开发者工具2 days ago
Model Map
Compare today's leading AI models by price, intelligence and more.
@spectragai · X
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60 projects
Compare today's leading AI models by price, intelligence and more.
@spectragai · X
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～
Answer guided questions about your business and watch your model build live. Get an investor- and lender-ready spreadsheet in about 20 minutes.
@YKoltashev · X
为外包销售团队打造的AI线索智能CRM
@LeadForgeLLC · X
Building the operating system for outbound agencies. AI, territory discovery, team collaboration, and execution in one workspace.
Ask multiple leading AI models the same question and compare their answers side by side.
@christosag · X
🚀 Pre-Seed | MVP Validation ⚡ Multiple MVPs live - with more continuously shipping. 🔎 RAG - verifiable doc search 🏥 Health - scheduling 🤖 AI Compare - consensus 🏗️ Builder Scrutiny - contract intel 🤝 Angels + Pre-Seed VCs welcome
一个让产品和创作者竞价排名的公开排行榜。
@meepodev · X
是的， 使用的开发框架使用 ，来自 @indie_maker_fox 的佳作，我复刻 outbid，仅仅用了 40 分钟就上线了，从购买域名到发布上线 我已经用 tanstarter 来构建了超过 10 个站点，在 vibe coding 的时代，你需要一个好用的现代化的，AI 友好的框架，我已经无数遍鼓吹 tanstarter 了
LeadsBox is an AI-powered CRM for social media sellers. Track every DM lead from Instagram, WhatsApp, and Facebook Messenger — manage your sales pipeline, generate invoices, and se
@chizoba_victory · X
Headstart finds your ideal customers and researches each one, so you only spend time on leads worth pursuing.
@bohdanbasov · X
No need to ask me twice
Discover companies and decision-makers from lawful public sources.
@Akos_solution · X
Link me with this "scrape leads" for collab... building something similar
查看和对比主流AI模型的公众意见和基准评分。
u/TasteMysterious5285 · Reddit
I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi
Get daily funding signals for newly funded companies, with verified decision-makers synced to Slack and HubSpot, so your team can act when buying intent is highest.
@AgentsVerseAI · X
Find clients daily, on autopilot, ready to buy your product. With verified contact information of decision makers (email, title, LinkedIn Profile)
