
yozzu — AI Website Builder for Local Business via Instagram & Maps
将你的 Instagram 和 Google Maps 转换成专业的单页网站。
@maxcuervov · X
- from instagram/google maps profile to ready-to-share website in seconds! :)
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将你的 Instagram 和 Google Maps 转换成专业的单页网站。
@maxcuervov · X
- from instagram/google maps profile to ready-to-share website in seconds! :)

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

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

自动化发布Google Business Profile,提升本地商户在Google Maps上的排名。
@uwais_jawed · X
Rank higher on Google Maps O_O

在ChatGPT、Perplexity和Claude上审计和优化本地业务的可见性。
@Timemindai · X

从Google Maps寻找本地企业客户,自动发送个性化推销方案。
@azeem_sh123 · X

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
在地图网格上追踪您的 Google Business Profile 排名,发现本地 SEO 机会。
@neerajmishraseo · X
Vibecoded this saas seo tool that tracks Google Business Profile map rankings. Took me 1 week to build it using Claude Code. Really surprising to know how evolved and capable these AI tools are nowadays. #buildinpublic #saas #seo #vibecoding #claudecode

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.

按邮编或城市搜索 RecycleFind 回收中心、电子废弃物处理站。
@KSertttttttt · X