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Trends
- 1
GhostTrack, a Python-based tool published on GitHub under the account HunxByts, describes itself as a utility for tracking locations or mobile numbers. The repository has been circulating widely among developers, drawing both interest in its capabilities and concern about potential misuse for stalking or surveillance. GitHub removed the repo's public details from circulation in some regions.
- 2
TileLang, an open-source domain-specific language from the tile-ai project, is drawing interest for simplifying the writing of high-performance kernels for GPUs, CPUs, and other accelerators. Built in Python, it aims to cut the complexity of hand-tuned kernel development, a task that has grown more demanding as AI hardware diversifies and developers seek portable, efficient code across chip platforms.
- 3
A new research project called UniMate, accepted to SIGGRAPH Asia 2026, proposes a single unified model capable of animating diverse skeleton types. The code has been released on GitHub under the Friedrich-M account, written in Python. Interest is building in computer graphics and animation circles, where animating across different character rigs and skeletons has long required separate, specialized pipelines.
- 4Six Currency Mistakes Developers Keep Making in Code●Floats, decimal places, symbols, base vs quote, and stale rates. Practical JavaScript and Python examples for handling m
A new write-up highlights six common mistakes developers make when handling money in software, including using floating-point numbers, mismanaging decimal places, mishandling currency symbols, confusing base and quote currencies, and relying on stale exchange rates. It offers practical JavaScript and Python examples showing correct approaches to currency handling. The piece is drawing attention among programmers and fintech developers, since these errors can cause real financial bugs in production systems.
Repos
- NandhaKishorM/laya Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward
- Vibra-Ingenn/Janus Janus is a API router for AI models written in Go and has a Vulkan Model runner
- tile-ai/tilelang Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
- vectorize-io/hindsight Hindsight: Agent Memory That Learns
- VectifyAI/PageIndex 📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
- rohitg00/ai-engineering-from-scratch Learn it. Build it. Ship it for others.
- feitangyuan/onetake Motion films that never cut to the next slide: every beat grows out of the one before, one continuous camera, continuity
- kaankiziltug/logo-design-skill A comprehensive logo-design skill for Claude, Gemini CLI, Codex and other AI agents: principles, process, SVG craft, tes
- pablostanley/yoinks yoink any video from your terminal. no shady ads.
- harry0703/MoneyPrinterTurbo 利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
- browser-use/jev-ultrafast Fastest and cheapest web agent
- google-research/rrsi
- receptron/laya Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime
- Contrastive-LM/CLM
- HunxByts/GhostTrack Useful tool to track location or mobile number
- cloudflare/forge
- nokia-applied-research/AnyJev Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welc
- mizorewww/laya-coreml Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reprodu
- RubinLabs26/ISpotify Local-first desktop music search, playlist, download, and playback app for Windows and Linux
- mizorewww/laya-mlx Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or c