Productivity1 month ago
Tacit — Your AI Second Brain
Paste URLs to get AI transcriptions and summaries organized on an infinite canvas.
@trytacit · X
Building TACIT to stop stop saving and start applying
The full gallery
Tech stack
60 projects
Paste URLs to get AI transcriptions and summaries organized on an infinite canvas.
@trytacit · X
Building TACIT to stop stop saving and start applying
Ask questions about your company's documents through an AI chat interface.
@DD_Ferel · X
We built IntelliBase AI: a smart knowledge base that "learns" directly from your company's own documents, so HR & Ops teams can ask questions naturally instead of digging through files one by one. 🌐 Interested in trying it for your team? Comment or DM us
Branch and organize AI conversations, compare 300+ models, and manage project context.
rrr_oh_man · HN
Alyph, a manual transmission for LLM context
Scan websites for AI usage and test chatbots for bias and safety with this open-source EU AI Act compliance toolkit.
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff
Inspect AI reasoning traces and evaluate model groundedness in your AI systems.
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
Unified API gateway providing OpenAI, Claude, and Gemini-compatible access to multiple AI models.
@YinsenW_ · X
CherryIN 平台已经上线了DeepSeek v4 flash Vision-Exp 模型，为全球用户带来最领先的多模态AI 服务哈哈哈
Compare AI coding models on real tasks with live previews, cost tracking, and ELO rankings.
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.
Access 200+ AI models (Claude, GPT, Gemini) through one unified API with automatic failover.
@MixRoute_ai · X
Generate IT project roadmaps in 3 minutes using 9 AI agents.
@katerynakoss · X
Hi, Building — a multi-agent AI turning raw startup concepts into full 9-agent technical specs (architecture, stack & cost). First roadmap is signup-free! Would love your feedback if you test an idea 🚀
Multimodal AI for chat, image generation, game creation, and K-12 homework tutoring.
@OBSIDYNAI · X
Check out what I just built with Lovable!
Interactive map showing how exposed different jobs are to AI across 17 countries.
uxff · V2EX
做了一个 AI 职业风险地图，直观看看各个国家各个行业的工作受到 AI 冲击的程度 前段时间自己频繁搜索 AI 会如何影响我从事的职业，我周边的人从事的职业，然后又开始搜索哪些职业很难被 ai 代替。搜到的信息很零散，几乎没有数据完整、可视化好的网站。 所以我做了一个可视化网站： ## AI Job Risk Map https://aijobriskmap.com 网站使用 Treemap 展示不同职业的 AI 风险。每个方块代表一个职业： - 方块大小表示职业规模 - 颜色表示 AI 风险等级 - 可以按国家查看职业分布 - 可以比较不同职业和职业类别 - 支持查看具体职业的风险数据 目前主要覆盖美国、英国、加拿大、澳大利亚、新西兰及欧洲、亚洲的多个国家。风险评分关注的是职业中的任务有多少可能被 AI 自动化或显著改变，并不等同于预测某个职业会彻底消失。 这个项目仍在完善中，尤其希望听听大家对下面几个问题的意见： - 风险地图是否容易理解？ - 你更关心“职业被替代”，还是“职业会如何被 AI 改变”？ - 除了风险、薪资和就业规模，