
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
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10 projects

在你的社区搜索本地企业,发现他们的故事和优惠。
@localmama4u · X

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

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.

找到本地收集者,面对面交易宝可梦、One Piece和万智牌卡牌。
@paxtondang · 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

浏览附近餐厅的每日鸡翅特价、啤酒优惠和欢乐时光。
@WingBeerSpecial · X
- Discover daily specials at restaurants near you. Currently limited to Ontario Canada. Let us know if you like to concept and want to see coverage in your area next!

按标签浏览和分享链接,由社区点赞和评论排序。
rakibtg · HN
Hey HN, the maker here. I built Prijm.com because I wanted something like a cross between Reddit and the simplicity of Hacker News, where you can follow tags like #OpenAI or #AI [1] the way you'd follow a subreddit, but ranking is based on favorites/comments rather than a hidden algorithm Right now it has a very small user base and a few posts, so it's small and early. One thing I'm actually proud of is the threaded, markdown commenting system. I put a lot of work into it. Unfortunetly, there is


根据Google地图商家资料和评价生成专业网站。
u/Akashrakshit77 · Reddit
I built a website generator that starts with Google reviews instead of a prompt Most AI website builders start by asking you to describe your business. I kept wondering why a local business should have to do that when its customers have already described what makes it worth choosing. So I built Presenvo. You paste a public Google Maps business listing, and it uses the listing details, photos, recurring review themes, and selected customer quotes to create a hosted website you can review

在MPower Competitions注册参加英国飞镖竞赛,通过推荐获得奖励。
@clbdarts · X
Darts Fans in the UK. Join me at MPower Competitions — sign up with my referral link and we both get rewarded!