If I Were the Founder of Kaito, How Would InfoFi 2.0 Survive?

Key Takeaways

• InfoFi’s collapse highlighted the dangers of relying heavily on centralized platforms.
• The InfoFi project faces five options for survival, including shutdown or transformation.
• InfoFi 2.0 could evolve into a more focused and controlled model with better quality management.
• Fundamental challenges include establishing fair reward systems and maintaining token value.

WEEX Crypto News, 2026-01-20 15:36:08

The rapid downfall of InfoFi within a mere three days serves as a cautionary tale for the Web3 ecosystem, unraveling the over-dependence on centralized platforms and the pitfalls of incentive systems. InfoFi, like many Web3 projects, bet heavily on one primary platform—X—to fuel its operations. When X decided to prohibit apps offering rewards for posts, it effectively severed InfoFi’s lifeline. What followed was a dramatic plunge in the project’s ecosystem, tarnishing the market confidence in such models. Kaito’s rushed response to X’s notice and the subsequent fallout is a vivid reminder of the volatile nature of the crypto realm.

The Crucial Challenge: How Did We Get Here?

On January 15, a simple yet potent update from X’s product lead, Nikita Bier, shook the foundation of InfoFi. His announcement to disallow reward-based posts acted like a sudden storm wiping out InfoFi’s operational basis. For Yu Hu, Kaito’s founder, it was akin to watching a meticulously set stage crumble in real-time.

The road to this point began on January 13, when Kaito got a rather obscure email hinting at an audit. A day later, things got intense with a formal legal notice, prompting a legal reply in haste. Despite this back-and-forth scrambling, January 15’s public revelation left Kaito—and the wider InfoFi space—adrift.

Against the backdrop of such turbulence, Kaito’s market value plummeted, leaving criticism in its wake. The community questioned the team’s foresight and their proclaimed contingency strategies. In trying to clarify, Kaito emphasized that past negotiations with X had always led to agreements, hence their initial patience in seeking resolution. Yet, as harsh as the clarity may be, InfoFi learned abruptly that a single centralized policy shift was enough to unravel their entire operation.

Options on the Table: Navigating the Post-Collapse Landscape

For projects like Kaito, facing an existential decision point, the path forward is fraught with complexity. A fresh exploration into potential trajectories for InfoFi reveals potential avenues beyond the immediate chaos.

Shutting Down: The Simplest Path

An all-too-real option for many is simply to cease operations and allocate remaining resources to mitigate financial losses. With the core model anchored to X now dissolved, pursuing a new operational direction could be viewed as futile. This pragmatic approach may see numerous small to medium InfoFi projects opting to retrieve some value from residual data assets through liquidation, rather than emulate the futile gestures of the past setups.

Embracing a Reward-Based Task Model

Another practical alternative emerges from pivoting towards a classic task-based reward system—akin to early digital task platforms. Here, KOLs (Key Opinion Leaders) engage voluntarily while their work undergoes manual oversight. This human-centric processing, though a retreat from automated solutions, provides a semblance of certainty amidst tightening platform rules.

Such an approach may lean into success stories from tailored reward tasks previously demonstrated by platforms like Scribble. The unfolding process, which requires sending in content for review and reward post-approval, sacrifices instantaneous results for enhanced control. Yet, inherent risks persist—high rejection rates may deter KOLs, rendering retention challenging.

The Korean “Brand Blog” Approach

Borrowing strategies from the Korean “brand blog” formula offers an alternate pathway towards organized engagement. Here, InfoFi projects might select KOLs beforehand based on prior performances and metrics like follower size, ensuring lower creative left-behind rates for contributors while solidifying higher quality standards for the project outcome. Content guidelines become explicit, overseeing interactions and revisions to foster alignment and heightened ownership.

Prospective creators benefit from guaranteed compensation upon delivering designated standards, thus minimizing fruitless labor. For project teams, managing screened collaborations might enhance quality assurance, elevating compliant operations and reducing content unreliability.

Expanding Across Multiple Platforms

Navigating beyond X’s constraints could steer InfoFi towards richer user bases across platforms like YouTube, TikTok, and Instagram—each with distinct distribution paradigms ripe with untapped potential. Diversifying audience outreach might appease the growth ambitions hindered by single-platform dependency.

Operating within multiple ecosystems, though resource-intensive, centralizes neither audience risk nor operational vulnerabilities. However, the increased complexity mandates evolving operational expertise, marked by content quality influences and variable API accessibilities from platform to platform, reminiscent of starting anew.

Transforming into an MCN-style KOL Management Model

Rethinking the relationship with KOLs through a Web2-inspired MCN (Multi-Channel Network) model suggests formalizing interactions beyond voluntary participation. Within Web3’s intense focus on brand narrative, aligning commercial value directly with influencer influence can craft powerful fund mobilization.

Pioneering InfoFi ventures already nurturing KOL ecosystems—now reinforced under formal agreements—utilize data-backed insights for orchestrating content cadence and strategic alignment. Additionally, such partnerships fortify exchanges across Web3 realms, with heightened expectations surrounding data-fueled decision-making and tailored Go-To-Market strategies, although imposing escalated demands for effective management systems and resource dictates.

The Rise of InfoFi 2.0: Reimagining the Fundamentals

Amidst these potential redirections, the rise of InfoFi 2.0 suggests a pivot towards meticulous quality control within a refined, deliberate framework—torpid expansion yields to an intricate partnership network, embroiled in integrated marketing initiatives aligned with global-to-local outreach strategies. However, core dilemmas linger starkly.

Amidst reward gaming tendencies eroding incentive fairness, InfoFi creators like Joel Mun advocate reevaluating sustainable reward architectures beyond game-exploitable margins, lest content degrades into exploitable chaff. Unchecked negative feedback loops promise ecosystem descension unless foundational dynamics shift.

Equally, innocence through “staking airdrops” and romantic narratives of faith strains token value perceptions without grounded utility. As David questions resonantly, InfoFi’s assured continuation depends on decisive investor assurance mechanisms capable of inspiring cryptocurrency interests beyond speculative trends.

To recalibrate, InfoFi’s ascent hinges on remedying incentive fidelity dilemmas and restoring titular value—critical imperatives demanding profound solutions cementing infallible, fair structures fostering long-tenured enterprise viability, culminating in intact sustainability aligning investor-contributor trust networks authentically intertwined with enriched ecosystem demands.

FAQ

What caused InfoFi’s sudden collapse?

The collapse was instigated by a policy change from X’s product lead, which prohibited apps offering reward-based postings, effectively crippling InfoFi’s entire model.

What are potential survival strategies for InfoFi 2.0?

Potential ways forward include embracing task-based rewards, adopting a Korean blogging model, engaging with multiple platforms, or transitioning to a structured MCN-style KOL management.

How can InfoFi overcome dependency on centralized platforms?

By expanding across multiple platforms and diversifying content engagement frameworks, InfoFi can reduce reliance on a single centralized platform and enhance operational resilience.

What are the main challenges still facing InfoFi?

Central issues involve constructing a fair reward system immune to gaming and establishing a solid basis for InfoFi’s token value beyond transitional staking and narrative speculation.

How can InfoFi ensure content quality moving forward?

A shift towards stringent, curated collaboration, better screening processes, and enhanced management models concentrating on data-driven decisions could ensure high content quality in InfoFi 2.0.