When many folks first dive into Galxe, they often see it as just another typical Web3 Quest platform: users complete tasks like following Twitter, joining Discord, and interacting on-chain to earn NFTs, points, or airdrop eligibility. At first glance, this setup doesn’t seem much different from the multitude of task platforms that have popped up over the past few years. Even the design of Galxe's interface feels pretty 'light', resembling a standard event tool. However, when you take a closer look at the growth trajectory of Web3 over the past few years, an intriguing phenomenon emerges: whether it's Optimism, Arbitrum, Linea, or new ecosystems like Berachain and Movement Labs, almost all have leveraged Galxe as a core growth platform. In other words, Galxe isn't just a niche tool; it's gradually becoming a key piece of infrastructure in the Web3 ecosystem's growth framework.
And this also means that what Galxe actually provides isn’t merely 'doing tasks to earn rewards', but a more fundamental capability: it is systematically productizing, systematizing, and datafying the originally highly fragmented, short-cycle, and non-reusable growth processes of Web3.
1. The growth dilemma of Web3.
If we look back at the development of the Internet over the past decade, we find that the most mature capability in the Web2 world is not product development, but growth systems. Facebook Ads, Google Ads, recommendation algorithms, user profiles, and membership systems together form a complete industrial system of traffic. Any Internet company can acquire users, filter them, and continuously optimize conversion and retention at low costs through advertising platforms, data analysis, and recommendation algorithms.
But the Web3 world has long lacked this capability.
Most Web3 projects, despite having tokens, communities, and on-chain data, still lack a mature user growth infrastructure. Project teams struggle to discern who the real users are and who are merely airdrop hunters; there is no unified identity system, and they lack cross-platform user profiles. A lot of growth methods still stay at the level of Twitter, Discord, airdrops, and community virality. Thus, the industry has gradually fallen into a typical dilemma: projects can rapidly gain traffic through incentives, but it’s challenging to truly settle long-term users.
The emergence of Galxe essentially fills a missing layer of 'growth infrastructure'. Originally named Project Galaxy, it was established in 2021. Its core vision wasn’t just to be an event platform, but to build an open Credential Data Network, helping developers and project teams recognize user identities through on-chain and off-chain behaviors. In 2022, Project Galaxy officially rebranded to Galxe, and this brand upgrade was not merely a visual change but signified its evolution from a single product to a complete ecosystem centered around identity, growth, and distribution.
2. Formation of the founding team and product path.
The two core founders of Galxe, Harry Zhang and Charles Wayn, are not typical crypto protocol entrepreneurs. They previously co-founded the live streaming platform DLive, which itself is a product that heavily relies on community, creator incentives, and user growth. Harry Zhang has also participated in projects like Lino Network, which gives them a strong Internet product mindset regarding 'how communities grow' and 'why users stay'.
This is why Galxe has never seemed like a pure on-chain protocol, but more like a growth product for the Internet. It has a very clear gamified structure: growth systems, levels, identities, points, task chains, and continuous incentives. These mechanisms are derived from proven growth experiences in the Web2 world. In a sense, what Galxe is doing is relocating the growth logic of Web2 into Web3.
Compared to many Web3 projects that emphasize 'protocols', 'decentralization', or 'technical architecture', Galxe focuses more on user behavior itself. It doesn’t try to alter users through complex mechanisms but gradually propels users to complete the transformation from observation to participation, and then to long-term retention through lower participation thresholds, more continuous task structures, and clearer feedback mechanisms. For this reason, the subsequent product evolution paths of Galxe have always revolved around a single core: how to ensure user behaviors can be continuously recorded, verified, and reused.
3. Analysis of the user behavior assetization mechanism.
Many people analyzing Galxe tend to focus their attention on the Quest itself because Quest is the most direct product form visible to users: project teams release tasks, and users complete actions like following, retweeting, joining communities, and on-chain interactions to earn NFTs, points, whitelist spots, or airdrop eligibility. But if one stops at this level, they'd misunderstand Galxe as merely a 'task outsourcing tool' and overlook its true growth logic.
The key to Galxe isn’t getting users to complete a single point task, but transforming these originally scattered, short-term, non-reusable user behaviors into long-term identity data that can be recorded, verified, filtered, and reused. In other words, Quest is merely the entry point for users into the system; what truly accumulates are users' behavioral histories across different projects, chains, and scenarios.
In traditional Web3 growth, airdrops and tasks often bring about a problem: users join for rewards, complete actions, and then leave, with project teams ultimately obtaining short-term data instead of long-term relationships. For example, a user may join Discord today for an airdrop and complete a trade tomorrow for a whitelist; after the tasks end, these behaviors often fail to continue generating value, making it challenging for project teams to determine whether the user is a genuine contributor, a short-term opportunist, or a potential core user.
Galxe's approach is to turn every action into accumulatable records like Credential, OAT, Passport, and Score, ensuring user behavior is no longer a one-time consumption but enters a long-term identity account system. After completing tasks, users don't just 'receive rewards'; they gain a verifiable, showcaseable, and subsequently usable on-chain or off-chain history.
This mechanism changes the psychological account of user participation. In the past, users completing tasks were essentially doing growth actions for project teams; within Galxe's system, as users complete tasks, they are continuously enriching their identity records. A wallet that has participated in activities from ecosystems like Optimism, Linea, and Arbitrum will have a completely different weight compared to a brand new empty wallet when gaining qualifications, entering activities, or being recognized by projects in the future. Thus, users will gradually form a mindset of 'nurturing their accounts': the richer my wallet history, the more complete my participation records, and the more identity credentials I have, the higher the probability of gaining rights in the future.
More importantly, this behavior assetization not only serves users but also project teams. For project teams, what Galxe provides isn’t just simple traffic, but a user pool that is tagged, historical, and filterable. Project teams can filter user groups based on past on-chain interactions, community behaviors, task completions, and identity credentials that align more closely with their goals. For example, a DeFi project might focus on wallets that have previously used cross-chain bridges, DEXs, or lending protocols; a new public chain might seek users who participated in testnets, completed developer tasks, or have high activity records; an NFT project might prioritize collection history, community engagement, and dissemination behaviors.
From this perspective, Galxe’s moat isn’t in the Quest page itself because task pages, reward mechanisms, and NFT badges can all be imitated; what is truly hard to replicate is the long-term accumulated user identity data and behavior network. As more projects launch activities on Galxe, users' behavioral histories will become increasingly complete; and as more users deposit their participation records on Galxe, project teams will be more willing to use Galxe to filter target users. Ultimately, a mutually reinforcing growth relationship will form between the platform, projects, and users: the more projects, the richer the behavioral data; the richer the data, the more precise the user filtering; the more precise the filtering, the more dependent project teams become on the platform.
4. Gamified growth paths and ecological synergy.
Another critical capability of Galxe is that it didn’t design growth as a simple 'complete tasks – receive rewards' process, but reorganized the originally fragmented growth actions into a continuous behavior system. Most Web3 projects often face two extremes when growing: either the threshold is too high, demanding users to connect wallets, cross-chain, trade, or provide liquidity right from the start; or the threshold is too low, merely stopping at actions like following, retweeting, or joining communities, which ultimately fails to form genuine product usage.
Galxe's intelligence lies in breaking these actions down into a progressively escalating task ladder, allowing users to transition from 'spectators' to 'participants' and then to 'ecological users' without realizing it.
This path usually starts with low-cost social actions. For instance, following official accounts, retweeting content, joining Discord, and browsing project pages. The point of these tasks isn’t to prove user quality, but to lower the psychological barrier for first-time participation and expand the reach of activities. Once users complete these initial low-cost actions, Galxe can push them further with subsequent tasks to connect their wallets, claim NFTs, complete identity verification, or access specific dApps. The goal at this stage is to shift users from a Web2-style spectator to a Web3-style participant, transforming social traffic into identifiable wallet users.
After users complete wallet connections and basic on-chain operations, tasks will continue to scale up to higher-value on-chain actions such as cross-chain, swapping, minting, lending, voting, staking, and using ecological applications. These actions are truly meaningful data for project teams because they not only signify that users know about the project but also that users are willing to invest time, gas costs, and certain operational risks. Galxe breaks down these complex actions into manageable goals through task paths, allowing users to receive feedback and rewards with each step completed, thus lowering the psychological barriers imposed by complex on-chain operations.
In a sense, Galxe is more like using gamified mechanisms to reorganize growth behaviors. Users aren’t suddenly pushed towards high-threshold operations, but rather gradually enter deeper ecological participation through continuously completing tasks, receiving feedback, and accumulating achievements. This is why Galxe’s growth model can often yield significant effects in large ecological activities.
Taking Layer2 or new public chain ecosystems as an example, the hardest part isn’t making users 'know it', but getting them to truly experience multiple applications within the ecosystem. If project teams rely solely on their own promotions, users may only stay at the cognitive level; however, through Galxe's task system, the ecosystem can package multiple applications into an exploration route, allowing users to experience different modules like wallets, cross-chain bridges, DEXs, NFT markets, games, and social applications in task order. In this way, growth becomes no longer a single point of acquisition but an organized ecological tour. While completing tasks, users effectively engage in ecosystem education, product trials, and behavior sedimentation, while project teams simultaneously gain traffic, interaction data, and potential user filtering.
On a deeper level, Galxe’s task system also addresses the issue of 'incentive and behavior mismatch' in Web3 growth. Many projects can only broadly incentivize a result when issuing rewards, such as making a trade once, minting once, or joining a community, but such incentives easily attract a large number of low-quality users. Galxe's approach is to break results into processes, design processes into paths, and then use different rewards to correspond with different levels of behavior. Low-threshold tasks offer light rewards while high-value tasks grant more scarce benefits, and continuously completing tasks earns users higher-level qualifications or identity credentials. Thus, user quality is gradually filtered out during the task process: those willing to only retweet stay on the surface, those willing to connect wallets move to the mid-tier, and those willing to continuously interact and complete complex tasks become higher-value users.
Therefore, what Galxe is doing isn’t merely event operation, but redesigning the participation path for Web3 users. It transforms the originally chaotic growth process into a gamified system with entry points, progression, feedback, and filtering. Users perceive the completion of tasks and rewards, while project teams gain user education, behavior guidance, data sedimentation, and user stratification.
5. Data flywheel and platform strategy.
As the product continues to evolve, Galxe is no longer satisfied with the Quest platform positioning. It is gradually rolling out products like Passport, Starboard, Earndrop, and Gravity, aiming to cover the entire Web3 growth chain: Quest guides user behavior, Passport handles identity verification, Starboard is responsible for community data analysis and contributor identification, Earndrop manages reward distribution, while Gravity extends further into the underlying infrastructure.
This signifies that Galxe is transitioning from a task tool to a complete growth operating system.
Its truly difficult-to-replicate aspect isn’t the task page itself, but the gradually formed data network and ecological network. As more projects connect, Galxe can accumulate richer user behavior data and help projects filter more precise user groups; with more users solidifying their identities and historical behaviors, the user profiles on the platform will also become increasingly complete.
Ultimately, Galxe has formed a classic platform flywheel: the more projects, the more users; the more users, the richer the behavioral data; the richer the data, the more precise the user filtering; the more precise the filtering, the more willing project teams are to continue investing growth resources on the platform.
In a sense, what Galxe aims to do is not become the largest task platform in Web3, but more like Google Ads in the Web3 world—what it truly operates isn’t tasks, but a growth network built around identity, behavior, and distribution.
6. Conclusion.
If we say that past Web3 growth essentially lingered in the 'traffic thinking' stage, then the emergence of Galxe signifies that the industry is beginning to genuinely attempt to establish 'identity thinking'. In the past few years, many projects relied on airdrops, community, and token incentives for cold starts, but the issues with this model are equally evident: users come for rewards and leave when the rewards end, often leaving projects with only short-term data instead of long-term relationships.
What Galxe truly changes is that it begins to give user behavior a continuously accumulative value. A wallet is no longer just a one-time interaction tool but gradually transforms into a long-term account with historical records, participation histories, and identity credits. The ecosystems users have participated in, the behaviors they have completed, and their long-term activity will gradually solidify into a verifiable, accumulatable identity asset.
This is why the value of Galxe lies not just in Quest, NFTs, or airdrops themselves, but in its effort to shift the Web3 growth logic from 'reward-driven' to 'identity-driven'. As more projects begin to design growth around user historical behaviors, and as more users start to value their on-chain histories over just short-term profits, the growth methods in Web3 will also differ entirely from the past. Many see it as a task platform, but Galxe is more like building a new growth order: user behaviors are recorded long-term, identity values are continually accumulated, and growth is no longer just a one-time traffic exchange but will gradually evolve into a long-term relational network built around identity.
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This series will continue to be updated. If interested, you can read past articles dissecting growth strategies of Web3 projects.
Chap.1: How to drive virality and explosive growth.
Chap.2: What Virtuals really does isn’t AI Agents, but the capital market for AI Agents.
Chap.3: Hyperliquid's journey from TGE lows to 1.4 million users in its four-phase flywheel recap.
Finally, everyone is welcome to discuss and share your thoughts. Follow this series as we will continue to update irregularly to explore and break down more growth strategies of Web3 projects.