Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

🎥 See how data integration looks with Keboola + Apify MCP servers: scraping gym data from Google Maps and Instagram, then merging it into a single dataset. This workflow removes the fundamental complexity of traditional ETL → no scripts or manual steps, just one repeatable workflow.

Apify

4,674 subscribers

331,233 görüntüleme • 1 yıl önce •via X (Twitter)

Bilim & Teknoloji Eğitim

Anya Rossi• Live Now

Private livecam show

2 Yorum

Apify profil fotoğrafı

Apify1 yıl önce

🔗 Build AI data pipelines with Keboola + Apify:

LazyFit profil fotoğrafı

LazyFit1 yıl önce

No jumping, No Running. Workouts at home at any time.🕒🏠 BEST 15 min Beginner Home Workout for Weight Loss 🧘‍♀️🔥

Benzer Videolar

Watch Gemini 3 Flash transform manual ETL into a near real-time workflow. This demo shows how the model’s speed and reasoning capabilities instantly resolve mismatched sources, clean messy data, and fully automate the pipeline.

Watch Gemini 3 Flash transform manual ETL into a near real-time workflow. This demo shows how the model’s speed and reasoning capabilities instantly resolve mismatched sources, clean messy data, and fully automate the pipeline.

Google AI Developers

65,671 görüntüleme • 6 ay önce

ComfyUI MCP server - A project from Pixelle AI Shoutout to Pixelle-MCP - an amazing open-source project that bridges ComfyUI with LLMs through the MCP protocol. Zero-code, talk to your LLM to iterate ComfyUI workflow! Highlights: - Full TISV (Text, Image, Sound/Speech, Video) support - Flexible deployment options - Easy setup with Docker or one-click scripts - Custom workflow tools in just a few steps 🧵👇

ComfyUI MCP server - A project from Pixelle AI Shoutout to Pixelle-MCP - an amazing open-source project that bridges ComfyUI with LLMs through the MCP protocol. Zero-code, talk to your LLM to iterate ComfyUI workflow! Highlights: - Full TISV (Text, Image, Sound/Speech, Video) support - Flexible deployment options - Easy setup with Docker or one-click scripts - Custom workflow tools in just a few steps 🧵👇

ComfyUI

27,873 görüntüleme • 11 ay önce

MCP connectors are live! Actors now work where you do🔌 Actors were once limited to the open web. With connectors, they now securely connect to apps like Notion, Slack, @GitHub, or any MCP server, access business data, send results, and integrate with external workflows.

MCP connectors are live! Actors now work where you do🔌 Actors were once limited to the open web. With connectors, they now securely connect to apps like Notion, Slack, @GitHub, or any MCP server, access business data, send results, and integrate with external workflows.

Apify

1,619,751 görüntüleme • 23 gün önce

Claude + Tripo + Blender. Anthropic Type a prompt. Claude runs the flow through MCP. Tripo generates the model. Then Blender drops it straight into your scene. No importing. No manual steps. Just prompt → model → scene. Pretty wild workflow for 3D creators 👇 #ai3d #Claude #ai3dmodelgenerator #Tripo

Claude + Tripo + Blender. Anthropic Type a prompt. Claude runs the flow through MCP. Tripo generates the model. Then Blender drops it straight into your scene. No importing. No manual steps. Just prompt → model → scene. Pretty wild workflow for 3D creators 👇 #ai3d #Claude #ai3dmodelgenerator #Tripo

Tripo

22,741 görüntüleme • 2 ay önce

Watch this ADK Agent powered by Gemma 4 31B use the Google Maps MCP Server to build a custom food tour in this demo 🍜📍 See the model in action with: -Multi-step reasoning (solving complex routes) -Multimodal logic (processing visuals and text) -Live data integration (direct connection to Google Maps)

Watch this ADK Agent powered by Gemma 4 31B use the Google Maps MCP Server to build a custom food tour in this demo 🍜📍 See the model in action with: -Multi-step reasoning (solving complex routes) -Multimodal logic (processing visuals and text) -Live data integration (direct connection to Google Maps)

Google AI Developers

28,084 görüntüleme • 2 ay önce

Google quietly shipped one of the biggest AI upgrades this year. Here’s the workflow → → Build a Notebook LM with your business docs → Import it into Gemini → Turn it into a custom Gem → Generate content using real data → Export tables straight to Sheets This replaces 5 tools instantly. Save this video, you’ll automate your workflow. Want the SOP? DM me. 💬

Google quietly shipped one of the biggest AI upgrades this year. Here’s the workflow → → Build a Notebook LM with your business docs → Import it into Gemini → Turn it into a custom Gem → Generate content using real data → Export tables straight to Sheets This replaces 5 tools instantly. Save this video, you’ll automate your workflow. Want the SOP? DM me. 💬

Julian Goldie SEO

13,220 görüntüleme • 5 ay önce

Watch Krishna Srinivasan, Founder & CEO of Data Bootstrap (and former researcher-Google DeepMind), showcase the impact of scraping with a single machine vs. tapping into OpenLedger's community nodes. The difference? Massive efficiency and scalable data pipelines.

Watch Krishna Srinivasan, Founder & CEO of Data Bootstrap (and former researcher-Google DeepMind), showcase the impact of scraping with a single machine vs. tapping into OpenLedger's community nodes. The difference? Massive efficiency and scalable data pipelines.

OpenLedger

13,764 görüntüleme • 1 yıl önce

MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it using MCP. Before, accessing data was slow, and I had to make multiple requests to get anything. After using Spice, I can query the data much faster (since it's mirrored locally), and I don't have to worry about where the data is coming from. Spice acts as an MCP server, so I can connect to it from my IDE or the Claude Desktop app and have access to all the data. But even more cool than that: Spice also acts as an MCP client, so it can connect to other MCP servers. This is where things get really interesting! Watch the video. I'm querying multiple data sources from my IDE and using the Google Maps MCP server for driving directions.

MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it using MCP. Before, accessing data was slow, and I had to make multiple requests to get anything. After using Spice, I can query the data much faster (since it's mirrored locally), and I don't have to worry about where the data is coming from. Spice acts as an MCP server, so I can connect to it from my IDE or the Claude Desktop app and have access to all the data. But even more cool than that: Spice also acts as an MCP client, so it can connect to other MCP servers. This is where things get really interesting! Watch the video. I'm querying multiple data sources from my IDE and using the Google Maps MCP server for driving directions.

Santiago

142,696 görüntüleme • 1 yıl önce

Perplexity users, this one's for you. The Ramp MCP is live and brings you 50+ tools to bring all your Ramp data right into your research workflow. Try it out:

Perplexity users, this one's for you. The Ramp MCP is live and brings you 50+ tools to bring all your Ramp data right into your research workflow. Try it out:

Ramp

42,181 görüntüleme • 9 gün önce

I have now fully mapped Gemini's authority network of 3,000,000 brands with full intention to commercialize this data through tool and SEO workflow integration. Process:

I have now fully mapped Gemini's authority network of 3,000,000 brands with full intention to commercialize this data through tool and SEO workflow integration. Process:

DEJAN

15,227 görüntüleme • 3 ay önce

We launched the Software Adoption workflow in Perplexity Computer. It uses aggregated industry-wide Ramp credit card spend to provide data on the adoption, growth momentum, churn, and market share of SaaS products. We are pleased to partner with Ramp to connect Ramp Rate API data to Computer in this workflow, at no additional charge to users, and no setup required. Just run the workflow and ask for whatever SaaS categories or vendors you want to analyze.

We launched the Software Adoption workflow in Perplexity Computer. It uses aggregated industry-wide Ramp credit card spend to provide data on the adoption, growth momentum, churn, and market share of SaaS products. We are pleased to partner with Ramp to connect Ramp Rate API data to Computer in this workflow, at no additional charge to users, and no setup required. Just run the workflow and ask for whatever SaaS categories or vendors you want to analyze.

Jeff Grimes

10,635 görüntüleme • 1 ay önce

Our clients think we have a full design team. But it's just one n8n workflow. - it pulls customer data from HubSpot - creates personalized decks in Gamma - delivers them automatically. Here's the workflow + giveaway 👇

Our clients think we have a full design team. But it's just one n8n workflow. - it pulls customer data from HubSpot - creates personalized decks in Gamma - delivers them automatically. Here's the workflow + giveaway 👇

SARAH

61,377 görüntüleme • 7 ay önce

Go from a single image to an entire film, ad or piece of content using our new Story Panels Featured Workflow. This Workflow allows you to build a catalogue of shots with consistent characters, locations and style all in a few simple steps. Comment "Mammoth" for the in-depth tutorial and link to featured Workflow.

Go from a single image to an entire film, ad or piece of content using our new Story Panels Featured Workflow. This Workflow allows you to build a catalogue of shots with consistent characters, locations and style all in a few simple steps. Comment "Mammoth" for the in-depth tutorial and link to featured Workflow.

Runway

25,473 görüntüleme • 4 ay önce

The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory

The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory

Alex Nguyen

35,448 görüntüleme • 3 ay önce

Workflow Use MCP server and self healing🔥 Imagine all the possibilities👀 1. Create a workflow 2. Website changes 3. Workflow doesn't break. Workflow STILL works. 4. Call it via Cursor or Claude MCP client⚙️ Welcome to RPA 2.0.📡

Workflow Use MCP server and self healing🔥 Imagine all the possibilities👀 1. Create a workflow 2. Website changes 3. Workflow doesn't break. Workflow STILL works. 4. Call it via Cursor or Claude MCP client⚙️ Welcome to RPA 2.0.📡

Gregor Zunic

47,634 görüntüleme • 1 yıl önce

Most marketers spend hours daily trying to analyze ads performance GoMarble MCP + n8n workflow does it in 2 minutes: -Pulls Meta+ Google + GA4 + Shopify data -Finds budget waste & opportunities -Automated reports delivered to email/slack Comment "GO" & I'll DM you the workflow

Most marketers spend hours daily trying to analyze ads performance GoMarble MCP + n8n workflow does it in 2 minutes: -Pulls Meta+ Google + GA4 + Shopify data -Finds budget waste & opportunities -Automated reports delivered to email/slack Comment "GO" & I'll DM you the workflow

Tom

32,257 görüntüleme • 10 ay önce

Krishna Srinivasan, Founder and CEO of Data Bootstrap and former Google DeepMind researcher, discusses the challenges of data scraping and scalability. With experience at prior Apple, Yahoo, and IBM watsonx, Krishna demonstrates the difference between scraping with a single machine versus leveraging OpenLedger's community nodes. The results speak for themselves, parallelized scraping enables significantly higher efficiency and scale. Data Bootstrap is one of many companies building on our Data Intelligence Layer, and we’re excited to support innovations like these. Watch the video below to learn more.

Krishna Srinivasan, Founder and CEO of Data Bootstrap and former Google DeepMind researcher, discusses the challenges of data scraping and scalability. With experience at prior Apple, Yahoo, and IBM watsonx, Krishna demonstrates the difference between scraping with a single machine versus leveraging OpenLedger's community nodes. The results speak for themselves, parallelized scraping enables significantly higher efficiency and scale. Data Bootstrap is one of many companies building on our Data Intelligence Layer, and we’re excited to support innovations like these. Watch the video below to learn more.

OpenLedger

12,079 görüntüleme • 1 yıl önce

INCREDIBLE!!! Gemini did 6 hours of manual data analysis work in just 2 mins. Gemini in a Colab notebook now lets you plan, analyze, and visualize your data. I used a dataset of 100k rows and didn't write or execute a single line of code. Completely hands-off!

INCREDIBLE!!! Gemini did 6 hours of manual data analysis work in just 2 mins. Gemini in a Colab notebook now lets you plan, analyze, and visualize your data. I used a dataset of 100k rows and didn't write or execute a single line of code. Completely hands-off!

Avi Chawla

300,110 görüntüleme • 1 yıl önce

Ship anything with Agent 4 - Build web & mobile apps, slides, animations - Chat with connected services (Notion, Google Apps etc) to optimize your workflow - Build data apps or chat with your data to analyze

Ship anything with Agent 4 - Build web & mobile apps, slides, animations - Chat with connected services (Notion, Google Apps etc) to optimize your workflow - Build data apps or chat with your data to analyze

Replit ⠕

28,145 görüntüleme • 3 ay önce

GOOGLE JUST AUTOMATED HALF OF INSTAGRAM MARKETING Pomelli now uses your website to learn brand identity and instantly generate posts, reels, ads and email assets while also allowing direct Instagram publishing from a single workflow

0xMarioNawfal

70,447 görüntüleme • 12 gün önce