u/TopChapter1953 · Reddit

Grocery savings website!! Hi everyone! For the past two years I have been working on and off on this website and I just wanted to publish it here and see some feedback! Thanks for all of your help! It's called ShopAI, and it finds nearby grocery stores (based off of given zip code) and searches their weekly ads/coupons for the best deals on the items you need, which saves you from browsing multiple flyers. It also maps nearby stores and includes an AI assistant that can suggest meals and g

eli_yumnik · HN

I built a free app for New Yorkers to save money on groceries

@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!

@KSertttttttt · X

@JoshuaHenr3593 · X

Just launched: Free Market (FMK) 🛒 A free marketplace for sellers, artisans & delivery riders — inventory tools, sales tracking, and profiles, no fees. Check it out 👉 RTs appreciated 🙏 #FreeMarket #FMK #buildinpublic

@RamnayanCh03z · X

Check out what I just built with Lovable!

@localmama4u · X

@djuseur91297 · X

Check out what I just built with Lovable!

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

mqx · V2EX

记录个人饮料红黑榜网站 简介：记录个人饮料红黑榜（夯，NPC，拉），数据纯前端保存，可以导出恢复，欢迎使用，哈哈哈 网站地址： http://47.107.180.19:8080/

@afobabaav · X

Check out what I just built with Lovable!

@AbosiGodwin · X