
Iya Igbo Ventures — Provisions & Household Essentials in Idimu Otta
Browse and order groceries, household essentials, and provisions from a Nigerian store via WhatsApp.
@afobabaav · X
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Browse and order groceries, household essentials, and provisions from a Nigerian store via WhatsApp.
@afobabaav · X
Check out what I just built with Lovable!

Scan food barcodes to analyze ingredients and get gut health scores
@Sasobhabha · X

Upload photos of your ingredients to get AI-powered recipe suggestions.
u/TraVichs12 · Reddit
I built an app that looks at your fridge and tells you what you can cook I kept having the same problem: random ingredients left in the fridge, but no idea what to make with them. So I built CookAI. Take or upload a photo of your ingredients → it detects what's there → you can correct the list → it generates 3 recipes you can make with what you have. It's a free web MVP, no signup or install: https://cookai-mvp-web.vercel.app The main thing I'm trying to validate isn't whether the

Discover global recipes through short video reels with immersive browsing.
@alabi_debo55272 · X
Just shipped SatioFlix! A seamless, immersive way to discover global recipes through short video reel. Built with: React + TypeScript Tailwind CSS v4 Vite + PWA support Live link: Feedback is highly welcome! 👇 #buildinpublic #webdev #reactjs

Book trucks for moving and haulage across Nigeria with instant quotes and live driver tracking.
@Sustainedcare1 · X
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Find restaurants where locals actually eat, filtering out tourist traps.
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

Browse and instantly book daily coworking passes at curated spaces nationwide.
@sigmagirlgrind · X
1. book neighborhood workspaces. no membership. 2. founders, builders, digital nomads. 3.

Build and manage a virtual fast food restaurant in this browser-based tycoon game.
Fast Food Simulator — 快餐店模拟经营游戏,可在线免费玩

Find bathrooms, outlets, snacks, seating, Wi-Fi, and water along your route in NYC with community-verified data.
@j02h0wa · X
Locked out one night, low battery and complaining bladder So I made a website that verifies the availability of outlets and bathrooms in NYC

Shop from verified global stores and suppliers using AI-powered search and secure checkout.
@djuseur91297 · X
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Shop curated fashion from exclusive boutiques with instant delivery.
@badnikhill · X

Find local business leads with contact details and generate AI-powered outreach campaigns.
@localeadsite · X
LocaLead turns local business data into ready-to-contact leads with contact details, insights, and personalized AI outreach