@localmama4u · X

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

@businessHunter_ · X

Business Hunter scans Reddit, HN and GitHub for real demand signals → tells you exactly what to build before you write a line of code.

@chandlerwilcox · X

@WingBeerSpecial · X

- Discover daily specials at restaurants near you. Currently limited to Ontario Canada. Let us know if you like to concept and want to see coverage in your area next!

@SuperCodeCrunch · X

@NextBrandHQ · X

will help you get a better name for your venture 🚀

@CiprianiRanieri · X

Builders Map: community of builders from all over the world.

@a1coder · X

Claim your spot, where it matters Submit your website for free

@Alex_XIVI · X

niche social network for startup founders, welcome 👀

@growthmatchmake · X

Find the Right People

@atbigthumb · X