
Cheers - Done-for-You Local Visibility on Google and ChatGPT
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!
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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!

Google Maps business leads with phone, email, and website already resolved. Priced per row with no per-call minimum, no subscription, and credits that never expire. Amazon reviews
@chrislutzxy · X
The only lead data API you'll ever need.

发现认证创作者,发送活动邀约,管理支付。
@lumorabuild · X
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

浏览11,000条经验证的哥斯达黎加侨民企业,含评价和联系方式。
@jozef_x1 · X
Vibe coded this in base44: brought in 25 listings from my WP site, with an export plugin then imported into Next level.

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

从PDF删除个人信息,完全本地处理,支持OCR和智能验证。
u/AmazingFinger · Reddit
VeriRedact - Offline PDF redactor because I didn't trust any tool with my tax returns Apartment hunting meant sending my SSN, tax returns, and bank statements to strangers, often all in one PDF. Redacting them myself with a black box or highlighter tool felt scary. Cloud tools wanted me to upload my tax return to fix that. However, I didn't trust them, and the one that look trustworthy would charge a lot of money. So I built VeriRedact. Load it, optionally download the local A

Scoutline 发现没有网站的本地企业,评分排序,生成预览网站冷推。
@ehanab_ · 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

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

在Google地图上发现本地商业线索,自动化个性化营销推广。
@azeem_sh123 · X