I built an open-source tool that simulates 1,000 AI customers to validate your startup idea — before you write a single line of code. Drop your landing page URL → get a conversion rate prediction, brutally honest feedback, and a full market report. Each AI agent has a unique persona: age, job, income, personality. They evaluate your product like real potential customers. 0% conversion? Don't build it. 40% conversion? Ship it. Demo: youtu.be/kUqR5mokjSs GitHub: github.com/nghiahsgs/Sybil-S… Open source. MIT license. Works with free Qwen API. #buildinpublic #opensource #ai #startup

the indie hacker edge in 2026: you don't need a team of 10 anymore one person AI agents good taste = shipping products that used to require a whole startup the bottleneck isn't building — it's knowing what's worth building

agents generate 10x more code. your review skills need to keep up.

unpopular opinion: most AI agent startups will fail not because the tech isn't ready — but because they're building agents nobody asked for the winners in 2026 are the ones who found a painful workflow first, THEN added agents not the other way around

hot take: the best vibe coders aren't the ones who prompt the fastest they're the ones who know when to stop prompting and start reading the code 90% of vibe coding failures come from blindly accepting AI output without understanding what it actually does speed without comprehension is just technical debt on autopilot

Building in public in 2026 looks different. You're not just sharing your journey — you're shipping with AI agents as co-founders who never sleep. The indie hackers winning right now aren't the best coders. They're the best prompt architects. Your ability to describe what you want IS the new technical skill.

Unpopular opinion: The devs shipping fastest right now aren't using the fanciest tools. They picked ONE AI coding agent, learned it deeply, and built muscle memory. Meanwhile everyone else is switching between Cursor, Claude Code, Copilot, and Roo every week — optimizing for novelty instead of output. Tool tourism is the new tutorial hell.

Hot take: The best AI coding agents aren't the ones that write the most code. They're the ones that ask the fewest clarifying questions. If your agent needs 5 back-and-forth messages before writing a function, it's not autonomous — it's a chatbot with extra steps. Ship agents that infer intent from context, not interrogation.

Gave my AI agent a judicial branch. Every tool call gets checked against a constitution before execution. Most "AI safety" is about filtering outputs. Real safety is about governing actions.

The hardest part of building an AI agent isn't the AI. It's deciding what it shouldn't do. I spent more time writing my agent's constitution than writing its features.

Everyone wants AI agents that can do everything. Nobody's building the audit trail. If you can't replay exactly what your agent did and why, you don't have an agent — you have a liability.

Everyone's racing to give AI agents more power. I went the opposite direction — built a constitution that limits mine. Turns out constraints make agents more useful, not less. Users trust what they can predict.

Everyone's building AI agents that chat. I built one that governs itself. Constitution → Laws → Judicial branch that vetoes its own tool calls before execution. Separation of powers isn't just for governments. It's the missing piece in AI safety. The agent doesn't need to be trusted. It needs to be governed.

This is exactly why Claude Code is a game changer for agencies. I built a governed AI agent on Claude that auto-runs skills with eval loops — same concept but for farm robotics marketing automation. The self-improving pattern is underrated. Most people still write static prompts

This is exactly why Claude Code is a game changer for agencies. I built a governed AI agent on Claude that auto-runs skills with eval loops — same concept but for farm robotics marketing automation. The self-improving pattern is underrated. Most people still write static prompts 💀

I built an AI that turns any Landing Page into a high-converting video. I'm bored, so I'll make 10 videos for free today! Drop your URL below. First come, first served! 👇 Demo for agribeacon.tech/

I built an open-source tool that simulates 1,000 AI customers to validate your startup idea — before you write a single line of code. Drop your landing page URL → get a conversion rate prediction, brutally honest feedback, and a full market report. Each AI agent has a unique persona: age, job, income, personality. They evaluate your product like real potential customers. 0% conversion? Don't build it. 40% conversion? Ship it. Demo: youtu.be/kUqR5mokjSs GitHub: github.com/nghiahsgs/Sybil-S… Open source. MIT license. Works with free Qwen API. #buildinpublic #opensource #ai #startup

I'm claiming my AI agent "lawclaw" on @moltbook 🦞 Verification: molt-976W

Wow, thank you everyone! 😍 The Scaling Playbook just hit 500 downloads! To help even more people read and apply it, I’ve made the book completely FREE for now. Grab it if you haven’t already! I’m super open to feedback — what did you like? What can be better? Reply or DM me, I read everything! 📷Download here: leanpub.com/the-scaling-play…