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The AI research workspace built for source-heavy work. Upload PDFs, papers, transcripts, audio, videos. Chat across all of them with GPT, Claude, or Gemini. Every answer cites the exact source page. 200,000+ researchers, consultants, analysts.

Otio

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60 papers. One question. Every answer cited. Upload PDFs, transcripts, videos, web pages. Chat across all of them with any AI model. Every answer cites the exact source page. 200,000+ researchers, consultants, analysts use Otio.

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Be the Answer. Rank Across Google & AI. "SEOitis" is live SEO is no longer just about ranking on Google. ChatGPT, Claude, Gemini, Perplexity, and Grok are answering your customers questions - with or without you. We built SEOitis to fix that. > Track how AI engines talk about your brand > Find the gaps > Research, write, and publish - one pipeline 🔗

Kalash

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> downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing happened to my files > realized the difference > browser AI waits for you to bring your files > Claude Code goes into your folder > all 45 PDFs > all the transcripts > all the messy Excel sheets > reads them all > remembers them session after session > you never re-explain your project again > so before your next literature review, do this: > create a folder with all your papers > open it in Claude Code > write a CLAUDEmd with your role, field, and writing style > ask it to screen every PDF using your inclusion/exclusion criteria > let it rename, extract, and summarize while you think > the AI didn't replace your scholarship > it eliminated the 6 hours of grunt work before it starts

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Blum

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Researchers in 2026 aren’t just searching papers. They’re working with AI. Introducing SciSpace — the ultimate AI research platform built to help you read, understand, and write research faster. From breaking down complex PDFs to generating insights and accelerating literature reviews, SciSpace turns hours of research into minutes. 🎓 Built for researchers. ⚡ Powered by AI. 📚 Designed for real academic workflows. Try it now 👇 💸 Exclusive Discount Codes 🌍 Global Users: FTAIS20 → 20% OFF Premium/Advanced (Monthly) FTAIS40 → 40% OFF Premium/Advanced (Annual) 🇮🇳 Indian Users: FTAIS30 → 30% OFF Premium/Advanced Plans Upgrade your research game today. SciSpace

Researchers in 2026 aren’t just searching papers. They’re working with AI. Introducing SciSpace — the ultimate AI research platform built to help you read, understand, and write research faster. From breaking down complex PDFs to generating insights and accelerating literature reviews, SciSpace turns hours of research into minutes. 🎓 Built for researchers. ⚡ Powered by AI. 📚 Designed for real academic workflows. Try it now 👇 💸 Exclusive Discount Codes 🌍 Global Users: FTAIS20 → 20% OFF Premium/Advanced (Monthly) FTAIS40 → 40% OFF Premium/Advanced (Annual) 🇮🇳 Indian Users: FTAIS30 → 30% OFF Premium/Advanced Plans Upgrade your research game today. SciSpace

AI by she.

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Today, we're announcing $30M in new funding to build the AI OS for Research. 2.5M researchers start their work with Consensus every month. Their work is the foundation that all progress is built upon. We could tell you our story. We'd rather they did👇

Consensus

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I had 14 tabs open just to keep up with AI. arXiv, Papers With Code, every leaderboard, HuggingFace, half a dozen RL-env hubs... So I built one screen for all of it. The Bloomberg terminal for AI research. It's called Sophon 🧵

I had 14 tabs open just to keep up with AI. arXiv, Papers With Code, every leaderboard, HuggingFace, half a dozen RL-env hubs... So I built one screen for all of it. The Bloomberg terminal for AI research. It's called Sophon 🧵

serafim

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Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup → Claude Code connects to NotebookLM via a command line interface → Claude searches YouTube, finds relevant videos, uploads them as sources automatically → NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers → Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever → No more 20 browser tabs you never close → No more copy-pasting outputs into random notes → No more hallucinated answers with no sources to back them up → 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal → Search YouTube for relevant videos on any topic and rank by relevance → Create a new NotebookLM notebook and add 20 sources in parallel automatically → Ask questions and export cited answers directly into Obsidian with wikilinks → Set custom personas per notebook - concise, no filler, no preamble → Generate audio overviews and save them as MP3 files into your vault → Build mind maps, flashcard decks, and research dashboards from your sources → Search arXiv for academic papers and feed them directly into NotebookLM → Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output → Every answer arrives with clickable citations that link to the exact passage in the source video or article → Graph view shows connections between all 20 sources and the topics they share → Q&A log tracks every question asked and the grounded response received → Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today → Academic research with arXiv papers, full citation traceability → Competitor analysis from their YouTube channels and blog posts → Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates → Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week → Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything

Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup → Claude Code connects to NotebookLM via a command line interface → Claude searches YouTube, finds relevant videos, uploads them as sources automatically → NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers → Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever → No more 20 browser tabs you never close → No more copy-pasting outputs into random notes → No more hallucinated answers with no sources to back them up → 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal → Search YouTube for relevant videos on any topic and rank by relevance → Create a new NotebookLM notebook and add 20 sources in parallel automatically → Ask questions and export cited answers directly into Obsidian with wikilinks → Set custom personas per notebook - concise, no filler, no preamble → Generate audio overviews and save them as MP3 files into your vault → Build mind maps, flashcard decks, and research dashboards from your sources → Search arXiv for academic papers and feed them directly into NotebookLM → Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output → Every answer arrives with clickable citations that link to the exact passage in the source video or article → Graph view shows connections between all 20 sources and the topics they share → Q&A log tracks every question asked and the grounded response received → Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today → Academic research with arXiv papers, full citation traceability → Competitor analysis from their YouTube channels and blog posts → Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates → Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week → Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything

Dami-Defi

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I built a Claude Code skill that allows it to generate a deep research report over any collection of complex docs (PDFs, Word, Pptx)….and generate word-level citations and bounding boxes directly back to the source! 📝 Check out “/research-docs”. 1. It parses out text and bounding boxes from every doc with liteparse, in seconds. 2. It then generates a full HTML report of the outputs that let you see word-level citations in each page. Raw Claude obviously has deep research capabilities, but it lacks an audit trail back to the source. This skill gives you a researched report that can be audited by others. Check it out: LiteParse:

I built a Claude Code skill that allows it to generate a deep research report over any collection of complex docs (PDFs, Word, Pptx)….and generate word-level citations and bounding boxes directly back to the source! 📝 Check out “/research-docs”. 1. It parses out text and bounding boxes from every doc with liteparse, in seconds. 2. It then generates a full HTML report of the outputs that let you see word-level citations in each page. Raw Claude obviously has deep research capabilities, but it lacks an audit trail back to the source. This skill gives you a researched report that can be audited by others. Check it out: LiteParse:

Jerry Liu

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We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

Google AI Developers

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🚨 Most AI is fast. But often wrong. MiroMind flips that. It doesn’t just give answers — it proves them. • Deep research across 100s of live sources • Fully verifiable, replayable reasoning • Multi-agent verification (Planner → Verifier) • Predictive insights with real probabilities Built for people where accuracy matters. Engineers. Analysts. Researchers. This is trustworthy AI. 🌐 📲

🚨 Most AI is fast. But often wrong. MiroMind flips that. It doesn’t just give answers — it proves them. • Deep research across 100s of live sources • Fully verifiable, replayable reasoning • Multi-agent verification (Planner → Verifier) • Predictive insights with real probabilities Built for people where accuracy matters. Engineers. Analysts. Researchers. This is trustworthy AI. 🌐 📲

Tulsi Soni

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Stop paying for 5 different AI subscriptions. ChatLLM by Abacus AI puts GPT-5.5, Claude 4.7, Gemini 3.1, DeepSeek-V4, Kimi-2.6 in one place. One prompt → routed to the best model → output. Pay once. Use all of them.

Stop paying for 5 different AI subscriptions. ChatLLM by Abacus AI puts GPT-5.5, Claude 4.7, Gemini 3.1, DeepSeek-V4, Kimi-2.6 in one place. One prompt → routed to the best model → output. Pay once. Use all of them.

Abacus.AI

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A CHINESE DEVELOPER TURNED AI INTO A SECOND BRAIN THAT NEVER FORGETS. And here's exactly how he did it — works with any AI, Claude, Kimi, or Gemini. Every source you add makes the whole thing sharper — including the notes from months ago. Set it up once in 25 minutes. Never start from an empty chat again. Full A–Z guide below.

A CHINESE DEVELOPER TURNED AI INTO A SECOND BRAIN THAT NEVER FORGETS. And here's exactly how he did it — works with any AI, Claude, Kimi, or Gemini. Every source you add makes the whole thing sharper — including the notes from months ago. Set it up once in 25 minutes. Never start from an empty chat again. Full A–Z guide below.

Kirill

41,077 Aufrufe • vor 11 Tagen

Claude Opus 4.7 + YouTube Research = SEO Gold AI slop will kill your SEO. YouTube content arbitrage will save it. I built a Claude prompt that finds topics where the top videos cover the answer in depth, but the ranking blog posts barely scratch it. You write the page that should have ranked all along. Reply "prompt" and I'll send it.

Claude Opus 4.7 + YouTube Research = SEO Gold AI slop will kill your SEO. YouTube content arbitrage will save it. I built a Claude prompt that finds topics where the top videos cover the answer in depth, but the ranking blog posts barely scratch it. You write the page that should have ranked all along. Reply "prompt" and I'll send it.

borja

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FREE Claude Opus 4.8. FREE GPT 5.5. All free. 7,200 credits. I tested it myself - works. The platform is Gumloop(.)com. Chat interface plus connections into different services. Company raised $50M Here's the exact setup: → Register via Google OAuth or Microsoft OAuth → During onboarding, answer the questions and select every option you can → When asked to connect services, pick Apify, Semrush, and Reducto - no login needed for any of them → Skip the Slack connection → Done correctly, you land 7,200 credits minimum Models inside: Opus 4.6 through 4.8, GPT 5.3 Codex, GPT 5.4, GPT 5.5, Gemini 3 Flash, Gemini 3.1 Pro, Gemini 3.5 Flash, DeepSeek V4 Flash and Pro, Kimi K2.6. No card needed anywhere in this flow. I ran through it myself - fully working. Bookmark this before it gets patched.

FREE Claude Opus 4.8. FREE GPT 5.5. All free. 7,200 credits. I tested it myself - works. The platform is Gumloop(.)com. Chat interface plus connections into different services. Company raised $50M Here's the exact setup: → Register via Google OAuth or Microsoft OAuth → During onboarding, answer the questions and select every option you can → When asked to connect services, pick Apify, Semrush, and Reducto - no login needed for any of them → Skip the Slack connection → Done correctly, you land 7,200 credits minimum Models inside: Opus 4.6 through 4.8, GPT 5.3 Codex, GPT 5.4, GPT 5.5, Gemini 3 Flash, Gemini 3.1 Pro, Gemini 3.5 Flash, DeepSeek V4 Flash and Pro, Kimi K2.6. No card needed anywhere in this flow. I ran through it myself - fully working. Bookmark this before it gets patched.

Atenov int.

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