@afobabaav · X

Check out what I just built with Lovable!

@InvChamber · X

Early access is open 👀 Track items across multiple locations with AI-powered photo entry. Building this for small business owners tired of clunky inventory tools. Contact us for 3 months free access.

@muzecaka · X

nicholasjamesboyd · Product Hunt

Kitchicon The AI assistant that takes the stress out of home cooking

@JoyDani60850539 · X

Check out what I just built with Lovable!

@BenX_HQ · X

Week of dinners for a family of 5 under $100 total. I vibecoded an app to help my family and made it live for everyone. It’s free. Will be constantly upgraded with @grok to continue to enhance.

u/Specialist_Agent3599 · Reddit

15 months of vibe coding a saas and here's what nobody tells you about production everyone talks about how you can just build things now. and you can, mostly. what nobody covers is the bit where real users show up and everything falls over in ways the model never warned you about. ai got me maybe 60% of the way. landing page, auth, a dashboard that looked genuinely good. then people started using it. my database was fine with a couple hundred records and completely died at ten thousand. e

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

@koskwikmenu · X

@StockSyncApp · X

@Lsdavo · X

built in 2 days with claude code. the unlock: gave it our design system first - colors, type, components. after that every iteration stayed on-brand automatically. no mockups. no handoffs. describe → review → refine.

@ShakibMd93031 · X

Built an Equipment Rental Management System to simplify rentals, payments, and equipment tracking. Looking for businesses interested in a demo or a customized solution.