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28 projects
将屏幕录制转换为精美的PDF指南。
@vanmurten_eth · X
Guidesnap: turn any screen recording into a polished PDF guide.
从你的城市发现3天周末旅行，按旅行时间和预算排序。
cakerace · HN
WeekendMax – Every 3-day-weekend trip from your city
在全球交互式地图上发现初创创始人、独立黑客和 SaaS 构建者。
@CiprianiRanieri · X
Builders Map: community of builders from all over the world.
Entrifi提供访客管理、数字签到和徽章打印，为企业设计。
@habeeb_tech · X
How does your team currently manage visitor check-ins at reception? Try Entrifi, a digital visitor management built for Nigerian businesses. Works on any device, no hardware needed. Get started free: Worth sharing with whoever manages your front desk.
用AI规划旅行，在几分钟内生成行程和旅行计划。
jalonso · Product Hunt
naistrip Plan your trip with AI in seconds, not hours
旋转地球发现世界最晴朗、最温暖或最潮湿的地方，涵盖3800多个目的地。
@Flightmussy · X
用AI生成旅行行程，包含预算分析、实时人流热图、行李清单和签证信息。
u/Mohucool · Reddit
Roamwise - A smart AI travel Planner I created an AI powered smart travel itinerary planner app ,let me know if you like it. You can access it at https://www.roamwise.co.in . I will try to take feature requests and additions as per the response of audience. submitted by /u/Mohucool to r/SideProject [link] [comments]
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
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
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
