable state and foreign law. Any offering for sale to US Persons in a regulated transaction will be pursuant to a registration statement qualified by the Securities and Exchange Commission, or an applicable exemption from the registration requirements.