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No fluffy content. If your goal is to build a $100m ARR business, this is not the right post. Here I am are NOT going to talk about building the next Facebook or Twitter. If your goal is to make a $1K to $10K MRR, continue reading.

This post will cover one micro opportunity and talk about multiple niches in this space. This post also explains how to do tech implementation, do market analysis, how the current players are doing, and ends with a cost analysis to understand the overall cost for 100 users.

This is Part 2 of ‘Building $1K - $10K MRR Micro SaaS products using AI’

Let’s see some of the products built on top of AI (Artificial Intelligence).

Perci: Create e-commerce descriptions and Amazon listings in seconds. Perci is powered by state-of-the-art AI that allows you to generate e-commerce descriptions in seconds. Currently at $300 MRR in less than a year.

Drafted: Write better job ads, hire better talent. Use AI-based assistant, built on top of the World's most advanced AI language model, to write job ads that attract ideal candidates, in just a few minutes. Currently at $100 MRR.

MagicSalesBot: Magic Sales Bot gives you intel on your prospects. The AI writes personalized sales emails based on their socials, industry news, and your target audience.

Geom: Generated 3D tours from uploaded floor plans using AI technology. Geom generated 3D tours for flats, apartments using AI.

Alpha-Sense: Make data-driven decisions with confidence. Leverages AI to make smarter business decisions. Received $33M in funding.

Sentiment: Converting unstructured data from social media into quantitative financial signals. Beat a fast-changing market through AI and Big Data. Got acquired in 2021 for full-cash purchase.

EnsoData: EnsoSleep, empowers clinicians with AI scoring and analysis. With the help of AI, clinicians are spending more time on helping patients and less time on analysis. Received $2M in funding.

MarkoPolo: AI-based customer data platform for customer insights. It provides a platform for automating digital advertisements across multiple channels like Facebook, Amazon, Google, etc. It provides artificial intelligence(AI) -based marketing assistant.

TacTiq: With Tactiq's real-time transcription of Google Meet and Zoom you'll never miss a word. Instant meeting notes in the tools you're already using. The estimated revenue is $270K per year.

MeetGeek: Maximize the value of your meetings| Automatically record, take notes and share highlights with your team. Received $175K in funding.

Avoma: Save time and get more done with the Meeting Lifecycle Assistant. Get transcript and AI notes to focus on conversations. The estimated revenue is $3M per year.

ContentBot: Write 10x faster. Use the world's most advanced AI to write for you. Blog content, landing pages, ad copy, and so much more. Crossed $6K MRR in less than a year.

Negative Nancy says - AI-based products can be built only with years of tuning the machine learning model with petabytes of data.

Me - That is correct. Without huge data, it is not possible to train an AI/ML model. But the good part is, the current cloud providers are already doing this with years of data they have. They have built the required models that can be used via simple API calls. For example, AWS Polly converts text to speech in various languages using an API call. AWS Rekognition extracts metadata from images just by API calls. In cases like this, you don’t need to do a lot of work around the model building. Once you have enough customers and deeper domain knowledge, you can fine-tune this with your models.

Negative Nancy says - There are already many products in the market built on AI. How can I build a new product that no one ever implemented using AI?

Me - It’s the other way round. By looking for a new idea that no one ever implemented, you are taking a higher risk as no one validated that idea yet. For first-time founders, it’s better to pick that something that is already working in the market and sees to fine tune that with more features, better support, good price point.

Deep-dive & Some niches

• Meeting notes automation using AI: With everyone going remote and a rapid increase in work-from-home opportunities, the number of Zoom/Webex/Online calls increased to a great extent. If you have not heard of Zoom fatigue, read it here. To make things easy for people taking a lot of calls on Zoom, Webex, etc, create a Micro SaaS tool that can solve this problem that can automatically take notes as the meeting progresses and then send consolidated notes after the meeting finishes. See TacTiq for inspiration. TacTiq estimated revenue is $270K per year. Also, see MeetGeek that received $175K in funding.

• Generate Tweets using AI: One of the biggest problems for people posting on Twitter is the ‘writers-block’. After posting a few tweets, it often becomes tough to ideate and posts new content. Create a new SAAS product based on GPT-3 API (AI-based solution) that reads your previous tweets and analytics data for the tweets and automatically generates tweets based on this data that gives a high level of Twitter engagement. Sometimes GPT-3 can go crazy, so always provide an option for users either to “Auto-approve” tweets or provide “manual-approval” for Tweets to post on behalf of users. Provide an add-on to generate the images also for Tweets. Usually, tweets with media attachments gather more attention. Based on the generated Tweet text, pull a gif from publicly available gifs or autogenerate media/images using Image APIs that take an image and text and outputs the image with text overlay. For example, BannerBear API can be used to autogenerate the images. GPT-3(Generative Pre-trained Transformer 3) is an AI-based autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series created by OpenAI, a San Francisco-based artificial intelligence research laboratory. See more at OpenAI and OpenAI blog. If that's a lot of jargon, don't panic. GPT-3 is purely API-based and if you know calling an API, you should be good to go. TweetHunter in this space crossed $20K MRR.

• Content writing with GPT-3 (AI-based tech): (Mentioned this earlier. This is getting extremely popular): Content writing is one of the costliest niches. Hiring a content writer takes a lot of time and money. Creating a saas tool around GPT-3 that can create long-form posts based on a small description would be a clear winner. The finally GPT-3 generated blog post might need a manual review but even then, it would still save a lot of time by creating ready-made content that can be reviewed and published. ContentBot in this space solving this problem crossed $6K MRR in less than a year.

• Remove unwanted noise/disturbance/ummm words from Podcasts using AI: Podcast space has grown significantly in the last few years and more podcasts are coming in every day. But anyone running podcasts knows that there is a big problem with editing and removing unwanted words like ‘ummm’ etc from the audio. Create a Micro SaaS tool that can help Podcasts with this. The tool should be able to read an uploaded transcript file and remove the unwanted noise from the audio. Add more integrations around this by providing various services like ‘creating high-quality auto transcript from the podcast audio’, ‘translating the transcript into multiple languages’, ‘creating audio in multiple languages, etc. You can use a lot of tools from AWS and GCP for this. See tools like AWS Polly, AWS Transcribe, AWS Translate, etc that can do this with a few API calls.

• Automated subtitles for videos: Create a Micro-SaaS product that can extract the text from video and translate this text into multiple languages and can create a new video with subtitles in a different language. Provide an option to end users to edit these translated texts before adding the subtitles to the video. This can be built using tools like AWS Transcribe or GCP Speech-to-Text and GCP Translation service or AWS Translate.

• Automate Job-related Ad descriptions using AI: Creating descriptions for various jobs across the organization is not an easy task. Most HRs, project managers, engagement managers spend hours writing job descriptions. Create a Micro SaaS product that can automate this process using AI. A good tool like this will be useful for HR teams and Managers. See Drafted in this space for inspiration. Drafted is at $100 MRR. As an add-on provides options to post the ads to various places right from the product’s dashboard.

• 🔒 👉  [Get access to 800+ additional ideas and more additional ideas in this niche and across all niches from Pro version with data points, revenue information].

Technical chops

Learn technical pointers on how to build products around this niche.

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Marketing chops

Learn Marketing pointers on how to start marketing the products for this niche. This should give you a marketing head start.

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Cost Analysis for 100 customers

Learn how much it costs to build a product in this niche and cater to 100 customers.

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