金融商业1 month ago
Coneview — Honest AI Market Forecasts
用校准概率和回测提供股票、加密货币及商品的 AI 价格预测。
@iqbal_saqi2522 · X
- An AI-based Prediction System
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用校准概率和回测提供股票、加密货币及商品的 AI 价格预测。
@iqbal_saqi2522 · X
- An AI-based Prediction System
用生产追踪镜像来测试AI代理，捕捉错误和性能回归。
aisinghal
根据已发布的代理标准评判AI产品,包含可检查证据和社区投票。
@katyorby · X
i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@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.
BattleTester 用 AI 自动扫描 Web 应用安全漏洞并生成修复建议。
@OvadiaYove9462 · X
Too many security issues in vibe coded apps, so I built Automatic AI pentester, crawls and scans your site, runs a full suite of exploit tests, and uses AI to verify each one (cuts false positives) Full report, dashboard, and AI-ready fix instructions
VITALOOP helps you make sense of symptoms, lab results, biomarker patterns, safety context, retests, and progress over time with AI.
@AlekseyBombela · X
Notra runs a real pentest on your live site and returns verified vulnerabilities — each proven with the exact request and response, and a fix in plain English. No security hire req
@Notrasecurity · X
We’re building Notra and looking for early feedback from founders: does the security report make the next step clear? Try a free audit on a domain you own.
UI Verify - AI驱动的可视化测试工具，区分预期改动和真实缺陷。
@igorluchenkov · X
Hey Yuhao! Been running a lot of agents while building UI and built a tool for visual testing that integrates nicely with agents and gives your agent a way to make sure it didn't introduce any UI regressions:
为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
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
根据需求自动生成测试用例和脚本。
@SEOexpertpkk · X
AI-Driven Test Automation Platform
AI评判的辩论练习及实时表现反馈。
@prof_safezone · X
Gambling on debate rounds with AI judges.
Product leaderboards decided by an adversarial AI jury. Every rank is taken from the product that held it, in a trial with graded evidence and published reasoning.
@oleks_i · X