शैडोइंग अभ्यास: I Wrapped an API Into a Real SaaS (full build / step-by-step) - वीडियो के साथ अंग्रेजी बोलना सीखें

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338 वाक्य

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What's going on guys, this is Oliver, formerly from Response AI and a few other software tools

that I've since exited and now running a few new tools and Rosewell.dev, which is where I teach people how to build profitable software,

make money with it, sell it, whatever it may be.

So in this video, I wanted to show you guys how to build a profitable API wrapper.

So in other words, it's really hard to build your own API.

We've talked about this in the past and a lot of different videos.

My last video was about how to build an API.

Some people just make really cool APIs.

They make them for really cheap, and you can just wrap a product around those APIs and sell them for a profit, right?

So we're going to build a keyword monitoring software from scratch, and it's a tool where a user picks a handful of keywords,

and every single day it hunts across social media, drops every new mention straight into their dashboard, and then sort of, you know,

source them in terms of relevance to their website.

So it's almost like Google Alerts, but it actually works.

It's powered by AI.

And the front-end in Cursor and Claude is how it's built.

The back-end is using Superbase.

And the social data that we're scraping from Twitter and LinkedIn, et cetera, is powered by Social Fetch,

which is just an API that pulls live posts from 20-plus platforms with one key basically.

So social fetch is kind of the API that I found to be the most affordable, the fastest as well, because I know I use Appify a lot,

but I kind of prefer this because one, it's just all of its documentation is easier.

You're not relying on, you know, like single developers on Appify to keep up with the,

you know, the Twitter API or the Reddit API, whatever it may be.

And you get every single line of SQL and sort of every piece of code that I write in this video, I'll give to you guys in the description, right?

So where does the data come from?

The one piece you can't vibe code is obviously the actual API that you're tapping into.

You can build the nicest dashboard in the world, but unless you have, you know, posts being fed to it, it's going to be empty.

So scraping social platforms is kind of a nightmare, to be honest.

even I you know running kind of like a lot of

different softwares in the past I've always used APIs for this part

because scraping is kind of a nightmare you get banned you

have to like run loads of expensive proxies it's kind of a pain in the neck right

so tools like social fetch you've obviously got apify you've got

other tools they pull live profiles post search results wherever it may be

and social fetch kind of maintains the scrapers so we don't have to

and we don't have to rely on external APIs or getting banned, right?

And that's what turns this into a bit of an easy project, to be honest.

So what we're actually going to use from the API is the two endpoints, or there's multiple endpoints, but we're going to use X and we're going to use LinkedIn.

So we're going to scrape Twitter for keywords and we're going to scrape X, sorry, LinkedIn for keywords.

And we might even add Reddit at the end.

We might scrape subreddits and then find keywords within those subreddits in posts and comments.

But for now, we're going to keep it kind of simple with just Twitter and LinkedIn.

And the idea, guys, is that you're going to find these LinkedIn posts or these Twitter posts.

And then obviously, if someone mentions something about your product or mentions a keyword that's important to you, then you can reach out to them.

And you can even add another layer to this, which is where you enrich those profiles with some kind of API like Apollo, where you can find their mobile numbers and call them or emails,

you know, and actually email them.

Now, how the product works end to end, guys, the number one is obviously onboarding.

The user signs up and tells us their name, website, offer, then picks up, you know, the keywords that you care about.

And then with a clean pill, input flow, confetti goes off, whatever it may be.

Now, step two is that there's a daily scheduled Cron job, which in other words, is just a job that runs every day.

It's an edge function that takes the user's keywords, searches the last 24 hours on X and LinkedIn through the API with social fetch,

and then writes every fresh mention into their feed with no duplicates, right?

Now, three is the payoff.

The user opens their dashboard every day to a live feed of new mentions about their keywords, platform badges, the tags of the keywords, and filtering.

And it's everyday new results with no effort on their end.

Now, this is a template, guys, for a dozen products, right?

So once you can do this, you can build all of them.

The pattern that you learn today, which is pulling social data on a schedule, storing it in a user's dashboard,

act on what's new, is a skeleton of a whole of a category of tools, right?

So an influencer outreach dashboard that builds a database of creators across TikTok, Instagram, YouTube, etc., pulls their contact emails from their bios,

and then gives you a database right there is a lot of tools out there guys doing this

and making a lot of money a competitor monitor

that watches 20 rival sites and socials daily with the actual endpoints on social fetch

because they can scrape websites as well pings you the instant they ship something new

and that can just be tailored um to you know run with claude

and then claude can just tell you the signals or the changes

or the features updates right the next is something different it'd be like a sentiment trading bot, right?

Which is it watches big trading accounts on LinkedIn or Reddit or Twitter, then reads the mood of every new post or updates or news,

whatever it may be, and then acts on it, right?

It's the same building blocks every single time.

And with the sentiment trading bot, obviously it would just take the actual news or the updates

and then run something like the Binance API to buy crypto

or stock trading API to buy stocks based on news or sentiment.

so in essence really what i'm going to do now is show you how the actual tool works

so this is the landing page right

so know the moment someone's talking about you give echo keywords

your product your name a competitor comma misspelling whatever it may

be every day it searches x on linkedin we've got the

mock-up here um we have got the three steps one page

with every mention build a check in one day right this is just a simple landing page guys

but i'll still give you this code anyway we're going to click start monitoring

and we are going to log in with Oliver Burt, three plus one, and then Echo.

We are going to create an account.

And the first thing that will show us is this prompt.

So what should we call you?

So Ollie, what's your website?

Let's say rosewalt.dev.

It's then going to ask us, what do we sell?

So let's say we sell B2B marketing services for startups.

And then from here, it's going to ask us what keywords, and we've just defaulted this to 10, that we should watch out for.

So let's say if we're selling to, you know, marketing services to startups, let's say cold email, cold calling,

B2B leads, Let's say ZoomInfo and Apollo.io because those are two B2B lead services and sort of data platforms.

Let's say lead gen. Let's say cold outreach and cold outbound.

And then let's try and think of another one.

Let's say B2B SaaS and SaaS, right?

so we've reached the 10 keyword limit and then we can save

and finish there's a bit of confetti

and it says you're all set now this is the feed

where the first sweep of you know keywords comes in at

7 a.m i think mentions will start showing up here once we've searched x

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and linkedin for the keywords

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and from here obviously in the top right we can run

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the sweep now there's also a keywords tab where it shows us what we've added

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and taken away so we can just take away one and then re-add it and that's all saved to a back end.

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Obviously, you've got a blank settings and billing, right?

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So what we're going to do now, we're going to head over to the feed and we're going to click run sweep.

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And I'm just going to skip ahead to when it's done the sweep.

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So as you can see, guys, the sweep has actually taken our active keywords inside the edge function that we've set up, which I'll show you how to do in a minute.

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It's taken all of the queries.

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It's taken the credits from social fetch and

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if we just refresh the page again it's finding all of

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the recent mentions of cold calling cold email etc on twitter

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and linkedin and it's going to actually populate the feed shortly you can actually now see guys

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that the feed has been populated with mentions of all of our keywords right

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so obviously what i would likely add is a um a language filter

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so that obviously you know things like spanish leads weren't coming through

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and that kind of thing if we're obviously just in plain English.

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Obviously, you've got X here and all of the keywords.

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And then obviously on LinkedIn, you've got the keywords as well.

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And you can also view the originals of each of these.

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So a buddy wanted to start cold outbound for his insurance product.

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We're going to click view original.

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And obviously, this guy's actually posted about cold outreach in the last three hours, and he helps companies generate consistent pipeline.

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So you see how that is literally relevant to the keyword itself.

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And we found a post with different reactions and things like that.

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So that's how the actual product works and how we could find leads with it.

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And I'm now going to get into the segment of the video where we actually build this.

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Just a quick thing, guys, before we actually do build this, I've gone back to add this in.

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This is the table that is going to be tracking the keywords.

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You've also got the table that is tracking the monitored posts.

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And then you've obviously got the profiles, which for these testing purposes is just two of two of mine, basically.

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Now inside the video and in the description as well, there's going to be the SQL

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that we're going to be running to make all of these tables so you can just copy me.

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Okay guys, so the first thing we're going to do is create a super base account.

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So let's say oliverbert3 plus echo and let's just create a sign up.

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From there then I presume it's going to ask password is known

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so annoying man sign up

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and now what we're going to do is confirm our email confirm the email address

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and now we have okay there we are

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so let's just call it echo personal create organization and then And once the organization is created,

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we just have to use a database password.

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We'll just say enable data API, and we'll just say it's a European server, which is fine.

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And we've created a new project.

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And what we're going to do now is that's going to take a couple of minutes to actually propagate

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and say it's all healthy and all that, whatever it is.

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I don't know how fast that happens usually.

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and now we're going to go back over to cursor right

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so what I'll do is going to go open folder

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and I'm going to do a new folder and we're going to call it echo for youtube

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create and then we're going to open this up and then what we will do is go back over to our PRD.

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Now the PRD, obviously we've got the product requirements document.

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We've got the raw voice note as well that I gave to Claude.

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I'm going to say what this is.

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I'm going to just pop all this in.

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Now the next thing we're actually going to do is,

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or actually should we, I'm going to open the IDE instead,

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man, because the IDE is like something I'm more familiar with.

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So Echo YouTube, open this up.

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There we are.

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So from here now, we're going to go into Claude Code.

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And I'm going to paste in the entire PRD.

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And I'm also going to paste in from Claude the, where are we?

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Oh my god, this is long, man.

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We're going to post in the landing page.

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So copy the landing page.

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Paste that in.

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And we're also going to go into Superbase.

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and we'll run the schema afterwards actually.

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So where are we?

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Let's move this out of the way as well. So high effort.

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I'm going to just paste that in.

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So now that the entire PRD is being sent into Claude code,

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I'm just going to take the entire SQL that we created with Claude and run it in Superbase.

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So that's the wrong one.

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That's the wrong one.

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We're going to go into table editor, SQL editor, sorry.

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Understood, whatever it may be.

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And we're going to post that in.

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Now, if we do run, run query, this is obviously 200 lines long.

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So we're going to go into table editor.

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And we've got the table for the user's keywords, the monitored posts, the profiles and the sweep runs which is fine

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we're going to go into authentication i believe it is go down into

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users or what is it project settings i forget where this is

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it's not project settings basically what we're doing is turning off

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the requirement that users have to double confirm their email address.

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So emails, notifications, confirm sign up.

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There we are.

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So sign in, providers, allow new users to sign up and then confirm email.

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So save changes when we've turned that off.

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And now obviously I'm probably going to skip ahead

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because this is going to take ages and Claude is also going to probably ask me to confirm things and deny things.

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It's already set up our entire project so far

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and we're just going to wait for it to obviously finish the actual coding session.

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While that is actually working, we're going to go into the daily sweep index and we're going to copy this.

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And this is the edge function right so we're going to go into edge functions deploy a new function via editor

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we're going to call it daily sweep

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and we are going to paste this entire thing in and deploy the function now that that function is deployed, that is going to be the function

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that runs every day to check the platforms

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that we've connected to for the keywords for the user

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and then send it to their table so that every day when they log in, they see new people across these platforms that have mentioned their keywords.

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So whilst Claude is actually just running the code in the background, what I'm going to do is go through the full flow with social fetch

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and how we're using the API and then how we're actually creating something valuable, right?

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So step one is that user on boards.

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Step two is that they give keywords they want to track, right?

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So let's say that this could be, if you were a marketing agency, it could be Google Ads,

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PPC, Meta Ads, Return on Ad Spend, ROAS, LTV, and CAC, whatever it may be.

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So all of these keywords are relevant to marketing agencies, right?

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And obviously the idea is that if someone's mentioning that on Twitter or on LinkedIn, whatever it may be, maybe they're in your market to get your services.

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So if someone says Google ads, maybe their post or their tweet or their LinkedIn post, whatever it may be, might be saying, I've been trying to run Google ads, but it's unprofitable.

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So that's the notion is that we can reach out to those people and obviously say, okay, interesting.

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The same thing applies for, say, if you were a cold email agency, or let's say you were an influencer marketing firm, right?

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You help brands get more leads with, you know, get more sales with influencers.

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you could obviously target influencers um return um let's say um sort of cpms instagram leads whatever it may be

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influencer marketing

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and again this platform is going to allow us to keep

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an eye on those people who are mentioning these things

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and then obviously enrich them and reach out to them

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and talk to them So the next thing is that every day the edge function runs,

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finds these keywords online on X and LinkedIn.

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and we could even add Reddit later,

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then sends these posts to your inbox inside Echo.

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So that means that every day you get new people talking about your offer or service online.

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and there are dozens of tools

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that do this very profitably right in fact my last tool

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getseer.com was very profitable it was very very cool people loved it

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and all it did was obviously just track reddit and twitter

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and linkedin whatever it may be for people who mentioned these things

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so i'm effectively cloning an old software that i built that was profitable And then from there, there's unified inbox of all the people.

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And then later, the super play would be to add an enrichment piece.

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John mentions cold email on LinkedIn in.

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We enrich John with something like Apollo or Blitz API.

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And then that gives us John's email.

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And then we reach out to John.

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So, so far, obviously, Echo is only doing this.

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It finds keywords of people using stuff online or saying stuff online and then gives you their profile.

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and that's using the social fetch API every single day.

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What we could do is obviously from here, anyone who comes into your inbox as someone who has mentioned the actual tool

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or mentioned your services or mentioned they need help, we could then enrich those people with a B2B lead generation API, get their email or their mobile number,

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and then reach out to them.

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The same thing applies to, say, a website marketing agency.

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We're not getting enough leads from our website.

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That pings over to you, enriches them, and then you can call them or email them and say, I noticed online we're talking about this.

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So that's the general flow.

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And that's how social fetch is coming in.

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And why it's going to be so useful is

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because it's showing us every day the people who are mentioning that they need our services in so many ways.

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A super important thing is actually to add the API key

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from social fetch to the super base edge function secrets so

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that whenever the edge function is set or the edge function is triggered, obviously we have the API key.

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So I'm just going to create one on social fetch called YouTube video test.

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Going to create the key.

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We've been given the key and we're going to copy it.

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We're going to head on over to secrets and we are going to create a new secret.

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Cursor is saying that this is social fetch API key.

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API key and then we're going to save that in and that is done.

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Something small I'm doing is actually creating a new Superbase edge function called manual sweep.

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Now the reason we're doing this is because inside the dashboard

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the daily sweep is actually scheduled for you know every day at 7 p.m right

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which we're not going to wait for that just for the video

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so i'm actually going to create a new edge function

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that is able to be called by the user at any time

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and that's just for the sake of the of the testing of social fetch um

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and to actually you know get us some keywords into the dashboard to show you what we've built

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but every single day then at um 7 p.m the run is done again on the daily sweep

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that is the edge function daily sweep running and it will find the new users for that last 24 hours

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and put them inside your dashboard.

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Then a couple of things to tighten up guys before the

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end of the video really is one we're just going to pop into the feed

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and obviously the daily sweep or the manual sweep has been completed

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and you can obviously see all of the different posts that have come in.

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So from here you've obviously got the LinkedIn posts, you've got all of the x posts as well with our keywords etc

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and that's great and I just wanted to talk quickly about

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what we could add next to actually improve the value of this.

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So the two things that I would add is if you go to Blitz API, for example, it's obviously extremely expensive to run these kinds of things,

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but it's effectively an API library that manages,

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you know, to get you sort of emails and phone numbers from LinkedIn profiles or from emails, right?

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So say if you have an email, you can get their mobile number.

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If you have a LinkedIn profile, you could get their email and their mobile number.

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If you've just got a name and a domain, for example, like John Evans from johnevans.com, you could get his email and mobile.

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That kind of thing is obviously really powerful.

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And that's what we're talking about when we talk about API stacking, right?

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So what I would likely do is I would add next inside the LinkedIn post or article scraper, which we've added into the feed.

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obviously roberto vega right so in the original post you've got his actual linkedin right

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so we've got his linkedin profile you could then obviously feed

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that to blitz api to get robert vega's email

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and then send him an email and

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that would make our um tool echo 10 times more valuable

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because you're scraping all of the data

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and then stacking on another data um api

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which would be to get people's actual mobile and email right

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that that mobile email to actually do outreach

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and that's how you could sell this as a software

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that helps you find people who are talking about your products

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and then directly message them that's seriously cool right the next thing is

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that inside the playground for social fetch we could keep going down

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and you can find reddit right so we're just going to use the playground here

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so let's go to subreddit and subreddit posts let's go to entrepreneur

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and let's do the time frame being the last month and the top for the last month

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and we're going to send this

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and we have now got the top posts from the last

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month it's costed us only one credit out of thousands

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and then obviously we've got all of these posts right the same thing applies to the subreddit search

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so if we searched into entrepreneur and then search the query cold email and then time frame is of all time.

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We're obviously going to execute that request as well.

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And you've got literally inside this post, you've obviously got the most recent posts about cold emails and cold email and burner accounts.

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Our cold email reply rate went up, et cetera.

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All of these are obviously posts about the actual keyword.

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What I would add in is I would use the Reddit search

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and the Reddit post search and post comment search to improve this by obviously monitoring every single day,

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Reddit posts and Reddit subreddits so that you could find keywords across those platforms as well.

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It doesn't even dive into the possibility of, you know, obviously monitoring people who are inside the cold email space,

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for example, or the the software space on TikTok or on Twitter or on YouTube or on LinkedIn, et cetera.

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This is just an exciting sort of API or, you know, kind of like product suite to offer.

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But the one that I would do is I would scrape LinkedIn every day for people who were talking about the product.

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And then I would use something like Blitz API to enrich their mobiles and emails.

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And then obviously it goes even further because you could use agent mail then

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to actually send the actual emails to those people.

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So imagine a software that you signed up to called Echo, like we talked about and like we built, where you sign up, you give their details, you give your details and the emails,

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the keywords you want to track.

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Then it finds all of those people who are mentioning those keywords on the internet, and then it enriches their profiles with emails and mobiles and then sends them a cold email.

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That is literally what multi-million dollar tools like Artisan are doing and Lavender,

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or these kinds of tools that are running these kind of outbound motions.

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Goji Berry, all of these tools are worth millions of dollars and they're doing exactly what we've built today.

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All you would have to do is tell Claude Co to just add in the Blitz API.

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You can get a thousand credits.

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The same thing applies to all of these other different tools that do these sort of mass outbound motions and APIs.

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The same thing goes for Malt Sets, I believe it is.

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So Malt Sets is something that you can integrate with to do something like this.

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Just have a think, guys, about how you could best use this API

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and feed the data into something else to make a truly sort of valuable product.

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And obviously, like I said, guys, if you need any questions answered, they'll be in the description.

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A lot of the documents and things like that, just comment whenever it may be.

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I'll be there to help.

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But try out Social Fetch.

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try out you know building your own tool with this

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and think about all the opportunities go to social fetch

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and just feed social fetches landing page to claude

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and ask it for 10 ideas of how you can make an api wrapper

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and who you could sell to how you can make it profitable and i'll see you guys in the next video

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इस पाठ की शब्दावली और बोलने के सुझाव

यह C1 स्तर का स्पीकिंग पाठ वीडियो “I Wrapped an API Into a Real SaaS” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: obviously, api, keyword, email, linkedin। इस वीडियो में शैडोइंग के लिए 338 वाक्य और 4558 शब्द हैं। बोला गया हिस्सा 27:28 लंबा है। वक्ता लगभग 166 शब्द प्रति मिनट की स्वाभाविक गति से बोलता है, जो रोज़मर्रा की बातचीत के करीब है। 84% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं; बाकी शब्द अभ्यास से पहले देख लेना अच्छा रहेगा।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सबसे कठिन शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
sweep क्रिया	/swiːp/	सफ़ाई करना
echo संज्ञा	/ˈɛk.oʊ/	गूँज, गूंज
scrape क्रिया	/skɹeɪp/	कुरेदना, छीलना
influencer संज्ञा	/ˈɪnflu.ənsə(ɹ)/	इन्फ़्लुएंसर
pasta संज्ञा	/ˈpɑ.stə/	पास्ता
profitable विशेषण	/ˈpɹɑ.fɪ.tə.bl̩/	लाभदायक, लाभप्रद
confetti संज्ञा	/kənˈfɛ.ti/	कन्फ़ेटी
folder संज्ञा	/ˈfoʊldɚ/	फ़ोल्डर
playground संज्ञा	/ˈpleɪɡɹaʊnd/	खेल का मैदान, क्रीड़ास्थल
competitor संज्ञा	/kəmˈpɛt.ɪ.tɚ/	प्रतियोगी, प्रतिस्पर्धी
entrepreneur संज्ञा	/ˌɑn.tɹə.pɹəˈnɝ/	व्यवसायी, उद्यमी
stack संज्ञा	/stæk/	धुआँरा
password संज्ञा	/ˈpæs.wɜɹd/	पासवर्ड
schema संज्ञा	/ˈskiːmə/	मनोबंध
unprofitable विशेषण	/ʌnˈpɹɑf.ɪ.təbl̩/	लाभहीन

वीडियो में आने वाली फ़्रेज़ल वर्ब

शब्द	अर्थ
pick up क्रिया	उठाना
turn off क्रिया	बंद करना

दोहराने लायक वाक्य

वीडियो के छोटे, पूरे वाक्य जिन्हें आप रोज़ की बातचीत में इस्तेमाल कर सकते हैं:

It's then going to ask us, what do we sell?
Let's say cold outreach and cold outbound.
Obviously, you've got a blank settings and billing, right?
We're going to click view original.
I don't know how fast that happens usually.

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है	We've talked · we've just defaulted · we've reached
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है	is powered · being fed · be tailored
Relative clauses who / which + उपवाक्य — व्यक्ति या वस्तु के बारे में अतिरिक्त जानकारी	dev, which is · this, which is · today, which is

ध्यान देने योग्य उच्चारण

वक्ता 128 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे we're, we've, I'm। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“sh” और “zh” की ध्वनियाँ: dashboard /ˈdæʃˌboɹd/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, refresh /ɹɪˈfɹɛʃ/, notification /ˌnoʊtɪfɪˈkeɪʃn̩/, documentation /ˌdɑkjəmɛnˈteɪʃən/
लंबे शब्द — बलाघात सही रखें: influencer /ˈɪnflu.ənsə(ɹ)/, competitor /kəmˈpɛt.ɪ.tɚ/, entrepreneur /ˌɑn.tɹə.pɹəˈnɝ/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, profitably /ˈpɹɑ.fɪ.tə.bli/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

/v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: keyword /ˈkiː.wɜːd/, sweep /swiːp/, query /ˈkwɪɹ.i/, password /ˈpæs.wɜɹd/, relevance /ˈɹɛl.ɪ.vən(t)s/
शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: sweep /swiːp/, scrape /skɹeɪp/, scraper /ˈskɹeɪpɚ/, startup /ˈstɑɹtˌʌp/, stack /stæk/
/æ/ — “ऐ” से ज़्यादा खुला: dashboard /ˈdæʃˌboɹd/, wrapper /ˈɹæpɚ/, stack /stæk/, password /ˈpæs.wɜɹd/, badge /bæd͡ʒ/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर sweep, echo, scrape जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: I Wrapped an API Into a Real SaaS (full build / step-by-step) - वीडियो के साथ अंग्रेजी बोलना सीखें

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