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14 projects
Play strategic games against AI models and see how different LLMs rank on an objective leaderboard.
masterchef2209 · HN
I created a platform to check which AI models is the best gamer
AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@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.
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
Read AI-summarized daily news on global AI developments.
@ChenglongW98225 · X
做了一个AI新闻日报，感兴趣的可以点下方链接看一下 有什么需要改进的也可以直接评论我，我都会认真回复
Access thousands of AI models through a single OpenAI-compatible API.
@mageofweb3 · X
Chat with AI models, compare them, and vote to shape a community leaderboard.
u/Rabus · Reddit
I got TestingModels too overcomplicated over the month it is running: looking for some feedback how to make it more useful and simpler I run a benchmark like arena.ai , but with pre-generated prompts. So far, nearly 6k people came in and like 30k comparisons has been made - which means the thing is genuinely useful for people to compare the models. The problem is the more features i started adding the more overblown and complicated UI became - like old internet explorer tab bars Old: ht
Run a $9 AI visibility audit across OpenAI, Claude, Gemini, and Grok. See where AI overlooks your brand, who appears instead, and what to fix next.
@kylekane · X
Access 207+ AI models from different providers through a single unified API.
TaylorM492 · HN
InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim
Get personalized AI software stack recommendations based on your business bottlenecks, stage, and budget.
@SublimeDr85198 · X
Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X
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
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]
