
RankNest — Digital Visibility Platform | 720+ Businesses Across 352+ Categories
在RankNest认证目录中搜索并列出您的企业,涵盖352+个类别。
@a1coder · X
Claim your spot, where it matters Submit your website for free
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15 projects

在RankNest认证目录中搜索并列出您的企业,涵盖352+个类别。
@a1coder · X
Claim your spot, where it matters Submit your website for free

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.

发现包含需求信号和竞争分析的商业机遇。
@businessHunter_ · X
Business Hunter scans Reddit, HN and GitHub for real demand signals → tells you exactly what to build before you write a line of code.

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

发现认证创作者,发送活动邀约,管理支付。
@lumorabuild · X

粘贴谷歌地图链接,即时生成包含评论的免费多语言商业网站。
@maherzaidoune · X

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

为品牌雇佣认证创作者制作用户生成内容并衡量营销活动ROI的平台。
@dileepdhakal · X

通过AI评估发现最适合你的商业方向和创业机会。
@airemesdev · X
What if this is not for me? Have you tried our new product? checkout and see if what you're doing is actually for you 😀😀

购买虚拟美国或英国电话号码用于YouTube账户验证,即时获取OTP。
@BagBagnal · X
