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Claude in Excel is breaking down gated analysis. Built this with just a few prompts and Factset data: base/bull/bear cases on $GOOGL search revenue vs AI infra costs would normally have to wait for this kind of analysis in a Wall St note Earnings season is going to be 🔥

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Deirdre Bosa

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369,462 просмотров • 7 месяцев назад •via X (Twitter)

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Today, we’re introducing Decide Agent, a frontier-level AI agent for Excel analysis. Decide Agent scored 82.50% on SpreadsheetBench, the public standard benchmark for Excel AI agents, ranking #4 globally. This is the same leaderboard used by Claude, OpenAI, and Microsoft to evaluate their spreadsheet agents. We’re here to push the frontier in Excel and data analytics. Decide Agent is now generally available at trydecide . ai
1:05

Today, we’re introducing Decide Agent, a frontier-level AI agent for Excel analysis. Decide Agent scored 82.50% on SpreadsheetBench, the public standard benchmark for Excel AI agents, ranking #4 globally. This is the same leaderboard used by Claude, OpenAI, and Microsoft to evaluate their spreadsheet agents. We’re here to push the frontier in Excel and data analytics. Decide Agent is now generally available at trydecide . ai

Ab.

40,512 просмотров • 6 месяцев назад

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.
1:12

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.

Sam Rodriques

61,934 просмотров • 9 месяцев назад

Thrilled to announce a partnership with Anthropic! Together, we are combining Planet’s deep stack of daily satellite data with Anthropic’s Claude LLM to improve analysis of complex visual information at global scale. This is a win-win: AI helps unlock the value of satellite data — helping analysis at scale for present users and making analysis easier, opening it to a broader set of users. Meanwhile, satellite data helps AI models learn how to tackle real world problems. I recently interviewed Dario Amodei, CEO of Anthropic. Teaser with this post; full interview here: Partnership details:
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Thrilled to announce a partnership with Anthropic! Together, we are combining Planet’s deep stack of daily satellite data with Anthropic’s Claude LLM to improve analysis of complex visual information at global scale. This is a win-win: AI helps unlock the value of satellite data — helping analysis at scale for present users and making analysis easier, opening it to a broader set of users. Meanwhile, satellite data helps AI models learn how to tackle real world problems. I recently interviewed Dario Amodei, CEO of Anthropic. Teaser with this post; full interview here: Partnership details:

Will Marshall

19,471 просмотров • 1 год назад

Google’s real “secret weapon” is still search: 2B+ daily users vs. OpenAI’s ~500M. And while OpenAI hopes to hit $20B in revenue this year, $GOOGL has already done $400B with $80B in free cash flow. That’s the kind of balance sheet that can outspend anyone in AI.
1:11

Google’s real “secret weapon” is still search: 2B+ daily users vs. OpenAI’s ~500M. And while OpenAI hopes to hit $20B in revenue this year, $GOOGL has already done $400B with $80B in free cash flow. That’s the kind of balance sheet that can outspend anyone in AI.

David Nicholas

155,597 просмотров • 9 месяцев назад

the use of breaking the fourth wall in Dhurandhar 2's end scene is genius and that's a spot-on analysis by this influencer 🤌🏻
1:03

the use of breaking the fourth wall in Dhurandhar 2's end scene is genius and that's a spot-on analysis by this influencer 🤌🏻

tira‎‎⚝

40,142 просмотров • 5 месяцев назад

Just built 3 PREMIUM SaaS products in a day that would normally cost $20K+ in development fees! Claude 3.7 AI is a game-changer. What I created: • SEO content generator with keyword analysis • Complete agency dashboard with client management • Job board with Firebase authentication • Custom UI that looks better than paid tools • Full backend functionality with data storage Save this video if you're tired of paying for software when you can build better versions yourself 🔥 Want the SOP? DM me.
15:52

Just built 3 PREMIUM SaaS products in a day that would normally cost $20K+ in development fees! Claude 3.7 AI is a game-changer. What I created: • SEO content generator with keyword analysis • Complete agency dashboard with client management • Job board with Firebase authentication • Custom UI that looks better than paid tools • Full backend functionality with data storage Save this video if you're tired of paying for software when you can build better versions yourself 🔥 Want the SOP? DM me.

Julian Goldie SEO

11,381 просмотров • 1 год назад

$BTC Statistical Study using Claude - A Beginner's Workflow Here's an example of a z-score study on $BTC - still tinkering so don't take this as overtly useful information but the creation of a dashboard for the visualization of statistical data is phenomenal. my current workflow: > import $BTC time data - .csv file (can get this information from multiple venues - Binance is where I got mine) > creating bins - if you have a larger data set - you can use recent data to prevent overt bias in the long direction or filter consolidation and trending regime data into separate bins for statistical analysis - however, you will have to define thresholds and determine what that entails. > defining metrics in Claude that you want to use for statistical analysis e.g. for z-score what is it based on and what type of calculation? make sure you understand the calculations being performed for any metrics that you are doing a study for and modify them accordingly. > prompting Claude to do a statistical analysis with specific instructions and then tell it to create visualization for this. I've been messing around with this and I'm seriously impressed by the output.
0:33

$BTC Statistical Study using Claude - A Beginner's Workflow Here's an example of a z-score study on $BTC - still tinkering so don't take this as overtly useful information but the creation of a dashboard for the visualization of statistical data is phenomenal. my current workflow: > import $BTC time data - .csv file (can get this information from multiple venues - Binance is where I got mine) > creating bins - if you have a larger data set - you can use recent data to prevent overt bias in the long direction or filter consolidation and trending regime data into separate bins for statistical analysis - however, you will have to define thresholds and determine what that entails. > defining metrics in Claude that you want to use for statistical analysis e.g. for z-score what is it based on and what type of calculation? make sure you understand the calculations being performed for any metrics that you are doing a study for and modify them accordingly. > prompting Claude to do a statistical analysis with specific instructions and then tell it to create visualization for this. I've been messing around with this and I'm seriously impressed by the output.

Stoic

19,782 просмотров • 1 год назад

Grok 4.3 just built this entire game with just a single prompt It has the fastest output token speed and outranks Claude Sonnet 4.6 Max on Artificial Analysis I built this using the xAI API in Kilo Code via the VS Code extension
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Grok 4.3 just built this entire game with just a single prompt It has the fastest output token speed and outranks Claude Sonnet 4.6 Max on Artificial Analysis I built this using the xAI API in Kilo Code via the VS Code extension

X Freeze

1,253,043 просмотров • 3 месяцев назад

this is the current state of the SOHO's testflight build. everything is written in typescript (expo/next). it’s built with vercel’s ai sdk, gpt4o-mini, and some other api’s stitched together for product search and color analysis. will be sending out invites next week.
0:34

this is the current state of the SOHO's testflight build. everything is written in typescript (expo/next). it’s built with vercel’s ai sdk, gpt4o-mini, and some other api’s stitched together for product search and color analysis. will be sending out invites next week.

Eli Rousso

21,746 просмотров • 1 год назад

.Dan Ives says hyperscaler earnings are all about cloud growth, and they show that enterprise use cases are accelerating. Earnings season has proven that AI is still in the early stages of the AI revolution, with the industry only in its "third inning," according to Ives. He tells Nicole Petallides that if $GOOGL had reported earnings this week, the reaction would have been potentially "muted or positive." As for $MSFT's earnings, he views them as an inflection point for the entire tech sector. "I just don't see how you can be bearish in this environment," he says. He also sees a "golden age" for cybersecurity on the horizon. For more market news, tune in at:
11:03

.Dan Ives says hyperscaler earnings are all about cloud growth, and they show that enterprise use cases are accelerating. Earnings season has proven that AI is still in the early stages of the AI revolution, with the industry only in its "third inning," according to Ives. He tells Nicole Petallides that if $GOOGL had reported earnings this week, the reaction would have been potentially "muted or positive." As for $MSFT's earnings, he views them as an inflection point for the entire tech sector. "I just don't see how you can be bearish in this environment," he says. He also sees a "golden age" for cybersecurity on the horizon. For more market news, tune in at:

Schwab Network

39,728 просмотров • 1 месяц назад

BREAKING: In a stunning moment, CNN just broke down the data that clearly shows Donald Trump is failing when it comes to delivering on his promise to lower costs. This is horrible news for Trump ahead of the midterms.
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BREAKING: In a stunning moment, CNN just broke down the data that clearly shows Donald Trump is failing when it comes to delivering on his promise to lower costs. This is horrible news for Trump ahead of the midterms.

Democratic Wins Media

286,143 просмотров • 2 месяцев назад

"To build a warm, trustworthy and scenario-based AI." This vision put forward by Xu Shixian, founder of Anshi Data, is gradually becoming a reality at the MoFa OPC Community in Jianye District, Nanjing. The company's independently developed "AI Emotion Analysis and Mindfulness Empowerment System" is scheduled to be launched in April this year.
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"To build a warm, trustworthy and scenario-based AI." This vision put forward by Xu Shixian, founder of Anshi Data, is gradually becoming a reality at the MoFa OPC Community in Jianye District, Nanjing. The company's independently developed "AI Emotion Analysis and Mindfulness Empowerment System" is scheduled to be launched in April this year.

iNanjing

186,297 просмотров • 5 месяцев назад

Spectre AI On-Chain Search Engine is LIVE! 📢 We’re excited to announce that the Spectre AI On-Chain Search Engine is now LIVE for the public and holders at: Link can also be found pinned in the main Telegram or Spectre AI Website. Designed to be accessible for everyone, the app offers free core features with advanced Pro functionalities tiered for holders with a minimum of 1000 $spectre. Subscriptions will also be available soon for added flexibility. Spectre AI Utilities Overview: - Landing Page: Featuring BTC and Altcoin charts, Fear & Greed Index, Spectre Trending, X Trending, Partners in Focus, News, and UI Watchlists. - UI Favorites: Multiple chart views tailored to track your preferred projects. - Research Zone: Advanced tools for sentiment analysis, sentiment analysis charts, and Technical Analysis sections. - Sentiment Analysis Pro: AI-driven insights and unique scoring system to gauge market sentiment. - Technical Analysis Mode: Supply and demand zones powered by AI to guide trading strategies. - UI Heatmaps: Visualize top sectors and asset performance across the market. - User Panel: A personalized hub to manage account. - UI News: Indexed Websites and X Tweets. Note: X Bubbles (visual Twitter mapping) and Monarch (real-time AI chatzone) will be deployed post-launch. Mobile features will be upgraded in upcoming releases, with the best experience currently on desktop. What’s Launching Today: The beta of our Search Engine functionalities go live today, setting the stage for an exciting journey. Looking Ahead: This launch marks only the beginning. Our roadmap includes future features like staking, revenue sharing, and more. In the first few days, we’ll focus on server and user management to ensure seamless performance with increased traffic. Important Security Reminder: As a security reminder: there are no airdrops and no downloads— Spectre AI is accessible directly as a web app on both desktop and mobile. Try and connect with a fresh wallet and only the minimum required tokens. Enjoy this video showcase, and enjoy this milestone day with us. Spectre AI is just getting started - stay tuned for much more to come! #ai $SPECT
1:47

Spectre AI On-Chain Search Engine is LIVE! 📢 We’re excited to announce that the Spectre AI On-Chain Search Engine is now LIVE for the public and holders at: Link can also be found pinned in the main Telegram or Spectre AI Website. Designed to be accessible for everyone, the app offers free core features with advanced Pro functionalities tiered for holders with a minimum of 1000 $spectre. Subscriptions will also be available soon for added flexibility. Spectre AI Utilities Overview: - Landing Page: Featuring BTC and Altcoin charts, Fear & Greed Index, Spectre Trending, X Trending, Partners in Focus, News, and UI Watchlists. - UI Favorites: Multiple chart views tailored to track your preferred projects. - Research Zone: Advanced tools for sentiment analysis, sentiment analysis charts, and Technical Analysis sections. - Sentiment Analysis Pro: AI-driven insights and unique scoring system to gauge market sentiment. - Technical Analysis Mode: Supply and demand zones powered by AI to guide trading strategies. - UI Heatmaps: Visualize top sectors and asset performance across the market. - User Panel: A personalized hub to manage account. - UI News: Indexed Websites and X Tweets. Note: X Bubbles (visual Twitter mapping) and Monarch (real-time AI chatzone) will be deployed post-launch. Mobile features will be upgraded in upcoming releases, with the best experience currently on desktop. What’s Launching Today: The beta of our Search Engine functionalities go live today, setting the stage for an exciting journey. Looking Ahead: This launch marks only the beginning. Our roadmap includes future features like staking, revenue sharing, and more. In the first few days, we’ll focus on server and user management to ensure seamless performance with increased traffic. Important Security Reminder: As a security reminder: there are no airdrops and no downloads— Spectre AI is accessible directly as a web app on both desktop and mobile. Try and connect with a fresh wallet and only the minimum required tokens. Enjoy this video showcase, and enjoy this milestone day with us. Spectre AI is just getting started - stay tuned for much more to come! #ai $SPECT

SPECTRE AI

280,739 просмотров • 1 год назад

PhD Students – Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs for data analysis. 5. AnswerThis will generate variety of graphs for you. 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE. AnswerThis link:
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PhD Students – Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs for data analysis. 5. AnswerThis will generate variety of graphs for you. 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE. AnswerThis link:

Faheem Ullah

206,884 просмотров • 5 месяцев назад

this is impossible without AI I just used Google Veo 3 on LTX Studio to create a film trailer for Planet of the Apes in a few hours one click film is coming.. examples and prompts:
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this is impossible without AI I just used Google Veo 3 on LTX Studio to create a film trailer for Planet of the Apes in a few hours one click film is coming.. examples and prompts:

el.cine

74,605 просмотров • 1 год назад

THIS TOP-TRADER’S 3 CLAUDE PROMPTS TURN ANY STOCK INTO A PROFITABLE INVESTMENT IN 5 MINUTES. Here is how you can become profitable and analyze any stocks in 5 minutes using Claude. This is the exact 3-prompt framework I use to break down stocks fast: >Why is the stock moving? Claude explains the investment thesis, key catalysts, risks, and what Wall Street is saying. >Is the business healthy - and is the stock cheap? Claude checks fundamentals, valuation, and compares it against 5 competitors. >What happens next? Claude builds bull, base, and bear case scenarios - including potential price targets and when to exit. I use this to build my own investment theses before going deeper. Want the full Claude prompt pack? Comment “PROMPT” and I’ll DM it to you. Follow for more AI investing hacks.
0:53

THIS TOP-TRADER’S 3 CLAUDE PROMPTS TURN ANY STOCK INTO A PROFITABLE INVESTMENT IN 5 MINUTES. Here is how you can become profitable and analyze any stocks in 5 minutes using Claude. This is the exact 3-prompt framework I use to break down stocks fast: >Why is the stock moving? Claude explains the investment thesis, key catalysts, risks, and what Wall Street is saying. >Is the business healthy - and is the stock cheap? Claude checks fundamentals, valuation, and compares it against 5 competitors. >What happens next? Claude builds bull, base, and bear case scenarios - including potential price targets and when to exit. I use this to build my own investment theses before going deeper. Want the full Claude prompt pack? Comment “PROMPT” and I’ll DM it to you. Follow for more AI investing hacks.

kiosa

19,659 просмотров • 3 месяцев назад

How to Create a Professional Data Analysis Report—Even If You’re Not a Data Specialist Today on Agent 101—MuleRun’s first review series where real users test AI agents in real work scenarios—we introduce “Smart Q,” a data analysis expert agent designed to turn anyone into a data-savvy reporter. 1. Team Expertise Smart Q was developed by a team with over 10 years of data analysis experience at a giant corporation. This background ensures that the agent delivers insights and reports that meet professional standards. 2. The Traditional Approach & Its Pain Points Traditionally, creating a data analysis report required deep expertise in tools like Excel, SQL, or Python. You’d need to clean the data, run calculations, generate visualizations, and summarize findings—all of which is time-consuming and prone to human error. For non-specialists, this process is often inaccessible and intimidating. 3. How Smart Q Uses AI—and What Problems It Solves With Smart Q, the entire reporting process is simplified into three steps: upload your raw data, ask a question, and receive charts, key insights, and a polished report—all generated by AI expert. Its key advantages include: ✅Accessibility:No technical background required. ✅Speed:Get a complete analysis in minutes, not hours. ✅Clarity:Receive expert-level conclusions presented in clear, actionable language. Want to become a tester for future AI agents? Engage with this video—comment, like, or share—and we’ll be sure to notice your support! 🎥 See Smart Q in action. #mulerun #mulerun4U #SmartQ
4:11

How to Create a Professional Data Analysis Report—Even If You’re Not a Data Specialist Today on Agent 101—MuleRun’s first review series where real users test AI agents in real work scenarios—we introduce “Smart Q,” a data analysis expert agent designed to turn anyone into a data-savvy reporter. 1. Team Expertise Smart Q was developed by a team with over 10 years of data analysis experience at a giant corporation. This background ensures that the agent delivers insights and reports that meet professional standards. 2. The Traditional Approach & Its Pain Points Traditionally, creating a data analysis report required deep expertise in tools like Excel, SQL, or Python. You’d need to clean the data, run calculations, generate visualizations, and summarize findings—all of which is time-consuming and prone to human error. For non-specialists, this process is often inaccessible and intimidating. 3. How Smart Q Uses AI—and What Problems It Solves With Smart Q, the entire reporting process is simplified into three steps: upload your raw data, ask a question, and receive charts, key insights, and a polished report—all generated by AI expert. Its key advantages include: ✅Accessibility:No technical background required. ✅Speed:Get a complete analysis in minutes, not hours. ✅Clarity:Receive expert-level conclusions presented in clear, actionable language. Want to become a tester for future AI agents? Engage with this video—comment, like, or share—and we’ll be sure to notice your support! 🎥 See Smart Q in action. #mulerun #mulerun4U #SmartQ

MuleRun

30,549 просмотров • 9 месяцев назад

AI is going to change PE workflows. A PE associate on Reddit shared how he used Perplexity Computer to build a web app that turns customer cube analysis into automated dashboards. Analysis that used to take a KKR or Blackstone associate several hours can now be done in minutes. This is going to change how PE firms do diligence. Crazy how this industry will evolve.
1:13

AI is going to change PE workflows. A PE associate on Reddit shared how he used Perplexity Computer to build a web app that turns customer cube analysis into automated dashboards. Analysis that used to take a KKR or Blackstone associate several hours can now be done in minutes. This is going to change how PE firms do diligence. Crazy how this industry will evolve.

The Icahnist

1,080,010 просмотров • 5 месяцев назад

I'm excited to introduce my FREE AI Pandas Data Analyst Copilot which created a data analysis report with dozens of charts from my questions in under 30 seconds. Today, I'll share with you how to automate data analysis with my Pandas AI Agent + Copilot, which is available on GitHub. I'll guide you through setting up the Copilot app, creating dozens of data analysis charts from any CSV or Excel file, and interacting with your data live. This AI is a BIG help! Table of Contents: 00:00 Introduction to the App 02:24 Setting Up the App 04:25 Using the App 08:58 Understanding the Python Code Github to AI Data Science Team (app is in the apps folder): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: === Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, April 9th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (500 Seats):
10:27

I'm excited to introduce my FREE AI Pandas Data Analyst Copilot which created a data analysis report with dozens of charts from my questions in under 30 seconds. Today, I'll share with you how to automate data analysis with my Pandas AI Agent + Copilot, which is available on GitHub. I'll guide you through setting up the Copilot app, creating dozens of data analysis charts from any CSV or Excel file, and interacting with your data live. This AI is a BIG help! Table of Contents: 00:00 Introduction to the App 02:24 Setting Up the App 04:25 Using the App 08:58 Understanding the Python Code Github to AI Data Science Team (app is in the apps folder): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: === Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, April 9th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (500 Seats):

Matt Dancho (Business Science)

12,736 просмотров • 1 год назад