AI · alternatives · 2026
24 alternatives to Crossminds.ai – A knowledge graph indexed AI research video library
Crossminds.ai is an indexed video library of AI research content organized as a knowledge graph. Launched in December 2020, it serves researchers and students seeking to explore academic papers and presentations in… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Crossminds.ai – A knowledge graph indexed AI research video library launched in 2020; newer entries below may have overtaken it.
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AI Library▲406The biggest free library of 1000+ AI tools
2023 · library.phygital.plus · its alternatives →
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Memories.ai▲446ChatGPT for your video library, with unlimited video context
2025 · memories.ai · its alternatives →
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Paperguide▲645Discover, read, write and manage research with ease using AI
2024 · paperguide.ai · its alternatives →
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stackoverflow.ai▲421AI-powered, conversational search and discovery tool
2025 · stackoverflow.com · its alternatives →
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Hi there! When Supabase announced their recent hackathon, I thought it was a good time to build something to learn more about so many of the new AI models and tech out there. From the different techniques of embedding documents to the future RAG. With the rise of short form content with TikTok and Youtube. A lot more knowledge is in videos than ever before. Finding specific answers within millions of videos can be difficult for any one person to go through. So the question is if there is Google that indexes text on website making it easier to find based on the context of on your question,…
2023 · avse.vercel.app · its alternatives →
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AI agent for discovering scientific papers
2024 · undermind.ai · its alternatives →
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Second Brain▲281Hi HN, I'm Dom, a solo founder. I built Second Brain to solve a common issue I had with AI chats: the knowledge disappears. There’s no structure, no memory, and no way to reuse or build on them. So I built a tool that combines AI chat with a visual, interconnected knowledge system. Key features: - Save AI responses into editable docs (Notion-style Pages). - AI Visual board with multiple content & chat nodes (like Miro meets ChatGPT). - Add and chat with YouTubes, TikToks, Audio, PDFs, GitHub repos, Looms, websites, etc. - Organize using Projects and Smart Tags — then chat with full contexts.…
2025 · second-brain-lac-ten.vercel.app · its alternatives →
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InsightTube▲231AI insights from YouTube — fast, clear, effortless.
Nov 2025 · apps.apple.com · its alternatives →
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AI that synthesize and researches info across multiple apps
Apr 2026 · integrations.getspine.ai · its alternatives →
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AI Search integrated with notes, calendar, projects, etc
2025 · search.terramind.com · its alternatives →
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- 15Polymath▲87
AI workspace to organize and share your knowledge
2025 · trypolymath.ai · its alternatives →
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Xmind AI▲110Collaborative mind mapping tool enhanced with AI
2023 · app.xmind.com · its alternatives →
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Hey HN, I don’t know who else has the same issue, but: Textbooks often bury good ideas in dense notation, skip the intuition, assume you already know half the material, and get outdated in fast-moving fields like AI. Over the past 7 years of my AI/ML experience, I filled notebooks with intuition-first, real-world context, no hand-waving explanations of maths, computing and AI concepts. In 2024, a few friends used these notes to prep for interviews at DeepMind, OpenAI, Nvidia etc. They all got in and currently perform well in their roles. So I'm sharing. This is an open & unconventional…
Feb 2026 · github.com · its alternatives →
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Live AI trends from HuggingFace, ArXiv, GitHub, and more
Dec 2025 · its alternatives →
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Ressearch AI▲85AI workspace for reproducible scientific research
Aug 2026 · ressearchai.app · its alternatives →
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An embeddable cross-platform AI agent library written in C. Cloud and local LLMs, tool calling, long-term memory, voice, sessions, research mode, self-evolving loops. The SQLite of agent frameworks: small, portable, just works. - sqliteai/adam
May 2026 · github.com · its alternatives →
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Building a multi-agent system to analyze new AI research papers from 3 distinct perspectives: - Deep learning researcher agent: extract interesting deep learning methods that are related to paper - Theoretical mathematician agent: figure out theoretical mathematical concepts that are important in this paper and additional theoretical references that will be useful in understanding it - Skeptic agent: find unjustified assumptions that lack supporting evidence For this mvp, I used low-code agent platform StackAI (YC W23) and wrote about my process:…
2024 · stack-ai.com · its alternatives →
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Making Research Accessible, Effortless and Enjoyable!
2025 · researchbunny.com · its alternatives →
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HelpingAI▲22Hey HN, We’re the team behind HelpingAI, and we’ve been experimenting with ways to make LLM reasoning faster and more efficient, especially for complex tasks like math problems, coding questions, and logic puzzles. During a fine-tuning session of our older reasoning model, a bug accidentally introduced a think tag mid-response. Rather than break the model, it created a chain-of-thought style intermediate step — and the model got better. That bug inspired us to explore what we now call Intermediate Reasoning. We scaled this up by fine-tuning Qwen3-14B on 3 trillion tokens of…
2025 · helpingai.co · its alternatives →
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Hey HN! I've always found it hard to keep up with the latest AI research, so I built Arxiv Feed! https://arxiv-feed.vercel.app/ It's basically a feed of AI research papers + a one-liner explaining what problem its solving, etc. You can also click on any paper to get a TL;DR. Right now, I've only indexed a few hundred large language model papers, but will expand to indexing AI papers in other topics. Thinking of also adding a way for people to up-vote/down-vote papers. Would love to hear any thoughts/feedback! :D Thanks!
2023 · arxiv-feed.vercel.app · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →