@Jithendhar40266 · X

Ai voice agents that books calls

@nikola_stanin · X

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@Eli_Greenfeld · 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

@KSertttttttt · X

@sanjeevpai · X

I have been trying out a new idea at - A 100% vibe coded site that actually adds value. It is alpha v0.003 so far but beginning to take shape nicely. The AI agent completely redid the look and feel and behavior in one day. At this rate of growth, agents are going to put a lot of software vendors out of business.

@sakibhasandev · X

Here's mine :)