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BulkPicTools — Batch Image Processing with Tool Chaining & Local AI | BulkPicToo
在浏览器中批量处理图片，支持工具链、本地AI和格式转换。
BulkPicTools — 免费浏览器端图片批量处理工具，支持**工具链串联**（压缩→转格式→裁剪一次完成，无需重复上传），本地 AI 去背景/人脸模糊（WebGPU，无需 API Key），支持 200+ 张图片批量处理，文件不上传服务器。
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在浏览器中批量处理图片，支持工具链、本地AI和格式转换。
BulkPicTools — 免费浏览器端图片批量处理工具，支持**工具链串联**（压缩→转格式→裁剪一次完成，无需重复上传），本地 AI 去背景/人脸模糊（WebGPU，无需 API Key），支持 200+ 张图片批量处理，文件不上传服务器。
为软件团队打造的项目管理、CRM 和 HR 一体化平台。
@aquib_builds · X
MyTaskly — task/project management SaaS, live at Problem: small teams overpay for bloated PM tools or just lose track of things in WhatsApp/spreadsheets.
一个3D集装箱装箱工具，自动优化装货布局和利用率。
wen20 · V2EX
外贸人使用的工具：一个 3D 装箱工具分享 外贸集装箱 装货 3D 可视化工具 工具地址： https://waimao.himyou.com/container 工具特点： - 默认包含 20 尺标准柜、20 尺高柜、40 尺标准柜、40 尺高柜、45 尺标准柜、45 尺高柜，可自定义集装箱大小 - 盒体和圆柱体货物布局 - 多种自动装箱算法，自动计算装箱利用率 - 导入、导出 货物列表 - 支持底部托盘
虚拟宠物伴侣，在你的 browser viewport 中爬行，根据 page topics 做出响应。
@fujidevv02 · X
the world's first context-aware, local AI browser pet companion!
为 AI 代理构建数据库、看板和笔记以进行协作。
@emir_ogz · X
Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly
为现代团队自动化负载测试，无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional
智能代理驱动的翻译管理平台，快速交付多语言应用。
@sacsandc4 · X
Remotalk：用AI连接朋友，突破语言和残疾障碍。
@RemoStart · X
Ours is an amazing platform called If you have a diverse team, the platform is for you!
浏览全国精选的联合办公空间，立即预订日间通行证。
@sigmagirlgrind · X
1. book neighborhood workspaces. no membership. 2. founders, builders, digital nomads. 3.
在地图网格上追踪您的 Google Business Profile 排名，发现本地 SEO 机会。
@neerajmishraseo · X
Vibecoded this saas seo tool that tracks Google Business Profile map rankings. Took me 1 week to build it using Claude Code. Really surprising to know how evolved and capable these AI tools are nowadays. #buildinpublic #saas #seo #vibecoding #claudecode
自动将视频翻译配音成多种语言。
@pradeepcep · X
AI powered translation and dubbing:
搜索餐厅，发现当地人真正吃饭的地方，避免旅游陷阱。
kingchesco · HN
I know $90 for a dining app sounds absurd. And it’s not even an app; it's a wrapper for an LLM. But it is how it is built that makes it so expensive. I had to make a whole API just to call it (which because its own SAAS). All just to bypass dumb google reviews. Google Maps and reviews send people to places optimized for tourists and good copywriters. To find actual local hole-in-the-walls algorithmically, I had to first build that api (called BWENDI), a "spatial gravity" engine using 100GB+ of tweaked OSM, GeoNames, and other proprietary data. Instead of aggregating reviews, it mathematically calculates foot-traffic, throughput, transaction stats, and economic criticality among other factors. Bwendi is A Python/Node ETL pipeline feeding an LMDB-backed context API. It uses a proprietary 1MB binary grid served via Cloudflare Workers for millisecond edge reads with near-zero overhead, hosted in Switzerland. This was done of course to get the purest location context around every street