@vsyble_gtm · X

mathurpriya19 · HN

Kalytera – Find out why your AI agent failed, step-by-step

tozcoded · HN

Show HN: I built a personalized AI newsletter you configure by replying to it

@shubhdholakiya_ · X

building an autonomous ai agent sales team. tired of standalone apps, so i built a multi-layered sales brain that actually executes the pipeline and closes the deals.

u/OGMYT · Reddit

I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis

@RostaHQ · X

SaaS: Building in public. Follow our journey on X.

u/Spacmonitor · Reddit

Do you need any help with getting traction? Read this: Hi, the hard part of running a SaaS is not building it contrary to popular belief. Based on my experience selling over $1M in software online, the most important thing is distribution. There are 100s of books about finding the best startup ideas but rarely one on getting traction with the right distribution. This is why I launched https://vonto.ai which helps with getting traction for your business. Connect your LinkedIn account,

@CRYPtoKong32 · X

also Join our $MUSKOX Ai Ecosystem built on Base Coin. 🪙 $AGWC Websites:

u/CollectionAshamed148 · Reddit

Would you validate this further, or is the problem not strong enough? I’m testing an idea called Orbit. Instead of searching profiles or sending cold DMs, you describe who you need. Orbit suggests one relevant person and connects you only after mutual interest. The current version is deliberately simple: • Simulated people and consent • No connected LLM • No database or permanent storage It’s a prototype built to answer one question: Would people trust and use an a

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,

@AiShivam · X

AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

jaya2424 · HN

Emem Channel - Signed collaboration between independent AI agents