
TruckSpot — Find the Flavor Near You
Real-time food truck finder with live map, menus, and daily specials.
@LisaRoseFL · X
Check out what I just built with Lovable!
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Real-time food truck finder with live map, menus, and daily specials.
@LisaRoseFL · X
Check out what I just built with Lovable!

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

Discover authentic restaurants, dishes, and cuisines with transparent sourcing and food planning tools.
@Palate_Food · X

Discover NYC restaurant recommendations ranked by analyzing Reddit posts and comments.
u/chuguchak_111 · Reddit
I Built an NYC restaurant ranking tool based on real Reddit information Hey guys, just want to share a little project I made, foodlistnyc.com , where I used ChatGPT and Claude to analyze ~600k posts and comments from r/foodnyc , and use this information to rank and visualize the best restaurants mentioned on the subreddit. I created the web app with Claude Code. I have a detailed breakdown on my app showing how I did this, but here's a brief summary: Downloaded the past

Browse daily wing specials, beer deals, and happy hours at nearby restaurants.
@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!

Share your interests and discover people who love the same things.
@nilsvb · X
Just launched Lovelisti after a week of vibe coding: add one thing you love and tell me who you find. Here is my list :

Lovorise is where you can share your daily moments and build connections. Explore stories, discover people through what they share, and chat freely in a secure, ad-free space with
@MazharulIsjw · X
At Lovorise, we’ve developed a powerful, developer-friendly Chat SDK Messaging Service designed for real-time live chat support. We’re seeking strategic partners who want to embed reliable chat widgets directly into their ecosystems. early access

Book an interactive home in fictional Indie Town and give your product a place visitors can explore.
@SudJourney · X
Working on this

Save and browse restaurants you want to try, helping you decide where to eat.
@danielendara · X
Sure! let's connect! My latest creation is

Connect with travelers and locals to join community-led meetups and book authentic experiences.
@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

Compare grocery prices and deals across 690+ stores in all NYC boroughs.
eli_yumnik · HN
I built a free app for New Yorkers to save money on groceries

Discover places ranked by personalized quality of life factors including allergens.
u/coinrain10 · Reddit
What's your ideal place to live? I'd like to present movewhereusa.com ! I wanted to make something to help connect people with the places to live best for their personal quality of life. For my wife and I, it was really hard to find high quality allergen data. And trying to combine that with other factors like a budget, seeking out mountain views, and job markets turned into a very slow process with a lot of guesswork. I tried asking AI, but the results were inconsistent and