@ResenixOfficial · X

Hiii we are Resenix

@MyGeoTokens · X

- location based collectibles

@maxcuervov · X

- from instagram/google maps profile to ready-to-share website in seconds! :)

@heisoxmayor · X

Throwback to this simple Car Showcase app i built when i was bored tech stack: - Next.js - TypeScript - React - Tailwind CSS - Vercel (deployment) live url: do you miss coding locally or has vibe coding taken over?

u/SnooDoggos8379 · Reddit

AI Travel Planner - my first side project in years! Hi all! I finally carved out some time to work on a side project that resolves a very real problem for me - my husband and I can never agree on what to do when we travel so the idea was to have AI reconcile our interests! I hadn't done full stack dev in a min so that's what made it more fun! Would love to get your feedback and insights : https://travel-tetris.vercel.app/ Thank you!!! submitted by /u/SnooDoggos8379 to

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

@apicorafrica · X

Yes please, Apicora helps people understand plant suitability, ecological risk, and site-level decisions using structured African plant intelligence.

@andrejbuday · X

I hope I am not late into the party. This is mine

cosmogram · Product Hunt

www.cosmo-gram.com Astrology & AI

@AbosiGodwin · X

@chandlerwilcox · X

balalaika · V2EX

AI 辅助做了一个古建漫游指南 主要想收集一些古建筑相关的文献和照片 根据文物保护名单的顺序来收录的，目前收集的还不多，目前还是 codex 辅助收集数据然后人工审核拼接的，所以补充起来还比较慢 网站地址： https://gujianzhu.wiki