
x402vps — containers for agents. pay per hour.
Provision Docker containers for AI agents on demand, pay per hour with USDC on Base.
z1z2z3 · HN
X402vps – Docker containers for AI agents, paid per hour with USDC
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Provision Docker containers for AI agents on demand, pay per hour with USDC on Base.
z1z2z3 · HN
X402vps – Docker containers for AI agents, paid per hour with USDC

Trace, replay, and verify AI agent decisions with signed audit trails for debugging.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in

Jira plugin connecting test cases, requirements, and execution with traceability.
@pakosteve · X
Improve your SaaS quality when scaling (by register requirements and test via MCP)

Test large model API relay stations for consistency and authenticity with official versions.
@nodeloc_cc · X
🌈 7月,你好,MODELOC上线算力池。 MODELOC自上线以来,已检测2000余次,覆盖600+中转站,为众多AI用户提供的使用参考。 MODELOC近期进行了改版,上线了算力池及市场。 加入算力池 查看帖子: 用 MODELOC 便宜地调各家大模型:一次讲清它的价格体系

Free website security scanner checking SSL, headers, and compliance for instant trust scores and AI-guided fixes.
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.

Automate load testing for modern teams without complex setup or manual scripting.
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional

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

Complete quests to test Unicity Protocol infrastructure and earn XP.
@77auv7 · X
智能体最缺的不是算力,是底层安全。 @unicity_labs 社区版上线了,专为 AI Agent 打造的模块化 OS,走 Rust 微内核控制权限和成本,不用担心 Agent 乱跑。 尝鲜入口👇 #SphereQuests

Free website analyzer & SEO audit tool — scan any site for performance, SEO, security, accessibility & UI/UX issues in 60 seconds. Fix what hurts your ranking.
@WebScore_now · X

Buy virtual US and UK phone numbers for YouTube verification with instant OTP delivery.
@BagBagnal · X

Store and share prompts, rules, and context that AI tools like Claude Code, Cursor, and ChatGPT can access via MCP.
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

Check AI-generated outputs for errors and security issues before shipping to production.
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b