@SamGhanm20522 · X

Check out what I just built with Lovable!

@nav_ux · X

Get your whole team's AI on the same page.

@claroboard · X

I built a whiteboard. The hardest part wasn't the coding. The hardest part was getting the first users. Want to give it a try?

jackcollinshq · Product Hunt

YAGNI Proactive agent teams you manage like humans

@murph_v12 · X

Vibe Coded Messi vs Ronaldo... Vote the Goat:

@matiastervonen · X

Over a year of building day and night my first app is live on the Google Play Store 🎉 Kurvi, an all-in-one tracker I built solo: gym workouts, nutrition, GPS runs, habits, to-dos, chat, a social feed and an AI coach, all in one app. Website:

璞奇 — 将书本、B 站、得到等学习内容生成练习，帮助掌握新知，支持 App、Chrome 插件和 Agent Skill - [更多介绍](https://mp.weixin.qq.com/s/HRRpKg2oAt_toZNTpY-foA)

@foldtaskapp · X

@HoodedMaverick · X

I Built an AI David Goggins Coach 👉

u/maybeImakemoney · Reddit

I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

@mark_ssesa9683 · X

Check out what I just built with Lovable!

u/Fun-Calendar8486 · Reddit

I am building yacdb.fyi, letting users ask natural-language questions about NFL data and turning them into queryable results. Yacdb.fyi goal is to allow users to construct questions about NFL data, think "Best 1st down conversion rate in 2025", and exposing a custom query layer on top (think SQL) allowing users to define their own queries to build data sets. They can chart in the app, using built in tooling, but can export the data as well if they want to use their own tooling. I am look