Xeet: The Next Evolution of InfoFi - From Mindshare to Meaningful Signal
How a new project is attempting to solve InfoFi's fundamental quality problem through reputation, network analysis, and mathematical incentive design
The Signal in the Noise
Something interesting happened on Crypto Twitter last week. For exactly 4 hours, a single word dominated the timeline. Not because of a major hack, regulatory news, or market pump, but because of an experiment in measuring what actually matters in information distribution.
That experiment was Xeet's Phase 1 "Signal" launch, and what it revealed about information networks in crypto might change how we think about influence, quality, and value in the attention economy.
The InfoFi Problem: When Attention Becomes Noise
The Information Finance space has evolved rapidly since Kaito pioneered mindshare tracking. Projects now spend millions trying to generate "buzz," influencers farm engagement for leaderboard positions, and the loudest voices often drown out the most valuable insights.
We've seen this movie before. Loud token promised to reward "mindshare," but quickly devolved into a race for volume over value. Without true utility or quality filters, it became exactly what Pons now calls "NoiseFi": a system where making noise matters more than making sense.
Kaito, while successful with $33-35M in annual revenue, faces similar challenges. Its mindshare-focused algorithm naturally favors high-volume English content creators, leaving regional voices and quality-focused creators struggling for recognition. A Polish crypto analyst writing two insightful posts about a project often gets overshadowed by someone posting dozens of repetitive takes for farming purposes.
This creates a paradox: regional creators often provide the most valuable marketing for projects by reaching entirely new audiences, yet they're systematically undervalued by current InfoFi metrics.
Enter Xeet: Phase 1 and the Unexpected Acceleration
@xeetdotai7 launched its "Signal" phase on June 21st with a simple referral mechanism designed to map crypto's social networks. The plan was to run for weeks. Instead, it exploded across Crypto Twitter in 4 hours, forcing an early shutdown.
Over 50,000 users registered. The timeline became saturated with boost links. Xeet hit #30 trending worldwide.
The speed caught everyone off guard, including the team. As Pons noted: "Europeans got screwed because we started it late on their Friday and ended it early on their Saturday morning." The team has promised a "make-good" for European participants, acknowledging the timing issues.
But the chaos served a purpose. This wasn't just viral marketing; it was data collection on a massive scale, mapping the actual connections between crypto accounts in ways that pure follower counts or engagement metrics can't capture.
The Mathematics of Quality: Decoding XeetScore
What makes Xeet potentially revolutionary isn't just its mission statement about "signal over noise"; it's the sophisticated mathematical framework they've developed to actually measure it.
The XeetScore formula reveals a complex system designed to solve InfoFi's core problems:
Inbound Score (I_u)
This measures how much quality attention your content attracts. It's heavily weighted (3x multiplier) and incorporates your Ethos credibility score plus any reputation bonuses. The system uses logarithmic scaling, meaning your first few clicks are worth much more than subsequent ones, preventing simple volume farming.
Outbound Score (O_u)
This tracks your supportive behavior when you boost others' content. It receives lower weighting than inbound (showing that creating valuable content matters more than just sharing), but still encourages community participation and mutual support.
Penalty Factor (P_u)
This is the anti-spam mechanism. If you over-share your referral links or exhibit bot-like behavior, your overall score gets progressively reduced. The penalty caps at 50%, so even heavy sharers aren't completely eliminated but are significantly disadvantaged.
Ethos Integration
Your credibility score from Ethos Network acts as a multiplier throughout the system. Users with high reputation (2000+ Ethos score) get a 10% bonus to all activities, while new or low-credibility accounts start at a disadvantage.
Minimum Floor
Everyone gets at least 50 points regardless of activity, ensuring newcomers aren't completely shut out while maintaining incentives for quality participation.
The genius is in the details. This isn't just tracking engagement; it's mathematically incentivizing the exact behaviors that create valuable information networks while penalizing the spam tactics that killed previous platforms.
BTW. funny thing is that @emilios_eth134 almost guessed what the formula would look like. Great job!
The Roadmap: Phases 2-4 and the Evolution of InfoFi
Based on the interface glimpses from Xeet's dashboard, we can speculate about the upcoming phases:
- Phase 2 (Brain icon): Likely focuses on content quality and insights. Moving beyond simple network mapping to evaluating the actual value of what people share and create.
- Phase 3 (Star icon): Could involve community curation or highlighting exceptional contributors. The star suggests recognition or rating systems.
- Phase 4 (Profile icon): Possibly the full XeetScore system and user profiles, creating a comprehensive reputation network that goes beyond simple social metrics.
Each phase appears designed to add layers of sophistication to information quality measurement.
Network Discovery: The Hidden Value of Peripheral Accounts
Perhaps Xeet's most intriguing insight comes from the network visualization generated during Phase 1. The graph reveals a familiar pattern: a dense central cluster of interconnected crypto accounts surrounded by scattered peripheral nodes.
To our European friends.
We have a "make-good" on your scoring since many of you missed the @xeetdotai7 boost period.
To avoid people gaming the system, we are not going to announce what that is until it is done.
In the meantime, Get those referrals while the referrals period lasts.
Quality referrals are what matter (i.e. High quality accounts and/or KOL's with a large following)
As you can see in the snippet below, bots continue to be a problem.
So far over 250k users have signed up for Xeet. A large portion of those are bots.
They are fairly easy to identify and we will clean them out.
Signal > Noise
This network structure suggests something profound about current InfoFi inefficiency. The central cluster (mainstream crypto influencers, VCs, and project founders) largely communicate within their own echo chamber. When 20 major accounts all tweet about the same project, they're often reaching the same audience.
The peripheral accounts tell a different story. These isolated nodes likely represent regional influencers, specialized communities, or niche experts who aren't part of the main crypto social graph but command genuine influence within their specific domains.
Hypothesis
A few tweets from top KOLs plus selected peripheral accounts might generate more real impact than 1000 posts from central cluster accounts discussing the same topic.
If this theory holds, current InfoFi systems are fundamentally inefficient, concentrating rewards on accounts with high interconnectedness rather than those with unique audience reach.
@Pons_ETH - would love to know if this interpretation of the network graph aligns with your findings from Phase 1 data
The Game-Changing Potential
This network analysis capability could revolutionize crypto marketing. Instead of paying premium rates for exposure within the same interconnected bubble, projects could identify and incentivize accounts that reach entirely untapped audiences.
Regional creators who thoughtfully analyze projects for their local communities could finally receive recognition proportional to their actual impact. Quality could become more valuable than quantity.
Cookie DAO has made strides in this direction, with regional creators reporting better recognition compared to Kaito's algorithm. But Xeet's mathematical approach to reputation weighting and network analysis suggests a more comprehensive solution.
Beyond Experimentation: Why This Time Might Be Different
The sophistication of Xeet's approach suggests this isn't another InfoFi experiment destined for the Loud token graveyard. The mathematical rigor, credibility integration, and network analysis capabilities indicate serious platform development rather than speculative token farming.
The team's rapid response to Phase 1 feedback (acknowledging timing issues, promising European make-goods, and preparing algorithm adjustments) shows adaptability that previous InfoFi projects lacked.
Most importantly, the focus on identifying overlooked value creators addresses a real market inefficiency. If Xeet can successfully surface regional voices and quality contributors currently invisible to traditional metrics, it creates genuine utility for both creators and projects.
Building Your Signal
The InfoFi landscape is evolving, and positioning yourself for this shift requires more than follower counts or engagement farming. Quality, credibility, and authentic audience connection are becoming the new metrics that matter.
If you found this analysis valuable and want to be part of the next evolution of information networks, consider joining Xeet while the algorithm is still learning.
This is especially important for large accounts. What if Xeet Score becomes the new standard for KOL collaborations?
You don't want to be outside that system.
The data being collected now could influence positioning in future phases, and early participation in quality-focused platforms often creates compound advantages.
Finally, if this breakdown provided useful insights into the changing InfoFi landscape, I'd appreciate your feedback on my Ethos profile.
Your review takes a minute, but it shows me what is valuable in what I do, so I know what I should focus on when creating content.
What's your take on this analysis?
Do you see Xeet as a genuine evolution that could disrupt current InfoFi platforms, or just another experiment destined for the graveyard? Are there aspects of the network analysis or mathematical approach that I missed?
The future of InfoFi isn't about making more noise; it's about making the right signal heard by the right people. Xeet might just be the platform to make that happen.