Developer Tools1 day ago
ArgosX — A real human verified this app works
Get human-verified proof that your AI-built app actually works.
@ArgosXAI · X
- a tool for intelligently testing vibe coded apps, because AI can’t grade its own homework. 🙂
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Get human-verified proof that your AI-built app actually works.
@ArgosXAI · X
- a tool for intelligently testing vibe coded apps, because AI can’t grade its own homework. 🙂
Check your papers for AI content and plagiarism before submitting to Turnitin.
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
Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Upload videos to detect whether they're AI-generated or authentic using NVIDIA's microservice.
@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：
AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@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.
Set up a paid contact link for your bio where visitors deposit money to email you—reply to refund them or keep the fee.
@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."
Test your product idea against AI-simulated focus groups matched to your target audience.
@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.
Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models
Turn documents into a searchable wiki with AI-verified, fact-checked answers.
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.
Publish predictions on stocks, ETFs, and crypto, then track outcomes on a public leaderboard.
kkjh0723 · HN
I ran 12 AI bots predicting stocks for two months, every call public
Create landing pages to test startup ideas and measure email conversions.
@joffreyio · X
Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP