Cara menggunakan platform pertama API untuk membina laman web anda dengan lebih pantas

Cara menggunakan platform pertama API untuk membina laman web anda dengan lebih pantas

Alat seperti Jekyll, Hugo, atau Hexo telah mempopularkan laman web statik dalam beberapa tahun kebelakangan ini. JAMstack yang dipanggil membolehkan anda menyampaikan kandungan yang sangat dinamik tanpa lapisan belakang sama sekali. Selain itu, API pertama pemaju membolehkan pemaju front-end membina fungsi yang lebih kompleks. Ini dapat mereka lakukan tanpa meninggalkan kotak pasir penyemak imbas. Mari kita lihat bagaimana anda dapat memanfaatkan platform API pertama yang moden untuk menghantar prototaip aplikasi perniagaan yang kukuh. Pendekatan yang disajikan dalam artikel ini mungkin menjadi aset berguna dalam kotak alat arkitek penyelesaian anda.

Tutorial terdiri daripada 2 bahagian:

  • Yang pertama akan menunjukkan kepada anda bagaimana merancang aplikasi untuk mendapatkan jalan bahagia yang disebut. Kami akan membina prototaip separa automatik yang boleh anda gunakan untuk mendapatkan maklum balas pengguna mengenai sesi demo
  • Yang kedua menerangkan cara meningkatkan automasi proses perniagaan sehingga aplikasi dapat menangani lalu lintas awal dalam pengeluaran

Apa platform pertama API?

Seperti yang dijelaskan oleh Ed Shelley dari ChartMogul, terdapat beberapa ciri perkhidmatan yang agak sukar dilupakan:

  • TIADA antara muka pengguna (GUI). Atau dalam beberapa kes, ada GUI tetapi ia sekunder daripada produk teras.
  • Interaksi dengan perkhidmatan adalah melalui API berasaskan web. Ini adalah cara terprogram untuk menghubungkan perkhidmatan dan memindahkan data ke seluruh web dengan cara yang mudah dibaca oleh mesin.
  • Nilai perkhidmatan biasanya terdapat dalam data yang disampaikan (melalui API).
  • Harga sering berdasarkan penggunaan, yang bermaksud bahawa kosnya berdasarkan jumlah permintaan yang dibuat ke API.

Pada dasarnya, apa yang mereka tawarkan adalah sekumpulan blok bangunan, biasanya dalam model SaaS. Ini boleh anda gunakan untuk membina fungsi tertentu dengan kurang kod. Salah satu wakil pertama dan mungkin paling terkenal adalah Stripe.Stripe membantu memproses pembayaran. Namun, anda mungkin pernah mendengar tentang ikan besar lain baru-baru ini yang muncul dari pasar, seperti Twilio atau Algolia.

Mengapa menggunakan platform pertama API?

Mari mulakan dengan penafian kecil. Tutorial ini menerangkan bagaimana mengembangkan aplikasi tanpa sisi pelayan sama sekali. Namun, kami percaya bahawa itu bukan pendekatan pragmatik terhadap seni bina perisian.

Sebaliknya, kami ingin mengetengahkan beberapa bahagian mesin belakang anda yang tidak perlu anda laksanakan dari awal. Hal ini berlaku terutamanya apabila keperluan perniagaan untuk ciri tertentu tidak terpengaruh dan tujuan anda adalah untuk benar-benar mengetahui. Dengan kata lain, untuk mengetahui apakah fungsi tersebut mendapat sambutan positif dari pengguna dan akhirnya mendapat tempat dalam produk anda.

Pada masa yang sama, anda tidak mahu mengunci produk anda dengan vendor yang menyediakan penyelesaian di luar kotak. Ini kerana anda tahu ia akan membawa kepada "penyelesaian neraka" cepat atau lambat. Dan, seperti yang anda pelajari, sukar untuk kembali dari sana.

Untuk memberi anda contoh, bayangkan syarikat anda mahu membina blog. Lebih-lebih lagi, mereka telah menyatakan bahawa mereka ingin memperluasnya dan mengewangkannya di jalan raya. Terdapat 2 syarat tersirat yang perlu anda pertimbangkan sebelum membuat timbunan teknologi dalam senario seperti ini:

  • Anda ingin menghantar fungsi blog dengan cepat - perniagaan tidak sabar menunggu lama blog mudah.
  • Anda tidak mahu akhirnya menyulap plugin Wordpress.

Jenis alat yang ingin kami kemukakan mungkin jawapannya. Mereka memberi anda beberapa blok bangunan yang berfungsi dan satu-satunya tugas anda adalah menyesuaikannya dengan perniagaan anda.

Anda gembira kerana anda mempunyai kawalan penuh ke atas pangkalan kod anda. Selain itu, pihak pengurusan juga gembira kerana mereka mendapat nilai dari hari pertama.Tambahan, mereka tidak perlu membayar di muka!

Oleh itu, mari kita tunjukkan bagaimana alat ini dapat menjimatkan masa kejuruteraan selama berminggu-minggu sambil tetap membuka pangkalan kod anda untuk perubahan.

Catatan: Alat yang akan kita gunakan berfungsi dalam mod sisi pelayan juga. Mereka sebenarnya menawarkan lebih banyak fungsi ketika disambungkan menggunakan kunci API selamat. Oleh itu, kami rasa lebih pragmatik untuk mengintegrasikannya di bahagian pelayan. Walaupun demikian, sebagai eksperimen, kami akan menggunakan fungsi sisi pelanggan sahaja. Selain itu, kami akan menggunakan beberapa gam Zapier untuk mengautomasikan proses perniagaan yang berbeza dengan cepat.

nostalgia.io

Kami akan membina pasaran untuk perunding teknologi web lama - nostalgia.io. Sekiranya anda mencari bantuan dengan sistem lama berdasarkan Struts atau Google Web Toolkit, ini adalah tempat yang tepat untuk dikunjungi. Pada bahagian pertama tutorial ini, kita akan belajar bagaimana memanfaatkan beberapa platform pertama API untuk menghantar fungsi berikut:

  • Melayari teknologi lama
  • Pencarian dan penapisan teks penuh pakar
  • Menempah perjumpaan dengan pakar
  • Potongan harga dengan kupon

Tumpukan teknologi terdiri daripada:

  • Berpuas hati - sebagai pangkalan data untuk teknologi dan pakar
  • Algolia - untuk carian teks penuh
  • Timekit - untuk pemeriksaan dan tempahan ketersediaan
  • Jenis taip - untuk borang
  • Voucherify - untuk pengurusan kupon (penafian: ini adalah produk kami)

Catatan: Kami tidak akan merangkumi proses pengesahan dan pembayaran itu sendiri. Anda boleh mencuba melaksanakannya sendiri sebagai kerja rumah (petunjuk: auth0 dan Stripe mungkin bermanfaat).

Mari masuk ke kod.

Catatan 1: singkatnya, kami tidak akan menerangkan panduan langkah demi langkah terperinci. Anda harus mencari bahagian yang hilang dalam spesifikasi - untungnya, penyedia API pertama cenderung mempunyai dokumen mesra pemaju, rujukan API yang komprehensif, dan puluhan panduan berguna.

Catatan 2: terdapat banyak cara untuk menghoskan laman web statik anda. Kami akan menggunakan platform pengembangan kesalahan sehingga anda dapat memperbaikinya dengan mudah dan bermain dengannya sendiri.

Nota 3: kami tidak peduli dengan tampilan dan nuansa aplikasi agar tidak mengaburkan bahagian integrasi, ditambah pula dengan tema perniagaan, bukan? :)

Model Data - Berguna

Biasanya, reka bentuk aplikasi dimulakan dengan model hubungan data. Ini juga harus menjadi perhatian pertama bagi kita. Tetapi mari kita lewatkan perbincangan penyedia pangkalan data sebentar dan terus masuk ke dalam model. Bagaimana?

Temui Berpuas hati - CMS tanpa kepala. Dengan menggunakan penyederhanaan yang jelas, anda boleh menganggapnya sebagai Wordpress tanpa front-end.

Ia membolehkan:

  • pemaju untuk menyampaikan kandungan yang disesuaikan dengan media, sama ada laman web, aplikasi mudah alih atau peranti VR - ini dilakukan melalui RESTful API
  • pemasar untuk membuat, mengurus, dan menerbitkan kandungan tanpa harus berurusan dengan pemformatan - dengan sokongan papan pemuka pemodelan kandungan dan editor teks kaya

Kami akan menggunakan Contentful untuk membuat 2 entiti asas - Teknologi dan Pakar. Seorang Pakar mengetahui satu atau banyak Teknologi. Mari lihat betapa mudahnya membuat entiti seperti itu, menambahkan beberapa objek sebenar, dan memaparkannya di halaman statik.

Penyemak Imbas Teknologi

Dengan pengurus model Contentful, merancang entiti semudah menyeret bidang baru ke pengurus model kandungan data. Terdapat 8 jenis yang berbeza. Ini termasuk lalai, seperti rentetan atau nombor. Terdapat juga beberapa jenis tertentu, seperti Lokasi atau Media, yang dilengkapi dengan sifat berguna.

Buat akaun percuma. Kemudian ikuti panduan menaiki kapal terbang untuk membuat ruang.

Akhirnya, buat model pertama anda, serupa dengan yang anda dapat lihat dalam tangkapan skrin di bawah:

Now that you have the Technology model, go to the Content tab to create a couple of instances. As you can see, Contentful provides an intuitive editor for data entry. It takes care of data validation, localization, publishing status, version control, and much more. It’s first and foremost a developer-first platform. Yet these features satisfy marketers and content managers too.

Enough clicking, let’s get to coding. The first task is to display the technologies we’ve just created. To do so, we’ll use Contentful JavaScript SDK.

It makes fetching technologies easy and comes down to 3 steps:

  • Create a new glitch website project, load the contentful.js script, and initialize it with the credentials you can find in the API section.

Note: there are 2 types of keys available in Contentful. One is for content management and one is for content delivery.

The first type can be used to create, update, or delete new models or their instances programmatically.

The second gives you a way to deliver your content to your website or app.

This distinction has been made for security reasons. You don’t want to publish your content management keys on your website, do you? The same applies to the other API-first platforms we’re using in this tutorial.

  • Call getEntries method. This loads the content according to your query parameters. In our case, we want to load only the “Technology” entities. Build some front-end on top of the data . What you get from Contentful is pure JSON (example). Now you can display it to your users as you want. That’s one of the biggest pros when you want or have to adapt your content to multiple devices.

Take a look at this gist:

const client = contentful.createClient({ space: SPACE_ID, accessToken: ACCESS_TOKEN }) const techCards = document.querySelector('#cards'); function fetchTechnologies () { return client.getEntries({ content_type: "technology" }) .then((response) => response.items) .catch((error) => { console.log(`\nError occurred while fetching Entries for Technology:`) console.error(error) }) } fetchTechnologies().then((technologies) => { techCards.innerHTML += technologies.map(technology => ` 

${technology.fields.name}

${technology.fields.description}

`).join('') })

Short and sweet, isn’t it? You can see the overall effect here.

Adding Experts and the Search

So, now we want to display the list of experts when somebody chooses a particular tech. That should be similar to what we’ve just done with Technology a second ago. But let’s make it a bit more advanced. What if we want to make experts searchable? Think of full-text search in their profiles and also a price filter.

Certainly, you can build it on top of Contentful. For example, add another entity, configure search mechanics and UI with getEntries, but there’s a faster way. And by saying faster I mean in both implementation time and the speed of loading search results.

We’ll use another API provider — Algolia. Their platform makes it easy to build and maintain super-fast full-text search. They take care of typo-tolerance, synonyms, geosearch and other little issues. These issues you would most likely bump into when your search feature goes to production.

How does it work? You just use a RESTful API to feed their engine with the data. Then, you configure what attributes should be searchable and how the results should be ranked. Finally, using their JavaScript SDK, you can deliver the instant search experience to any website. Let’s make our experts searchable now!

We’ll start off by creating a data model in Contentful and creating a relationship with Technology entity. Then, we’ll build an Algolia index and add our entities (JSON format) to it.

Add another content model with the fields you can see below:

Notice that we’ve made a one-to-many relationships using the Reference field type. We just want to reflect that any expert might know more than one tech. Once ready, add some experts and assign them to their technologies manually. Use multiple technologies for one of the experts.

You should end up having a similar list:

And the JSON structure looks like:

 { "sys":{ "space":{ "sys":{ "type":"Link", "linkType":"Space", "id":"n763nxcwuf4y" } }, "id":"1mn1mwlwAcQWqgQamsIEmW", "type":"Entry", "createdAt":"2017-12-05T11:29:35.202Z", "updatedAt":"2017-12-13T10:04:52.381Z", "revision":7, "contentType":{ "sys":{ "type":"Link", "linkType":"ContentType", "id":"expert" } }, "locale":"en-US" }, "fields":{ "name":"Javier Hernandez", "technologies":[ { "sys":{ "type":"Link", "linkType":"Entry", "id":"5oKmKwfdjGO2cCaCkwamKW" } }, { "sys":{ "type":"Link", "linkType":"Entry", "id":"7Dtej0GnXqw6cSIMmA6Cko" } } ], "image":{ "sys":{ "type":"Link", "linkType":"Asset", "id":"4RZoQOCwvCMEWMMCuqA0ey" } }, "description":"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Sed faucibus turpis in eu mi bibendum. Mauris in aliquam sem fringilla ut. Tincidunt nunc pulvinar sapien et ligula. ", "projects":53, "price":40, "city":{ "lon":2.2247314453125, "lat":41.36933709640475 } } }

Let’s upload our experts to Algolia. Sign up for a free account, go to the Indices section and run NEW INDEX.

Now we need to transfer our entities from Contentful to Algolia. We could’ve used a dedicated migrator. This is a fantastic tool that automatically loads your content. It then removes, in this case redundant, the Contentful system information (see the gist above) from effective JSONs. It can also resolve relationships. For example instead of IDs, you’ll send the actual names when it comes to the “technologies” field. Finally it syncs with the Algolia index.

But we’ll deliberately do it manually. We need a small improvement in the way we build our index. Therefore, syncing one-to-one with the migrator isn’t an option in our case.

When we use search input in a technology site, naturally we want to include only the experts of chosen technology in the search results. As you can see in the Expert JSON example, technologies are represented as an array of objects. The problem is that you can’t build a facet which filters the data based on a nested array of objects with Algolia.

What they suggest is to split the expert object into as many sub-objects as the number of technologies. So, in the case of Javier Hernandez, who knows 2 frameworks, we should add 2 objects:

{ name: "Javier Hernandez", technologies: { name: “Google Web Toolkit” … // other properties } … // other properties } { name: "Javier Hernandez" technologies: { name: “Apache Struts 1” … // other properties } … // other properties }

As an exercise, you can create a script that splits experts and adds them to the index through the Algolia API. You’ll need Algolia server-side authentication keys. Here’s a snippet which handles the split logic. Notice that the script also purges Contentful’s system info.

This makes the objects lighter will make the search faster:

client.getEntries({ content_type: "expert" }) .then((response) => { const denormalized = [].concat(...response.items.map(item => { let arr = [] item.fields.contentfulID = item.sys.id delete item.sys item.fields.technologies.forEach(tech => { const i = JSON.parse(JSON.stringify(item)) i.fields.technologies = tech.fields i.fields.image = item.fields.image.fields arr.push(i.fields) }) return arr })) console.log(JSON.stringify(denormalized)) }) .catch((error) => { console.log(`\nError occurred while fetching Entries for Expert:`) console.error(error) })

As we have 6 experts and 2 of them know 2 technologies, we should end up with 8 objects in the index. As an alternative to the API insert method, you can upload them with the dashboard. Once uploaded, you can try to use the search in the Dashboard to see how fast Algolia filters the data.

Now, we’re almost ready to connect our search to Algolia. Almost — because we need to create a facet which will allow us to filter results by technology and price. Go to DISPLAY and select technology.name and price in “Attributes for faceting”, then Save.

Finally, we can connect our search to our index so that it retrieves and displays the results. Algolia comes with an advanced JavaScript library which makes it easy as pie.

Take a look at this code:

const isConfig = { appId: 'N675AF3ESI', apiKey: '14b65c352deb9a505131d3d00cba2f6c', indexName: 'experts', urlSync: false } isConfig.searchParameters = { filters: `technologies.name:"${selectedTechnology}"` } const search = instantsearch(isConfig) search.addWidget( instantsearch.widgets.searchBox({ container: '#search-input' }) ) search.addWidget( instantsearch.widgets.hits({ container: '#hits', hitsPerPage: 10, templates: { item: document.getElementById('hit-template').innerHTML, empty: "We didn't find any results for the search \"{{query}}\"" }, cssClasses: { root: 'row', item: 'col-md-4' } }) ) search.addWidget( instantsearch.widgets.rangeSlider({ container: '#price-refinement', attributeName: 'price', tooltips: { format: function(rawValue) { return '$' + Math.round(rawValue).toLocaleString(); } } }) ) search.start()

Notice how we configure the search to use the technology filter in lines 8–10. See how easy it is to adjust the result page to a respective container — line 28 (though it’s hard to find in the docs).

Overall, with about 2-dozen lines and you get this:

So far, we’ve built a simple expert browser supporting full-text search and price sliders. Adding new experts is troublesome at this stage because you have to first manually create them in Contentful and then sync it with Algolia. We’ll automate this in the second part.

The good news is that you can already use this prototype to get some early feedback for the technology browsing and experts filtering. The next step is to create the expert profile page and enable booking.

The search demo code can be found in experts.html.

Bookings

As you might’ve guessed, we won’t be implementing calendar functionality from scratch either. We’ll use Timekit. They offer the API + dashboard to manage calendars and bookings for people and resources. Think of it as a Google/Outlook calendar engine exposed with REST API.

The process of making experts bookable with Timekit is as follows:

  • Create a Resource entity and an assigned Calendar entity
  • Store the resource and calendar IDs in a corresponding expert entity in Contentful
  • Use Timekit JS SDK to display the calendar on an expert’s profile page

And that’s it, you’ve just got bookings up-and-running! Don’t believe me? Read on:

  • Create an account and start a free trial (there’s no free version).
  • Create a Project in which you’ll define the basic calendar mechanics . For instance, event duration, minimum notice, and reminders.
  • Define if the booking requests should be accepted automatically or must be confirmed manually.

For each expert, create a resource and within this resource, create a calendar. Notice that one resource might have more than one calendar.

This is a nice feature to keep in mind when we plan some upgrades in Nostalgia’s business model.

Now, we have to store the resource’s email, newly created calendar ID, and the client-side API key in the corresponding expert entity in Contentful.

You can edit the expert content model and add a JSON field named timekit. Then, modify the expert entities to add timekit details.

The last step is to display the actual calendar in the expert’s profile page. You already know the process. Include an SDK script and configure it properly to render the widget.

But this time we need to load 2 libraries:

  • Contentful — to load customers details, including Timekit credentials
  • Timekit — to place the calendar assigned to a given expert

Here’s the code:

const widget = new TimekitBooking() const client = contentful.createClient({ space: SPACE_ID, accessToken: ACCESS_TOKEN }) client.getEntries({'sys.id': expertId}).then((response) => { const e = response.items[0].fields expertWidget.innerHTML= ` 

${e.name}

$${e.price}

projects: ${e.projects}

${e.description}

` const timekitConf = e.timekit widget.init({ targetEl: '#bookingjs', app: 'nostalgia-4592', apiToken: timekitConf.apiToken, email: timekitConf.email, calendar: timekitConf.calendar, name: 'Jane Doe', timekitFindTime: { length: '3 hours', start: 'tomorrow', filters: { and: [ { specific_time: { start: '8', end: '17' }} ] } }, fullCalendar: { defaultView: 'month' } }) }) .catch((error) => { console.log(`\nError occurred while fetching Entries for Expert:`) console.error(error) })

Notice how we can adjust the booking details such as time slots (line 39). Timekit offers even more customization capabilities, so make sure to read the booking.js spec.

The effect just blows us away. Twenty lines of code and we have our booking widget in place. Timekit oversees the whole process for you. It helps with resolving conflicts and sends email confirmations to experts and customers.

The most important thing is that this approach is highly flexible. It’s all in code. Every single piece of this mechanism can be adjusted through the API.

For example, let’s suppose we want to review a booking request before accepting. It just so happens that Timekit makes it possible with a single flag. Such options are the real power of API-first solutions. Make sure you read the tutorials and docs to learn all the features.

Coupons

Nostalgia isn’t a well-known business yet. We need to find some way to attract early adopters. One of the oldest and most successful methods is discounts. A discount might be applied either after redeeming a coupon or because of the volume of products in the cart. To implement both cases, you might want to use Voucherify.

Why Voucherify? There are a few basic things you should get right when you want to handle coupons properly to save yourself tons of engineering time:

  • Uniqueness of coupon codes — To reduce fraud and get precise tracking of your promotional campaigns
  • Extensible coupon validation mechanism — This is a generic approach which enables adding/removing/expiring multiple coupon codes
  • Easy monitoring of redemption — This will answer marketing and customer service department questions off the bat

You can take care of these 3 things yourself. However, you can get the same result with a couple of lines using Voucherify API endpoints. By doing so, you can immediately forget about coupon misuse, maintaining the “if” ladder validating whether the code is active and valid. You can also forgo providing marketing teams with coupon campaigns results. Nor will you be drilling down the logs to understand why a customer’s redemption failed.

Let’s create a bulk 1000 coupons. These we’ll send to our early adopters. Finally let’s give the customers the possibility to actually use them in our website to enjoy discounted prices.

Sign up for a Voucherify account and go to the campaign manager to create the first batch of coupon codes. Let’s say each coupon carries 25% off.

In the manager, you can specify the discount details and other business limits. For example, specify the expiration date, max total amount, or a specific customer segment eligible for the discount.

When the manager is done, you can start distributing coupons through various channels. Voucherify offers email, sms, push notification, intercom or braze out of the box. But there’s a lot of other ways available thanks to REST API and webhooks.

Before you send them out, you should give customers an option to redeem them. This can be achieved by using the redemption endpoint from the API. Yet, you can also use the pre-built widget from voucherify.js.

Voucherify allows you to either validate or redeem the coupon.

The validation checks if:

  • the coupon comes from your Voucherify account
  • is not expired or disabled
  • it matches all business rules

The redemption does the validation first and subsequentlymarks the coupon as used. In this part, we’ll wire in validation only to show customers a discounted price. In the second article, we’ll send a redemption request when the booking is confirmed.

Include voucherify.js snippet and optionally the corresponding CSS file for a better look and feel. Then, put in the following code:

Voucherify.initialize( "4dde7477-d8d1-4057-8f91-8a9e7137acee", "404c6c0b-4445-4f14-84b1-f4a58f1da2f6" ) Voucherify.render("#voucher-widget", { textPlaceholder: "Your coupon...", onValidated: function(response) { if (response) { const priceTag = document.querySelector('#priceTag') priceTag.innerHTML = Voucherify.utils.calculatePrice(parseInt(priceTag.innerHTML), response) } } })

The library will render a coupon widget which automatically validates the code against the Voucherify API.

You can test it out with the codes we’ve pre-generated with the campaign manager:

* 25% off: nstlg-CCAMIDFf, nstlg-wZK4CoLs, nstlg-V8eV9A3p

* $5 off: uub-nstlg, afl-nstlg, yeq-nstlg

* expired code: VuFF2Wyy

Notice that you can easily customize codes patterns, prefixes and post-fixes can be useful for tracking and reporting.

Now, paste any coupon code into the widget and see the corresponding discount applied:

n the 2nd article, we’ll show you how to monitor the successful and failed coupon redemptions to see if your promo campaign is on track.

Voucherify offers much more than that. Check out the docs and examples to find out how to build advanced promotions and referral programs in days instead of months.

You can find the booking page code here (scheduler.html).

Recap

We planned to build a proof of concept for a new business application — Nostalgia.io. A prototype we can use to pick early users’ brains. Something we can deliver in a decent timeframe yet not a total throwaway.

Hopefully, we’ve convinced you that with developer-first tools like Contentful, Algolia, Timekit, or Voucherify you can achieve it. Even more importantly, you can do it without setting up any back-end layer at all.

It still requires some manual work to keep data in sync among tools. Yet, the flexibility and speed of iteration of these API-first tools at your fingertips definitely makes up for it.

Certainly, these tools aren’t all light and bright. For example, we bumped into these several issues when going through this article:

  • Contentful getEntry()method doesn’t resolve links. We had to use getEntries() instead to get a single expert entity with profile image URL
  • It took us more than a little while to understand how we can display results using column layout (the default is rows)
  • Timekit doesn’t allow for fetching the calendar instance config using an external id. That’s why we need to store calendar tokens in expert entity in Contentful
  • The Voucherify widget doesn’t enable you to try another valid code without refreshing the website

I’m sure there are many more of them. But you can work these little issues around in far less time than you’d spend to build these features from scratch. On top of that, you avoid the serious and time-consuming architectural mistakes the teams at these platforms have made before you.

The source code of the project can be found here. And the demo is live here!

Hardening and scaling

As you can see, some processes are still manual and thus tedious:

  • Adding new experts
  • Making experts searchable
  • Creating calendars for experts

In the next part, we’ll glue these services using Zapier. Zapier is a platform which facilitates connecting API-first platforms. This way, we’ll reduce the manual work necessary to run the aforementioned business flows. For example, experts will be able to sign up themselves. Additionally, the platform will create all the necessary entities programmatically.

Lastly, we will push the prototype to production. It will still be an early stage application but it’ll be more robust and ready to serve real customers. Stay tuned!

Update: you can find the second part is here.