
Openbenchmarks for Agents
Compare and benchmark SaaS APIs with verified data to decide whether to build or buy.
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
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Compare and benchmark SaaS APIs with verified data to decide whether to build or buy.
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs

Test and monitor APIs with real-time insights and load testing capabilities.
@SajidAbuba74138 · X
A tool for developers

Assess your B2B AI or SaaS startup's biggest bottleneck blocking your next milestone.
@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.

Benchmark version-control systems and coding agents on realistic development tasks.
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

Automated security audits for GitHub repositories to catch secrets, auth issues, and deployment problems.
@emanueldev4 · X
Building Preflight a simple way to catch issues before your website goes live.

Manage API keys and usage budgets for coding-agent workflows with request routing.
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

Semantic caching reduces LLM token costs and latency for AI queries.
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]

Access AI agents and SaaS microservices with flexible pay-as-you-go pricing.
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

Try a high-performance React data grid component optimized for enterprise use.
@leethatengineer · X
Building LyteNyte Grid

Automate App Store Connect tasks like bulk pricing, screenshots, translation, and releases.
@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.

API for accessing institutional-grade financial data, optimized for AI and developers.
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

Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls