@VMS2907 · X

Get your office to get meaningful output from AI -

@zeynepavann · X

Thank you to everyone who joined our "map your TAM from the terminal" session with last week. We built live in the terminal using Claude Code and the MCP. I wrote up the whole thing afterwards. The seven stages, why each one exists, what to do with the list once you have it, and the outreach half we covered at the end. The recording is linked inside. The skill is public too, so you can run it on your closed-won book. You bring your own accounts; the engine does the expansion, scoring, and contact-finding. Comment "TAM" and I'll send you both skill and guide.

@SiddarthaDevops · X

@kr812345 · X

enterprise ai orchestration platforms to automate using tools. @

@AadyaAI · X

Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

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,

k7vin · HN

Lens AI – generate your JSON-LD files and keep them up-to-date

@anubhavkalita · X

lcmchris · HN

Sous.bio – your sous chef in the lab

@tokenrouter · X

QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手，不需要登录

u/frontend_edy · Reddit

i just did it 🤩 ! crossed $273 in revenue with my saas. After months of building, redesigning, and questioning whether anyone would actually pay for what I built, I finally crossed $273 in total revenue . It’s not life-changing money, but it’s the first real proof that someone is willing to pay for software I created. A few things I’ve learned so far: ⁠Shipping beats endlessly polishing features. ⁠Talking to users is more valuable than guessing what they want.