@kr812345 · X

enterprise ai orchestration platforms to automate using tools. @

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

@promptboxxx · X

Have all your AIs in one place and never repeat a prompt

@slaven_ra · X

- recently added subscribe to Youtube channel feature to receive auto-summaries via email on each new published video

@CallSlim_ · X

@BotariaDotBot · X

This Tuesday I'm launching Botbugger on @ProductHunt 🚀 One AI reviewer gives you 10 "critical" bugs — half hallucinated. So I built two: Claude Code + Codex review your code independently, then cross-check each other. Real bugs with fixes, not noise.

@cyrus_zad · X

@nemesis_goals · X

Building an AI goal tracker that hates your excuses and roasts your failures.

PaperCheck — 论文提交前自查工具，提供 Turnitin 查重 + AI 写作检测报告，帮助学生在正式提交前发现问题

brandon_grutkowski · Product Hunt

Aurora Glass-box Quantitative AI for Humans and Agents

@AIDailyGuy · X

the form built for agents

@AIWMCX1 · X

Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.