
LCLPage - Simple Landing Pages For Local Businesses
为本地企业创建专业着陆页,通过邮件收集客户咨询。
@petitpois28 · X
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为本地企业创建专业着陆页,通过邮件收集客户咨询。
@petitpois28 · X


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

借助AI为本地企业生成Google Reviews,助力获取销售线索
@janiraj88 · X

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

为本地商家打造忠诚度奖励计划,客户赚取积分,商家获得实时分析。
@venzotunay2 · X
Start earning as soon as possible Check out what I just built with Lovable!

在Google Maps上发现本地业务,评分潜在客户,生成个性化WhatsApp消息。
@AbosiGodwin · 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

追踪并管理您的商业在Google、ChatGPT和本地列表上的可见度
@JDuerden12226 · X
Building in SF!

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!

在Broadcrowd发现本地社区,分享内容、找工作和买卖物品。
@broadcrowd · X
Advanced hyper-local app with many features. Ask @grok about it