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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

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

BookWave:用拖拽编辑器为本地商户打造预订系统和在线店铺。
@anefthynos · X

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.

LocaLead帮您搜索本地企业线索、获取联系方式并生成AI推广。
@localeadsite · X
LocaLead turns local business data into ready-to-contact leads with contact details, insights, and personalized AI outreach

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!

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

浏览和购买精心设计的服装、家居用品和户外装备。
@Jonatha64041021 · X
Check out what I just built with Lovable! come check us out😀

在720+企业组成的认证商业目录中搜索和列出您的公司。
@a1coder · X
Claim your spot, where it matters Submit your website for free

按位置或材料类型搜索3500多个回收中心,查找附近的投放点。
@KSertttttttt · X