开发者工具1 week ago
LLM Leaderboard | Redactle
对比语言模型在 Redactle 谜题上的表现排名。
pampas · HN
Redactle LLM Leaderboard
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60 projects
对比语言模型在 Redactle 谜题上的表现排名。
pampas · HN
Redactle LLM Leaderboard
上传供应商合同进行 AI 并排比较和风险检测。
@nbOlveira · X
A vendor comparison software
浏览中转站点，对比汇率、初始额度、分组和性能数据。
@mutou1852 · X
做了一个中转站点收录网站，展示倍率、初始额度、可用分组和实测性能数据。 希望帮大家更快找到适合自己的站点。
Name the U.S. State incentive programs your startup can actually apply for. Instant report for 450 NIS, no VAT. Free preview shows program count and region fit.
@dan72ros · X
在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
Inslit 是 UX 研究平台，运行调查和可用性测试来收集用户洞察。
@inslit_ · X
Check out our User Research and testing platform: We have opened registrations for our testers. So go and be a tester at Inslit and get rewarded for your work.
对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X
@imryanarya007 I built a simple stock index statistical compared, simplified into small table for quick checks. It covers 40+ major stock indices, the URL is: https://t.co/Sz82eduE
@IndexYTD · X
I built a simple stock index statistical compared, simplified into small table for quick checks. It covers 40+ major stock indices, the URL is:
Ad-free Vedic astrology engine on the Swiss Ephemeris. Compute your sidereal chart, dasha timing and planetary strengths — then query it with AI.
@saketposwal · X
Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X
对比多家媒体的新闻报道，获取平衡的AI摘要。
u/Puzzleheaded-Neat548 · Reddit
News Aggregator (Concord) Hey everyone, I'm a computer science student and I've spent the last several months building a project called Concord . The idea came from being frustrated with having to read five or ten different articles just to understand one story. Instead of only aggregating headlines, Concord tries to answer: • What actually happened? • What facts do multiple sources agree on? • What information is still uncertain? • What changed since the story first broke? Some
