
策引 - 系统化投资分析平台 | 策略回测与组合管理工具
Backtest investment strategies, track portfolios, and analyze markets with AI assistance.
策引 — 全球市场技术分析工具,可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能,可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。
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Backtest investment strategies, track portfolios, and analyze markets with AI assistance.
策引 — 全球市场技术分析工具,可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能,可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

Backtest crypto trading strategies by describing them in plain English.
@torquant · X
building Torquant. you build and backtest trading/investment strategies using only natural languange

Audit your website for SEO, performance, security, and AI readiness in one scan.
petersas · HN
We gave our website-audit tool an MCP server so agents can fix issues

Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

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

Autonomous QA agents that test web and mobile apps to discover flows, find bugs, and replay test scenarios.
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.

Benchmark AI models by having them animate a 3D banana plant's full lifecycle.
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.

Discover which AI models run on your hardware with performance and pricing estimates.
cdnsteve · HN
Tokenstead, find AI models for your hardware

Compare AI model benchmarks across coding, reasoning, agents, and multiple evaluation domains.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

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

Screen and interview technical candidates with AI resume filtering and structured interviews.
@__singhritwik · X

Automatically scan your website for runtime security vulnerabilities.
@runtimeriot · X
Scan your site for security vulnerabilities.