Extract Business Directory Listings into Google Sheets with n8n and AI
TutoSartup excerpt from this article:
A business directory page describes forty... Our newest template on the n8n gallery extracts business directory listings — chambers of commerce, local business indexes, industry registries — into Google Sheets... The pipeline, in one paragraph A Schedule Trigger fires daily at 12 PM and reads a Directory Sources tab (a literal url header in row 1, one directory page URL per row below)... And ...
A business directory page describes forty... Our newest template on the n8n gallery extracts business directory listings — chambers of commerce, local business indexes, industry registries — into Google Sheets... The pipeline, in one paragraph A Schedule Trigger fires daily at 12 PM and reads a Directory Sources tab (a literal url header in row 1, one directory page URL per row below)... And ...
7 Best Free Screenshot APIs for Developers (2026)
TutoSartup excerpt from this article:
Picking a screenshot API used to be a coin flip — you signed up for whatever showed up first in a search result, wired it into your app, and only discovered its limits once a bot-blocked page came back blank or a full-page capture cut off halfway down... This roundup ranks seven screenshot APIs with a developer's priorities in mind: how faithfully they render real pages, how much control you get...
Picking a screenshot API used to be a coin flip — you signed up for whatever showed up first in a search result, wired it into your app, and only discovered its limits once a bot-blocked page came back blank or a full-page capture cut off halfway down... This roundup ranks seven screenshot APIs with a developer's priorities in mind: how faithfully they render real pages, how much control you get...
5 AI-Era Use Cases for a Screenshot API in 2026
TutoSartup excerpt from this article:
Over the last year the interesting work has shifted from rendering a page for a human to look at to rendering a page so a model can reason about it... They can guess what a page probably contains, but they can't see the rendered result of today's deploy, this morning's price change, or a layout that only appears after JavaScript runs... Ask it to "check what the pricing page looks like right now,...
Over the last year the interesting work has shifted from rendering a page for a human to look at to rendering a page so a model can reason about it... They can guess what a page probably contains, but they can't see the rendered result of today's deploy, this morning's price change, or a layout that only appears after JavaScript runs... Ask it to "check what the pricing page looks like right now,...
Why I’m Building SinaPilot: An AI Platform for Scientific Reasoning
Scientific research is moving faster than ever. Every week, thousands of new papers are published across medicine, biology, artificial intelligence,...
🚀 Snapshot Site API: Capture High-Resolution Website Screenshots Easily
The Snapshot Site API enables developers to generate high-quality screenshots of websites programmatically. Whether you need full-page captures or specific viewports, this API helps automate visual monitoring, SEO auditing, and thumbnail generation with minimal setup.
How Thermo Fisher Scientific built AI-powered patient matching on AWS
TutoSartup excerpt from this article:
Clinical trial recruitment is often described as a patient-matching challenge... Patient Recruitment teams need to understand where potential participants are in the recruitment journey, how sites are performing, which geographies may offer the strongest opportunities, and whether enough patients may meet increasingly complex study criteria... It required rethinking the data foundation supporting ...
Clinical trial recruitment is often described as a patient-matching challenge... Patient Recruitment teams need to understand where potential participants are in the recruitment journey, how sites are performing, which geographies may offer the strongest opportunities, and whether enough patients may meet increasingly complex study criteria... It required rethinking the data foundation supporting ...
Amazon Threat Intelligence observes threat actors running cybercrime campaigns with Artex AI agents
TutoSartup excerpt from this article:
5, 2026, Amazon’s MadPot, a globally distributed network of decoy threat sensors, captured requests from AI agents that included operating memory from offensive campaigns that threat actors ran on ARTEX, an open-source agentic AI penetration testing framework... The ARTEX agents sent these requests to MadPot sensors configured to present as popular large language model (LLM) inference APIs, and...
5, 2026, Amazon’s MadPot, a globally distributed network of decoy threat sensors, captured requests from AI agents that included operating memory from offensive campaigns that threat actors ran on ARTEX, an open-source agentic AI penetration testing framework... The ARTEX agents sent these requests to MadPot sensors configured to present as popular large language model (LLM) inference APIs, and...
Cloud and AI accelerate game development innovation at AWS re:Invent 2026
TutoSartup excerpt from this article:
Make time for special events On Monday, November 30, 2026, head to The LINQ (conference center, floor 3) for the 2nd Annual AWS Betting & Gaming Day being held from 12:30 – 7:00 PM...” Finish out the week at AWS re:play, the official end-of-event party on Thursday, December 3, starting at 8:00 PM... Reach out to your AWS account team to learn more about additional event opportunities,...
Make time for special events On Monday, November 30, 2026, head to The LINQ (conference center, floor 3) for the 2nd Annual AWS Betting & Gaming Day being held from 12:30 – 7:00 PM...” Finish out the week at AWS re:play, the official end-of-event party on Thursday, December 3, starting at 8:00 PM... Reach out to your AWS account team to learn more about additional event opportunities,...
Cost-optimizing AssemblyAI speech-to-text inference on AWS with Amazon EC2 Spot
TutoSartup excerpt from this article:
Spot Instances offer significant savings, while Amazon Elastic Compute Cloud (Amazon EC2) can reclaim them with a 2-minute warning when capacity is needed elsewhere... The architecture uses Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances, and Amazon Simple Queue Service (Amazon SQS)... Solution overview AssemblyAI’s inference platform ru...
Spot Instances offer significant savings, while Amazon Elastic Compute Cloud (Amazon EC2) can reclaim them with a 2-minute warning when capacity is needed elsewhere... The architecture uses Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances, and Amazon Simple Queue Service (Amazon SQS)... Solution overview AssemblyAI’s inference platform ru...
Cost attribution and controls for AI developer and productivity tools on Amazon Bedrock
TutoSartup excerpt from this article:
Amazon Bedrock provides built-in, zero-instrumentation cost attribution that traces every inference call back to the IAM principal that made it... Claude Code, Claude Desktop, OpenAI Codex, ChatGPT Work, and OpenCode all invoke Amazon Bedrock through one of two inference endpoints: bedrock-runtime or bedrock-mantle, and Bedrock’s attribution mechanism operates at the endpoint layer, beneath any ...
Amazon Bedrock provides built-in, zero-instrumentation cost attribution that traces every inference call back to the IAM principal that made it... Claude Code, Claude Desktop, OpenAI Codex, ChatGPT Work, and OpenCode all invoke Amazon Bedrock through one of two inference endpoints: bedrock-runtime or bedrock-mantle, and Bedrock’s attribution mechanism operates at the endpoint layer, beneath any ...
Build a model improvement flywheel with Amazon SageMaker HyperPod Data Capture
TutoSartup excerpt from this article:
Foundation models deployed on Amazon SageMaker HyperPod meet inputs that no pre-curated dataset covers: domain-specific jargon, unexpected formats, new products, and changing user behavior... Without a record of production inference data, teams can’t detect drift, find failure patterns, or use real interactions to improve the model... Amazon SageMaker HyperPod now provides Data Capture, a built...
Foundation models deployed on Amazon SageMaker HyperPod meet inputs that no pre-curated dataset covers: domain-specific jargon, unexpected formats, new products, and changing user behavior... Without a record of production inference data, teams can’t detect drift, find failure patterns, or use real interactions to improve the model... Amazon SageMaker HyperPod now provides Data Capture, a built...
Research Review | 13 November 2026 | Portfolio Analytics
TutoSartup excerpt from this article:
We find this bandwidth to be 8 months leading to bear (bull) market spells with a median duration of 74 (294) days and median cumulative returns of-16... The model has two special features: it focuses on mean regimes and uses cumulated returns rather than daily returns... A daily return model with common volatility and mean regimes performs very poorly... stock returns to real yields, breakeven i...
We find this bandwidth to be 8 months leading to bear (bull) market spells with a median duration of 74 (294) days and median cumulative returns of-16... The model has two special features: it focuses on mean regimes and uses cumulated returns rather than daily returns... A daily return model with common volatility and mean regimes performs very poorly... stock returns to real yields, breakeven i...