Perplexity AI

Christian Catalini

@ccatalini

"openness may be one of the most important paths to AI safety and security" — @a16z, @bfl_ai, @Box, @CrowdStrike, @Dell, @huggingface, @IBM, @linuxfoundation, @Meta, @Microsoft, @MistralAI, @mozilla, @nvidia, @PalantirTech, @perplexity_ai, @Replit, @ycombinator + more https://t.co/LovW8A90o6

Aryan Mahajan

@aryanXmahajan

Gemini 3.0 + Lindy + Perplexity = AI Content Infrastructure that generated 30M views last quarter... This 3-agent system replaces entire content teams automatically using AI strategist + producer + analyst architecture... → No more $15K-$30K monthly payroll for 4-person content teams → No more 20+ hours weekly spent planning content calendars manually → No more creative bottlenecks killing your posting velocity → No more analysts tracking metrics in 10 different spreadsheets Just 3 AI agents → autonomous content infrastructure that runs 24/7. Here's how it works: → Strategy Agent (monitors trends, identifies angles, builds calendars automatically) → Production Agent (generates platform-native posts, maintains brand voice across 1000+ posts) → Analysis Agent (tracks engagement, identifies patterns, optimizes continuously) → Multi-Platform Publishing (LinkedIn + Twitter content deployed simultaneously) → Performance Loop System (learns what works, compounds results weekly) Built with Fortune 500 content velocity. Runs 24/7 without creative bottlenecks. Zero payroll overhead. Enterprise quality. Results from deployments: • 30M+ organic views generated • $500K+ in qualified pipeline revenue • 25 posts weekly (up from 5 posts with manual teams) • One creator: $20K writer team → $500 AI infrastructure Want the complete system? Like + comment "LINDY" + repost, and I'll DM it to you. (must be following)

Shushant Lakhyani

@shushant_l

I'm amazed most people still use Perplexity like a basic search engine. Here's how to prompt Perplexity AI like a researcher to get dramatically better answers. --- 1. Perplexity is an AI answer engine that searches the live web and cites its sources. --- 2. Use it when you need current information backed by references. --- 3. Start every prompt with a clear action verb like summarize, compare, or analyze. --- 4. Always provide enough context instead of asking broad generic questions. --- 5. Add a specific timeframe to keep results relevant and up to date. --- 6. Tell Perplexity exactly how you want the output formatted. --- 7. Avoid vague prompts because they often produce vague answers. --- 8. Use Standard Search for quick factual lookups. --- 9. Use Pro Search for multi-step questions that need deeper reasoning. --- 10. Use Deep Research for reports, presentations, and comprehensive analysis. --- 11. Use Learn Mode when you're studying a completely new topic. --- 12. Use Model Council to compare answers from multiple AI models. --- 13. Choose the right source pool like Web, Academic, Reddit, YouTube, or SEC filings. --- 14. Add recency requirements whenever fresh information matters. --- 15. Ask Perplexity to challenge assumptions and present counterarguments. --- 16. Specify trusted source types such as peer-reviewed papers or official websites. --- 17. Request source verification for every major claim it makes. --- 18. Continue the conversation with follow-up questions to refine the answer. --- 19. Always open and verify important citations before trusting them. --- 20. Think like a researcher by defining the scope, evidence, and output before prompting. --- To learn more, check the infographic. ---

Md. Najeeb Hussain

@mnh_18

Confirmed feature that Samsung Internet users are going to love: a brand new "Ask AI" tool, powered by Perplexity AI, built right into the browser. Highlight anything you're reading, and it gives you contextual answers — no switching apps, no copy-pasting into a separate chat window. 🌐🤖 #OneUI9 #Samsung #AskAI #Perplexity

Pukerainbow 🤮🌈

@pukerrainbrow

🚨 Aravind Srinivas, CEO of Perplexity AI, was asked what happens to Indian IT service companies. "They're not going to hire as many people going forward." the entire business model of Indian IT outsourcing was cheaper human labor. now an AI agent does the same job. he said companies will keep some human trust for now. but the pressure is already starting. "why do you guys need three months when AI can do it faster? why charge this much?" millions of jobs built on this model. is the foundation already cracking?

Controversial Sense

@Warick_Truth

The Ultimate 2026 AI Directory: 11 Essential Tools to Supercharge Your Academic Productivity. 11 sites To maximize your productivity, here is a categorized directory of the top AI websites essential for educational research, study assistance, academic writing, and general content creation in 2026. 📚 AI Websites for Educational & Research Purposes These specialized tools focus on concept comprehension, source grounding, and literature reviews: Google NotebookLM: Exceptional personalized study tool. It transforms uploaded documents (PDFs, notes, URLs) into interactive expert guides. It can generate study guides, data quizzes, and realistic audio podcast overviews directly from your coursework. Perplexity AI: A conversational search engine designed for deep research. Unlike standard LLMs, it searches the live web and provides multi-perspective answers tied strictly to clickable, verifiable citations. Consensus: An AI search engine built specifically for research papers. You can ask a scientific question, and it extracts and synthesizes findings from millions of peer-reviewed articles, providing a "consensus meter" on the scientific community's stance. Elicit: A specialized research assistant designed to automate literature reviews. It finds relevant papers without requiring perfect keyword matches, extracts key data points, and builds structured summary tables. Scholarcy: An AI-powered article summarizer. It converts lengthy academic textbooks, book chapters, and research papers into small, digestible flashcards and text breakdowns. ✍️ AI Websites for Writing & Academic Editing These websites help structure arguments, refine tone, improve grammar, and streamline formatting. Claude by Anthropic: Widely considered the leading AI engine for long form creative and analytical writing. It features superb logical reasoning, mimics custom human tones naturally, and excels at editing complex essays or research outlines. Grammarly: An essential writing companion for real time proofreading. Beyond basic spellchecking, it adjusts text clarity, matches specific professional or academic tone demands, and optimizes text flow. QuillBot: A premium AI paraphrasing, summarization, and citation website. It allows users to rephrase sentences to avoid passive language or improve clarity, while its co-writer tool generates citations in APA, MLA, and Chicago formats. Paperpal: Specifically engineered for academic writing, journal paper submissions, and thesis editing. It provides technical language corrections aligned with standard journal publishing criteria. Google Gemini: Highly efficient for student writing due to its deep research capabilities and native connection to Google Workspace. It lets you draft emails or essays and easily export them directly into Google Docs or Gmail. Sudowrite: The leading creative writing tool optimized for fiction, narrative outlines, storytelling, and novel development. 💡 Multi-Purpose AI Assistants These generalized foundational models provide flexible support across homework help, brainstorming, and code assistance. ChatGPT by OpenAI: Extremely versatile for drafting everyday text, outlines, summaries, and answering math or code problems. Microsoft Copilot: Excellent for students using the Office ecosystem, providing real-time text drafting, web verification, and data compilation. 🧬 Best AI Platforms for STEM (Science, Tech, Engineering, Math) These tools prioritize precise computation, logical reasoning, and code testing over standard conversational text.WolframAlpha: The ultimate computational knowledge engine. Instead of predicting language like regular AI, it uses rigid mathematical algorithms to solve symbolic algebra, calculus, matrices, physics equations, and data science problems with exact results. Copilot: The leading AI developer environment. It plugs directly into your coding editor to autocomplete structures, debug code logic in real time, and help you translate natural language into functioning scripts. Symbolab: An advanced semantic math calculator designed specifically for middle school through college workloads. It excels at providing step-by-step interactive breakdowns for complex calculus, geometry, and linear algebra equations. Desmos Graphing Calculator: An essential math engine for visual learners. It allows you to build, plot, and explore 2D or 3D coordinate trajectories, functions, and scientific equations interactively. 📖 Best AI Platforms for Literature & Language Arts These platforms are built to navigate deep reading, pull complex themes from vast text, organize references, and map qualitative concepts. SciSpace (formerly Typeset): An absolute powerhouse for literature analysis. It allows you to generate structural cross-comparisons, interpret thematic methodologies across groups of documents, and use built-in AI agents to manage dense academic reading programs. Jenni AI: A dedicated academic writer and prose assistant. It excels at managing your personal library, allowing you to ask questions across dozens of literature sources simultaneously while building out structured essay outlines with fast reference formatting. Litmaps: A visual literature mapping platform. Instead of list formats, it creates an interactive map showing how different books, papers, and essays cite one another over time, helping you uncover hidden thematic connections. Scholarcy: An efficient text summarizer. It breaks down multi-chapter classics, critical commentaries, or long pieces of literary theory into flashcards and concise breakdowns of primary key arguments. Thanks for reading,you can add some additions?

Aravind Srinivas

Co-founder & CEO

Co-founder and CEO of Perplexity. Holds a PhD from UC Berkeley and previously researched at OpenAI, Google, and DeepMind.

Denis Yarats

Co-founder & CTO

Co-founder and CTO of Perplexity. Previously an AI research scientist at Meta (FAIR).

Johnny Ho

Co-founder & Chief Strategy Officer

Co-founder and Chief Strategy Officer of Perplexity. Previously an engineer at Quora and a quantitative trader at Tower Research.

Andy Konwinski

Co-founder

Co-founder of Perplexity and co-founder of Databricks, with a PhD from UC Berkeley.

Former Uber Director of Business Development and LinkedIn/Meta executive; joined Perplexity in 2023 to lead commercial and partnerships.

Steven Boone

VP, Enterprise Business

Previously at Zuora · San Francisco Bay Area

Joined May 2026

Dana Levine

Enterprise Growth Lead

Previously at Zuora · San Francisco Bay Area

Joined May 2026

Previously at Ramp · Brooklyn, New York, United States

Joined May 2026