GitHub - hieunc229/mailflare: Email for professionals and teams
Mailflare Mailflare is a self-hosted email inbox for custom domains, built on Cloudflare. Supports Resend , or AWS SES Screenshots Inbox Manage domains Manage inboxes Featured sponsors Want to support the mailflare? Start sponsoring What you can do - Domains
BUY ON STEAM / MODES / MAPS / TECH / ROADMAP / REPORT A BUG Rival gangs fight for control of Chicago. Pick a side, customize your weapons, and fight other players across six action-packed game modes. Spin the block and take over the streets in this chaotic
GitHub - getzep/graphiti: Build Real-Time Knowledge Graphs for AI Agents
Graphiti A Framework for Building Temporal Knowledge Graphs Note We're Hiring! Build context graphs that power reliable, personalized, fast production AI agents. Come build with us — we're hiring Engineers and Developer Relations folks. View open roles . ⭐
GitHub - lukasz-madon/awesome-remote-job: A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-
Awesome Remote Job A curated list of awesome remote working resources. Languages - English (default) - Español - Français - 简体中文 - 日本語 To contribute, click README.md and then the pencil icon. Make your changes and click the "Propose file change" button to
GitHub - tradingview/lightweight-charts: Performant financial charts built with HTML5 canvas
Lightweight Charts™ Demos | Documentation | Reddit TradingView Lightweight Charts™ are one of the smallest and fastest financial HTML5 charts. The Lightweight Charts™ library is the best choice for you if you want to display financial data as an interactive
GitHub - dylanpersonguy/OpenCharts: The Open Source TradingView Alternative — Free, self-hosted charting with custom Canvas 2D engine, 20+ i
📈 OpenCharts An open-source trading terminal that runs entirely in your browser — no backend to run, no signup, no API keys. Advanced charting · full drawing-tool suite · 8 indicators · watchlist · depth-of-market · order ticket · built-in paper-trading
[NeurIPS 2026] TT-VidT Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining https://arxiv.org/abs/2609.33419 Accepted at NeurIPS 2026 (main track). TT-VidT is a self-supervised video encoder built for motion . A DINOv3 ViT-B/16