Kaito, a Web3 content discovery protocol powered by AI, has launched a series of new integrations and reward programs across major platforms. These efforts focus on building a decentralized ecosystem where users earn rewards for creating and sharing valuable information.
Kaito Joins Bloomingbit’s “Share to Earn” Platform
On July 1, Kaito partnered with Bloomingbit, a social reward platform that pays users for sharing crypto content. As part of this integration, Kaito’s articles and research updates became eligible for Bloomingbit’s Share to Earn (STE) model.

Users who share Kaito content can now earn STAT tokens by generating clicks and engagement. Each shareable link includes a unique ID to track performance and reward contributors. This partnership positions Kaito’s data and research feeds directly inside a platform that rewards distribution, not just creation.
The integration aims to boost Kaito’s visibility while offering new income tools for its community. Bloomingbit users benefit from fresh, AI-curated content streams, while Kaito strengthens its reach in decentralized publishing.
Sonic Airdrop Uses Kaito’s Yapper System
In late June, Kaito also entered a key collaboration with Sonic, a layer-1 blockchain running an airdrop campaign for its native S-token. Sonic’s airdrop system now includes Kaito’s Yapper Leaderboard, which tracks social activity and ranks users based on engagement quality.

Participants who post about Sonic on platforms like X and Reddit can earn Yap points. These points convert into eligibility for Sonic’s token rewards. Kaito’s AI system measures sentiment, relevance, and influence, helping Sonic identify the most valuable contributors.

This system rewards social impact instead of simple activity. Projects using Kaito’s AI tools can prevent low-quality or spammy behavior from dominating campaigns.
Injective and Overtake Add Kaito to Community Campaigns
Two other Web3 platforms, Injective and Overtake, have also added Kaito to their user engagement programs.
In early June, Injective launched a social leaderboard for community builders and content creators. Powered by Kaito’s engagement-tracking tools, the leaderboard rewards users who post high-performing content about Injective’s network.
In parallel, Overtake introduced the “Kaito Yapping” feature in its AMA and community push. This setup encourages participants to share detailed, useful posts that increase protocol awareness. Kaito tracks these posts and ranks contributors based on content quality and user engagement.
These partnerships show that Kaito’s AI can be embedded into multiple campaigns, giving projects a way to manage community participation without hiring large marketing teams.
Strategy Focus: Turning Attention Into Value
Kaito continues to position itself as a Web3-native information engine. Instead of just distributing data, the protocol analyzes how content performs—and who makes it valuable.
Its Yapper Leaderboard ranks user contributions based on AI-scored impact. The Share to Earn model pays users when others read what they shared. And its cross-platform tools allow protocols to manage airdrops using real-time engagement data.
By combining AI, incentives, and decentralized distribution, Kaito is building infrastructure that links attention to value. This approach supports token launches, education efforts, and governance updates in a way that benefits both protocols and their communities.
Kaito’s model does not rely on price movement or trading. Instead, its tools are designed to support token ecosystems, news discovery, and long-term community growth. The project continues to onboard new partners in DeFi, L1 ecosystems, and AI-focused protocols.
These recent updates highlight how protocols increasingly use Kaito’s AI to automate reward programs and improve content quality. As more projects run social campaigns, Kaito’s scoring systems may become a standard tool for managing community-driven airdrops and content outreach.
Kaito Forms Bearish Rising Wedge, Could Drop 15% if Breakdown Confirms
The 4-hour Kaito/USDT chart from July 2, 2025, shows a bearish rising wedge pattern. This pattern usually forms when the price moves higher inside two upward-sloping lines, but the slope of the support line is steeper. It often leads to a breakdown and trend reversal.

If this wedge pattern confirms with a clear break below the support line, Kaito’s price may fall 15% from the current level of $1.57, targeting around $1.33.
Volume surged during the latest drop, showing strong seller activity. The big red candle broke below the wedge’s lower support but quickly bounced back, meaning the breakdown is not confirmed yet. However, pressure is building.
The 50 EMA sits at $1.52, and price is now hovering just above it. If Kaito closes below this level, it adds to the bearish case.
The RSI dropped from 70 to 50.74, signaling falling momentum. If RSI breaks under 50, it shows the trend may turn fully bearish.
In summary, watch the wedge’s lower boundary. A confirmed breakdown below it would open the way to $1.33. Until then, the bulls may still try to defend above the EMA.
Kaito MACD Shows Bearish Crossover Signal on July 2, 2025
The MACD chart for Kaito/USDT from July 2, 2025 shows a clear bearish crossover. This signal occurs when the blue MACD line crosses below the orange signal line. It often means that momentum is shifting from bullish to bearish.

In this case, the MACD line has dropped to 0.0279, while the signal line is higher at 0.0360. At the same time, the histogram has turned red and moved below zero, showing negative momentum is building.
This crossover follows several days of weakening green bars. The shift suggests that Kaito’s upward momentum has slowed down, and sellers are starting to take control. If this bearish momentum continues, it could support the earlier bearish rising wedge breakdown seen on the price chart.
In short, the MACD indicator confirms that Kaito may enter a short-term downtrend unless bulls quickly regain control. Keep an eye on the histogram for deeper red bars and the MACD line dropping further below the signal line.