
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.

发现X上的高意图对话,用你的品牌声音生成AI回复。
@birdpitchx · X
Still searching X for people asking for recommendations? By the time you find the post, the conversation is already over. BirdPitch continuously discovers high-intent conversations, generates AI replies, and lets you decide what gets published.

Affiliateo 是应用开发者和创意人士的联盟营销平台
@NicoGrajales · X
Affiliate marketing platform

监控 Reddit 子版块中的关键词,当潜在客户提及你的产品时接收提醒。
@tarasshyn · X
With the help of RedReplier 😉

在交互式地图上搜索英格兰的公交路线。
@Dave__Griffiths · X
Something similar I vibe-coded for buses:

在实时地图上找到附近的X用户,分享您的位置,跳转到他们的个人资料。
@CX_Bladesman · X
Just launched X-Nearby 🚀 Find nearby X users on a live map. Share your location when you choose, discover people around you, and jump straight to their X profiles. Try it now: #XNearby #BuildInPublic

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

用AI发现匹配的工作、生成定制简历、整理求职申请。
u/Odd_Huckleberry4363 · Reddit
Laid off after 25 years in consulting, so I built the job-search tool I wished existed I got caught in the tech layoffs after 25 years in client-facing consulting, and the job hunt itself turned out to be the worst-designed workflow I'd ever seen. Jobs scattered across a dozen boards, every posting wanting a different resume - AI responses that sounded horrible, the whole thing living in a spreadsheet. So, I built Jobfyt while searching to help me find jobs and organize things.

Knotulus:根据创始人行为分析与投资者进行智能匹配
@enoch_fyw · X
MBTI for founders, connect with Investors the fun way!


与朋友滑动电影和剧集,找到你们都同意的选择。
@that80zguy · X
Check out what I just built with Lovable!

用AI分析历史记录、地形扫描和密码分析来研究宝藏传说,获取挖掘候选地点。
@SamPfeiffe50609 · X
Check out what I just built with Lovable!