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From Leek Glasses to On-Chain Bullet Screens and DEV Pumping, How Creative is the Solana Online Hackathon | Bee Network

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From Leek Glasses to On-Chain Bullet Screens and DEV Pumping, How Creative is the Solana Online Hackathon | Bee Network Login ट्रेंडिंग न्यूज़ मीम लॉन्चपैड एआई एजेंट डेस्सी टॉपचेनएक्सप्लोरर न्यूबी के लिए 100x सिक्के मधुमक्खी खेल आवश्यक वेबसाइटें एपीपी अवश्य होना चाहिए क्रिप्टो हस्तियाँ डेपिन नौसिखिया आवश्यक ट्रैप डिटेक्टर बुनियादी उपकरण उन्नत वेबसाइटें एक्सचेंजों एनएफटी उपकरण नमस्ते, साइन आउट वेब3 यूनिवर्स खेल डीऐप मधुमुखी का छत्ता बढ़ता हुआ मंच विज्ञापन खोज अंग्रेज़ी रिचार्ज सिक्के लॉग इन करें डाउनलोड करना वेब3 यूनी खेल डीऐप मधुमुखी का छत्ता विज्ञापन घर•विश्लेषण•From Leek Glasses to On-Chain Bullet Screens and DEV Pumping, How Creative is the Solana Online Hackathon From Leek Glasses to On-Chain Bullet Screens and DEV Pumping, How Creative is the Solana Online Hackathonविश्लेषण4 सप्ताह पहलेहाँव्याट 8,213 3 Author | Ethan (@ethanzhang_web3)

From January 20 to January 30, 2026, the Solana Online Hackathon officially took place, jointly initiated by Trends and the Solana Chinese community. As a fully online development event, this hackathon used X as the primary platform for project submission and showcase. Developers directly presented their projects to the community and judges for public review by posting project introductions, code, and demo links.

Unlike traditional hackathons that rely on a unified backend for submissions, this event adopted a more open participation model. Competing projects were showcased on a public timeline, allowing judges and community members to directly test, interact with, and provide feedback on them. This low-barrier, high-exposure selection mechanism led to a concentrated emergence of many product-oriented and experience-focused projects in a short period.

During the ten-day submission and review cycle, participating projects covered various directions including trading & strategy bots, Alpha discovery tools, internet capital markets, and consumer & entertainment applications. Compared to emphasizing grand narratives or underlying infrastructure, the projects that emerged from this hackathon focused more on real-world use cases, attempting to address long-standing issues such as trading efficiency, information noise, and user experience through AI, automation, and gamification.

The following is a detailed review by ओडेली of the award-winning projects from this Solana Online Hackathon.

Hackathon Champion The MM Hunter (Prize: $4,000) Project Demo Address: https://the-mm-hunter.vercel.app/

Github Repository: https://github.com/Dexless-AI1111/the-mm-hunter

परियोजना परिचय: The MM Hunter is a LightGBM-based order book quantitative trading project. It uses machine learning to analyze Binance order book structure and market maker behavior, and leverages the Orderly Network API to achieve automated trade execution.

Core Features:

Order Book Data Acquisition: Real-time retrieval of Orderbook depth data from Binance. ML Direction Prediction: Outputs three-class results (up/down/neutral) based on LightGBM. Automated Trading: Executes opening and closing positions via the Orderly Network API. TUI Real-time Monitoring: Displays trading status, positions, and PnL. Historical Backtesting: Supports strategy backtesting and validation based on historical data. Trading & Strategy Bots First Place: Peak Trading (Prize: 1300 USDC) Dev X Profile: https://x.com/0xkled

Project Demo Address: peak.kled.fun

परियोजना परिचय: An AI-driven professional trading terminal focused on the entire process of trading decisions, risk control, and review.

Core Features:

Automatic Trade Logging: Automatically records the complete context and strategy tags for each trade across multiple exchanges. Aggregated Risk Control: Unified monitoring of positions, margin, and risk exposure across multiple platforms. AI Order Validation: Provides risk assessment and suggestions before placing orders based on market conditions, OI, and personal historical data. AI Conversational Review: Post-trade conversational review, with statistics on the long-term performance of different strategies and signals. Second Place: Eagle & Dove Hunter (Prize: $800) Dev X Profile: https://x.com/bitares

Project Address: Not yet public.

परियोजना परिचय: An automated trading workflow built around macroeconomic data. It instantly parses official data sources upon key data releases, combines quantitative rules to determine market Risk-On / Risk-Off status, and automatically executes trades via the Binance API according to preset strategies.

Core Features:

Real-time Macro Data Parsing: Monitors official economic data sources (e.g., Labor Department, Commerce Department), fetching and parsing data immediately upon release. AI Risk Environment Judgment: Quantifies years of macro data trading experience into rules to assist in judging whether the current market is in a Risk-On or Risk-Off state. Automated Trade Execution: Directly connects to the Binance API to automatically place orders based on established strategies, supporting spot and futures trading. Automatic Trade Review: Automatically generates review reports after trades, recording entry time, price, and final profit/loss for strategy optimization. Multi-channel Notifications: Alerts and reviews are pushed simultaneously to Lark, Telegram, email, and WeCom. Third Place: MoonMate (Prize: $400) Dev X Profile: https://x.com/wab_hsu

Github Repository: https://github.com/Louis-XWB/moonmate

Feature Demo: https://www.youtube.com/watch?v=jBk7e667Vso

परियोजना परिचय: An AI trading companion with an engaging, companion-style experience. It combines quantitative trading capabilities with gamified design, utilizing a multi-Agent decision system, visualized decision flows, and emotional feedback to make the trading process more intuitive and engaging.

Core Features:

AI Committee Multi-Agent Decision System: Multiple AI Agents participate in decision-making, increasing the diversity of strategy judgments. Pet-style AI Assistant: A cute pet form that accompanies the trading process in real-time. Multi-market Support: Supports both CEX and DEX trading scenarios. Decision Flow Visualization: Displays the AI decision matrix via Decision Flow. बाज़ार Sentiment Perception: Supports whale tracking and social media sentiment analysis. Vibe Strategy System: Allows the AI to learn and understand the user’s trading preferences. Alpha Discovery औजारएस First Place: Chitu (Red Hare) (Prize: $1,300) Dev Address: https://x.com/bitcoinxsd

Project Address: chitu66.com

Feature Demo: https://www.youtube.com/watch?v=M0PkoCWjyMg

परियोजना परिचय: A Solana on-chain Alpha capture system for क्रिप्टो communities and research teams. It monitors large pools of smart money addresses in seconds, filters for on-chain consensus buy signals, and completes the full loop of alerting, verification, and dissemination within DingTalk.

Core Features:

Scalable Address Pool: Supports long-term monitoring and real-time alerts for pools ranging from hundreds to thousands or tens of thousands of addresses. Alerts with Information Pack: DingTalk messages directly include project descriptions and Twitter information (automatically scraped, AI-parsed, and auto-translated), allowing users to view wallet activity without needing to jump to another page. Automatic Diffusion upon Consensus Threshold: When recommendations reach a set threshold (e.g., ≥5 people), they are automatically pushed a second time to larger consensus groups or broadcast groups. Second Place: Voiverse (Prize: $800) Project X Profile: https://x.com/voiverse_ai

Project Address: https://t.me/Web3_Denoise_bot

परियोजना परिचय: An AI-powered information denoising and Alpha discovery tool. It monitors the entire web, aggressively filters out noise, and provides targeted pushes based on user profiles, helping users spend less time to obtain truly important information.

Core Features:

Full Web Monitoring: Continuously scans sources like X and Telegram, capturing Web3-related content 24/7. Aggressive Noise Filtering: Uses AI to filter out approximately 99% of invalid information, retaining only high-value content. Personalized Push: Distributes information based on user-defined profiles for personalization. Third Place: TradeCat (Prize: $400) Dev X Profile: https://x.com/123olp

Github Repository: https://github.com/tukuaiai/tradecat

परियोजना परिचय: An open-source multi-market Alpha toolbox that integrates data acquisition, indicator combination, rule-based signal generation, and Telegram interaction, covering the entire pipeline from analysis to signal push.

Core Features:

Multi-source & Historical Data Support: The platform provides massive historical data and supports fetching prediction market data. Indicator Combination & Signal Engine: Supports infinitely expandable indicator combinations, generates trading signals based on rules, and provides AI technical analysis capabilities (AI Wyckoff Analysis). Visualization & Interactive Output: Integrates data visualization, token queries, and delivers signals and analysis results interactively via Telegram. Internet Capital Markets First Place: Wallet Visualization Tool (Prize: $1,300) GitHub Repository: https://github.com/MilkBlock/PnlSphereCraft

Project Demo Address: http://pnl.cryproject.xyz/

परियोजना परिचय: A visualization tool that transforms Solana wallet data into video-based asset game visuals. Based on Ant.fun’s on-chain data, it dynamically presents holdings and PnL in an Agar.io style, making wallet status readable at a glance.

Core Features:

Address to Generated Video: Input a Solana wallet address to generate an Agar.io-style dynamic video. Each token is represented as a “ball,” with its size corresponding to asset weight and PnL performance. Automatic Visualization of Core Metrics: The video automatically displays key data such as Total PnL, Win Rate, and Best Performance. Dynamic Presentation Optimized for Sharing: Generates high-frame-rate animations based on precise on-chain data and video rendering technology, suitable for review and showcasing on social platforms. Second Place: Leek Vision (Prize: $800) Dev X Profile: https://x.com/0x7ohnson

Github Repository: https://github.com/7ohnson-byte/Leek-Vision/tree/main

परियोजना परिचय: A browser extension and tool platform for Web2 and Web3 users. It helps users establish a more intuitive value comparison between real-world spending and the on-chain world by mapping fiat prices on everyday web pages to crypto asset values in real-time.

Core Features:

Everything in Crypto Terms: Converts fiat prices on sites like Amazon, Taobao, and eBay into SOL, BTC, ETH, and BNB in real-time, with overlay or inline dual modes that adapt to the page. AI Research Report Assistant: Generates “mini research reports” for crypto projects with one click, outputting core use cases, key signals, and risk assessments in a three-column format, viewable in an independent pop-up. Interactive Electronic Pet: A pixel-style pet that resides in the browser, providing light companionship while browsing, and instantly summoning AI analysis in professional mode—two uses in one pet. Third Place: Sendit (Prize: $400) Github Repository: https://github.com/NotevenDe/sendit-extension

Chrome Web Store Extension Address: https://chromewebstore.google.com/detail/sendit/gaenciobhjkndbmcodbghpfkbaaacbcp

परियोजना परिचय: An omnichain chat tool that introduces “danmaku” (bullet comments) into trading scenarios. Natively supporting social integration for most trading platforms, it overlays discussions scattered across various platforms and group chats directly onto the K-line chart, transforming meme trading from a “single-player chart-watching” experience into a real-time interactive group game.

यह लेख इंटरनेट से लिया गया है: From Leek Glasses to On-Chain Bullet Screens and DEV Pumping, How Creative Was the Solana Online Hackathon?

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