How can a decentralized talent pool solve one of the biggest problems of Web3?
Web3 represents a paradigm shift in how the world transacts, works and collaborates. In a decentralized, trustless network, individuals own their data and contribute to an equitable digital economy. Although promising in concept, perhaps the most exciting part about this space is the fact that the majority of it is yet to be defined. Therefore, the individuals building the Web3 environment truly hold the power to shape the future.
Unfortunately, while Web3 startups are opening the door to new jobs and talented individuals have the skills to bring these roadmaps to fruition, the hiring and selection process is riddled with challenges. For companies, the talent pool of hires with the right experience and desired skill sets exists only across several close-knit communities. Therefore, recruiters who don’t have access to these communities often have difficulty filling the gaps. What’s more, almost a quarter of Web3 talent came through recommendations and only 6% applied through a job posting based on recent survey data.
A secondary problem becomes evident in the larger context of sourcing talent, as finding the right individual is time-consuming, often taking weeks or even months. As a result, any time a new position opens up, a major investment needs to be made on behalf of the company.
Finally, even when recruiters do manage to identify talented individuals, they may find that the best candidates are already employed and not actively looking for a new job. This can be frustrating for companies eager to hire the best possible talent for their Web3 project. Despite this problem becoming more apparent, recruitment remains one of the industry’s biggest problems and least researched areas.
Fortunately, a new model is being
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