Практика Shadowing: I Wrapped an API Into a Real SaaS (full build / step-by-step) - Изучайте разговорный английский по видео

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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

100

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.

123

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.

126

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

127

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

128

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

129

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

130

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

131

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

132

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.

135

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.

158

There we are.

159

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.

163

We're going to post in the landing page.

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So copy the landing page.

165

Paste that in.

166

And we're also going to go into Superbase.

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and we'll run the schema afterwards actually.

168

So where are we?

169

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

170

I'm going to just paste that in.

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

172

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

173

So that's the wrong one.

174

That's the wrong one.

175

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

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Understood, whatever it may be.

177

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

181

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

184

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

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So emails, notifications, confirm sign up.

186

There we are.

187

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.

189

And now obviously I'm probably going to skip ahead

190

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

191

It's already set up our entire project so far

192

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

193

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

194

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

195

we're going to call it daily sweep

196

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

197

that runs every day to check the platforms

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

199

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.

200

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

201

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

202

So step one is that user on boards.

203

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

204

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

205

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

206

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

207

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.

208

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?

211

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

215

an eye on those people who are mentioning these things

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and then obviously enrich them and reach out to them

217

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

218

finds these keywords online on X and LinkedIn.

219

and we could even add Reddit later,

220

then sends these posts to your inbox inside Echo.

221

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

222

and there are dozens of tools

223

that do this very profitably right in fact my last tool

224

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

225

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

227

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.

234

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

235

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

237

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

245

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

246

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

258

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

272

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

300

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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Лексика и советы по произношению к этому уроку

Этот урок разговорной практики уровня C1 построен на видео «I Wrapped an API Into a Real SaaS». Чаще всего повторяются слова: obviously, api, keyword, email, linkedin. В этом видео 338 предложений и 4558 слов для шедоуинга. Речь длится 27:28. Говорящий говорит в естественном темпе, около 166 слов в минуту, близком к повседневной речи. 84% слов входят в 3000 самых частых слов английского языка; остальные стоит разобрать перед занятием.

Ключевая лексика этого видео

Самые сложные слова из видео (15), с произношением и значением:

Слово	Произношение	Значение
keyword существительное	/ˈkiː.wɜːd/	ключево́е сло́во
fetch глагол	/fɛt͡ʃ/	приноси́ть, принести́
sweep глагол	/swiːp/	подмета́ть, мести́
echo существительное	/ˈɛk.oʊ/	э́хо, отголо́сок
scrape глагол	/skɹeɪp/	скрести́, поскрести́
dashboard существительное	/ˈdæʃˌboɹd/	прибо́рная пане́ль, торпе́да
enrich глагол	/ɪnˈɹɪt͡ʃ/	обогащать
subreddit существительное		сабре́ддит
influencer существительное	/ˈɪnflu.ənsə(ɹ)/	инфлюэ́нсер
blitz существительное	/blɪts/	внезапное нападение
pasta существительное	/ˈpɑ.stə/	макаро́ны, макаро́нные изде́лия
profitable прилагательное	/ˈpɹɑ.fɪ.tə.bl̩/	вы́годный, при́быльный
outbound прилагательное	/ˈaʊtbaʊnd/	исходя́щий
cursor существительное	/ˈkɜːsə/	курсо́р, стре́лка
endpoint существительное		конец промежутка

Фразовые глаголы, которые вы услышите

Слово	Произношение	Значение
sign up глагол		запи́сывать, записа́ть
set up глагол	/ˌsɛt ˈʌp/	устана́вливать, установи́ть
try out глагол		про́бовать, попро́бовать
go down глагол		спуска́ться, спусти́ться
go off глагол		взрыва́ться, взорва́ться
go up глагол		поднима́ться, подня́ться
pick up глагол		подбира́ть, подобра́ть
show up глагол		объявля́ться, объяви́ться

Фразы, которые стоит повторять

Короткие законченные фразы из видео, которые пригодятся в повседневном разговоре:

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.

Грамматика в этом видео

Конструкции, которые говорящий использует чаще всего, с точными словами из видео:

Конструкция	В видео
Present Perfect have/has + причастие прошедшего времени — прошлое действие, важное сейчас	We've talked · we've just defaulted · we've reached
Пассивный залог be + причастие прошедшего времени — важно, что происходит, а не кто это делает	is powered · being fed · be tailored
Придаточные определительные who / which + предложение — уточнение о человеке или предмете	dev, which is · this, which is · today, which is

Произношение, на которое стоит обратить внимание

Говорящий использует 128 сокращённых и редуцированных форм, например we're, we've, I'm. Произносите их коротко, так, как слышите.

Звуки «sh» и «zh»: dashboard /ˈdæʃˌboɹd/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, refresh /ɹɪˈfɹɛʃ/, notification /ˌnoʊtɪfɪˈkeɪʃn̩/, documentation /ˌdɑkjəmɛnˈteɪʃən/
Длинные слова — следите за ударением: influencer /ˈɪnflu.ənsə(ɹ)/, competitor /kəmˈpɛt.ɪ.tɚ/, entrepreneur /ˌɑn.tɹə.pɹəˈnɝ/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, profitably /ˈpɹɑ.fɪ.tə.bli/

Звуки, трудные для русскоязычных:

/w/ — губы округлены, это не /v/: keyword /ˈkiː.wɜːd/, sweep /swiːp/, query /ˈkwɪɹ.i/, password /ˈpæs.wɜɹd/
Звонкие согласные в конце слова — не оглушайте их: keyword /ˈkiː.wɜːd/, dashboard /ˈdæʃˌboɹd/, outbound /ˈaʊtbaʊnd/, playground /ˈpleɪɡɹaʊnd/, password /ˈpæs.wɜɹd/

Как заниматься с этим видео

Прослушайте всё видео один раз молча и выпишите незнакомые слова.
Начните со скорости 0,75×, повторяйте предложение за предложением и вернитесь к обычной скорости, когда станет легко.
Запишите себя и сравните с оригиналом, обращая внимание на такие слова, как keyword, fetch, sweep.

Что такое техника Shadowing?

Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.

Техника шедоуинга: читать полное пошаговое руководство →

Практика Shadowing: I Wrapped an API Into a Real SaaS (full build / step-by-step) - Изучайте разговорный английский по видео

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Лексика и советы по произношению к этому уроку

Ключевая лексика этого видео

Фразовые глаголы, которые вы услышите

Фразы, которые стоит повторять

Грамматика в этом видео

Произношение, на которое стоит обратить внимание

Как заниматься с этим видео

Что такое техника Shadowing?