Dwarves Foundation

WHY MOST SYSTEMS BREAK WHEN THEY SCALE (AND HOW TO FIX IT) Scaling works — until the database becomes the problem. More users, bigger datasets, and complex integrations start to strain the system. Performance drops, reporting slows down, and inconsistencies creep in. Sound familiar? WHAT GOES WRONG: → Databases grow beyond the original design. → Poor repository structure leads to lost changes. → Outdated versions cause integration failures. → Refactoring breaks dependent services. HOW WE FIXED IT: - Knowledge sharing: Developers and DBAs aligned through centralized documentation and real-time feedback. - Structured repositories: Every change tracked and versioned, making rollbacks easy and painless. - Continuous integration: Early conflict detection stops problems before they reach production. - Controlled refactoring: Managed updates prevent breaking downstream services. EXAMPLE: A financial services company fixed transaction mismatches by simulating the issue, identifying a schema error, and applying a quick migration fix. Growth brings pressure — how you handle change defines success. See how we scale systems without losing stability: https://lnkd.in/gSxnU9N9 #database #systemdesign #softwaredevelopment

SCREENZ.AI x DWARVES: AI-POWERED HIRING IN TWO WEEKS Hiring is slow and inconsistent. In just two weeks, Thanh Pham, XUAN ANH NGUYEN, and the team built an AI-driven voice interview system for Screenz.ai — cutting screening time by 30% and ensuring consistent, bias-free evaluations. Faster hires, better picks — and more time for strategic work. WHAT WE BUILT & THE IMPACT - Automated voice interviews: AI processed interviews in real-time, cutting screening time by 30%. - AI-driven evaluations: Structured scoring reduced bias, improving evaluation consistency by 20%. - Scalable architecture: Serverless backend (Next.js, TimescaleDB) ready for future video integration. - Instant insights: ReTool dashboards give recruiters immediate feedback to refine hiring strategies. HOW WE BUILT IT FAST We delivered the project in two weeks, half the expected time — by focusing on three key areas: - Agile approach: Broke work into small chunks with daily check-ins for quick adjustments. - Leveraging existing tech: Integrated ElevenLabs’ AI voice processing and ReTool for scoring and dashboards. - Team execution: Tom handled backend; Thanh built AI; Nikki managed client communication. WHAT WE LEARNED & WHAT’S NEXT - Handling silence: Added better prompts and time limits to prevent stalled interviews. - Expanding to video: Adding video data for better candidate assessment. - Role-based AI agents: Tailoring assessments to specific roles for more accurate results. WHAT OUR CLIENT THINKS OF US “Working with Dwarves Foundation was outstanding. Nikki Ngoc Truong quickly pulled together a skilled team and delivered a project spec in half the expected time. XUAN ANH NGUYEN led our interview project with expertise and kept us on track for a two-week launch. Thanh Pham built a fast, clean AI app with a ReTool dashboard that streamlined our work. Fast, reliable, and proactive — I’d work with them again and highly recommend them.” — Rob, COO @Screenz.ai Ready to make things simpler and better? Let’s chat about what we can create together at [email protected]. Read how we did it: https://lnkd.in/dbs3e59r #AI #consulting #startup #softwaredevelopment

CONSULTING SNAPSHOT #9: Bybit’s Security Test, Claude 3.7’s AI Upgrade, and the Evolution of OpenArt This week, Claude 3.7 Sonnet refines AI capabilities, DeepSeek gains traction in open-source AI, and Bybit’s $1.5B hack raises fresh concerns about DeFi security. With Uniswap securing a regulatory win, the balance between innovation and risk is being redrawn — where does the industry go from here? 1/ Trust & Risk in AI: - Perplexity’s R1 1776 strips censorship from DeepSeek’s model, aiming for more transparent AI. - Claude 3.7 Sonnet enters the AI race, promising smarter, faster reasoning. - Grok 3 by xAI sparks debate: Are we seeing true intelligence or just better pattern matching? - Apple Vision Pro’s AI upgrade in April will shape the future of mixed reality. 2/ Blockchain’s tough reality check: - Bybit’s $1.5B hack is a reminder that security is never optional. Their CEO says they’ll cover the losses, but what does this mean for user trust? - SEC drops its case against Uniswap, signaling a shift in how regulators approach DeFi. - Hong Kong is going all-in on crypto, betting big while other regions hesitate. - Binance launches ‘Super Earn’, making crypto staking more rewarding — but with a catch. 3/ Where the money’s moving: - $50M just poured into blockchain security — investors are prioritizing infrastructure, not just hype. - Nvidia’s revenue jumps 80%, proving that the demand for AI chips is shaping the industry. - Kredivo and Gajigesa’s $12M deal blends blockchain with lending, changing how Southeast Asia borrows money. DeFi’s security gaps are shaking investor confidence, while AI’s open-source push raises trust vs. risk debates. With regulation lagging, the real question isn’t who moves first but who moves wisely. Read the report: https://lnkd.in/g6_zjcEK _ Weekly consulting snapshot - your go-to brief for tech and business shifts. Dwarves Notes (https://memo.d.foundation/) combine our team’s collective know-hows, R&Ds, and operation approaches. Connect and learn alongside other tech fellows: - Discord: discord.gg/dwarvesv - Github: https://lnkd.in/gZZ2eZMu - Website: https://d.foundation

DWARVES MONTHLY ROUND-UP: FEBRUARY 2025 We kicked off 2025 with a solid push — hybrid work in action, ICY gearing up for BTC, and new engineering updates rolling out while we keep refining our tech stack. Here’s what’s been happening: - Embracing hybrid mode: Structured office days, workspace upgrades, rollout of the office-lover role, and stronger team alignment. - Finalizing the ICY to BTC transition: First demo completed, final testing before launch. - Tech signals locked in: AI agents shifting to dev workflows, blockchain automation trends, and talent market shifts. - Engineering use case updates: AI agents, real-time trading analytics, and security upgrades. - Launching skip-level meetings with the CEO: A space for direct conversations on challenges and opportunities. - Keeping team well-being in check: Annual health checkups and insurance renewal in progress. - New Year gathering: Reunited to start 2025 with stories and vibes. Plenty to build on as March ramps up. Read here for Feb release: https://lnkd.in/gttG8_Kj

Case-study: How We Optimized Hedge Foundation's UI for Better Investment Decisions We've just completed a major UI overhaul for Hedge Foundation's blockchain-based hedge fund platform with a business-first approach to transform complex financial data into intuitive visualizations that drive faster, better investment decisions. 1/ Measurable business results: - 30% faster investment decisions: Centralized dashboard eliminated multi-screen navigation, directly impacting trade execution speed. - 20% error reduction: AI-validated design (90-96% accuracy) ensures critical data receives immediate attention. - 18% increase in pattern recognition: Optimized visualization enables earlier identification of market opportunities. - Improved capital efficiency: Visual hierarchy optimizations help portfolio managers identify opportunities faster and minimize missed trades. 2/ Design solutions: - Command center design: Consolidated BTC Dominance, Market Trends, AUM, and Volatility metrics onto a single actionable dashboard. - Executive-level data architecture: Strategic color coding instantly communicates market conditions, with severity indicators for declines. - Decision-optimized charts: Purpose-built visualizations for specific investment decisions - trend analysis for entry/exit points and portfolio performance tracking. The platform now serves as a strategic asset that directly impacts investment performance and risk management capabilities. Read the full case study for insights into our process & results: https://lnkd.in/gjeP2RyG

CONSULTING SNAPSHOT #8: OPEN-SOURCE AI, DEFI SECURITY BREACH, AND GROK-3’S CLAIMS It’s been a week of big moves and hard lessons across AI, blockchain, and security. Open-source AI models are pushing boundaries, but trust is still a work in progress. Meanwhile, DeFi took another hit, proving once again that security isn’t optional. The trust equation in AI - Perplexity released R1 1776, stripping censorship from DeepSeek’s model to make AI more transparent. - Elon’s Grok-3 claims “human reasoning”, but is it actual intelligence or just better guesswork? - Perplexity’s Deep Research AI wants to change how we find information, replacing search with AI-driven insights. DeFi’s reality check - Cardex lost $400K to an exploit—just another reminder that DeFi security still has a long way to go. - Meanwhile, Hong Kong is doubling down on crypto, betting on digital assets while regulators elsewhere tighten their grip. Follow the funding - $50M just went into blockchain security. Investors aren’t just chasing hype—they’re betting that the next wave of Web3 will be built on trust and resilience. What’s driving the shift? Will AI earn trust before regulation steps in? And can DeFi scale without breaking? Explore the full findings: https://lnkd.in/gVPU3W74 #technews #AI #dwarves __ Weekly consulting snapshot - your go-to brief for tech and business shifts. Dwarves Notes (https://memo.d.foundation/) combine our team’s collective know-hows, R&Ds, and operation approaches. Connect and learn alongside other tech fellows: - Discord: discord.gg/dwarvesv - Github: https://lnkd.in/gZZ2eZMu - Website: https://d.foundation

DWARVES FORWARD ENGINEERING 2024-2025 Workflows aren’t what they used to be. AI is shifting from sidekick to the one getting things done. Companies are running leaner teams, and putting automation at the core of operations, not as an afterthought. Dwarves Forward Engineering 2024 is built on that mindset—eliminating inefficiencies, automating where it matters, and scaling with purpose. This update covers what we’ve built, what’s in progress, and the market trends driving change. 1/ WHAT WE'VE BUILT Tech discussions from our network - AI-assisted coding: Aider, Cursor, and smarter prompt workflows. - AI-driven blockchain tracking: automating on-chain decisions and logging. - Performance tuning at scale: optimizing DuckDB, faster queries, handling high-volume workloads. Memo knowledge base - Consulting reports: from Gemini 2.0 to DeepSeek’s market impact. - Blockchain engineering: transfer tracking & BTC/Altcoin performance analysis. - Data solutions: archive strategies & PnL reconstruction. 2/ WHAT WE'RE BUILDING AI in development - Coding assistants: refining workflows with Aider and Cursor, improving prompt accuracy. - AI agents: moving beyond simple queries - structured prompts, AI models making real decisions. Performance & data - System optimization: DuckDB tuning, query performance, managing high-volume data. - AI-powered blockchain tracking: enhancing transaction visibility and security. Frontend & Infrastructure - Next-gen frontend tools: React 19 Actions, Next.js on Deno, AI-integrated UI. 3/ MARKET REPORT: AI AGENTS, HIRING TRENDS & CAPITAL SHIFTS AI agents: from no-code to full control - Engineers are moving past no-code AI tools, demand for self-hosted AI is rising. - Model context protocol (MCP) is making AI more responsive and workflow-aware. - AI is no longer just responding, it’s executing: pulling data, making calls, and automating tasks. Hiring trends: AI skills over headcount - AI is replacing repetitive coding - debugging and system-level thinking are in demand. - Remote remains dominant, but leadership roles are shifting hybrid. - AI literacy isn’t optional - knowing how to use AI effectively is the real differentiator. Market moves: Where the money’s going - AI remains the VC magnet, but infrastructure and automation are where the real scaling happens. - China and Korea are pulling back, prioritizing cost-effective strategies. - Blockchain is pivoting: AI-powered DeFi and decentralized computing are the new focus. Read more: https://lnkd.in/g2DFVZNQ Connect and learn alongside other tech fellows: discord.gg/dwarvesv

SCALING PROJECT MANAGEMENT WITH AI: A TECHNICAL USE CASE Managing projects means juggling tasks, coordinating teams, and tracking updates. The challenge is reducing friction in how teams interact with their tools. We built a chatbot agent that brings everything into one conversation, making project management feel natural. What it does - Turns rough ideas into structured project plans and proposals. - Handles task creation, deadline tracking, and progress updates. - Answers questions and suggests next steps based on project context. Why it matters - Teams stay in their workflow, and there is no more tool switching. - Less time on admin work, more on actual projects. - Handles growing complexity as teams and projects scale. How we built it - AI-powered agent system that delegates tasks across specialized project modules. - Live tracking and optimization to monitor chatbot performance and refine responses. - Seamless integration with existing project management tools to ensure a smooth experience. What’s next? - Real-time knowledge access to provide more relevant and context-aware responses. - Improved personalization to adapt to individual user preferences and workflows. - Stronger automation to simplify repetitive tasks and further optimize team efficiency. Full breakdown here: https://lnkd.in/g2e4_ect #CaseStudy #agents #AI #dwarves __ Dwarves Notes (https://memo.d.foundation/) combine our team’s collective know-hows, R&Ds, and operation approaches. Connect and learn alongside other tech fellows: - Discord: discord.gg/dwarvesv - Github: https://lnkd.in/gZZ2eZMu - Website: https://d.foundation

CONSULTING SNAPSHOT #7: AI COSTS DROP 10x, LYFT'S ROBOTAXI PUSH, SOLANA ETF MOVES AI compute costs are down 10x, making advanced models more accessible. Lyft is pushing for driverless rides by 2026, betting on autonomous mobility. Meanwhile, the SEC is reviewing Solana ETF applications, signaling growing institutional interest in crypto. Top AI tools & cost shifts - AI infrastructure costs drop 10x, opening access to more industries. - ToolJet launches open-source platform for enterprise tools. Figr Identity automates design systems with AI. - TestSprite cuts QA cycles with AI testing automation. Market movements - Lyft partners with Mobileye for 2026 robotaxi launch in Dallas. - Proton brings Bitcoin wallet to 100M users. - SEC reviews more Solana ETF applications. - Ethereum's Pectra upgrade enters testnet. Technical developments - Lido v3 introduces stVaults for flexible ETH staking. - New music AI models reshape composition workflows. - Py3-TTS simplifies voice synthesis integration. - Debate rises over autonomous AI agent development. AI is getting cheaper, automation is scaling, and blockchain is gaining institutional traction. Opportunities are shifting, leaner operations, smarter automation, and strategic investments are key. Catch the full report here: https://lnkd.in/gnAB2EvU #blockchain #marketreport #software #dwarves __ Weekly consulting snapshot - your go-to brief for tech and business shifts. Dwarves Notes (https://memo.d.foundation/) combine our team’s collective know-hows, R&Ds, and operation approaches. Connect and learn alongside other tech fellows: - Discord: discord.gg/dwarvesv - Github: https://lnkd.in/gZZ2eZMu - Website: https://d.foundation

BUILDING DATA ARCHIVE & RECOVERY FOR TRADING SYSTEMS High-frequency trading generates millions of transactions — driving up storage costs, slowing queries, and making recovery complex. Our archive-first approach keeps performance steady while ensuring historical data remains accessible when needed. What we built - Archive system handling 4.5M transactions (~9GB) per trading cycle. - Recovery workflow for historical data reprocessing and validation. - Metadata system for quick archive lookups without loading full datasets. - Dedicated compute environment to process and restore archived data without disrupting production. Core Components - Production flow: Real-time transactions → data lake → PostgreSQL. - Archive process: 3-month cycle → encrypted archives → cloud storage. - Recovery system: admin request → archive retrieval → analysis instance. Key benefits - Cost-efficient storage for long-term data retention. - No performance hit: archive old data, keep live queries fast. - Regulatory & audit-ready: easily retrieve historical records. - Cleaner data: reprocessed for accuracy, reducing system inconsistencies. Full technical implementation: https://lnkd.in/g6987gjV #Blockchain #finance #database #dwarves __ Dwarves Notes (https://memo.d.foundation/) combine our team’s collective know-hows, R&Ds, and operation approaches. Connect and learn alongside other tech fellows: - Discord: discord.gg/dwarvesv - Github: https://lnkd.in/gZZ2eZMu - Website: https://d.foundation