gurunoor_singh · Product Hunt

eatsTO — What's the move tonight? AI-powered food discovery that actually picks for you.

@droplana_com · X

u/getawaykid · Reddit

I got tired of doing receipt math at restaurants, so I built a free bill splitter with optional AI scanning TL;DR: Receipt Split splits restaurant bills by item. Free for manual entry + real-time sharing. AI photo scanning is optional and costs money to run, so I only charge for that part. I built Receipt Split after one too many dinners where someone said “let’s just split it evenly” while my friend was sitting there with a salad and everyone else had entrees + drinks. It’s a web app —

@juancastillamar · X

Hi Esther, I’m a frontend developer working in seo for let’s connect and keep growing!

@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!

@GabrielKur8586 · X

@SandeepHegde · X

@danielendara · X

Sure! let's connect! My latest creation is

@BoSHADE · X

u/eXt3000 · Reddit

I built a calorie tracker that lives entirely inside Telegram — no app store, no signup. Here are the ugly parts too Like a lot of people I quit calorie trackers because typing "chicken breast, 143 g" fifteen times a week is misery. So I built NutriAI: a Telegram Mini App where you photograph your plate and AI (Gemini) does the rest — calories, macros, 8 micronutrients, plus a 0–99 "sanity score" per dish that tells you how reasonable the meal is without lecturing you. Why Telegram instead

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

@LateNightTo8xx · X