Founders: what’s one SaaS or micro-product you launched with zero expectations that unexpectedly became a huge revenue winner?

Me in 2020: Carefully reading documentation and writing clean architecture. Me in 2026: "Make it work, don't break existing features, no mistakes pls." ​Are you Team Real Coder or Team Vibe Coder today? 😅👇

Buying a new $12 domain name gives you more dopamine than actually finishing the side project. ​How many unused domains are sitting in your account right now? 😅👇

If you’re building in Tech and haven’t hit $1k MRR yet, let’s connect. 🤝 ​I want to follow real progress in the trenches not fake screenshot gimmicks

start a chicken farm🐓

You have $100, a Mac device, and Wi-Fi. Everything else is gone. ​As a tech founder, what’s your exact Day 1 move to get back to $5k/month?

How I built my AI startup with $0 infrastructure cost: the 2026 Startup Credit Playbook. ​Step-by-step on how to stack AWS, Microsoft, Google, & NVIDIA programs to get $100k+ in free credits and 18+ months of runway. ​Read the full guide here 👇

everyone talking about MRR with IAP method. You missed this OG👀

Looking to fill my timeline with more actual builders this week. ​If you post about: • SaaS & B2B products • AI engineering & tech stacks • Startup growth & distribution • Build in public lessons (wins & failures) ​Let’s connect! 🤝

First it was legacy PHP getting hit with endless RCEs. Then enterprise Java getting humbled by deep dependency zero-days. ​People love roasting PHP and Java for being "old," while quietly shipping modern apps with 1,500 unchecked packages written by AI agents. ​Be honest, after PHP and Java, what language or ecosystem do you think is the next ticking time bomb to get hit hard? 👇

Building an AI SaaS in 2026 feels completely different than it did 2 years ago. ​Back then: Wrap an OpenAI or Claude API in a clean UI, launch on Product Hunt, and watch users pay. ​Today: • Users have massive subscription fatigue. • Competitors can clone your core feature over a weekend using AI coding agents. • If you don’t optimize model routing, LLM API bills will quietly eat your entire margin. ​The real moat isn't your prompt or the underlying model anymore. It's proprietary workflow integration, distribution, and switching costs. ​For founders and devs building right now: what’s your biggest bottleneck this month engineering/infra costs or distribution/getting paying users? 👇

This year’s #shipaton was exciting, exhausting, and emotionally intense. It challenged our energy, mind, and hopes in so many ways. But every experience taught us something valuable. Grateful for the journey and all the lessons learned. See you next year🔥

This is so gooood, thanks @AnthropicAI

I’ve been using Kiro to build an apps, and two of them have already made it to production. Everyone is talking about Codex and Claude Code. But I think Kiro deserves a seat at the table. I wrote about why 👇

Submitted on the last day! 🚀 #shipaton Meet Co-Talk an AI-powered tool for rehearsing difficult conversations. With Co-Talk, you can simulate conversations with multiple people in the same room, helping you practice, prepare, and explore different ways a difficult conversation might unfold. Built, shipped, and submitted just in time. 🔥

still doing great without paid ads. ASO is still work but i've been trying a different approach