Sky Singh

Sharkbucks provides a platform which helps bridging the gap between investors and SMEs (Small and Medium Enterprises), making it easier, faster, and safer for both parties to connect and transact. Here's how Sharkbucks solves key challenges: Many SMEs struggle to access competitive funding options. Sharkbucks offers SMEs a platform where they can easily find competitive loan offers tailored to their needs, improving their access to capital. The platform uses a finely-tuned Machine Learning model to match SMEs with compatible investors, ensuring better investment outcomes for both parties. This reduces the guesswork and improves the chances of successful funding. By integrating Aptos for secure, on-chain payments, Sharkbucks provides a trustless and scalable payment mechanism, ensuring that transactions are fast, transparent, and safe. With the help of NLP-based chatbots via PLOTCH.ai, users can quickly navigate government schemes and find relevant investment opportunities or loan options, making the platform more user-friendly and efficient.

On-call engineers face constant interruptions, sleep deprivation, and alert fatigue from managing production incidents 24/7. Current incident response relies heavily on manual intervention - engineers must wake up at 3 AM, analyze logs across multiple systems, diagnose issues, and execute remediation steps while under pressure. How DreamOps Solves This Core Features: Automated Incident Response: AI agent automatically triages and resolves common incidents (pod crashes, OOM kills, configuration issues) without human intervention Intelligent Root Cause Analysis: Uses Claude AI to analyze alerts with full context from Kubernetes, logs, metrics, and documentation Reduced MTTR: What typically takes 30-60 minutes of manual debugging can be resolved in 2-5 minutes automatically Context-Aware Decisions: Integrates with GitHub, Grafana, and Notion to understand your specific infrastructure and runbooks Sleep Protection: Engineers can actually rest while the AI handles routine incidents, only escalating complex issues Real-World Impact: Saves 2-4 hours per on-call shift Reduces incident resolution time by 80% for common issues Prevents engineer burnout from repetitive tasks Maintains consistent remediation quality even at 3 AM