@callable_com_ai · X

create your digital twin with your knowledge base for others to call (and make money?)

rot256

@LeeLeepenkman · X

nice im working on lots of AI stuff so right now :)

@coastallife831 · X

Everyone sells one AI chatbot. We sell 80 specialists you can test-drive instantly.

@fatwang2ai · X

做了一个 IP 检测工具： 开源。一次查询汇总 13 个数据源的风险评分、代理/机房类型和网络归属。不同平台的判断经常不一样，有些数据库甚至提供付费修正机制。与其只信某一家，不如把共识和差异放在一起看，更全面地了解你的 IP

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

@hockystick_app · X

A fundraising platform design to close deals-

@nyamabites · X

免费 AI 视频生成器 Sora 2 — 即刻创建逼真视频