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A look at 12 Solana AI hackathon ideas
Original author: SEND AI
Original translation: Ismay, BlockBeats
Editor's note: On December 11, Solana announced the launch of the first Solana AI hackathon, which aims to build AI agents and tools on Solana. The prizes range from US$5,000 to US$30,000, and are intended to encourage serious Crypto x AI projects that can attract venture capital or launch their own tokens. This article is a list of twelve entrepreneurial directions for AI proposed by SEND AI, an AI project in the Solana ecosystem
1/ Agent's Shopify platform:
Problem: Agents are like applications. Just like the early stages of applications, Agents are currently fragmented and face discoverability issues.
Solution: Create an App Store for AI Agents:
–– Agents are mini apps.
–– Users can discover, install, and use these mini apps just like Shopify.
2/ Twitch Platform for AI Agents:
Problem: The rise of influencer agents requires a dedicated platform.
Solution: Create a dedicated streaming platform for AI activities:
–– Integrated AI moderators
–– Agents can directly launch or promote tokens
–– Viewers can directly buy and sell tokens based on interactions
Idea: Twitch for AI Agent: A streaming platform built specifically for AI activities and interactions, with integrated AI modules (an emergency protocol for immediate response to censorship), where agents can directly launch and promote tokens, and viewers can buy and sell based on interactions.
3/ Enhanced Agent Filters:
Problem: Traditional filters only support read-only functions.
Solution: Imagine a MEME coin screener (similar to @birdeye_so) where you can screen tokens and input metrics - then an AI Agent autonomously executes trades based on the selected strategy.
Idea: A screener designed for on-chain trading bots that allows quantitative traders to develop and optimize strategies using tailored on-chain metrics, specifically for decentralized ecosystems. Unlike traditional technical indicators such as moving averages, P/E ratios, or market capitalization, the platform leverages blockchain-specific data points such as FDV, Raydium pool creation, token liquidity, trading volume, and staking rewards. Users can quickly screen and filter tokens based on these on-chain metrics to identify high-potential assets. Ultimately, the platform simplifies the process of applying these conditions to on-chain trading bots, which can autonomously execute trades based on the selected strategy.
4/ Autonomous Trading Agent:
Problem: @aixbt_agent’s research is very solid, but it does not execute autonomous trades.
Solution: Imagine Aixbt, with the ability to execute autonomous trades based on real-time research/prices, using a funding account (with AUM that users can invest and withdraw).
Example: BabyDegen is an autonomous AI trading bot that uses advanced models and real-time data to make smart trading decisions. It collects market insights from sources like CoinGecko to ensure the timeliness of information. With access to a growing library of trading strategies from ecosystem developers, BabyDegen is able to select the most effective strategy based on market changes. It executes trades based on analysis and experience—buy, sell, or hold assets to optimize trading results.
5/ AI Agent-driven Telegram prediction market:
Problem: Betting with friends is fun, but setting up bets, collecting payments, and following up are cumbersome.
Solution: AI Agent turns small talk in Telegram groups into friendly bets, verifies the results (via Perplexity), and pays out USDC.
6/ Perplexity for Solana Operations:
Imagine a chat agent with an embedded wallet:
– Read: Act as a proxy for a Solana block explorer or terminal, such as Birdeye/Dexscreener.
– Write: Perform Solana transactions (e.g. buy MEME coins) using natural language.
Future Development: On-chain shopping assistant.
7/ Trust Market for Trading Agents:
Problem: The rise of trading agents requires proof of their trustworthiness.
Solution: Build a trust score or framework for trading agents (similar to Moody's ratings) to assess trust based on token recommendations and historical trading activity.
8/ DeFi Agent:
–– Personalized Agent: Execute DeFi trades for you based on your wallet history or tweets.
–– Market Making Agent: Dynamically set buy/sell prices based on Large Language Model (LLM) predictions.
–– Yield or Liquidity Provision (LP) Optimizing Agent.
–– Launching @sanctumso’s LSTs (Liquidity Proof Tokens).
9/ Agent Token Tools:
–– Deploy tokens based on prompts (can be social protocols like Warpcast/Clanker or ChatGPT-style interfaces).
–– On-chain registration of Agent tokens (similar to @JupiterExchange’s certified token list).
–– Autonomous lock-up, staking, etc.
10/ AI Agents and Consumer Crypto:
–– Health and fitness agents with @moonwalkfitness type accountability tracking.
–– Agents on social finance platforms, such as @tribedotrun.
–– Real World Commerce: Automatically research, book, and pay merchants, accept cryptocurrencies or pay via crypto cards.
11/ Agent Clusters or Multi-Agent Collaboration:
–– AgentDAO or Committee: Agents with different expertise collaborate, discuss, and execute transactions via multi-signature.
–– DeFiAgent-to-Agent Marketplace: Agents hire each other for specific tasks.
Related: LinkedIn for AI Agents.
12/ Multimodal personalized agent:
Use @ai16zdao’s Eliza framework and apply it to the following scenarios:
–– Cryptocurrency education
–– DeFi tutorial
–– DAO onboarding
Deployable on Discord, Telegram, and Twitter platforms.
13/ More radical ideas:
–– An agent creates its own LLC in an agent-friendly jurisdiction and operates its own business autonomously.
–– An on-chain detective, similar to @zachxbt, automatically analyzes transactions.
–– A group of agents collaborate to manipulate tokens to rise.
14/ In general, any AI Agent idea can be applied as long as it includes one or more of the following:
–– Access @solana data
–– Perform transactions via Solana wallet
–– Deploy tokens on Solana
These are just some of the ideas, and we look forward to seeing the implementation of minimum viable products (MVPs).
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Sun Valley Releases 2025 Financial Report: Bitcoin Mining Revenue Reaches $670 Million, Accelerating Transformation to AI Infrastructure Platform
On March 16, 2026, in Dallas, Texas, USA, CanGu Company (New York Stock Exchange code: CANG, hereinafter referred to as "CanGu" or the "Company") today announced its unaudited financial performance for the fourth quarter and full year ended December 31, 2025. As a btc-42">bitcoin mining enterprise relying on a globally operated layout and dedicated to building an integrated energy and AI computing power platform, CanGu is actively advancing its business transformation and infrastructure development.
• Financial Performance:
Total revenue for the full year 2025 was $688.1 million, with $179.5 million in the fourth quarter.
Bitcoin mining business revenue for the full year was $675.5 million, with $172.4 million in the fourth quarter.
Full-year adjusted EBITDA was $24.5 million, while the fourth quarter was -$156.3 million.
• Mining Operations and Costs:
A total of 6,594.6 bitcoins were mined throughout the year, averaging 18.07 bitcoins per day; of which 1,718.3 bitcoins were mined in the fourth quarter, averaging 18.68 bitcoins per day.
The average mining cost for the full year (excluding miner depreciation) was $79,707 per bitcoin, and for the fourth quarter, it was $84,552;
The all-in sustaining costs were $97,272 and $106,251 per bitcoin, respectively.
As of the end of December 2025, the company has cumulatively produced 7,528.4 bitcoins since entering the bitcoin mining business.
• Strategic Progress:
The company has completed the termination of the American Depositary Receipt (ADR) program and transitioned to a direct listing on the NYSE to enhance information transparency and align with its strategic direction, with a long-term goal of expanding its investor base.
CEO Paul Yu stated: "2025 marked the company's first full year as a bitcoin mining enterprise, characterized by rapid execution and structural reshaping. We completed a comprehensive adjustment of our asset system and established a globally distributed mining network. Additionally, the company introduced a new management team, further strengthening our capabilities and competitive advantage in the digital asset and energy infrastructure space. The completion of the NYSE direct listing and USD pricing also signifies our transformation into a global AI infrastructure company."
"As we enter 2026, the company will continue to optimize its balance sheet structure and enhance operational efficiency and cost resilience through adjustments to the miner portfolio. At the same time, we are advancing our strategic transformation into an AI infrastructure provider. Leveraging EcoHash, we will utilize our capabilities in scalable computing power and energy networks to provide cost-effective AI inference solutions. The relevant site transformations and product development are progressing simultaneously, and the company is well-positioned to sustain its execution in the new phase."
The company's Chief Financial Officer, Michael Zhang, stated: "By 2025, the company is expected to achieve significant revenue growth through its scaled mining operations. Despite recording a net loss of $452.8 million from ongoing operations, mainly due to one-time transformation costs and market-driven fair value adjustments, the company, from a financial perspective, will reduce its leverage, optimize its Bitcoin reserve strategy and liquidity management, introduce new capital to strengthen its financial position, and seize investment opportunities in high-potential areas such as AI infrastructure while navigating market volatility."
The total revenue for the fourth quarter was $1.795 billion. Of this, the Bitcoin mining business contributed $1.724 billion in revenue, generating 1,718.3 Bitcoins during the quarter. Revenue from the international automobile trading business was $4.8 million.
The total operating costs and expenses for the fourth quarter amounted to $4.56 billion, primarily attributed to expenses related to the Bitcoin mining business, as well as impairment of mining machines and fair value losses on Bitcoin collateral receivables.
This includes:
· Cost of Revenue (excluding depreciation): $1.553 billion
· Cost of Revenue (depreciation): $38.1 million
· Operating Expenses: $9.9 million (including related-party expenses of $1.1 million)
· Mining Machine Impairment Loss: $81.4 million
· Fair Value Loss on Bitcoin Collateral Receivables: $171.4 million
The operating loss for the fourth quarter was $276.6 million, a significant increase from a loss of $0.7 million in the same period of 2024, primarily due to the downward trend in Bitcoin prices.
The net loss from ongoing operations was $285 million, compared to a net profit of $2.4 million in the same period last year.
The adjusted EBITDA was -$156.3 million, compared to $2.4 million in the same period last year.
The total revenue for the full year was $6.881 billion. Of this, the revenue from the Bitcoin mining business was $6.755 billion, with a total output of 6,594.6 Bitcoins for the year. Revenue from the international automobile trading business was $9.8 million.
The total annual operating costs and expenses amount to $1.1 billion.
Specifically, they include:
· Revenue Cost (excluding depreciation): $543.3 million
· Revenue Cost (depreciation): $116.6 million
· Operating Expenses: $28.9 million (including related-party expenses of $1.1 million)
· Miner Impairment Loss: $338.3 million
· Bitcoin Collateral Receivable Fair Value Change Loss: $96.5 million
The full-year operating loss is $437.1 million. The continuing operations net loss is $452.8 million, while in 2024, there was a net profit of $4.8 million.
The 2025 non-GAAP adjusted net profit is $24.5 million (compared to $5.7 million in 2024). This measure does not include share-based compensation expenses; refer to "Use of Non-GAAP Financial Measures" for details.
As of December 31, 2025, the company's key assets and liabilities are as follows:
· Cash and Cash Equivalents: $41.2 million
· Bitcoin Collateral Receivable (Non-current, related party): $663.0 million
· Miner Net Value: $248.7 million
· Long-Term Debt (related party): $557.6 million
In February 2026, the company sold 4,451 bitcoins and repaid a portion of related-party long-term debt to reduce financial leverage and optimize the asset-liability structure.
As per the stock repurchase plan disclosed on March 13, 2025, as of December 31, 2025, the company had repurchased a total of 890,155 shares of Class A common stock for approximately $1.2 million.
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