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Bloomberg/FactSet → Excel indicators → PowerPoint report. Fully automated. Powered by SambaNova Cloud with MiniMax (official) M2.5 Financial analysts start each day with 2 hours of data gathering and reporting Eigent does it at 9:45am. Every day. While you're still on your first coffee

Eigent AI

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Forget wrestling with Excel formulas. That’s so 2008. With Gamma, you can turn raw data into stunning, interactive presentations just by typing a prompt. ✨ No design skills. ✨ No wasted hours. ✨ Just results. Here’s how powerful it is: I went to and typed - "Create a presentation with charts showing New York immigration data and its impact on music culture." In less than 60 seconds, Gamma generated an 8-page, beautifully designed presentation. It didn’t just look good—it broke down the immigration data by percentage and added insights I hadn’t even thought of. For anyone who needs to present ideas fast—this is a game changer. Just prompt → watch it cook → present with confidence. No wonder over 50 million professionals are already using Gamma to work smarter every day. 🚀 Your turn: Try Gamma for free today →

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Still spending hours on repetitive work that should’ve been automated by now? Most teams waste valuable time creating documents from scratch, rewriting the same emails, reformatting data, and manually producing content that could be generated in seconds — with the right tools. Meet |Context — The AI Office Suite built to transform how work gets done. 🚀 Not just where you work — but what you work on. Context doesn’t just assist you. It acts like a teammate: learning, reasoning, writing, researching, and adapting to your workflow. Here’s how transforms your workday: ✅ Unified Workspace: Connect over 300 tools like Slack, Google Docs, Salesforce, and Excel in one place, and streamline your entire workflow. ✅ AI-Powered Automation: Let AI handle repetitive tasks, generate content, and update documents in real time, saving you hours every week. ✅ Real-Time Collaboration: Collaborate seamlessly with your team on shared workspaces, making edits, updates, and feedback simple and quick. ✅ Top-Tier Security: With enterprise-grade security, including SOC 2, GDPR compliance, and AES-256 encryption, your data stays safe and secure. ✅ Endless Customization: Build custom templates, automate research, and tailor workflows to meet the unique needs of your business. Ready to level up your workflow? Try it now👉 #ContextAI #Automation #AIWorkspace #Productivity #SmartWork #NoCodeTools #AIIntegration #Teamworkrder

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Great stretch for people who sit at desks all day or deal with low back pain. It's called the Tactical Frog. One of the most overlooked areas of the lower body is the inner thigh aka. the adductor. Inflexible or weak adductors can reduce hip mobility as well as cause knee and low back pain. Improving your adductors improves your hip mobility, which is crucial for anyone that sits at a desk for long periods of time. How to do this: 1. Start with hands and knees on the ground. Neutral spine with shins on the ground. 2. Spread your knees apart as far as possible 3. Push your butt back to your ankles. Start on your hands first and if you're flexible enough use your forearms for support. With any stretch, you always go where your range of motion allows you to go. Do this for a set of 30-60 seconds daily and breathe while performing it. Your hips will thank you.

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Madolyn "Maddy" Mitchell was only 16 months old. It was her FIRST day at daycare. Instead of being kept safe, she was reportedly placed face down, covered with a blanket, and left for 3 hours while her caregiver scrolled her phone. Her family filed a wrongful death lawsuit. Baby Maddy deserved better. Every child does. No family should ever have to go through this. 🙏🏿

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Half an hour into the most recent Joe Rogan podcast, Joe and Matthew McConaughey imagined AI that could deeply understand you, learn from your private data, and give proactive support without sacrificing your privacy. AI that could know your favorite books, your personal information, even your thought patterns, and return insights to help you understand yourself better. They spoke of this like a vision for the future, but at LedgerAI, that future already exists. AuraVision is our private AI platform that keeps your data where it belongs, with you. •Your data is stored locally, not in the cloud. •You can ingest AuraVision with exquisite data about yourself or your company: your strategies, workflows, knowledge, and goals. • In return, AuraVision provides actionable advice and intelligence, turning your private information into secure, personal insights. Whether you are a doctor, lawyer, government body, a financial institution, or even Joe Rogan or Matthew McConaughey, AuraVision makes AI adoption real, practical, and secure, accessed via our native token, $LEDGER. The difference is simple: while others are still imagining, we’re already building. Train by day, AuraVision by night, all day! We’ve left a link to the episode in the replies, leave your thoughts!

AuraVision

1,547,864 görüntüleme • 10 ay önce

$A Bloomberg Terminal costs $30,000/yr and still can't do a fraction of what Perplexity Computer just launched today 💻 It now connects directly to your bank accounts, credit cards, loans, and brokerage accounts through Plaid. Your full financial picture, from monthly spending to net worth to individual stock positions, sitting on top of 40+ live finance data sources including SEC filings, FactSet, S&P Global, and Coinbase. Every dollar you earn, spend, owe, and invest, cross-referenced against institutional-grade data in real time. You can walk up to this thing and say: → Run a risk analysis on my portfolio against the current tariff environment → Show me where my spending spiked last month and what's driving it → Build a net worth dashboard that tracks everything in one place → Flag any holdings that overlap with what insiders have been selling this quarter And it just does it. Pulls from your linked accounts, cross-references SEC filings, builds the output, and delivers a finished product. The system running underneath is Perplexity Computer. It orchestrates 19 models simultaneously, breaks any goal into subtasks, spins up specialized agents for each one, and keeps working after you walk away. One model handles the reasoning. Another does the research. Another writes the code. Another builds the visualization. All coordinated automatically. Last month they launched with brokerage data only and someone built a Bloomberg Terminal clone in a single afternoon. That post did 7.5 million views. Now they've expanded to your entire financial life: checking, savings, credit cards, loans, and investments all in one place. Wall Street pays $30K a year for a terminal with 30,000 function commands built over four decades. It won't replace Bloomberg for institutional traders executing billion-dollar orders. But for everyone else, the gap just got a lot smaller.$

A Bloomberg Terminal costs $30,000/yr and still can't do a fraction of what Perplexity Computer just launched today 💻 It now connects directly to your bank accounts, credit cards, loans, and brokerage accounts through Plaid. Your full financial picture, from monthly spending to net worth to individual stock positions, sitting on top of 40+ live finance data sources including SEC filings, FactSet, S&P Global, and Coinbase. Every dollar you earn, spend, owe, and invest, cross-referenced against institutional-grade data in real time. You can walk up to this thing and say: → Run a risk analysis on my portfolio against the current tariff environment → Show me where my spending spiked last month and what's driving it → Build a net worth dashboard that tracks everything in one place → Flag any holdings that overlap with what insiders have been selling this quarter And it just does it. Pulls from your linked accounts, cross-references SEC filings, builds the output, and delivers a finished product. The system running underneath is Perplexity Computer. It orchestrates 19 models simultaneously, breaks any goal into subtasks, spins up specialized agents for each one, and keeps working after you walk away. One model handles the reasoning. Another does the research. Another writes the code. Another builds the visualization. All coordinated automatically. Last month they launched with brokerage data only and someone built a Bloomberg Terminal clone in a single afternoon. That post did 7.5 million views. Now they've expanded to your entire financial life: checking, savings, credit cards, loans, and investments all in one place. Wall Street pays $30K a year for a terminal with 30,000 function commands built over four decades. It won't replace Bloomberg for institutional traders executing billion-dollar orders. But for everyone else, the gap just got a lot smaller.

Josh Kale

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STOP spending 5 hours building your content calendar. Perplexity Computer does it in 90 seconds: 1. "Analyze my top 5 competitors' blogs and find the topics driving their traffic" 2. "Cross-reference with trending keywords in my niche from the last 30 days" 3. "Build a 30-day content calendar with titles, target keywords, and outlines" 4. "Generate A/B headline variants for each post" 5. "Draft the first 3 articles from the calendar" 6. "Schedule a weekly keyword trend report so the calendar stays fresh" It doesn't just plan. It writes, schedules, and updates.

STOP spending 5 hours building your content calendar. Perplexity Computer does it in 90 seconds: 1. "Analyze my top 5 competitors' blogs and find the topics driving their traffic" 2. "Cross-reference with trending keywords in my niche from the last 30 days" 3. "Build a 30-day content calendar with titles, target keywords, and outlines" 4. "Generate A/B headline variants for each post" 5. "Draft the first 3 articles from the calendar" 6. "Schedule a weekly keyword trend report so the calendar stays fresh" It doesn't just plan. It writes, schedules, and updates.

Leonardo

35,754 görüntüleme • 3 ay önce

I plugged MiniMax (official) M3 into Claude Code in under 5 minutes and gave it a real task. most models need hand-holding every few steps. M3 ran 147 iterations on its own. what it actually did: → took a broken CUDA kernel → ran it for 24 hours, autonomously → pushed hardware efficiency from 7.6% to 71.3% → shipped a 9.4x speedup I didn't touch it once across that whole window. the rest of the spec sheet: → 1M token context window → native multimodal from day one → fully open weights pricing: → $20/month for 1.7B tokens → $50/month for 5.1B tokens → text, image, speech, and music all share one pool usually with this kind of capability the bill catches up fast. M3 keeps both lines low at the same time. that's the part that surprised me. and if this is what M3 does at launch, the full rollout is going to be one to watch. what would you build with 1M context? #MiniMax #MiniMaxM3 #ClaudeCode #LLM

I plugged MiniMax (official) M3 into Claude Code in under 5 minutes and gave it a real task. most models need hand-holding every few steps. M3 ran 147 iterations on its own. what it actually did: → took a broken CUDA kernel → ran it for 24 hours, autonomously → pushed hardware efficiency from 7.6% to 71.3% → shipped a 9.4x speedup I didn't touch it once across that whole window. the rest of the spec sheet: → 1M token context window → native multimodal from day one → fully open weights pricing: → $20/month for 1.7B tokens → $50/month for 5.1B tokens → text, image, speech, and music all share one pool usually with this kind of capability the bill catches up fast. M3 keeps both lines low at the same time. that's the part that surprised me. and if this is what M3 does at launch, the full rollout is going to be one to watch. what would you build with 1M context? #MiniMax #MiniMaxM3 #ClaudeCode #LLM

Nelly;

17,576 görüntüleme • 1 ay önce