
MotoDataHub
Aggregate and compare used-car listings across European marketplaces to find vehicles at lower prices.
@andrejbuday · X
I hope I am not late into the party. This is mine
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Aggregate and compare used-car listings across European marketplaces to find vehicles at lower prices.
@andrejbuday · X
I hope I am not late into the party. This is mine

Book hotels, flights, car rentals, and bike rentals in one platform.
@kuldeepjoshi_10 · X
Check out what I just built with Lovable!

Reels, recipes, movies and places, saved from anywhere and remembered in one place.
@JoinFavorit · X

Optimize your product listings and images across multiple marketplaces with AI.
u/Dfmarulanda · Reddit
roast my landing page - AI that rewrites your amazon listings (dondo.com) site: dondo.com what it is: you connect your store and it rewrites your product listings (titles/descriptions/keywords), makes studio + lifestyle images, and cross-posts them to other marketplaces. cheapest plan is $8/mo. been staring at this page for weeks so i honestly cant judge it anymore. curious what fresh eyes think: is it clear what the product does right away or confusing? does the headline pull you in

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

@zdogmode Places for the particular, right here https://t.co/iqfT9MTdnf
@discoverdiscoo · X
Places for the particular, right here

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

Identifies places to get your startup mentioned across articles, podcasts, and directories.
@jessomzy · X
hey, i'm building sightivo in the marketing space! it's for startups to boost their search rankings and visibility in AI answers. it looks at a ton of factors and finds the best place for YOUR company at your stage to get mentioned on next

See what DoorDash, Uber Eats, Grubhub, and catering marketplaces actually cost. Reconcile payouts, expose deductions, and track true delivery margin by location.
@myke86d · X
operator first

A private map for saving and sharing places, photos, videos, and memories with trusted people.
@pinlytech · X

Daily puzzle game where you guess movies, songs, places, or sayings from emoji clues.
u/Big_Cano · Reddit
I built and shipped a daily puzzle game in one day using AI — here's what actually turned out to be hard The code was the easy part. What took the real work was the puzzle design, and I didn't expect that. Some things I learned building an emoji-clue game: Emoji rendering is a minefield. I used 🫘 (beans) in an idiom puzzle. On Windows it's nearly unreadable — the puzzle failed even though the clue was literally the right object. Rule I ended up with: only pre-2020 emoji, and only ones t

Interactive globe showing the world's sunniest, warmest, and rainiest places.
@Flightmussy · X