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为旅行照片创建可分享的链接，无需压缩或应用。
@masterjesuser · X
if you planning a group trip or activity recently, try out to make photo sharing less of a pain
屏幕录制自动生成分步指南和培训文档
@Amit63390 · X
在 The Build Nation 与创业者、导师和投资者建立联系并协作。
@KGR_006 · X
在Google地图上发现本地商业客户，并自动化个性化外联活动。
@azeem_sh123 · X
上传房屋视频获取AI改进建议以最大化售价。
u/engineeralex · Reddit
I built a free AI tool that watches a phone video of your house and tells you what to fix before you sell People prepping to sell either sink money into a full kitchen remodel that returns about half (NAR pegs it around 55% cost recovery) or skip the cheap fixes that actually pay. So I built HomeBrief . Film a 3-5 minute walkthrough on your phone, a vision model watches it, and you get a room by room fix list with cost ranges and estimated value added. Calls from real reports, least aggr
交互式六边形元胞自动机模拟器，支持自定义规则和WebGL2可视化。
SciStone · HN
Hexagonal Game of Life Explorer
根据GPS位置、本地天气和文本提示生成AI图像。
@Pascal1Reymond · X
Check out what I just built with Lovable!
浏览中国古建筑数字档案，按地区查看历史文献和影像资料。
balalaika · V2EX
AI 辅助做了一个古建漫游指南 主要想收集一些古建筑相关的文献和照片 根据文物保护名单的顺序来收录的，目前收集的还不多，目前还是 codex 辅助收集数据然后人工审核拼接的，所以补充起来还比较慢 网站地址： https://gujianzhu.wiki
Scanly：用AI即时审计网站的SEO、性能、无障碍和安全问题。
@proyecto_cripto · X
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
通过猜测AI生成图像的位置和时间来测试你的地理知识。
TimeGuessr — 给你一张图片，让你猜测图片发生的时间和地点。我们把 Timeguessr 的玩法原封不动地搬了过来，只是把图库换成了另一批“假照片”——全部由 AI 生成的过去 50 年里可能发生的瞬间
