开发者工具3 weeks ago
Maina Voice — Speech to Text & Model Benchmarking
比较多个语音转文字引擎的速度和准确度，支持本地隐私保护。
Open source
@alvaisy · X
finished voice to text small web app for my own itch. it's opensource. use openrotuer key. and use it with 4 models.
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比较多个语音转文字引擎的速度和准确度，支持本地隐私保护。
@alvaisy · X
finished voice to text small web app for my own itch. it's opensource. use openrotuer key. and use it with 4 models.
PRcade 通过团队排行榜和分析可视化GitHub代码审查性能
u/SnooStrawberries827 · Reddit
my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back
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
Describe any niche or market and get a complete AI-generated strategy report in under a minute — search demand, competitor analysis, TAM/SAM/SOM market sizing, pricing, a go-to-mar
@hidayata_ · X
Save hundreds of hours by validating your idea before jumping into your next venture
在 leaderboard 上按官方基准对比 AI 大模型的性能排名
fcten · V2EX
做了一个大模型 leaderboard 网站 最近一个月 CodeX 疯狂送重置，token 根本用不完，顺手做点东西。 地址：[知行录]( https://leaderboard.cn/) 排行依据主要为模型官方基准测试成绩。非主观排名。 数据会持续更新。如果有点用，欢迎各位 v 友收藏～
对比和评估 AI 模型在编码、推理、代理和其他基准测试中的表现。
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities
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
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@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.
在付费排名排行榜上排名GitHub仓库及开发工具。
@OngDevLab · X
在排行榜上发布任务以基准测试不同AI代理和工具。
u/Ruqii-ruqii · Reddit
I built an open Eval to compare different AI agents/tools/pipelines and find which solution works the best (not very pretty╥﹏╥, but practical) The original reason I built it was because I wanted to find a good PDF parser. Every PDF parser claims to be the best, but none of them can get my PDF 100% correct. They would either miss numbers or hallucinate some. Or they get PDF A and B correct but failed at C. Or get C correct but failed at A and B. Very frustrating. So I create
NEURL-OS is a free 2-minute weekly calibration that transforms your weekly habits into a predictive model of your performance.
@NEURL_OS · X
Hey we’ve built NEURL-OS, a tool that turns daily habits into data and a weekly capacity score. For founders juggling constant decisions, it helps reveal what’s fueling your focus and output—and what’s quietly draining it. Try it free:
缓存和重用深度研究报告，避免重复运行费用高的研究查询。
u/illerminati · Reddit
Caching Deep Research Output Hi r/SideProject . Just sharing a side project I've done in the recent weeks that I think might be useful for some. I use deep research at work to understand unfamiliar software domains, and in my personal life to compare products before buying them. I can’t use my company's LLM for personal use, and the publicly available deep-research products (like Claude and OpenAI) are too expensive for my taste, so I built a DeepSeek-powered alternative. The pipeline s