Tekin Salimi is the project manager at Polychain Capital, where he works closely with portfolio projects to add value across multiple verticals.
The following article is an exclusive contribution to CoinDeskâs 2017 in Review.
One of the most fascinating outcomes of the 2017 gold rush into open-source protocol development is the growth of âcommunity managementâ â a business function that combines elements of marketing, business development, investor relations and human resources.
Community managers are being hired en masse. Their job is to oversee all matters relating to a blockchain projectâs community of supporters. This includes interacting with core developers, contributors, investors and even end users. The role of the community manager is vital to the success of a protocol; so vital that a âcottage industryâ has propped up overnight to offer community management as a service.
Pay anywhere from tens to hundreds of thousands of dollars and a contractor will manage your projectâs Slack and Telegram channels, Reddit posts and marketing strategies (which may include, for example, âair droppingâ free tokens to potential contributors).
Even more interestingly, community management is somewhat disrupting traditional notions of how business organizations should operate.
Due largely to the proliferation of freely tradable cryptocurrencies and the use of new incentive games such as developer bounties, there is a growing adoption of, what could be described as, the âcommunal business model.â
One distinct characteristic of this model is blurring the line between formal employment and informal contribution.
Through the use of bounties and payment via inflationary funding, anyone around the world may contribute labor to a blockchain project and be rewarded through a dilutive issuance in that projectâs native currency. Rewards are most commonly offered for tasks such as coding, logo design, website design, white paper translation and more.
In theory, so long as the value realized in a tokenâs market price by virtue of the work exceeds the value diminished through dilution, any labor sourced and compensated through this model is a net benefit to all token holders.
The use of bounties also bootstraps the development process by mobilizing and incentivizing a much broader group of participants. From managementâs perspective, bounties enable the company to meaningfully vet prospective hires through a âtrial runâ before committing to the offer of full employment.
Unsurprisingly, blockchain projects using these mechanisms today often consist of distributed teams of contributors from around the world, and â anecdotally â have low attrition rates.
Another characteristic of this model is that transparency often trumps confidentiality.
Try spending time in a projectâs Slack channel and you may be surprised by the amount of seemingly proprietary information a core team will share. This is uniquely enabled for blockchain development projects due to the open-source nature of the code base in development.
Often, a protocolâs adoption relies more on network effects (i.e. strong community backing) than it does on proprietary information or functionality, so there is an inherent incentive to reduce the information asymmetry between a projectâs core team and its support community.
Case Study: Interactive Coin Offerings
The interactive coin offering protocol co-authored by Jason Teutsch (Truebit) and Vitalik Buterin (ethereum) is a great case study of the communal model in practice.
Through a publicized announcement of the white paper, 73 developers joined Truebitâs Slack channel including representation from the Ethereum Foundation, Zeppelin, ConsenSys, Modular, Shapeshift, five acclaimed developers from the USCC coding challenge, and many more.
The group quickly self-organized to build the first implementation of the smart contracts with various parties contributing to the protocol, code, testing, security audits and UI/UX design.
The implementation can be found in Truebitâs Github repository.
It is possible that open source development is merely the first use case of a communal business model.
In coming years, decentralized autonomous organizations (DAOs) might utilize the transparency and censorship resistance properties of blockchain technology to pursue their business objectives in new ways. This would blend the traditional roles of managers, employees, shareholders, creditors and customers.
The use of on-chain voting could enable DAOs to implement a liquid democracy model to decentralize managerial decision-making. And similar to the case of protocol development, mechanisms like bounties, inflationary funding and tokenized/automated dividends can be used to incentivize and reward a DAOâs workers.
The notion of a DAO that is operated and governed entirely on-chain is the epitome of the communal business model. As entities of this nature gain adoption, the labour force of the future may look less like a â9-to-5 job economyâ and more like a âgig economyâ on steroids.
Community management is sparking a paradigm shift. One that may, in time, influence even the most âclosedâ industries to re-evaluate their approaches.
I focus on the example of law firms, as it is the case I am most familiar with. Law firms are business entities that, historically, have had little to no economic incentive to coordinate or cooperate with one another. In fact the opposite is true. Law firms are motivated to safeguard and silo intellectual resources, as very minute and nuanced information is often what differentiates the value proposition of one firm from another.
Nevertheless, we live in a world in which most forms of intellectual labor (including legal work) are being increasingly commoditized.
So, it seems plausible that new âopenâ approaches may demonstrate the economic benefits to collaboration in certain contexts (such as a nascent regulatory industry like blockchain). The SAFT Project is a great example of a co-ordinated approach in such a context.
To be clear, I donât expect the firm model to go away overnight â or likely ever. But blockchain technology presents an important opportunity to experiment with open models in traditionally closed arenas.
Many thanks to Robbie Bent (Truebit) for his feedback on earlier drafts of this piece.
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