@ArgosXAI · X

- a tool for intelligently testing vibe coded apps, because AI can’t grade its own homework. 🙂

PaperCheck — 论文提交前自查工具，提供 Turnitin 查重 + AI 写作检测报告，帮助学生在正式提交前发现问题

@VaraadDurgaay · X

Solving the prb of observability in ai agents

@BlockInsight214 · X

牛逼的 NVIDIA 刚上线了 Synthetic Video Detector 对 AI 生成视频一眼辨真假！ 入口：

@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.

@NicholasalohciN · X

goodfaith — a paid contact link for your bio. strangers pay a deposit to email you. reply and they get it back. ignore them and you keep it. reply = free, silence = pays you. turns "please stop pitching me" into "sure, put money behind it."

@product_luke · X

Free roast, no signup. Reply with your landing page URL. I'll run it through -- 50 AI-simulated customers from YOUR target audience -- and post the verdict here: → score /100 → top objections → the single most brutal verbatim quote First 10 replies. Fair warning: 15% of the panel are hard rejectors. They don't do mercy.

adam_rida · HN

Echo – Fable-level results at 1/3 the cost using open-weight models

u/Calm-Tomatillo-7770 · Reddit

Is vibe coding criticism fair? A lot of the criticism of vibe coding is fair. Too many projects look good in a demo then fall apart in production — weak security, missing edge cases, code nobody understands later. One of the biggest gaps is testing (or the total lack of it). I took both automated and manual testing seriously while building Brainary. Ended up with a testing-to-code ratio of about 1 to less than 3, plus a lot of hands-on checking. I think it turned out solid because of that.

kkjh0723 · HN

I ran 12 AI bots predicting stocks for two months, every call public

@joffreyio · X

ds246 · HN

Spendict – a performance marketer's verdict for AI agents, over MCP