实用工具1 month ago
Local Mama – Hyperlocal Search Engine for Your Area
在你的社区搜索本地企业，发现他们的故事和优惠。
@localmama4u · X
完整作品展
技术栈
19 projects
在你的社区搜索本地企业，发现他们的故事和优惠。
@localmama4u · X
在本地录制和编辑屏幕视频，无云存储和上传。
@MarkZofMarkZ · X
Screen Recorder that doesn't share your recordings to the cloud:
对电影和剧集评分、追踪观看进度、建立片单、与朋友对比品味偏好。
@BenjiNaesen · X
I vibe-coded an alternative to Letterboxd last night. You're welcome to try it out. 👀
与本地旅行者和向导连接，参加社区聚会及预订真实体验。
@nopecode369 · X
This completely resonates. I actually poured my entire heart and passion into building for this exact reason. It’s designed as a dedicated home where real travelers, local guides, photographers, and trip planners can finally connect organically
自动将视频翻译配音成多种语言。
@pradeepcep · X
AI powered translation and dubbing:
LeedFinder - 按位置搜索，分析网页设计需求，获取销售线索。
@portraitmodeja · X
Helps web designers find businesses that need a new website instead of spending hours searching manually.
Hexabench 本地开发者工具套件，支持 CSV、Parquet、JSON 格式处理，无需上传。
u/sheshu29 · Reddit
My side project Hey everyone i have just created this website for developer who does not want to rely on ai agents so please visit and give me some feedback if you want any specific tools 🫠 submitted by /u/sheshu29 to r/SideProject [link] [comments]
ReelSpeak — 用短视频学外语。
@Userfree · X
我以前是搞用户体验的，我也做了一个自己的用的语言学习工具 AI 帮自己编程，就我以前是搞用户体验的，我也做了一个自己得用的工具。我感觉有了 AI 帮自己编程就很爽了，再也不用求程序员、求设计师了，哈哈
通过可视化、感知来源的新闻地图探索全球事件。
@brryg_ · X
sure man, working on a social and visual news hub called heuron - lmk what you think!
上传本地化文件，获得游戏类型和语气感知的AI翻译。
@polycontext · X
Context-aware localization for apps, games, and software.
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
