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🔥 SandeepVashishtha / Eventra - Eventra is a comprehensive event management system that empo

GitHub热门项目 | Eventra is a comprehensive event management system that empowers organizers to create, manage, and track events seamlessly. Built with a modern tech stack featuring React frontend and Spring Boot backend, Eventra provides everything needed to run successful events from creation to post-event analytics. | Stars: 106 | 3 stars today | 语言: JavaScript

2026-05-31 原文 →
AI 资讯

Finishing What I Started: My Project Transformation Story

This is a submission for the [GitHub Finish-Up-A-Thon Challenge] What I Built LeadBotX is an AI-powered lead generation platform prototype designed to simulate how modern businesses can automatically discover, filter, and manage high-quality leads using intelligent automation workflows. This project is not just a simple frontend demo — it represents a revived college-level concept that I initially started earlier but left incomplete due to time constraints and complexity. For this challenge, I revisited the idea and transformed it into a fully structured SaaS-style frontend system with improved UI, better workflow representation, and a more realistic product-like experience. The main goal of LeadBotX is to visually demonstrate how an AI-based lead generation system works end-to-end in a real-world SaaS environment. Tech Stack This project was built using modern frontend technologies: React.js → Component-based UI structure CSS3 → Custom responsive styling system AOS (Animate On Scroll) → Smooth scroll animations Lucide Icons & React Icons → UI iconography GitHub Copilot → Assisted in code generation, debugging, and UI improvements Demo Source Code: https://github.com/Khushisingh-dev/LeadBotX Production Landing Page: https://lead-bot-x.vercel.app/ Before (Initial Version)- After (Final Version)- The Comeback Story This project originally started as a college-level concept during my development learning phase. At that time, I built only a basic structure and initial UI, but I was unable to complete it due to time limitations and complexity of the idea. It remained an unfinished project for a long time. When I came across this challenge, I decided to revisit LeadBotX and transform it into something more meaningful and complete. Instead of just polishing the UI, I focused on: Rebuilding the structure into a proper SaaS layout Improving workflow clarity and user journey Enhancing UI/UX consistency across all sections Making the product feel like a real-world AI tool prot

2026-05-31 原文 →
AI 资讯

My Trading Bot Tried to Execute the Same Trade Twice. That Became SafeAgent.

This is a submission for the GitHub Finish-Up-A-Thon Challenge The Bug That Doubled Real Trades On May 21, my live trading bot generated six duplicate execution attempts in one session. SafeAgent blocked all six. Without the guard: one duplicated a $1,350 sell another doubled a TQQQ position total duplicate transaction exposure: $3,653 That session changed how I think about AI agents, retries, and execution guarantees. What I Built SafeAgent is an exactly-once execution guard for AI agents and SaaS applications. It prevents duplicate payments, emails, trades, and webhook processing when retries fire after a timeout or crash. Live endpoint: https://safeagent-production.up.railway.app GitHub: https://github.com/azender1/SafeAgent PyPI: pip install safeagent-exec-guard The Comeback Story How it actually started Six months ago I was building two things at once: PeerPlay — a patented P2P wagering exchange for skill-based video game tournaments (USPTO provisional 63/914,036) — and a live QQQ/TQQQ momentum trading bot running on Alpaca Markets. Both hit the same bug. Contest verification agent times out, retries, settlement fires twice. Bot order fills, confirmation drops, retry fires, doubled position. Same failure mode. Different domain. Different models pushed me toward very different architectures during development. Some were fast but overconfident. The most useful moments came when a model explained why an approach was broken before I implemented it. That's part of why SafeAgent sat unfinished. Not just time — wrong turns that burned momentum. Why local idempotency fails Early versions used a local SQLite guard. It worked until it didn't: workers restart and the in-memory state is gone containers reschedule and replay from the last checkpoint retries land on a different machine entirely Exactly-once semantics require a durable coordination boundary outside the worker itself. That's what the hosted /claim endpoint provides — the claim lives on the server, not in the p

2026-05-31 原文 →
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