Goodlookup

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Goodlookup is a cutting-edge spreadsheet function leveraging GPT-3 for intuitive fuzzy matching and speedy topic clustering in Google Sheets.

How Goodlookup can help you:

Enhances spreadsheet functionality with the power of GPT-3.
Enables more efficient and accurate data matching and topic clustering.
Facilitates semantic understanding of text data beyond regular string matches.
Improves data integration across multiple sources with varied naming conventions.
Matches text with high semantic accuracy, including synonyms and cultural similarities.

Why choose Goodlookup: Key features

Powered by the cutting-edge GPT-3 technology for intuitive operations.
Offers semantic text matching for nuanced understanding.
Easy integration with Google Sheets for seamless operations.
Affordable yearly subscription model.
Functional improvements over traditional fuzzy matching tools.

Who should choose Goodlookup:

Data analysts and spreadsheet users seeking efficient data matching solutions.
Individuals working with topic clustering in Google Sheets.
Teams needing to integrate and understand text data from multiple sources.

About Goodlookup

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https://www.goodlookup.com

Release Date

March 2024

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5 ways I use NotebookLM to improve my Excel workflow

Ever since I realized the true potential of NotebookLM, I've been trying to use it for a lot of tasks in everyday life. I recently figured that I could use it to improve my productivity and make my workflow more efficient. A part of my regular workflow also involves working with Excel sheets. I'm a freelancer, and I use Excel to manage my projects, track payments, etc. I also provide marketing services, and some clients expect me to maintain an Excel sheet consisting of the deliverables, research data, etc. Frankly, my Excel skills are quite average, so I used to struggle a bit with some tasks -- until I realized how I could improve my Excel workflow using NotebookLM. It all started as an experiment, with the outlook being more along the lines of 'let's see what it can and can't do'. After playing around with it for a while, I was pleasantly surprised by how helpful NotebookLM was in making my Excel workflow smoother. Depending on the kind of tasks you perform, I found a few ways in which NotebookLM can aid your everyday Excel workflow and make your life easier. Compared to other LLMs, NotebookLM doesn't really provide instructions to carry out a task. Instead, it can process files and eliminate manual work that would otherwise consume time and resources. Here are some effective ways in which you can utilize NotebookLM to improve your Excel experience. Get actionable insights Summarize large spreadsheets When working with large spreadsheets that have thousands of rows and columns with various types of data, it gets extremely difficult to figure out some specifics - especially if you're like me and you're not familiar with Excel. Thankfully, NotebookLM can read the entire spreadsheet for you and answer all your questions -- while even giving you actionable data. Want to know the sales figures of a particular SKU in the month of July, in a certain region? Just export your spreadsheet as a PDF, feed it into NotebookLM, and ask away! You can also generate summaries that can tell you the overall picture in a concise manner. For example, you can say, "How were the sales of the company last year at this time compared to this year?" NotebookLM will generate an answer by automatically comparing the data from the spreadsheet. This saves you a good chunk of time and manual effort. You can play around with such questions and prompts to see what sort of result you get. Once you're confident, you can generate more complex data. Hear summaries of your data Create audio overviews In continuation of the previous use case, NotebookLM can generate audio summaries as well, along with text. Think of it as a podcast with all the important information from the spreadsheet. You may be thinking about how an audio version of a spreadsheet would help anyone. Well, there's a smart little use case hidden here. Feed an Excel spreadsheet, ask NotebookLM relevant questions about it, and then generate an audio overview. I like using this as a way to obtain detailed information from the spreadsheet when I'm not necessarily working. The audio can be played when you're commuting, working out, or just relaxing on your couch. This way, you learn more about a few spreadsheets without perusing through multiple pages manually. Sometimes, an audio cue can help people remember facts better. I also like that the conversational tone makes the audio feel as natural as possible. Visualize data relationships Mind maps are useful Just like how audio cues can be helpful, visual cues also play an equally important role in understanding certain aspects of a spreadsheet. For instance, some spreadsheets may have lots of complex data that can be hard to read -- especially if someone isn't too good with numbers. If you're like me and you need assistance with visualizing your data, NotebookLM is here to help. Use the "generate a mind map" command after uploading your spreadsheet. Some examples of possible use cases include generating a mind map of the different parameters linked to sales. This will include the relationship between sales and different metrics like regions, pricing, categories, etc. If you're new to sales, this should give you a clear picture of how these factors are related. You can also ask NotebookLM to explain the mapping in detail. Answer common questions Generate FAQs Lots of people create Excel workbooks right before a presentation. This is another place where NotebookLM comes in clutch with its AI capabilities. When preparing a presentation for potential clients or co-workers, you may want to be ready for any questions that they may ask you. Answering common questions accurately is important to convey your understanding of the spreadsheet. So, ask NotebookLM what are some common questions that people may have related to the data in the spreadsheet. NotebookLM will not only list the questions but also give you relevant answers to each of them. This would prepare you to confidently answer any question thrown at you. Curate reports with data and facts Get structured outlines Sometimes, you may have to present the data in a spreadsheet in the form of reports or easily understandable information that anyone without much knowledge of Excel and numbers can process. Here again, NotebookLM can prepare these reports for you with a single command. You can ask for a report, a blog post, an explanation, or an elaboration on the link between multiple parameters in the spreadsheet. For example, you could say, "Create a sales report from the spreadsheet highlighting the year-on-year growth, focused on potential investors." NotebookLM will create a report that can be presented in front of potential investors who would want to know the trajectory of the company's growth. AI isn't just about chatbots I've used tools like ChatGPT and Perplexity earlier to help me perform certain tasks in Excel. They are certainly helpful for that purpose, but NotebookLM lets you perform specific tasks that don't necessarily aid your work inside of Excel, but rather help you be more efficient when working with data and numbers. While you can't make it perform actions directly on your spreadsheet, you can obtain actionable data that definitely improves your efficiency.

XDA-Developers

Fri, 15 Aug, 10:45 PM UTC

Shortcut AI Automates 90% of Spreadsheet Tasks Effortlessly

Imagine a world where your Excel spreadsheets practically manage themselves -- no more endless hours spent troubleshooting formulas, cleaning up messy data, or building complex financial models from scratch. Sounds too good to be true? Enter Shortcut AI, a new assistant designed to transform how you work with Microsoft Excel and Google Sheets. By automating up to 90% of repetitive spreadsheet tasks, this tool doesn't just save time -- it transforms the way you approach data management. Whether you're a seasoned financial analyst or a small business owner juggling multiple roles, Shortcut AI promises to free you from the drudgery of manual processes and let you focus on what truly matters: making smarter decisions. In this overview, Greg Isenberg explores how Shortcut AI combines AI-driven automation with user-friendly features to simplify even the most intricate spreadsheet operations. From detecting formula errors to generating insightful visualizations, this tool is packed with capabilities that cater to both beginners and advanced users. You'll discover how it uses natural language processing to make complex Excel functions accessible with plain English commands, and how its seamless integration ensures a smooth transition into your existing workflows. By the end, you might just rethink what's possible with spreadsheets -- and wonder how you ever managed without it. Shortcut AI integrates advanced AI-driven automation to simplify even the most intricate Excel spreadsheet operations. Its standout features include: These features combine automation with user oversight, making Shortcut AI a versatile tool for both routine and complex spreadsheet tasks. By addressing common pain points, it ensures a smoother and more efficient workflow. Shortcut AI is designed to cater to a wide range of users, from finance professionals to small business owners. Its practical applications include: These use cases highlight the tool's adaptability, making it an essential resource for professionals managing data-heavy tasks. Its ability to handle diverse requirements ensures that users across industries can benefit from its capabilities. Advance your skills in AI-driven spreadsheet automation by reading more of our detailed content. Shortcut AI prioritizes user accessibility, making sure that individuals with varying levels of expertise can use its features effectively. Its intuitive design allows you to perform complex tasks using plain English prompts, eliminating the steep learning curve often associated with advanced spreadsheet tools. Additionally, the AI provides clarifying questions to refine outputs, making sure accuracy and relevance. The tool integrates seamlessly with Microsoft Excel and Google Sheets, allowing for smooth import and export of files without compatibility issues. This ensures that your existing workflows remain uninterrupted while benefiting from Shortcut AI's automation capabilities. By focusing on user-friendly design and robust integration, Shortcut AI delivers a streamlined experience for all users. At its core, Shortcut AI employs sophisticated AI algorithms to handle tasks that traditionally require significant time and expertise. For instance, it can analyze large datasets, such as 10-K filings, and perform multi-sheet analyses with remarkable efficiency. The tool adapts to your specific needs, continuously improving its automation and integration features to meet evolving demands. Shortcut AI's technical prowess extends to handling complex calculations, generating predictive models, and managing large-scale data operations. Its ability to scale and adapt ensures that it remains a valuable asset for professionals tackling intricate data challenges. Shortcut AI is designed to serve a diverse audience, making it a valuable tool for professionals and organizations across various industries. Key beneficiaries include: Its broad applicability ensures that users from diverse fields can harness its capabilities to streamline workflows, reduce errors, and achieve their goals more efficiently. Shortcut AI offers pricing plans tailored to different user needs, making sure accessibility for individuals and organizations alike: A free trial is available at trash.ai, allowing you to explore its features before committing. To get started, focus on automating specific, time-consuming tasks to experience how Shortcut AI can optimize your workflow. By identifying areas where automation can have the greatest impact, you can maximize the tool's value from the outset.

Geeky Gadgets

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NotebookLM with Gems : Turn Scattered Files into a Living Memory & Skip the Busywork

What if you could transform your business strategy with AI agents that not only understand your data but actively evolve with it? Julian Goldie breaks down how Google's NotebookLM and Gemini Gems are reshaping the way professionals approach innovation, productivity, and decision-making. Imagine uploading your research, market data, or even competitor analyses, and having intelligent agents, called "gems" -- sift through it all to deliver actionable insights tailored to your needs. This isn't just another AI platform; it's a living knowledge base that grows smarter with every input, offering a level of adaptability that feels almost futuristic. In this deep dive, we'll explore how NotebookLM's AI-powered research hub and Gemini Gems' task-specific agents are empowering users to tackle complex challenges across industries. From validating startup ideas to streamlining team training, these features are designed to make data-driven strategies accessible and scalable. But there's more to this story than just efficiency, it's about unlocking entirely new ways to innovate. Whether you're a founder, strategist, or content creator, the possibilities are as exciting as they are fantastic. So, what does this mean for the future of work? Let's find out. At the heart of this toolset lies NotebookLM, an AI-powered research platform that simplifies complex tasks and enhances productivity. Users can upload a variety of content types, such as PDFs, websites, and videos, and use the platform to summarize information, answer questions, and generate outputs like study guides, proposals, or podcasts. By centralizing data, NotebookLM offers professionals across industries a dynamic resource to efficiently manage and analyze information. This capability is particularly valuable for researchers, strategists, and content creators who need to process large volumes of data quickly and accurately. NotebookLM's ability to synthesize diverse information sources into actionable insights makes it a versatile tool for tackling challenges across multiple domains. Whether you're a business leader seeking to refine strategies or an academic compiling research, NotebookLM provides a robust foundation for informed decision-making. The integration of Gemini Gems improves NotebookLM's functionality by introducing intelligent, task-specific AI agents. These gems act as dynamic assistants, capable of accessing and analyzing all linked NotebookLM data to create a continuously updated "living knowledge base." Whenever new sources are added, the gems automatically incorporate the information, making sure they remain current and relevant. These AI agents are designed to perform a wide range of tasks, from identifying content gaps to validating startup ideas. Their ability to adapt to specific objectives makes them indispensable for modern businesses seeking agility and innovation. For example, a marketing team can use gems to analyze competitor strategies, while a product development team can use them to identify emerging trends and customer needs. Below are more guides on NotebookLM from our extensive range of articles. The adaptability of NotebookLM and Gemini Gems is evident in their diverse use cases. These tools are designed to address a variety of challenges, making them valuable across industries. Some of the most impactful applications include: These applications demonstrate how NotebookLM and Google Gems can be tailored to meet the unique needs of different users, from startups to established enterprises. NotebookLM and Google Gems offer several advanced features that enhance their usability and functionality, making them indispensable tools for professionals and organizations: These features not only enhance productivity but also ensure that the platform remains relevant and adaptable to the evolving needs of its users. While NotebookLM and Google Gems offer numerous advantages, there are a few limitations that users should consider to maximize their effectiveness: By understanding these limitations, users can better plan their workflows and make the most of the platform's capabilities. When compared to other AI tools like ChatGPT, NotebookLM and Google Gems stand out due to their unique features and capabilities. Unlike ChatGPT, which often relies on static uploads and has smaller context limits, NotebookLM offers autosync capabilities and scalability, handling up to 300 sources simultaneously. This makes it particularly well-suited for teams and businesses that need to manage large volumes of data. Additionally, NotebookLM is more cost-effective for organizations, offering a practical solution for those looking to maximize value without compromising on functionality. Its ability to integrate seamlessly with existing tools and workflows further enhances its appeal as a comprehensive AI solution. This AI toolset is designed to cater to a wide range of users, making it a versatile solution for various industries and roles. Key beneficiaries include: By addressing the needs of these diverse user groups, NotebookLM and Google Gems demonstrate their potential to drive innovation and efficiency across industries. NotebookLM and Google Gems represent a powerful AI-driven solution for businesses seeking to innovate, automate, and strategize effectively. By allowing users to create dynamic, task-specific AI agents, this toolset enables organizations to streamline workflows, uncover actionable insights, and scale operations with ease. With its advanced features, adaptability, and cost-effective design, NotebookLM and Google Gems are poised to become essential tools for forward-thinking businesses in 2026 and beyond.

Geeky Gadgets

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NotebookLM's Data Tables feature converts scattered notes into structured spreadsheets

Google has upgraded NotebookLM with Data Tables, its most requested feature that transforms messy notes into organized spreadsheets exportable to Google Sheets. Powered by Gemini 3, the AI-powered feature lets users synthesize information from various sources using natural language commands, eliminating manual data compilation for students, researchers, and business owners.

2 Sources

Sat, 20 Dec, 7:01 PM UTC

Microsoft, Google and Anthropic Channel Enterprise AI Use With Spreadsheets | PYMNTS.com

By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. With many financial planning teams still running on Excel despite years of alternatives, AI developers are abandoning the strategy of pulling users to new platforms. Instead, they are bringing the technology to where the work already happens. The thesis is straightforward: spreadsheet-embedded AI eliminates the three most common barriers to adoption: skills gaps, budget constraints and integration complexity. Microsoft's Agent Mode in Excel, introduced in late 2025, moves beyond single-turn Copilot replies into agentic workflows. A model-powered agent plans, executes and validates multi-step spreadsheet tasks within the workbook, building tables, writing formulas and producing charts as it goes. Users input a natural-language prompt, and the agent handles the rest, surfacing each step for review. Google is pursuing a parallel track. Gemini in Google Sheets now lets users build or edit entire spreadsheets with natural language, synthesizing data across files, emails, chat and the web. Google reported on March 10 that Gemini in Sheets achieved a 70.48% success rate on the full Spreadsheet Bench dataset, which it characterized as nearing human expert ability. Anthropic is also moving into the same grid. According to a March 11 report from VentureBeat, the company launched shared context across its Claude for Excel and Claude for PowerPoint add-ins, enabling Claude to carry information, instructions and task history between an open spreadsheet and an open presentation in a continuous session. A financial analyst can pull comparable company financials from a workbook, build a trading comps table in Excel, drop the valuation summary into a pitch deck and draft the summary email without switching tabs or re-explaining the dataset at each step, according to VentureBeat. The update also introduced Skills: reusable one-click workflows that teams save and share organization-wide, covering standardized processes like variance analyses and approved slide templates. On the AI-native side, Shortcut, built by MIT spinout Fundamental Research Labs and powered by Anthropic's Claude, functions as a system of AI agents that completes complex Excel tasks, including full discounted cash flow models, from a single natural-language prompt. The tool scored over 80% on Microsoft Excel World Championship benchmark cases and finishes them about 10 times faster than human analysts, according to PYMNTS. Each of these products uses the same delivery strategy: bringing AI into the spreadsheet rather than pulling users away from it. The three leading barriers to enterprise AI adoption are a lack of in-house skills, insufficient budget and integration complexity. Spreadsheet-delivered AI eliminates all three at once. Microsoft 365 Copilot and Google Workspace with Gemini bundle AI into existing subscription tiers. Deployment becomes a settings toggle, not a procurement event. That distribution advantage compounds because users never left the spreadsheet in the first place. A January 2025 survey by the Association of Financial Professionals found that 96% of FP&A teams still use Excel for planning despite years of purpose-built alternatives. Any AI tool requiring migration faces the installed-base inertia. Any AI tool delivered within the spreadsheet is included for free. The stickiness runs deeper than habit. An analysis from a16z's speedrun newsletter draws a useful distinction between two use categories: "mini software" workflows like dashboards and trackers, which AI may eventually replace, and analytical workflows like financial models, where building the spreadsheet itself is how practitioners reason through the inputs. The second category dominates finance, strategy and operations. For those users, the spreadsheet is not storage. It is the reasoning surface. AI augmentation inside the grid fits. Replacement tools do not. Anthropic has moved inside the same layer. The trajectory from a single Excel plugin to a shared cross-app context to an embedded engine inside Microsoft Copilot gives Claude enterprise distribution that a standalone app cannot replicate. The hardest part of enterprise AI deployment has never been the model. It has been getting employees to use it inside real workflows without a dedicated implementation effort. Integrating AI in spreadsheets solves that.

PYMNTS

Wed, 18 Mar, 7:02 PM UTC

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