Issue#118: Building $1K-$10K MRR Micro SaaS Products around Search, Monitoring & Alerts
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Recent Micro SaaS News in 2 minutes
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Pika , a screenshot editor and image generation API by Rishi, crosses $3,800 MRR
Evgeni reached $1.7K MRR with SocLeads, an Email scraper tool from Google Maps, Facebook etc.
Tiiny.host , a tool to host and share web projects by Baretto, hits $20K MRR.
Juanjo reaches $6.3K revenue with WrapFast, a SwiftUI boilerplate to create AI wrappers
Ryu crosses $100 MRR with Copycake, API and NoCode tools to generate images on the fly.
Job Board Search , a directory of job boards by Rodrigo passed $40K in revenue.
TalkNotes, an AI-powered audio note taking app by Nicro, crosses $68K in revenue.
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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 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 SaaS area 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.
Let’s see some of the players around Search, Monitoring & Alerts.
⛳ ⛳ Current Players
Hyperping: A monitoring tool for websites and APIs that sends instant notifications on an outage. Crossed €11K MRR.
Tavily: Tavily Search API is a search engine optimized for LLMs and RAG, aimed at efficient, quick and persistent search results.
Devi: an AI-powered social media leads monitoring and outreach tool that allows users to efficiently find potential leads and engage with them across various social media platforms. Reached $12K revenue in 2023.
Stock Alarm: Provides real-time alerts for 65k+ assets, cryptocurrencies, economic signals (CPI, recession probability, etc.), and more. Reached $20K MRR.
Colibri: Stores call recordings, transcripts, and meeting summaries in a searchable call library, so users can quickly find, review and share conversations.
Findr: anAI-powered assistant that can answer any work-related question by searching all the workplace apps at once. Findr was ranked Weekly #1/Product of the Week on Product Hunt in Jan. 2024
Tapesearch: a search engine to quickly search podcast transcripts generated by AI. 2,300+ users.
Awario: Tracks the conversations about your business across social media, news, blogs, videos, forums, and reviews. Estimated annual revenue is currently $2M.
NewsData: News API to search, collect, and track worldwide news. Used by hundreds of users.
AccuRanker: Rank Tracker Tool for Enterprises and SEO Agencies. Estimated annual revenue is $1.4M.
Mangools: A suite of SEO tools that cover keyword research, SERP analysis, rank tracking, backlink analysis etc. in a user-friendly interface. More than 1,100,000 users.
Podscan: A podcast monitoring platform that notifies users immediately whenever a brand or marketing keyword is mentioned inside the spoken content. Reached $1000 MRR with 30 paying customers within a 2 months of launching.
AdBadger: Amazon PPC optimization tool to manage, automate, and monitor Amazon campaigns. Reached $1.9M in annual revenue.
YouScan: an AI-powered social media listening platform with image recognition capabilities. Reached $3.9M in annual revenue.
SEO Gets: an analytics tool that consolidates performance data for multiple websites in a user-friendly dashboard to provide enhanced SEO insights. It upgrades the analytics performance feature in GSC, removing many of its limitations. Trusted by top SEOs.
FireFlies: Automatically records and transcribes meetings and finds key topics with AI-Powered Search. Reached $5.8M/year revenue
ASATools: Helps users optimize Apple Search Ads.
Klu: AI-powered search engine and chat tool that allows users to seamlessly access and interact with their data across various work apps, such as Gmail, Slack, Notion, Google Drive, and more, through a single unified search and chat interface. Klu raised $125K in funding.
ReplyGuy: an AI-powered tool that automatically inserts natural product mentions into relevant online conversations on Reddit and Twitter. Crossed $5k MRR
Brand24: Provides AI-powered access to mentions across social media, news, blogs, videos, forums, podcasts, reviews, and more. Reached $8.6 Million in annual revenue.
SERPStat: an all-in-one SEO platform that offers keyword research, competitor analysis, site audit, backlink analysis, and other SEO tools to help businesses improve their search engine rankings. Reached $2.5M in annual revenue.
World News API: Provides access to thousands of news sources in over 50 languages from over 150 countries. News are semantically tagged allowing for semantic news search
Storyclash: an AI-powered influencer marketing platform that helps businesses find authentic creators, analyze successful influencer brands, plan and track influencer campaigns. Estimated annual revenue is currently $2.3M.
SERPWoo: Deep SERP tracker analysis & reporting tool that bridges traditional rank tracking software with deep data analysis from social signals and 3rd party data sources. 19,000+ active users.
🙅♀️🙅 Pessimists
Negative Nancy says - “Google Search Console is pretty decent. Any wrappers on Google Search Console doesn’t make any sense”
Me - Certainly, managing Google Search Console for 1-2 sites with a limited number of pages is straightforward. However, as the number of sites and pages/sitemaps increases significantly, navigating and interpreting the data becomes more complex. In such scenarios, advanced tools becomes essential to analyze and interpret the information provided by Google Search Console. That is where products like SEOGets comes into picture and makes things easier for founders.
Negative Nancy says - “To find my SERP ranking, I can just type in my search keyword on Google and look through the results to find my website”
Me - Not a scalable approach if you want to do it every day with thousands of keywords. Also, SERP rankings are based on location. Your search results vary based on the search location. By manually search, you can only find the results from your location and you wouldn’t know how your site is performing for the same keywords in other countries. Automated SERP tracking tools do this at scale for thousands of keywords and hundreds of locations.
🤿🤿 Deep-dive &&💡💡Some niches
Micro SaaS for AI-powered Search Across Apps
Searching across apps and entire documents on a laptop can be a daunting task due to the vast amount of data stored across different applications and file formats. Manually searching through emails, documents, and spreadsheets to find specific information is time-consuming and inefficient. Also each app often has its own search functionality, making it challenging to perform unified searches across multiple platforms. Micro SaaS solutions powered by AI helps by integrating with various apps and employing advanced search algorithms to quickly locate relevant information across all documents and applications. By automating the search process and providing comprehensive results, these tools simplify information retrieval, boost productivity, and enhance user experience. Technically, these will be done via Vector Embedding and Retrieval-Augmented Generation (RAG) but the solutions need to make sure the Embeddings doesn’t go out of the laptop because of security issues. Klu is one such app helps with search across multiple products. By connecting apps like Notion, Slack, Google Drive, etc., Klu unlocks the ability to search and ask questions within these platforms. Klu raised $125K in funding. Findr also built in similar lines was ranked Weekly #1/Product of the Week on Product Hunt in Jan 2024.
Micro SaaS for Podcast Monitoring and Alerts
Monitoring and receiving alerts for podcasts isn’t easy as the search is not based directly on text. The podcast (audio content) need to be transcribed into text before running any searches and monitoring. With thousands of podcasting existing and each podcast publishing hundreds of episodes, the audio data that needs to be processed is huge. Manually tracking podcasts relevant to a brand or industry can be time-consuming and inefficient, especially with the sheer volume of content available. Staying up-to-date with new episodes and identifying key insights or mentions within each episode can be overwhelming. Traditional methods of monitoring, such as manual transcription or keyword searches, lack accuracy and may miss important information. SaaS solutions powered by AI offer a more efficient and accurate approach. These solutions can automatically transcribe podcast episodes, analyze content for relevant keywords or topics, and provide real-time alerts for mentions of specific brands, products, or topics. Organizations can automate podcast monitoring processes and stay informed about industry trends and competitor activity without the need for manual intervention. Podscan started doing this at scale and reached $1000 MRR with 30 paying customers within a 2 months of launching. Tapesearch is another example in this space with 2,300+ users. Brand24 is another SaaS solution that supports podcasts monitoring.
Micro SaaS for AI-Powered Social Listening and Context-Aware Replies
Giving casual replies on social media is one thing and giving a context-aware reply is a different thing. Most of the AI tools that help with social media replies are generic tools and sometimes the comments/relies generated by these tools looks spammy. Social listening involves monitoring and analyzing online conversations, mentions, and sentiments related to a brand, product, or topic across various social media platforms. Context-aware replies, on the other hand, refer to responding to social media interactions with personalized and relevant messages meant to the specific context of the conversation. Micro SaaS products can be built around this by niching down to a specific platform as well. For example, ReplyGuy is an AI product that plugs your product on Reddit and Twitter naturally when someone talks about related context. ReplyGuy crossed $5K MRR by building around Reddit and Twitter. In a simialr fashion, Devi helps with AI lead generation and monitors keywords to find leads & outreach using AI. Devi reached $12K revenue in 2023-24 and built around Facebook Groups, LinkedIn monitoring mainly. Similarly YouScan niched down toward AI-powered analysis of text, images and audience data from social media. YouScan scans the images and videos as well to get more context and reached $3.9M in annual revenue.
Micro SaaS for Tiktok/Instagram Monitoring
As video content continues to proliferate on platforms like TikTok and Instagram, brand monitoring has become increasingly complex for organizations. With the rise of influencer marketing, brands often experience surges in traffic when mentioned by popular influencers, but identifying the specific videos or influencers responsible can be tedious and may not be always possible. Traditional keyword monitoring tools struggle to keep pace with the dynamic nature of video content, leading to missed opportunities and ineffective brand management strategies. As a result, organizations are looking for more advanced solutions that leverage AI and machine learning to accurately track brand mentions across diverse video platforms and identify the most impactful influencers for their marketing efforts. Storyclash with an estimated annual revenue of $2.3M (across all products) is a good example. Brand24 is also a good example in this niche that crossed $8 million in annual revenue. Awario is also a popular product with estimated annual revenue is currently $2M. Most of the SaaS solutions charge $300/m and more for the businesses.
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