cakerace · HN

WeekendMax – Every 3-day-weekend trip from your city

@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

@_ariesblaze · X

1. SEO & Websites Audits. 2. Invoice mgt. 3. Event and Ticket Mgt

@danielendara · X

Sure! let's connect! My latest creation is

@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!

halshin_dev · HN

An interactive game of British Columbia

rakibtg · HN

Hey HN, the maker here. I built Prijm.com because I wanted something like a cross between Reddit and the simplicity of Hacker News, where you can follow tags like #OpenAI or #AI [1] the way you'd follow a subreddit, but ranking is based on favorites/comments rather than a hidden algorithm Right now it has a very small user base and a few posts, so it's small and early. One thing I'm actually proud of is the threaded, markdown commenting system. I put a lot of work into it. Unfortunetly, there is

@ammar_nassri · X

I'm building a conversation-first accountability app. Let's connect

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

@TIM_x_AI · X