@expateasepanama · X

Check out what I just built with Lovable!

@yan_ianthe · X

Shoutout to travelboast and — gorgeous travel map animations. I just wanted one for my own trip without learning a timeline. so with GPT 5.5 vibe coding I shipped ✨Free, browser-only, no login, type your stops → get a video. this is what "vibe coding a weekend project" actually looks like: no spec, no figma, just "build me X" in a chat window.

Routewise-AI — 旅行规划工具（免费），基于 GPT-5.6 大模型

@TheDillonPrice · X

for geo-flexible career seekers and for aspiring founders.

@VagnerC45 · X

Check out what I just built with Lovable!

@Tridenttaxisltd · X

Check out what I just built with Lovable!

@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

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

cakerace · HN

WeekendMax – Every 3-day-weekend trip from your city

@EbenezerSm48857 · X

Check out what I just built with Lovable!

@AVandw3962 · X

Check out what I just built with Lovable!