社交社区1 week ago · 1 次试用
Builders Map — Find Builders Near You
在全球交互式地图上发现初创创始人、独立黑客和 SaaS 构建者。
@CiprianiRanieri · X
Builders Map: community of builders from all over the world.
完整作品展
24 projects
在全球交互式地图上发现初创创始人、独立黑客和 SaaS 构建者。
@CiprianiRanieri · X
Builders Map: community of builders from all over the world.
浏览社区排名的产品、服务和公司，查看用户评分。
@durinthegreat · X
Building and launched - let’s connect!
按邮编或城市搜索 RecycleFind 回收中心、电子废弃物处理站。
@KSertttttttt · 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
与创始人和投资者联系，发现 deal flow、招聘人才并扩展您的网络。
@Alex_XIVI · X
niche social network for startup founders, welcome 👀
AI驱动的CRM，用于潜在客户发现、电子邮件验证和冷联系。
@ensaktas · X
为初创企业生成独特的企业名称并发现可用域名。
@NextBrandHQ · X
will help you get a better name for your venture 🚀
追踪 LinkedIn 参与度，识别购买信号并生成合格的 CRM 就绪线索。
@traxy_ai · X
LinkedIn is where B2B deals are. helps you connect with the signals for these deals as soon as they arise and have them ready for your outbound systems. Do not be part of the noise, but the conversations.
网站分析平台，直观展示流量、转化和业务指标。
@Joi2James · X
Dropping @getpagepulse. If your dashboard gives you data but no direction, this is for you.
浏览600+B2B营销框架，获取实战案例，优化定位和外联。
@ZofloqDev · X
It's a library hosting over 500 proven frameworks that can be filtered and matched to your exact problem. This helps with outreach, positioning and strategy going forward let me know what's good and bad about it would love the feedback
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
