
LeedFinder - The Easiest Way to Find Local Business Leads
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.
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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.


从市场信号发现公司,监控目标账户,验证联系方式并实现销售外展。
@joshwhitfieldai · X

监控 Reddit 子版块中的关键词,当潜在客户提及您的产品时获取提醒。
@tarasshyn · X
With the help of RedReplier 😉

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

查看网站在 Google 和 ChatGPT 中的可见度并找出改进之处。
@INSPECCIA · X
Free website visibility audits for businesses — see whether Google and AI can find, understand and recommend your company:

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

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

Presency 免费店铺平台,在WhatsApp和Instagram上自动接单和回复客户。
@HopeEjejigbe · X

通过仪表板查找 Facebook 潜在客户并自动化外展。
@Laertisparissis · X
automating facebook outreach

Clics:隐私优先的网络分析,显示哪些营销渠道吸引访客和收入。
@essonam_m · X