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Guide to data tools landscape for developers

Hacker News Top · 2026-07-16 Cached

A comprehensive guide for software developers unfamiliar with data tools, covering the data lifecycle, data professions, and the tool landscape, with insights from the author's experience at Deepnote and Metabase.

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Just launched Graft AI: A living map of company's operations

Reddit r/artificial · 2026-07-16

Graft AI has launched as a living map of company operations, providing a dynamic visualization of business activities.

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@mdancho84: RIP BI Dashboards. Tools like Tableau and PowerBI are about to become extinct. This is what's coming (and how to prepar…

X AI KOLs Timeline · 2026-07-05 Cached

A tweet claims that BI dashboard tools like Tableau and PowerBI are becoming extinct and links to an article about what is coming next and how to prepare.

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$11.38 for a Claude subscription – Ramp tracks AI spending across 70,000 US companies, findings are interesting. AI adoption near 100%, but truly 'AI-addicted' firms spend $7,449 per employee per month.

X AI KOLs Following · 2026-07-01 Cached

Ramp tracked AI spending across 70,000 US companies, finding that while AI adoption is near 100%, spending varies widely: heavy users spend $7,449 per employee per month, while average companies spend just $11.38 (the cost of a Claude subscription).

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Why Predictive AI Agents Will Replace BI Dashboards by 2027

Reddit r/artificial · 2026-06-17

Predictive AI agents are forecasted to replace traditional BI dashboards by 2027, signaling a shift towards more proactive data analysis.

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Sakana Marlin (4 minute read)

TLDR AI · 2026-06-16 Cached

Sakana AI launches its first commercial product, Sakana Marlin, an autonomous research assistant that completes strategy work in hours by generating structured slides and detailed reports.

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TwinBI: An Agentic Digital Twin for Efficient Augmented Interactions with Business Intelligence Dashboards

arXiv cs.AI · 2026-06-15 Cached

TwinBI is a framework that couples an LLM-based agent with an executable BI dashboard state to maintain consistency during multi-step analytical interactions, improving accuracy and reducing timeout rates in benchmarks.

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@cyrilXBT: https://x.com/cyrilXBT/status/2064883165169140169

X AI KOLs Timeline · 2026-06-11 Cached

A comprehensive guide to building a business knowledge management system using N8N workflows and Obsidian vault, automated with Claude AI to capture and synthesize business intelligence daily.

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Built Picasso – An Agentic AI System That Automatically Designs Dashboards From KPI Data. Looking for Feedback!

Reddit r/AI_Agents · 2026-06-03

Picasso is an AI-powered dashboard orchestration system that automatically designs dashboards from KPI data by analyzing semantic importance, visual hierarchy, and business relevance. The creator seeks feedback on the project, which is their first using agentic AI workflows.

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Will AI pricing be the future for medium to small sized businesses?

Reddit r/ArtificialInteligence · 2026-05-18

Explores whether AI-based tools will become standard for small to medium businesses in setting pricing strategies, analyzing market trends and customer behavior.

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How finance teams use Codex

OpenAI Blog · 2026-05-12 Cached

OpenAI highlights how finance teams can leverage Codex to automate tasks like generating monthly business review narratives and cleaning up financial models, integrating with tools like Excel and Slack to improve efficiency.

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@ycombinator: flowscope deploys agents that learn and document how businesses operate. From there, their agents redesign and automate…

X AI KOLs Following · 2026-05-12 Cached

Flowscope is a Y Combinator-backed AI-native consulting firm that deploys agents to map, redesign, and automate business processes within days by integrating directly into existing enterprise systems.

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Supaboard 3.0

Product Hunt · 2026-05-12

Supaboard 3.0 is an AI data analyst tool designed to understand your business.

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ScoutFox

Product Hunt · 2026-05-12

ScoutFox is a new product that tracks company behavior to identify early signals and market outliers.

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Towards Autonomous Business Intelligence via Data-to-Insight Discovery Agent

arXiv cs.AI · 2026-05-11 Cached

This paper introduces AIDA, an autonomous agent framework designed to transform fragmented enterprise data into actionable business insights by leveraging reinforcement learning and a proprietary Domain-Specific Language for SQL execution.

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Bruin

Product Hunt · 2026-05-09

Bruin is an AI data agent designed to collaborate with teams, likely assisting with data analysis and automation tasks.

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Skopx - AI agents that autonomously analyze business data

Reddit r/ArtificialInteligence · 2026-05-08 Cached

Skopx is a conversational AI analytics platform that lets users ask business questions in plain English, automatically generating insights from connected data sources without SQL. It provides transparent reasoning, role-based access, and integrates with existing tools.

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@zstmfhy: Over dinner a VP told me: "All 200+ of our enterprise clients are screaming for transformation and begging for AI Agents, but we simply can’t deliver." My chopsticks froze mid-air—not at the number, but at the realization that the AI whirlwind has already blown into every traditional firm’s boardroom…

X AI KOLs Timeline · 2026-04-20 Cached

A VP serving 200+ firms says every client is desperate to deploy AI Agents yet lacks the ability, showing the AI wave has reached traditional boardrooms and sparked transformation anxiety.

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Analyzing data with ChatGPT

OpenAI Blog · 2026-04-10 Cached

OpenAI Academy publishes a guide on using ChatGPT for data analysis, enabling users to upload files and ask natural language questions to explore, clean, and visualize data without requiring formula or dashboard expertise.

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Inside GPT-5 for Work: How Businesses Use GPT-5

OpenAI Blog · 2026-01-22 Cached

OpenAI releases a comprehensive report analyzing ChatGPT adoption patterns in the workplace, revealing that 28% of employed adults use ChatGPT at work (up from 8% two years ago) and 43% of U.S. knowledge workers use AI tools, with significant productivity gains and demographic variations in adoption.

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