Make

I have been working in my current field for the last three years and have been using Make  for two months.

I have used Make  for two projects. The first project is medical case analysis, where if a patient uploads any case details, we handle that and provide solutions in three fields of a hospital: allopathy, homeopathy, and Ayurveda. Ayurveda is in Indian medical sciences, and from these three options, the patient can decide which one to choose and what tests are included.

In this medical case analysis project, I took five case studies of five different patients and translated the manual data using API to shift it to Google AI Studio. I made it there and used Make's JSON response from the output.

In my second project, which is about the UPSC exam, I converted PDFs given in manual format into HTML. I used data manipulations along with Make's built-in data parsers and regular expressions modules to analyze each question and integrate the options by iterators, making the process sequential.

The best features Make offers, in my experience, include the infrastructure of hosting and error handling, which I have found reduces many errors during projects. Additionally, it allows for secure and reliable API integration with Google AI Studio and provides visual debugging for the mock test data.

During my projects, the visual debugging helped me connect to AI Studio. JSON represents large data, which is converted into a shorter image that I can explain easily to patients.

I have two to three drawbacks I would like to add.

There is a file size constraint, as when I try to upload a PDF question bank of 200 pages, it shows an error and the file cannot process the data. The second drawback is the complex native app modules, as every single API does not integrate properly. I have tested some other API integrations, and they have not worked as expected. The third issue is that if I encounter one error, it halts the execution, which causes a delay.

These drawbacks impact my workflow as I have to separate the PDF into two or three parts due to the file constraints. For native app API integration, I use standard APIs like Google AI Studio, and for error handling, checking manually works better if just one error occurs. Additionally, I notice Make is heavily dependent on regular expressions. For example, if a question is written as 1Q, it sees it as one question.

I feel I have covered most of the points regarding improvements needed. I choose a rating of eight out of ten because I feel the file constraint part and native modules for API integration should be improved while making the workflow process. I do not have any other improvements needed for Make apart from the file constraint issue, which must be looked into, and the visual clutter issues when uploading more than three to five patients at once.

Make is stable in my experience.

Make's scalability is good.

When I had a problem during the pricing payment, the customer support handled it very well. I also received good responses when posting in the community forum while doing the project.

Previously, I have tried to use Zapier , which was very simple and linear, but I switched to Make because it provides visual representations that I find beneficial.

I have seen a return on investment, particularly in my second project where I converted PDFs into HTML format, saving costs on paper for approximately ten thousand questions and reducing time by about fifty percent. For patient case studies, I was able to present options in allopathy, homeopathy, and Ayurveda clearly and more quickly.

I have used the free version of Make and I find the pricing reasonable, especially with discounts available.

Before choosing Make, I evaluated Zapier , but after a friend's recommendation to use Make, the workflow has been very smooth for me.

Make saves me roughly forty-five percent to sixty percent of time since the analysis part and solution are provided below the question.

My advice to others looking into using Make is that you can create a very smooth workflow compared to others, and the visual representation is excellent for presenting data or any complex problems, especially for complex systems such as the neural, respiratory, and reproductive systems. The built-in modules make it easy to convert PDFs without needing to search for other modules to integrate.

I'm using Make  for integration with GoHighLevel, which is a CRM  tool. I integrate data from Google Sheets or the GHL CRM  to automate repetitive tasks. I use Make  nearly every day for whatever task comes my way, including reconciliation of bills and transaction tracking in Google Sheets, as well as GoHighLevel work. When I receive leads from Meta, I integrate those as well.

I have created an Airbnb scraper that extracts all details from Airbnb, including reviews and pinned locations, which are not very easy to obtain. I used Claude to create Python code, integrated it through Make, and used Apify . Make sends the command and prompt to Apify , which runs the code and scrapes all the details from Airbnb, then updates them in Google Sheets. Once any row is updated, Make automatically sends all details to every user. For example, when my name is entered in the Google Sheet, Make takes the name, email ID, company, and everything based on the flow I have configured, and sends the email automatically to that person. We have a company called Rental Abode, which is similar to Airbnb and we are building it now. I target them by scraping all details from Airbnb and sending it to them using Make.

Creating scenarios and sending them is really straightforward. I was doing manual tasks in the sheet before, and now Make makes everything easy for me. I can write the interior logic, whatever loops or anything I want, and whatever I was doing manually, Make now does it automatically. I only need to write one code and create a scenario, and based on that, it executes everything. This scenario is essentially a webhook, allowing integration from one site to any other site, which is quite interesting.

The data storage feature is also excellent. Whenever I'm using data, I can store all of it in Make, and whenever I need it, I can access it. The templates that Make provides are good, with everything built-in. I can use the data structure smoothly, and the custom app feature is also one of the best, as it's a good option for anyone who wants to explore.

The outcome is far better than before. Every employee used to work manually, and I also used to do manual tasks. Now Make does everything automatically. Whenever any task comes up, I'm always thinking about how to automate it with Make, which is something positive.

Sometimes the platform is too laggy and loads slowly. The credits are also getting used up too quickly, which takes too much credit. If the credits could be reduced, that would be more efficient.

The lagging problem needs to be solved. Sometimes it lags a lot with long workflows, taking too much time or giving errors like not running.

I have been working in my current field for more than two to three years.

As of now, Make is stable for me.

Make has scalability. Whenever a new task comes to mind, I think about automating it with Make, which is good. However, I see many cheaper competitors emerging, so understanding their features could help.

I have not reached out to customer support because I haven't encountered any issues that I couldn't solve.

I was doing a manual approach completely before Make.

The setup was easy. I completed everything related to pricing, setup costs, and licensing within two or three hours.

I was supposed to hire a business analyst, but due to Make, I realized it has this much capacity. I can do multiple tasks as a founder, but I don't have time. So I created automations, saving me around 7 to 8 lakh INR.

Earlier I used to spend too much time understanding the insights from my projects. Now I only spend four to five hours, but I can get everything in one hour or even 30 seconds. It's easy. After one click, it's pulling data from my database, updating in ChatGPT, and then analyzing and updating in the document. I can understand within five minutes what exactly is going on in the business and its direction.

I looked into Zapier , but it was more costly, so I chose Make.

If you want to automate everything, Make is the only thing you can use to integrate and automate all the platforms, especially if you don't want to work manually.

I is primarily use Make  for automations in companies and businesses, specifically for report generation and similar tasks.

I recently built a workflow for a recruiting company called NSL that needed to conduct a test for candidates and generate a report. The entire process, including test preparation, result generation, and sending the 40-page report to the candidates, was fully automated.

Automating this process with Make  saved considerable time for NSL and my team because generating one report manually could take nearly one day for each candidate. Automation reduced that time to approximately 14 minutes per candidate, allowing the entire process to be completed within 15 minutes from start to finish.

My main use case for Make currently involves small automations, although I believe Make has introduced new features such as agent mode, which I haven't tested extensively but seem promising.

Make offers great features, including extensive tool connectivities and a simple user interface, which makes it excellent for beginners and enhances ease of use.

Regarding tool connectivities, I find the RSS feed straightforward and user-friendly, and the Airtable  node is similarly easy to use. Make has asset-type reactor nodes that automatically begin actions when data is entered, which is something that other apps typically require webhook integrations to achieve.

The user interface is straightforward and always presents data in schema format, enabling an easy drag-and-drop experience.

Make has positively impacted my organization by enabling me to generate numerous leads because it is easy to implement, which allowed me to drastically reduce the time needed to create and present a minimum viable product to clients.

To improve Make, I would suggest increasing the token limit, possibly allowing each run to cost only one token, which would be beneficial as no-code tools require significant testing. Additionally, implementing a pin feature for each result would facilitate reusing outputs easily.

I give Make a rating of seven because it is not open-sourced and there are many hidden charges, which can affect a beginner's workflow when trying it out. I recommend making testing free initially, then requiring a premium subscription for publishing. Additionally, there are not enough nodes for internal tasks such as adding Python code, which requires third-party tools.

I have been using Make for the past two years.

My advice for others looking into using Make is to start as a beginner, understand the concepts, explore relevant artificial intelligence for automations, and begin with templates, as there are many resources available within the community and on YouTube. I also believe the flow in Make could improve by allowing multiple nodes to be executed synchronously.

I believe Make can still improve to compete better with the open-source automation platform n8n . I rate Make a seven overall.

My main use case for Make  is mostly for marketing automation, including lead generation, lead integration, routing to sales agents, and for personal uses.

I had a client who wanted me to retrieve every post being posted on a specific subreddit so that he could use that conversation or specific post and comment on it organically. This gives him a chance to warm up the client and sell his CRM  product. I set up the automation by using the Reddit API to connect to Make  and used the Google Gemini flash AI agent to summarize the post and the replies.

One of our clients uses HubSpot as a CRM , so I connected WhatsApp automation and everything on Make. Whenever the lead status is changed on HubSpot, the automation triggers on Make, and a certain type of template that I have created on WhatsApp is automatically sent to the lead. An internal notification is also sent to the sales team.

The best features Make offers are unlimited workflows that can be created, and the pricing is quite affordable.

The unlimited workflows have helped me and my clients get more done because sometimes I need to create a temporary workflow for my personal use cases. With another version like Zapier , I would not be able to quickly add multiple workflows with complex routing. With Make, I could pause the active scenarios and resume my temporary one, which is beneficial.

I really appreciate the drag and drop interface. I am not good at coding, so if I had to create automation for my marketing purposes and CRM integration, I would have to code it manually using Python or JavaScript and rely on another developer or someone who knows code. With Make, it is much easier for me.

Make has positively impacted my organization by helping me save around 10 plus hours per month to automate reporting and social media posting.

Since I am not using Make extensively for other purposes, my use is fulfilled enough, and I do not see anything that needs improvement.

I have not faced any needed improvements or challenges while using Make. I chose a nine out of ten because sometimes my browser gets crashed while working on Make, and I do not know why. For this reason, I have to save every couple of minutes so I do not lose any progress.

I have been using Make for around seven to eight months.

Make is stable in my experience.

In terms of scalability, I think Make is capable of handling complex workflows. The workflows that I have created are pretty simple and not too difficult.

I have not contacted customer support yet for any issues because I am not a regular user.

I previously used N8n, which had a self-hosted version, so I could create as many workflows as I wanted. N8n is much better than Make, and I used N8n much more than Make, so I do not know all the features Make has.

My experience with pricing, setup cost, and licensing is that it is quite affordable for my use case. I could get the return on investment from the work that I have done using Make, so the setup is not difficult and is pretty simple for me.

I have seen a return on investment because I could avoid hiring a new team to do reporting and social media posting. Everything is done through Make.

With that extra time each month, I could focus more on sales and upscaling my business, so it is really worth it.

My experience with pricing, setup cost, and licensing is that it is quite affordable for my use case. I could get the return on investment from the work that I have done using Make, so the setup is not difficult and is pretty simple for me.

Before choosing Make, I evaluated other options including N8n due to the self-hosted version.

I would advise others looking into using Make to consider it if they want to get a starting point of automation for something pretty simple. I would rate Make a nine out of ten.

My main use case for Make  involves automating WhatsApp messages, website visits, and how to reply to them. I'm not using it very frequently, but it is a helpful tool.

I once automated a few things with Make . If a client is onboarding and that person has some questions, I had submitted a few things, and accordingly, it was giving them a reply, and it was finally  redirecting them towards my website.

I chose to automate that particular process ideally just to save my time because I was getting so many leads and needed to filter them out, determining which lead is a warm lead, which lead is a hot lead, or something similar.

I don't have anything else to add about my main use case or how it's helped me manage my leads. I think I have covered most of it. I will be using Make in the future, but as of now, I am using a lot of other tools as well.

The templates available on Make are really interesting, and they can really help a person who is starting a new company. But I think for my current situation, I can only leave this kind of review for now.

Make has helped me save time positively. The templates available on Make are really interesting and can genuinely help people who are starting new companies.

I cannot give you any particular metric, but overall, Make has helped me save my time.

Make has helped me save my time, and time is money, so obviously, eventually it has helped me save my money as well.

Make has helped me save time positively, but I think there is room for improvement in Make as well. I believe there were a lot of features related to Make that I was not able to use because of a lack of knowledge. If you could add some kind of tool or something which could help people who are laymen in terms of tech, that would be helpful.

As of now, I don't think I have a lot of things in my mind about how Make can be improved.

I have been using the solution since September 2025.

I did not previously use a different solution for automation. Make was my first automation tool, so this was my very first experience with any kind of automation.

I don't have any connections with this vendor other than being a customer. I just completed my course from Make, received my certifications, and used a few tools and templates.

Make has helped me save my time, and time is money, so obviously, eventually it has helped me save my money as well.

I don't think I paid anything for Make. I just completed the course and got my certifications after I had passed the test.

My advice to others looking into using Make is to use it and explore a few things. You will be able to learn a few things which you will be needing in the future. Make is a helpful tool. But I think you should do a bit of marketing because I don't know many people who know about Make in person.

I have not explored Make a lot, but it's decent.

I chose eight out of ten because I haven't used any tool which is related to automation. This was my first experience with an automation tool, and it was helpful for me. Obviously, I don't have any other tool in my mind which can help me automate a few things. There is always room for improvement for things, so that's why I'm giving an eight, not a perfect ten.

I'm not using Make very frequently as of now, but there was a time in the past few months when I was actually using it on a daily basis to automate some things.

When I was using Make regularly, it was deployed just through the make.com website.