VideoScriptPlatform
Paste a video or podcast link and get the full timecoded transcript.
It works with YouTube, Bilibili, Apple Podcasts, Spotify and Xiaoyuzhou, even when a video has no captions. Copy the transcript straight into Claude, ChatGPT or your notes, or export it as Markdown, SRT, VTT or TXT. New accounts get 120 free minutes.
Open site
BTC Bear-Bottom Evidence DashboardPlatform
Sixteen on-chain indicators that show how deep a Bitcoin bear market runs and how far the bottoming has come.
Instead of guessing the exact low, it treats a bear-market bottom as a process and reads it on two axes. The pressure axis shows how much stress the market is under, and the bottoming axis tracks whether evidence of capitulation, seller exhaustion and fresh demand is adding up. Thresholds come from a manual review of past bear markets, and the AI only interprets within those facts. It is a research tool, not trading advice.
Open siteView on GitHub
AI Developer DashboardSoftware
A local desktop dashboard that gathers project progress from Claude Code, Codex and Git in one place.
When several projects are in flight, it reads the activity these tools leave on your machine and merges it into project cards, a stage board and a timeline, then picks the three things worth doing today. On demand, AI can summarise where each project stands, what comes next and what is blocking it. It runs on Windows and macOS.
View on GitHub
docs-by-versionSkill
An Agent Skill that sorts project docs by version, keeping plans apart from what actually shipped.
Over time, project docs mix what was planned with what was done. It splits each version into a requirements file and a completion file, keeps progress and a version index in docs/README.md, and ships a script that checks the structure. It works with Claude Code, Codex, Cursor and other tools that read SKILL.md.
View on GitHub
RMF-EDSoftware
Real-time object detection in low light that fuses RGB, near-infrared and LiDAR.
Annotated near-infrared data is scarce, so a NIR-GAN first generates near-infrared images from RGB datasets. The detections from RGB, near-infrared and LiDAR point clouds are then fused. On KITTI it matches or beats existing fusion methods and takes only 21 ms. This is the code that accompanies the paper.
View on GitHub