@bransburyx · X

@sagar11ashutosh · X

My first SaaS stats: Launched: July Users: 5 Paid users: 0 Revenue: $0 💀 What am I doing wrong?

felipemayamuniz · HN

AletheionAGI – Grounding enforcement for AI agents

@Ebrahim_Rio · X

Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.

@akshaysolenk · X

Just launched. Building in public.

u/george_owen123 · Reddit

What I learned building an AI chatbot: the ecom tools are everywhere, but service businesses are completely underserved Spent the last few months building Chirpy, an AI receptionist for websites, with my co-founder. The biggest thing I've learned is a positioning one, and I think it applies well beyond my niche. When we started, we assumed we'd compete in the ecommerce chatbot space, because that's where all the money and attention is. But it's extremely saturated. Gorgias, Tidio, Intercom,

ariavikram · HN

Delphi – Build your own AI trading agent in seconds

u/inc_23 · Reddit

Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon

jimmyhumania · Product Hunt

answerFORGE Find out why AI search engines don't see you

@abdullah_twt23 · X

Fuk dis shit