
Openbenchmarks for Agents
使用已验证数据对比和基准测试 SaaS API,决定是否构建或购买。
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
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使用已验证数据对比和基准测试 SaaS API,决定是否构建或购买。
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs

测试和监控 API,获得实时见解和负载测试功能。
@SajidAbuba74138 · X
A tool for developers

识别阻碍你的B2B AI或SaaS初创企业发展的最大瓶颈。
@FounderUnstuck · X
If you’re building a startup and want to identify your biggest bottleneck, try the free assessment: 🔗 We’d love to hear if the results match your experience.

对版本控制系统和编码代理进行性能基准测试。
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler

为GitHub仓库运行安全审计,检测密钥泄露、认证问题和部署漏洞。
@emanueldev4 · X
Building Preflight a simple way to catch issues before your website goes live.

为代码智能体工作流管理 API 密钥和使用预算。
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

一个提供AI代理和SaaS微服务的平台,支持灵活的按使用量付费。
u/Ordinary_Recover_755 · Reddit
The technical hurdles of building a "pay-as-you-go" AI model to avoid subscription fatigue Hey everyone, I’ve been tracking the ongoing debate around subscription fatigue. Most users don't want a $20/month commitment just to run a 5-minute code explanation or API analysis once a week. To solve this for myself, I spent the last few weeks building a hybrid microservice architecture using Next.js, Supabase, and the Claude API . I wanted to share a few technical and billing challenges I ra

SaaS Ranks is a live pay-to-rank leaderboard for SaaS products. No algorithms, no fake reviews — rank is the bid, nothing else. Submit your product and outbid competitors to claim
@priyazsh · X

试试这个高性能的 React 数据网格组件,已针对企业使用优化。
@leethatengineer · X
Building LyteNyte Grid

自动化App Store Connect任务,包括批量定价、截图、翻译和发布。
@RedjanHysa · X
App Store Connect makes simple things painful, so I built . Localizing pricing across every available storefront, writing and translating all app's metadata, editing screenshots in one tool and uploading them in another... well, that just takes time from actually building. With MetaRun you have everything in one place: bulk pricing with ppp-based localization, AI-translated metadata, screenshot studio where you edit screenshots, translate them in every language you support and publish them with one click, and many other tools. Oh, you can also use MetaRun directly in Claude Code, Codex, or whatever agent you're using, via MCP, so you never leave your IDE :). Check it out and tell me what you think.

机构级金融数据API,专为AI和开发者优化。
u/wisesheets · Reddit
Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy