Galxe: How a Quest Platform Evolved into Web3's Growth Infrastructure

marsbitDipublikasikan tanggal 2026-05-25Terakhir diperbarui pada 2026-05-25

Abstrak

Galxe, once perceived as a simple Web3 quest platform, has evolved into a core growth infrastructure within the Web3 ecosystem. It addresses a fundamental Web3 growth dilemma: the lack of a mature, systematic user acquisition and retention system akin to Web2's advertising and analytics platforms. While users complete quests (social tasks, on-chain interactions) for rewards, Galxe's true innovation lies in transforming these fragmented, one-off actions into lasting, verifiable identity credentials. This process of *behavioral assetization* creates a persistent record of a user's activities across projects and chains. For users, their wallet accumulates a valuable history that can unlock future access and rewards, fostering a "profile-building" mentality. For projects, Galxe provides a pre-screened user pool with rich behavioral data, enabling targeted outreach to users based on their specific on-chain history and community engagement. Galxe employs a gamefied growth path, guiding users from low-friction social tasks into deeper, valuable on-chain interactions through a structured progression of quests. This solves the incentive-behavior mismatch common in Web3, filtering users by their willingness to engage. Beyond quests, products like Passport (identity verification) and Starboard (community analytics) position Galxe as a comprehensive growth operating system. The platform's defensible advantage is its self-reinforcing data and network flywheel: more projects attract mor...

Author:137Labs

Many people's first encounter with Galxe leads them to understand it as a typical Web3 Quest platform: users complete tasks like following Twitter, joining Discord, or performing on-chain interactions, then claim NFTs, points, or airdrop qualifications. Superficially, this logic doesn't differ fundamentally from the many task platforms that have emerged in recent years. Even in product form, Galxe's pages appear very "light," resembling more of a standardized activity tool. However, when one truly observes the growth trajectory of Web3 over the past few years, a thought-provoking phenomenon emerges: whether it's Optimism, Arbitrum, Linea, or new ecosystems like Berachain and Movement Labs, almost all have used Galxe as a core growth platform at some point. In other words, Galxe is not a marginalized tool but has gradually become part of the growth infrastructure within the Web3 ecosystem.

This also means that what Galxe truly provides is not merely "complete tasks, claim rewards," but a more fundamental capability: it is gradually productizing, systematizing, and data-fying the originally highly fragmented, short-cycled, and non-reusable growth processes of Web3.

The Growth Dilemma of Web3

Looking back at the past decade of internet development, one finds that the most mature capability in the Web2 world is not product development but the growth system. Facebook Ads, Google Ads, recommendation algorithms, user profiles, membership systems—these elements together form a complete, industrialized system for traffic. Any internet company can acquire users, screen them, and continuously optimize conversion and retention through advertising platforms, data analytics, and recommendation algorithms.

But the Web3 world has long lacked this capability.

Most Web3 projects, despite having tokens, communities, and on-chain data, have always been missing a mature infrastructure for user growth. It's difficult for project teams to know who are real users and who are merely airdrop hunters; there's no unified identity system, nor cross-platform user profiles; a large portion of growth methods still rely on Twitter, Discord, airdrops, and community referrals. Consequently, the industry has gradually fallen into a typical dilemma: projects can quickly gain traffic through incentives but find it hard to truly retain long-term users.

The emergence of Galxe, in essence, is filling this missing layer of "growth infrastructure." Galxe was originally named Project Galaxy, founded in 2021. Its core vision wasn't simply to be an activity platform but to establish an open Credential Data Network, aiming to help developers and project teams identify user identities through on-chain and off-chain behaviors. In 2022, Project Galaxy officially rebranded as Galxe. This upgrade wasn't merely a visual change but signaled a shift in its positioning—from a single product to gradually evolving into a complete ecosystem built around identity, growth, and distribution.

The 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 in the traditional sense. They previously co-founded the live-streaming platform DLive, which itself was a product highly reliant on community, creator incentives, and user growth. Harry Zhang had also been involved in projects like Lino Network. Therefore, they possess a strong internet product mindset regarding "how communities grow" and "why users stay."

This is also why Galxe, from the very beginning, didn't resemble a pure on-chain protocol but more like an internet growth product. It has a very distinct gamification structure: leveling systems, ranks, identity, points, task sequences, and continuous incentives—all mechanisms derived from proven growth experiences in the Web2 world. In a sense, what Galxe is doing is reintroducing Web2's growth logic into Web3.

Compared to many Web3 projects that emphasize "protocols," "decentralization," or "technical architecture," Galxe focuses more on user behavior itself. It doesn't attempt to change users through complex mechanisms but drives the conversion of users from observers to participants, and then to long-term retention, through lower barriers to entry, more continuous task structures, and clearer feedback mechanisms. Consequently, Galxe's subsequent product evolution path has consistently revolved around the same core: how to enable user behavior to be continuously recorded, verified, and reused.

Mechanism Analysis: Assetizing User Behavior

When many analyze Galxe, they easily focus on the Quest itself, as it's the most direct product form users see: project teams publish tasks, users complete actions like follows, retweets, community joins, or on-chain interactions, then receive NFTs, points, whitelist spots, or airdrop qualifications. However, if one stops at this level, it leads to understanding Galxe as a mere "task outsourcing tool," overlooking its true growth logic.

The key to Galxe is not getting users to complete a single, isolated task, but transforming these originally dispersed, short-term, non-reusable user actions into long-term identity data that can be recorded, verified, screened, and reused. In other words, the Quest is merely the entry point for users into the system; what truly settles is the user's behavioral resume across different projects, different chains, and different scenarios.

In traditional Web3 growth, airdrops and tasks often create a problem: users come for the reward, leave after completing the action, and project teams ultimately gain short-term data, not long-term relationships. For instance, a user might join a Discord for an airdrop today and complete a transaction for a whitelist tomorrow. After these tasks end, the behaviors often cease to generate value, and project teams find it difficult to judge whether the user is a genuine contributor, a short-term farm-bot, or a potential core user.

Galxe's approach is to turn each behavior into cumulative records—Credentials, OATs, Passports, Scores—ensuring user actions are not one-time consumables but enter a long-term identity account system. After completing a task, a user doesn't just "claim a reward"; they also gain an on-chain or off-chain record that can be showcased, verified, and invoked by subsequent activities.

This mechanism alters the user's psychological accounting of participation. In the past, users doing tasks were essentially performing growth actions for project teams. Within Galxe's system, while users complete tasks, they are also continuously enriching their identity records. A wallet that has participated in activities for ecosystems like Optimism, Linea, and Arbitrum likely holds a different weight compared to a brand-new empty wallet when it comes to future qualification acquisition, event access, or project recognition. Consequently, users gradually develop a "wallet nurturing" mindset: the richer my wallet's history, the more complete my participation records, and the more identity credentials I have, the higher my probability of gaining future benefits.

More importantly, this assetization of behavior serves not only users but also project teams. For project teams, what Galxe provides is not simple traffic, but a pool of users with tags, history, and screening capabilities. Project teams can filter users more aligned with their target audience based on their past on-chain interactions, community behavior, task completion status, and identity credentials. For example, a DeFi project might focus more on wallets that have used cross-chain bridges, DEXs, or lending protocols; a new L1 chain might want to find users who have participated in testnets, completed developer tasks, or have high-activity records; an NFT project might value collection history, community activity, and social propagation behavior more.

From this perspective, Galxe's moat isn't in the Quest page itself, as task pages, reward mechanisms, and NFT badges can be copied. What's truly difficult to replicate is the long-term accumulation of user identity data and behavioral networks. As more and more projects launch activities on Galxe, users' behavioral resumes become increasingly complete. As more and more users deposit their participation records on Galxe, project teams become more willing to use Galxe to filter target users. Ultimately, a mutually reinforcing growth relationship forms between the platform, projects, and users: more projects lead to richer behavioral data; richer data leads to more precise user filtering; more precise filtering leads to greater project reliance on the platform.

Gamified Growth Paths and Ecosystem Synergy

Another key capability of Galxe is that it doesn't design growth as a simple "complete task → claim reward" flow but reorganizes originally fragmented growth actions into a continuous behavioral system. Most Web3 projects, when pursuing growth, often fall into two extremes: either the barrier is too high, immediately requiring users to connect wallets, perform cross-chain transactions, trade, or provide liquidity; or the barrier is too low, only involving lightweight behaviors like follows, retweets, or community joins, ultimately failing to drive real product usage.

Galxe's cleverness lies in dissecting these behaviors into a gradually escalating task ladder, allowing users to transition from "observer" to "participant" to "ecosystem user" almost unconsciously.

This path typically begins with near-zero-cost social actions. For example, following official accounts, retweeting content, joining Discord, browsing project pages. The purpose of these tasks isn't to prove user quality but to first lower the psychological barrier for initial participation, expanding the reach of the activity. Once users complete these initial low-cost actions, Galxe can then use subsequent tasks to guide them to connect their wallets, claim NFTs, complete identity verification, or visit specified dApps. The goal at this stage is to shift users from Web2-style observation to Web3-style participation, converting social traffic into identifiable wallet users.

After users complete wallet connection and basic on-chain operations, tasks escalate to higher-value on-chain behaviors, such as cross-chain bridging, swaps, minting, lending, voting, staking, or using ecosystem applications. These behaviors are what truly matter to project teams, as they indicate not only user awareness but also willingness to invest time, pay gas costs, and take some operational risk. Galxe breaks down these complex actions into smaller, achievable goals through task sequences, providing users with feedback and rewards for each step, thereby reducing the psychological resistance associated with complex on-chain operations.

In a sense, Galxe is more like reorganizing growth behavior using gamification mechanics. Users aren't abruptly pushed toward high-barrier operations; instead, while continuously completing tasks, receiving feedback, and accumulating achievements, they gradually enter deeper ecosystem participation. This is also why Galxe's growth model often shows pronounced effectiveness in large-scale ecosystem campaigns.

Taking L2 or new L1 chain ecosystems as an example, the hardest part for an ecosystem isn't getting users to "know about it," but getting them to truly experience multiple applications within it. If relying solely on individual project promotion, users might only reach a cognitive level. However, through Galxe's task system, an ecosystem can package multiple applications into an exploration roadmap, guiding users to experience different modules like wallets, bridges, DEXs, NFT marketplaces, games, and social apps in a sequential order. This way, growth is no longer point-based user acquisition but becomes an organized ecosystem tour. While completing tasks, users effectively undergo ecosystem education, product trials, and behavioral sedimentation, while project teams simultaneously gain traffic, interaction data, and potential user screening.

At a deeper level, Galxe's task system also addresses the problem of "incentive-behavior misalignment" in Web3 growth. Many projects, when distributing rewards, can only broadly incentivize a single outcome, such as making one trade, minting one NFT, or joining a community. This easily attracts many low-quality users. Galxe's approach is to break down the outcome into a process, design the process into a path, and then match different rewards to different tiered behaviors. Low-barrier tasks offer light rewards; high-value tasks offer more scarce benefits; continuous task completion grants higher-level qualifications or identity credentials. This way, user quality is gradually screened during the task process: those only willing to retweet stay at the shallow level; those willing to connect wallets move to the intermediate level; and those willing to persistently interact and complete complex tasks become higher-value users.

Therefore, what Galxe does isn't just campaign operations; it's redesigning the participation path for Web3 users. It transforms the originally chaotic growth flow into a gamified system with entry points, progression, feedback, and screening. What users experience is task completion and reward acquisition, while what project teams gain is user education, behavior guidance, data sedimentation, and user segmentation.

The Data Flywheel and Platformization Strategy

As the product continuously evolves, Galxe is no longer content with just the Quest platform positioning. It has gradually introduced products like Passport, Starboard, Earndrop, and Gravity, aiming to cover the entire Web3 growth chain: Quest handles user behavior guidance, Passport handles identity verification, Starboard handles community data analytics and contributor identification, Earndrop handles reward distribution, and Gravity extends further into underlying infrastructure.

This means Galxe is transitioning from a task tool into a complete growth operating system.

The truly difficult-to-replicate aspect isn't the task page itself, but the data network and ecosystem network it is gradually forming. As more and more projects integrate, Galxe can accumulate increasingly rich user behavioral data, helping projects filter more precise user groups. As more and more users deposit their identities and historical behaviors, the user profiles on the platform become increasingly complete.

Ultimately, Galxe forms a classic platform flywheel: more projects lead to more users; more users lead to richer behavioral data; richer data leads to more precise user screening; more precise screening makes project teams more willing to continue investing growth resources on the platform.

In a sense, what Galxe aims to be is not the largest task platform in Web3, but more akin to Google Ads in the Web3 world—it isn't truly operating tasks, but rather the growth network built around identity, behavior, and distribution.

Conclusion

If the growth of Web3 in the past essentially remained in the "traffic-thinking" stage, then the emergence of Galxe signifies the industry's first genuine attempt to establish "identity-thinking." Over the past few years, numerous projects relied on airdrops, communities, and token incentives for cold starts, but the problems with this model are equally evident: users come for the rewards and leave when the rewards end; what projects gain is often short-term data, not long-term relationships.

What Galxe truly changes is that it begins to give user behavior continuous, accumulating value. A wallet is no longer just a one-time interaction tool but gradually becomes a long-term account with historical records, participation histories, and identity credibility. Which ecosystems a user has participated in, what behaviors they've completed, and whether they've been consistently active—all these gradually sediment into a verifiable, accumulable identity asset.

This is also why Galxe's value doesn't lie solely in Quest, NFTs, or airdrops themselves, but in its push to shift Web3's growth logic from "reward-driven" toward "identity-driven." As more and more projects begin designing growth around users' historical behaviors, and as more and more users start valuing their on-chain resumes over just short-term gains, the growth approach of Web3 will become entirely different from the past. Many see a task platform, but Galxe is more like building a new growth order: user behaviors are recorded long-term, identity value is accumulated continuously, and growth is no longer just one-off traffic transactions but gradually becomes a long-term relationship network built around identity.

Pertanyaan Terkait

QHow has Galxe evolved from a typical Quest platform to become a growth infrastructure in Web3?

AGalxe has evolved from a typical Quest platform to Web3 growth infrastructure by productizing, systematizing, and data-fying the previously fragmented, short-cycle, and non-reusable growth processes. It transforms isolated user activities into long-term, verifiable identity data through mechanisms like Credentials, OATs, Passport, and Score. This creates a platform where user behavior accumulates value over time, enabling projects to target users based on their historical on-chain and off-chain activities. By building a data network and ecosystem around identity and growth, Galxe functions as a foundational layer for user acquisition, screening, and engagement in Web3.

QWhat core growth problem in Web3 does Galxe aim to solve, and what was the inspiration behind its approach?

AGalxe aims to solve the core growth problem in Web3: the lack of mature user growth infrastructure akin to Web2 systems like Facebook Ads or Google Ads. Web3 projects struggle to identify real users, lack unified identity systems, and rely on fragmented methods like airdrops and community building, leading to short-term engagement rather than long-term user retention. The inspiration behind Galxe's approach comes from its founders' background in Web2 products like the live-streaming platform DLive, which relied heavily on community incentives and user growth. They applied proven Web2 growth logic—such as gamification, tiered task structures, and continuous feedback—to Web3, focusing on recording, verifying, and reusing user behavior.

QExplain the mechanism of 'user behavior assetization' in Galxe and its benefits for both users and projects.

AGalxe's 'user behavior assetization' mechanism converts scattered, short-term user actions into long-term, verifiable identity data recorded as Credentials, OATs, Passport, or Score. For users, this means their activities (e.g., participating in Quests, on-chain interactions) are no longer one-time actions but become part of a cumulative identity profile. This encourages 'account cultivation,' as a richer history increases the likelihood of future rewards and access. For projects, Galxe provides a filtered user pool tagged with historical behavior, allowing them to target specific user segments—like DeFi users, testnet participants, or NFT collectors—based on verified data, leading to more efficient and higher-quality growth campaigns.

QDescribe how Galxe uses gamification to design user growth paths and address the mismatch between incentives and user behavior in Web3.

AGalxe uses gamification to design a tiered growth path that guides users from low-cost social actions (e.g., following Twitter, joining Discord) to higher-value on-chain behaviors (e.g., swaps, minting, staking). This step-by-step approach lowers the psychological barrier to entry and provides continuous feedback and rewards. It addresses the Web3 incentive-behavior mismatch by aligning rewards with task complexity: lightweight tasks offer minor rewards, while complex tasks grant scarcer benefits or credentials. This naturally filters user quality, as only motivated users progress to high-value actions, ensuring projects attract engaged participants rather than mere airdrop hunters.

QWhat is the 'data flywheel' effect in Galxe's platform strategy, and how does it contribute to its defensibility as a growth infrastructure?

AThe 'data flywheel' effect in Galxe refers to a self-reinforcing cycle where more projects on the platform attract more users, whose accumulated behavior data enriches the user profiles, enabling better targeting for projects, which in turn attracts more projects to use Galxe. This network effect creates defensibility, as Galxe's value lies not in its Quest interface—which is easily replicable—but in the vast, interconnected ecosystem of user identity data and project relationships. By expanding into products like Passport (identity verification), Starboard (community analytics), and Earndrop (reward distribution), Galxe solidifies its role as a comprehensive growth operating system, making it difficult for competitors to replicate its data network and ecosystem synergy.

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Dari Token ke Tenaga Kerja Mesin: AI Sedang Berubah dari Alat Menjadi 'Pekerja'

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Diskon 99% untuk MiMo Bukan Hanya Pemasaran! Luo Fuli Membantah Para Pengecam di X

**Ringkasan:** Xiaomi MiMo memotong harga API MiMo-V2.5 hingga **99%**, memicu spekulasi tentang perang harga atau strategi merugi. Luo Fuli, kepala MiMo, merespons dengan mempublikasikan blog teknis 5000 kata yang merinci **enam pilar teknikal** di balik potongan harga besar ini. Intinya, diskon 99% terutama untuk **Input (Cache Hit)** – bagian dimana pengguna membaca ulang konteks historis dalam percakapan panjang. Ini menjadi mungkin karena serangkaian optimasi teknikal yang mengubah biaya komputasi untuk bagian tersebut mendekati nol. **Enam Pilar Teknikal:** 1. **Arsitektur Hybrid SWA:** Menggunakan Sliding Window Attention di sebagian besar lapisan model, mengurangi volume **KVCache** (memori jangka pendek model) hingga **1/7**. 2. **Manajemen KVCache Dua Kolam:** Mengalokasikan memori secara terpisah untuk lapisan SWA dan Full Attention, benar-benar mewujudkan penghematan teoretis 1/7 dan meningkatkan jumlah pengguna yang dapat dilayani secara bersamaan. 3. **Prefix Cache yang Dioptimalkan:** Meningkatkan aturan pencocokan cache untuk arsitektur SWA, menghasilkan **tingkat keberhasilan cache 93-95%** untuk pembacaan ulang. Artinya, sebagian besar permintaan "baca ulang" tidak memerlukan komputasi GPU baru. 4. **Sistem Cache Terdistribusi GCache:** Menyimpan data cache di **SSD bawaan mesin GPU**, menghilangkan biaya penyimpanan cluster khusus dan memperpanjang masa hidup cache. 5. **Sistem Penjadwalan LLM-Router:** Mengarahkan permintaan secara cerdas berdasarkan kesamaan prefix dan panjang konteks, memprioritaskan permintaan yang menggunakan cache, meningkatkan efisiensi dan mengurangi latensi. 6. **Multi-Token Prediction (MTP):** Mengoptimalkan proses generasi output model, mempercepat pembuatan respons dan melengkapi pengurangan biaya di sisi input. **Kesimpulan:** Penurunan harga 99% bukanlah gimmick pemasaran atau strategi merugi, tetapi hasil dari **efisiensi sistemik rekayasa AI** yang telah divalidasi di lingkungan produksi. Rantai optimasi ini secara kumulatif mengurangi biaya komputasi per permintaan hingga lebih dari 95%, memungkinkan penurunan harga ekstrem sambil mempertahankan profitabilitas. Luo Fuli menekankan bahwa ini adalah masalah teknikal yang terwujud, bukan sekadar perang harga.

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Diskon 99% untuk MiMo Bukan Hanya Pemasaran! Luo Fuli Membantah Para Pengecam di X

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