
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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19 projects

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

Compare latency and throughput performance across LLM API providers.
@QAInsights · X

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

Validate your SaaS idea's defensibility with scoring, moat analysis, and competitor gaps.
@saralsachan · X

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

Monthly SaaS leaderboard of the best software tools. Discover top CRM, AI, marketing, and developer products — or pay to rank this month. Resets every month.
@srijxnnn · X
- monthly saas rank

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.

Browse and test OpenAPI endpoints, compare specs, and generate mock data in your browser.
@_codewithshahid · X

AI audit tool that analyzes your SaaS product for launch readiness and generates a prioritized report.
@manoharkale1110 · X

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