@Muhtasim62 · X

@tejas3732 · X

u/SonikaAI · Reddit

I built SonikaAI to translate books/documents and turn them into audiobooks in one upload The problem I kept running into was pretty simple: I had a document or book in a language I wasn't comfortable reading, and turning it into something I could actually use took multiple steps. Translate it somewhere. Download or copy the result. Then, if I wanted to listen instead of read, move it into another tool for text-to-speech. For longer documents, that also meant dealing with formatting, splitt

@yusuferarslann · X

Codex Pet Generator — 上传一张照片，AI 生成专属动画像素宠物（spritesheet.webp + pet.json），一行命令装进 OpenAI Codex 终端，陪你写代码的像素伙伴

@OptemEra · X

ns90001 · HN

Oasis - Giving Agents Situational Awareness

epic_chain · Product Hunt

OBPAI Tier List maker All-in-one Tier List Maker & AI Ranking Generator

u/careerpivot_kai · Reddit

Found a nasty bug in my AI career tool: it was inventing fake analysis for files it couldn't actually read I built Rezycle.me a couple weeks ago — a free AI resume scan that flags automation risk and suggests career pivots. This week I found a bug that honestly worried me. If someone uploads a resume PDF that's actually a flattened image (no real text layer — happens with a lot of visual/Canva-style CV templates), the AI was still generating a full result. Score, keywords, "evidence quote

u/ahmedk2002 · Reddit

I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I

lisheng3698 · V2EX

我把摄像头变成了乐器：从手势识别到 Web Audio，分享 5 个真正踩过的坑 最近做了一个有点不一样的浏览器小项目：用摄像头识别双手动作，再把手的位置和姿势映射成和弦、音高、音量和音色。 不需要安装软件，也不需要麦克风。打开网页、允许摄像头后，就可以隔空演奏。 项目地址：[GestureSynth.me]( https://gesturesynth.me/) 建议使用最新版 Chrome 或 Edge 。摄像头画面只在本地处理，不会上传。 ## 真正难的不是“识别到手” 最开始我以为，只要 MediaPipe 能返回手部关键点，剩下的事情就是把坐标转换成音符。 实际做下来发现：**识别出一只手很容易，让它变成一个“能演奏”的控制器才难。** 摄像头每一帧都会返回一组手部关键点，但这些坐标会轻微抖动，偶尔还会丢失。如果直接把原始坐标连接到音高或者音量，听起来会非常不稳定。 最后形成的处理链路大致是： ```text 摄像头 → 手部关键点识别 → 提取手掌位置、距离和手势 → 平滑、死区和状态保持 → 映

@shubhs99 · X

This was one of my early and favorite vibe coding projects tracking the four North American sports valuations and transactions