Practical ways you can use Kunverge for
Kunverge helps you make sense of information scattered across multiple browser tabs.
Click on the links below to read how to get things done faster with Kunverge.
Lawyers Can Instantly Spot What Changed in New Policies or Regulations
Instantly Create a Draft or Get your article Cited Using all your open Tabs
Teachers Can Create Assignments in Minutes by Pulling Ideas from Multiple Sources
Process long email threads or newsletters and extract tasks, decisions, or action points instantly.
Scan product reviews from Amazon, Trustpilot
Find people on LinkedIn by role, location, or connection level
Get Insights from Reddit, Hacker News, or forum threads to uncover opinions, pros/cons, or community insights.
If you want to get insights from Reddit threads, Hacker News discussions, or forums like Stack Overflow or Indie Hackers. Maybe you want to quickly understand the general sentiment, common opinions or pain points.
These threads can be long, scattered, and hard to follow, especially when you’re looking for a clear takeaway.
Here’s how you can solve this using Kunverge.
✅ What You Need
Just open the discussion threads in separate tabs.
🔍 Step-by-Step
Open the specific Reddit posts, Hacker News threads, or forum discussions you want to get insights from.
Hold Control (or Command on Mac) and click to open each in a new tab. You can do this from search results or inside a subreddit or thread list.
Once the threads are open, use Kunverge’s “Add text from all tabs” button to capture the content.
Then use a prompt like this:
In the {selections}, summarise the main opinions shared in these discussions. Group them into pros, cons, common questions, or general insights.
Kunverge will scan all the open threads, extract the visible comments and organise them into a structured summary so you can understand the conversation quickly and clearly.
Lawyers Can Instantly Spot What Changed in New Policies or Regulations
Let’s say you’re reviewing a newly published version of a policy, regulation, or legal framework and need to find out exactly what’s changed compared to the previous one.
Whether it’s data protection laws, HR policies, or supplier terms, comparing documents clause-by-clause is tedious and easy to get wrong.
Here’s how you can solve this using Kunverge.
✅ What You Need
Open both versions of the document in browser tabs.
🔍 Step-by-Step
Open the older and newer versions of the regulation or policy side by side in separate tabs.
If required, scroll to the relevant sections or clauses you want to compare for example, a section on data handling, employment terms, or privacy rules.
Select the relevant paragraphs or clauses from each version.
Or use Kunverge’s “Add text from all tabs” button to capture the text from both documents.
Then use a prompt like this:
In the {selections}, compare the content and summarise the changes. Highlight any wording differences, additions, or removals between the two versions.
Kunverge will process both versions, identify what changed, and return a clear summary showing exactly what’s different. You do not need to cross-reference every sentence manually.
It’s ideal for lawyers, compliance officers, and policy professionals who regularly monitor regulatory updates and need fast, accurate comparisons.
Instantly Create a Draft or Get your article Cited Using all your open Tabs
You are writting a paper or an article or perhapes conducting a literature review on a specific topic. You’ve got multiple Google Scholar tabs, journal articles and other websites open. Each containing conclusions, abstracts, or key findings you need to compare.
Reading through each one manually, highlighting important sections, cross-referencing and putting citations is slow and cumbersome.
Here’s how you can solve this using Kunverge.
✅ What You Need
Open the research papers, article summaries, or Google Scholar tabs in your browser.
🔍 Step-by-Step
Open each paper you want to include in your review.
For quick selecting of the most relavent text you can turn Kunverge’s Left Click text capture. Or you can select text ->right click and send to Kunverge.
This copies text and URL of the page it came from to Kunverge.
And/or, you can use Kunverge’s “Add text from all tabs” button to bring the content together.
Then use a prompt like this:
In the {selections}, summarise and compare the findings. Highlight any patterns, agreements, or conflicting conclusions across the studies. Insert inline citations in square brackets like [1], [2], etc. appropriately. Then at the end, provide a properly formatted list of citations (numbered) matching the inline references.
Kunverge will use the text you captured as context to AI to generate a unified summary and create citations.
Instead of spending hours cross-referencing studies manually, you get a structured synthesis in seconds. You can now use it in your literature review, paper, or thesis.
Teachers Can Create Assignments in Minutes by Pulling Ideas from Multiple Sources
If you’re a teacher preparing an assignment or worksheet for your class. You’re browsing through lesson plans, educational articles, question banks, and blog posts across multiple tabs. Looking for inspiration.
Copying and pasting from each site to build something cohesive takes time, and it’s easy to miss useful content.
Here’s how you can solve this using Kunverge.
✅ What You Need
Open relevant educational pages in your browser. These could be teaching blogs, curriculum guides, past papers, or any source of learning material.
🔍 Step-by-Step
Open several tabs with relevant content. For example, one tab with sample questions, one with an article explaining the topic, and one with a curriculum outline.
Scroll through and select the specific parts you want to include such as question formats, explanations, or learning objectives.
Select text as you go and / or use Kunverge’s “Add text from all tabs” button to gather the selected content.
Then use a prompt like this:
In the {selections}, create a classroom assignment on this topic. Include a short intro, 5 diverse questions (e.g. MCQ, fill in the blanks, short answer), and clear instructions for students.
Kunverge will instantly turn your scattered material into a complete, ready-to-use assignment. It saves you time and helps you stay focused on teaching instead of document prep.
It’s perfect for teachers who want to quickly build engaging worksheets, quizzes, or lesson tasks using ideas from across the web.
Process long email threads or newsletters and extract tasks, decisions, or action points instantly.
You’ve got a long email thread or newsletter and you want to quickly extract tasks, decisions, or important points without manually reading everything.
Email clients don’t help much with summarising, and it’s easy to miss key info buried in long conversations.
Here’s how you can solve this using Kunverge.
✅ What You Need
Just open your email thread or newsletter in your browser. Make sure all the sections are expanded.
🔍 Step-by-Step
Open the email thread or newsletter you want to analyse. This could be in Gmail, Outlook Web, Substack, or any email/newsletter platform.
If you have multiple threads open even better you can just use separate tabs.
Once everything is open, use Kunverge’s “Add text from all tabs” button to capture the content.
Then use a prompt like this:
In the {selections}, extract any tasks, decisions, or action points. Highlight anything assigned to me or my team.
Kunverge will scan all visible content across tabs, summarise what matters, and present it in a clean, readable list.
You’ll save time, reduce the risk of missing details, and get a clear view of what needs to be done.
Get text descriptions of all relavent LinkedIn jobs and use it to create customised covers letters and CV versions.
When you are looking to find a job. Going through all the relavent jobs takes time. Plus you have to customize your cover letter and in some cases your CV to apply.
You can make all of it a lot easier and at the same time have full control over it with Kunverge.
Let’s say you’re looking for remote full time jobs in the UK that mention Python and offer flexible hours, ideally based in London.
Here’s how you can solve this using Kunverge and another very useful Chrome extension ‘Open Multiple URLs’
✅ What You Need
Open Multiple URLs (Optional)
Kunverge
🔍 Step-by-Step
Go to LinkedIn > Jobs and apply your filters. Sort it by Most Recent if you want.
You’ll now get a paginated result – for example, 1000+ jobs across multiple pages.
One problem here is LinkedIn does not allow you to simply press Control+ left mouse click on the pages numbers and open the page URL in another tab.
While the main data is in a particular job’s page. There is still some data in every page of the search result. Which is mostly name of the job, name of the company and location
While even this data is useful. You can enhance it by quickly going through the list and control+left mouse button clicking the job to be opened in another tab.
One way of doing this is as you open remotely interesting jobs, before clicking to open next page, right click and select add this tab text to Kunverge.
The idea is to get the data opened in the tabs.
But there is another way too.
Notice the URL format at the top of browser will look like this for first page:
https://www.linkedin.com/jobs/search/?distance=25&f_JT=P%2CC&geoId=101165590&keywords=remote&origin=JOBS_HOME_KEYWORD_HISTORY&refresh=true
Now go to your AI and ask it to generate URLs for pages 1 to 100 in this format by increasing the &start= value e.g. &start=0, &start=25, &start=50, etc.
Examples:
https://www.linkedin.com/jobs/search/?distance=25&f_JT=P%2CC&geoId=101165590&keywords=remote&origin=JOBS_HOME_KEYWORD_HISTORY&refresh=true&start=0
https://www.linkedin.com/jobs/search/?distance=25&f_JT=P%2CC&geoId=101165590&keywords=remote&origin=JOBS_HOME_KEYWORD_HISTORY&refresh=true&start=25
https://www.linkedin.com/jobs/search/?distance=25&f_JT=P%2CC&geoId=101165590&keywords=remote&origin=JOBS_HOME_KEYWORD_HISTORY&refresh=true&start=50
Copy the answer and paste the full list (1–100) into the Open Multiple URLs extension. This will open all the tabs.
So now we have lets say 100 tabs opened.
Once loaded, use Kunverge’s “Add text from all tabs” button to capture the data. Save this data to your harddisk or google drive using Kunverge.
Then use a prompt like this: In the {selections}, show me all the jobs that are remote, mention Python, and offer flexible hours and in London. Summarise each with job title, company, and location.
Kunverge will scan all tabs, extract visible job listings, and filter based on your prompt. You’ll get a clean shortlist without scrolling endlessly or missing relevant roles.
You can use this data in many other useful ways too. When you have chosen your ideal jobs, ask e.g. For these jobs create a cover letter or update my CV. You can upload your cover letter and CV. And ask AI to change in a specific way.
I assume you know how to do this. But if any issues or questions please contact us directly.
Scan product reviews from Amazon, Trustpilot
Let’s say you want to understand what people really think about a product. You’re looking for common pros, cons, complaints, or feature gaps across reviews from Amazon, Trustpilot, Reddit, or other sites.
Manually reading through 100s of reviews across tabs is time-consuming and hard to summarise.
Here’s how you can solve this using Kunverge.
🔍 Step-by-Step
Go to Amazon, Trustpilot, Reddit, G2, or any platform with product reviews.
Once you’re on the review page and the reviews are spread across multiple pages (let’s say 10), open each page by holding Control and clicking the page numbers 1, 2, 3, 4, 5, and so on. This will open each page in a separate tab.
Once loaded, use Kunverge’s “Add text from all tabs” button to capture the review content.
Then use a prompt like this:
In the {selections}, extract the most common pros, cons, and any repeated complaints or feature gaps. Group them by theme.
Kunverge will scan all tabs, extract visible review content, and filter based on your prompt. You’ll get a structured summary of what real users are saying.
Find people on LinkedIn by role, location or connection level
Let’s say you need to find all your 1st, 2nd or 3rd degree LinkedIn connections who were based in Bristol and work in Marketing. Using LinkedIn’s free filters there is no way to combine location and job role within just your own network.
Here’s how you can solve this using Kunverge and another very useful chrome extension ‘Open Multiple URLs’
✅ What You Need
Open Multiple URLs (Optional)
Kunverge
🔍 Step-by-Step
Go to LinkedIn > My Network > Connections, then click Search with filters.
Apply the filter Connections = 1st or if required 2nd, 3rd.
You’ll now get a paginated result – for example, 100 pages.
If the pages are not that many and you want to go though each quickly selecting and opening some profiles in another tab(Control + left mouse click). You can add each page using right click ->Kunverge->Add this tab to Kunverge.
But if you just want the basic data quickly in all 100 pages you can do so as follows;
Notice that the URL format looks like: https://www.linkedin.com/search/results/people/?network=%5B%22F%22%5D&origin=MEMBER_PROFILE_CANNED_SEARCH&page=1&sid=%2CJP
Now go to you AI and ask it to generate URLs for pages 1 to 100 in this format increasing &page=1 to &page=2, &page=3 etc
Examples:
https://www.linkedin.com/search/results/people/?network=%5B%22F%22%5D&origin=MEMBER_PROFILE_CANNED_SEARCH&page=1&sid=%2CJP
https://www.linkedin.com/search/results/people/?network=%5B%22F%22%5D&origin=MEMBER_PROFILE_CANNED_SEARCH&page=2&sid=%2CJP
https://www.linkedin.com/search/results/people/?network=%5B%22F%22%5D&origin=MEMBER_PROFILE_CANNED_SEARCH&page=3&sid=%2CJP
Copy the answer and paste the full list (1–100) into the Open Multiple URLs extension. Open all tabs.
Once loaded, use Kunverge’s “Add text from all tabs” button to capture the data.
Then use a prompt like this: In the {selections} show me all the people who are from Bristol and are in Marketing.
Kunverge will scan all tabs, extract visible profile details, and filter based on your prompt. You’ll get a clean list of names, job titles, and locations manually going through each page.