@gravibase · X

Discover how AI agents can turn ideas into content. Try GraviBase today:

@YashManghnani1 · X

Hey already done, waiting on you to connect. I am building and

@EllistriponX · X

Detector de IA — 西班牙语优先的 AI 文本复核网站，可检查粘贴文本和文档，查看概率信号、句子高亮和可导出报告

@RekonAstra · X

@apicorafrica · X

Yes please, Apicora helps people understand plant suitability, ecological risk, and site-level decisions using structured African plant intelligence.

@lavishmehra54 · X

Not building anymore, i just launched Morasious - Turns The Most powerful book's like The Prince, 48 laws of power like books into answers for whatever you're stuck on, so instead of reading books over 100+ pages just got the core and apply in real life 🔗

@Timemindai · X

@imsudipcreator · X

Student housing simplified

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

@marcin_u2 · X

-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

@oaZsxer · X

Cheers mate. Built this.