Mohit R

In the tech world, a question that keeps surfacing is whether AI agents will replace traditional software, particularly in the Software-as-a-Service (SaaS) space. With the rapid rise of AI-powered automation, some believe that agentic AI, systems that can independently perform and coordinate tasks across applications could disrupt the SaaS industry as we know it. This concern is especially relevant for MicroSaaS businesses, which thrive on offering niche, lightweight solutions to well-defined problems.


 <img src="/images/posts/ai_agents.jpg" alt="Problems Triad" width="400" />


In the tech world, a question that keeps surfacing is whether AI agents will replace traditional software, particularly in the Software-as-a-Service (SaaS) space. With the rapid rise of AI-powered automation, some believe that agentic AI, systems that can independently perform and coordinate tasks across applications could disrupt the SaaS industry as we know it. This concern is especially relevant for MicroSaaS businesses, which thrive on offering niche, lightweight solutions to well-defined problems.

As I’ve followed these discussions, I’ve been thinking about past technological disruptions and what they teach us about this moment.

One thing history consistently shows is that technological evolution is rarely a zero-sum game. New innovations don’t always replace the old, they often integrate, transform, and coexist. Consider cloud computing. It was once predicted to fully eliminate on-premises infrastructure, yet today, hybrid cloud models dominate. Similarly, when mobile devices took off, many assumed the personal computer would become obsolete. Instead, PCs remain indispensable for productivity, coexisting alongside smartphones and tablets.

AI agents are the latest wave in this ongoing evolution. While they introduce new capabilities, they don’t necessarily render existing software models irrelevant. Instead, they reshape them, offering MicroSaaS founders an opportunity to build smarter, more adaptive products. The real question isn’t whether AI will kill MicroSaaS, it’s how MicroSaaS will evolve to leverage AI.

---------------------------------------

#### What are AI Agents

AI agents are autonomous software programs capable of performing tasks, making decisions, and adapting based on real-time data and predefined goals. Unlike traditional software that operates on fixed rules, AI agents can learn from interactions and dynamically adjust their behavior. For instance, an AI assistant that manages appointments, summarizes communications, or analyzes reports exemplifies the capabilities of AI agents.​

**How AI Agents Differ from Traditional Software**

Traditional software operates based on explicit programming and follows a fixed set of instructions. In contrast, AI agents are designed to:​

- **Learn and Adapt**: They improve their performance over time by learning from data and experiences.​

- **Make Autonomous Decisions**: They can choose actions without human intervention to achieve predefined goals.

- **Interact Naturally**: Many AI agents understand and process natural language, enabling intuitive interactions with users.

#### Market Growth and Adoption

The AI agents market has experienced significant growth in recent years. In 2024, the global AI agents market size was estimated at USD 5.40 billion and is projected to grow at a compound annual growth rate (CAGR) of 45.8% from 2025 to 2030. This surge is driven by increased demand for automation, advancements in natural language processing (NLP), and the rising need for personalized customer experiences.​([Grand View Research](https://www.grandviewresearch.com/industry-analysis/ai-agents-market-report))

Organizations across various sectors are increasingly integrating AI agents into their operations. A report by Capgemini indicates that 82% of organizations plan to integrate AI agents by 2026 for tasks such as email generation, coding, and data analysis. Similarly, Deloitte forecasts that 25% of enterprises using generative AI will deploy AI agents by 2025, with this figure expected to grow to 50% by 2027. (​[Analytics Vidhya](https://www.analyticsvidhya.com/blog/2024/12/ai-agent-trends))

**Popular Use Cases and Industry Adoption**

AI agents are being employed across various industries to enhance efficiency and customer engagement:​

- **Healthcare**: AI agents are utilized in telemedicine, patient management, and diagnostics, streamlining healthcare operations by handling patient queries, assisting in appointment scheduling, and offering health guidance. ​([Grand View Research](https://www.grandviewresearch.com/industry-analysis/ai-agents-market-report))

- **Retail**: Retailers leveraging AI agents report significant revenue growth due to personalized shopping experiences. ​([All About AI](https://www.allaboutai.com/ai-agents/statistics/))

- **Finance**: Financial institutions report a 38% increase in profitability by 2035, thanks to AI agents. ​([All About AI](https://www.allaboutai.com/ai-agents/statistics/))

- **Manufacturing**: Predictive maintenance by AI agents reduces downtime by 40%, resulting in substantial savings on repair costs. ​([All About AI](https://www.allaboutai.com/ai-agents/statistics/))

- **Human Resources**: AI agents automate 75% of resume screening tasks, streamlining hiring processes. ​([All About AI](https://www.allaboutai.com/ai-agents/statistics/))

**Predictions and Future Trends**

The trajectory for AI agents points toward deeper integration and more sophisticated capabilities. Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, and 33% of enterprise software applications will include agentic AI. Additionally, the global AI agents predictive maintenance market is projected to grow from $5.1 billion in 2024 to $47.1 billion by 2030, with a CAGR of 44.8%. ​([Analytics Vidhya](https://www.analyticsvidhya.com/blog/2024/12/ai-agent-trends), [All About AI](https://www.allaboutai.com/ai-agents/statistics/))

These developments underscore the transformative potential of AI agents across various sectors, highlighting the importance for businesses, including MicroSaaS providers, to adapt and integrate these technologies to remain competitive.

---------------------------------------

#### The Perceived Threat to MicroSaaS

Concerns about AI agents potentially undermining MicroSaaS businesses stem from several factors:​

- **Reduction of User Interfaces**: AI agents, by interacting through natural language and utilizing APIs, might diminish the need for traditional user interfaces, which are central to many MicroSaaS products.​ For instance, an AI agent could pull social media analytics without needing a dedicated dashboard.

- **Integration Capabilities**: The ability of AI agents to seamlessly connect various platforms could challenge MicroSaaS tools designed to serve as integrative solutions.​ For example a tool that syncs e-commerce sales with accounting software may face competition from an AI that does this autonomously.

- **Overarching Functionality**: AI agents could act as a unifying layer across multiple SaaS tools, potentially overshadowing specialized MicroSaaS applications.​

#### Reality Check: Complementary Roles of AI Agents and MicroSaaS

Despite these concerns, several factors indicate that AI agents will complement rather than replace MicroSaaS businesses:​

- **Human-Centric Software**: Even with advanced AI, there remains a need for software that interfaces with, manages, and reports on human activities. SaaS products excel in providing these tailored solutions.​

- **Data Management**: SaaS products often serve as the central repository for specific data sets, maintaining the "database of record" essential for business operations.​

- **Preference for Packaged Solutions**: While AI agents offer customization, many users and businesses prefer ready-made solutions that address their needs without extensive configuration.​

- **Predictability and Reliability**: Businesses value predictable and reliable solutions. SaaS products offer structured processes that AI agents alone may not guarantee. For example an email marketing MicroSaaS ensures scheduled, pre-tested campaigns, while AI-generated content may vary in quality.

#### Strategic Integration of AI Agents in MicroSaaS

To harness the benefits of AI agents, MicroSaaS businesses can:​

- **Embed AI Agents**: Develop internal AI agents and provide interfaces for external agents to interact with, enhancing the value proposition of the MicroSaaS product.​ For example a project management MicroSaaS could use AI to auto-assign tasks based on workload.

- **Leverage Domain Expertise**: MicroSaaS solutions often address complex, industry-specific challenges with built-in security and data governance areas where AI agents may lack depth.​ For example a legal software solution can integrate AI case analysis while ensuring compliance and confidentiality.

- **Maintain Structured Processes**: While AI agents can introduce flexibility, the structured workflows and reliability offered by MicroSaaS products remain indispensable.​
---------------------------------------

#### Embracing the AI Evolution

The integration of AI agents represents an evolution in the SaaS landscape, not an extinction event for MicroSaaS. By proactively incorporating AI capabilities, MicroSaaS businesses can enhance their offerings, improve efficiency, and open new avenues for growth. Ignoring the advancements in AI could pose risks, but embracing them positions MicroSaaS companies to thrive in an AI-augmented future.​

How AI Agents Won’t Replace But Reshape It

AI Agents Will Not Kill Your MicroSaaS

Micro SaaS is booming in 2025, offering solo founders a unique opportunity to build lean, high-impact software solutions with minimal overhead. As AI and automation continue to reshape industries, there's a growing demand for niche-focused tools that solve specific problems efficiently.

In this blog, we'll explore **10 promising Micro SaaS ideas**, each addressing real-world challenges, supported by market data, and backed by successful case studies. Whether you're a budding entrepreneur or a seasoned developer, these ideas can help you build profitable and scalable ventures in the evolving digital landscape. Let's dive in!


 <img src="/images/posts/micro_saas_ideas.jpg" alt="Problems Triad" width="600" />

Credits: Photo by [Mark Fletcher-Brown](https://unsplash.com/@markfb) on [Unsplash](https://unsplash.com/photos/black-pencil-on-white-printerpaper-nN5L5GXKFz8)

* * * * *

#### Idea #1: AI-Driven Workflow Automation for Niche Industries

- **Problem Addressed**: Many niche industries still rely on manual processes, leading to inefficiencies and increased operational costs.

- **Proposed Solution**: Develop an AI-powered SaaS platform tailored to automate specific workflows within a niche industry, reducing manual effort and increasing productivity.

- **Market Data:** The global AI market is projected to grow from $214.63 billion in 2024 to $1,339.1 billion by 2030, indicating a significant opportunity for AI-driven solutions, according to [Statista](https://www.statista.com/statistics/607716/worldwide-artificial-intelligence-market-size/).

- **Target Audience**: Small to medium-sized enterprises (SMEs) operating in specialized sectors such as legal services, healthcare administration, or artisanal manufacturing.

- **Example**: [Clio](https://www.clio.com/resources/ai-for-lawyers/), a legal practice management software, secured $900 million in funding, highlighting the demand for industry-specific SaaS solutions.

* * * * *

#### Idea #2: AI Agents for Customer Support in E-commerce

- **Problem Addressed**: E-commerce businesses face challenges in providing timely and personalized customer support, leading to decreased customer satisfaction.

- **Proposed Solution**: Create an AI agent service that integrates with e-commerce platforms to handle customer inquiries, provide product recommendations, and assist with order tracking.

- **Market Data:** The AI agents market is projected to grow from $5.1 billion in 2024 to $47.1 billion by 2030, reflecting the increasing adoption of AI in customer interactions, according to [Markets and Markets](https://www.marketsandmarkets.com/Market-Reports/ai-agents-market-15761548.html).

- **Target Audience**: Online retailers and e-commerce platforms seeking to enhance customer engagement and support.

- **Example**: [Agentforce](https://www.salesforce.com/in/agentforce/) by Salesforce is an example of AI agents being utilized to improve customer service interactions.

* * * * *

#### Idea #3: AI Copilot for Content Creation

- **Problem Addressed**: Content creators often struggle with writer's block and time constraints, hindering consistent content production.

- **Proposed Solution**: Develop an AI-powered writing assistant that aids in generating content ideas, drafting articles, and optimizing text for SEO.

- **Market Data:** **Market Data:** The Global Generative AI in Content Creation Market size is expected to be worth around USD 175.3 Billion By 2033, from USD 11.6 Billion in 2023, growing at a CAGR of 31.2% during the forecast period from 2024 to 2033, according to [market.us](https://market.us/report/generative-ai-in-content-creation-market/).

- **Target Audience**: Bloggers, freelance writers, and marketing professionals seeking to enhance their content creation process.

- **Example**: Tools like [Jasper AI](https://www.jasper.ai/) have gained popularity by assisting writers in generating high-quality content efficiently.

* * * * *

#### Idea #4: Unified Ticketing System for Managed Service Providers (MSPs)

- **Problem Addressed**: MSPs often manage multiple ticketing systems across various clients, leading to inefficiencies and potential errors.

- **Proposed Solution**: Create a SaaS platform that integrates various ticketing systems into a unified interface, offering standardized processes and reducing manual handling.

- **Market Data:** The global help desk and ticketing software market is expected to grow from $3.64 billion in 2023 to $7.51 billion by 2031, according to [The Insight Partners](https://www.theinsightpartners.com/reports/help-desk-and-ticketing-software-market).

- **Target Audience**: Managed Service Providers looking to optimize their service delivery and reduce operational complexities.

- **Example**: [SyncroMSP](https://syncromsp.com/) offers combined RMM and PSA tools, showcasing the demand for integrated solutions in the MSP sector.

* * * * *

#### Idea #5: Media Asset Management for Solo Content Creators

- **Problem Addressed**: Individual content creators struggle with organizing and managing vast libraries of media assets, leading to wasted time and resources.

- **Proposed Solution**: Develop a user-friendly, affordable media asset management tool that allows creators to organize, tag, and retrieve media files effortlessly.

- **Market Data:** The creator economy is booming, with more individuals producing content across various platforms, necessitating efficient asset management tools. The global creator economy is valued at over $191 billion, and by 2030, it is expected to surpass $525 billion, according to [Exploding Topics](https://explodingtopics.com/blog/creator-economy-market-size).

- **Target Audience**: Solo content creators, including YouTubers, podcasters, and freelance designers.

- **Example**: Tools like [Frame.io](https://frame.io/) have been successful in providing media collaboration solutions, indicating a market for media management tools.

* * * * *

#### Idea #6: AI-Enhanced Analysis for Mental Health Professionals

- **Problem Addressed**: Psychologists and therapists spend considerable time reviewing patient notes to track progress, which can be time-consuming.

- **Proposed Solution**: Create a SaaS application that uses AI to analyze patient notes, highlighting trends and providing insights into patient progress over time.

- **Market Data:** According to [Markets and Markets report](https://www.marketsandmarkets.com/Market-Reports/mental-health-software-market-45953340.html)The global mental health software market is expected to reach $5.2 billion by 2026, reflecting the increasing adoption of digital tools in mental health practices.

- **Target Audience**: Individual mental health practitioners and small clinics aiming to enhance patient care through data-driven insights.

- **Example**: [TheraNest](https://theranest.com/) offers practice management software for mental health professionals, demonstrating the demand for specialized digital tools in this field.

* * * * *

#### Idea #7: Email Newsletter Summarization Tool

- **Problem Addressed**: Professionals often subscribe to multiple newsletters, leading to information overload and difficulty in extracting key insights.

- **Proposed Solution**: Develop a tool that summarizes email newsletters, extracting key points and presenting them in a concise format, possibly as a browser extension.

- **Market Data:** The email management software market is currently valued at around $7.3 billion in 2023 and is projected to reach $12.4 billion by 2030 according to [verifiedmarketreports](https://www.verifiedmarketreports.com/product/email-management-software-market/).

- **Target Audience**: Busy professionals and academics who subscribe to multiple newsletters and seek efficient ways to stay informed.

- **Example**: Tools like [TLDR This](https://www.tldrthis.com/) provide AI-powered text summarization, showcasing demand for content condensation solutions.

* * * * *

#### Idea #8: AI-Powered ChatGPT Extensions for Specific Use Cases

- **Problem Addressed**: While ChatGPT provides general AI capabilities, users require domain-specific enhancements tailored to their needs, such as organized knowledge management and personalized workflows.

- **Proposed Solution**: Develop a browser extension or web-based tool that enhances ChatGPT's capabilities, such as structured project-based conversations, an AI persona library, or collaborative features.

- **Market Data:** The AI chatbot market is projected to reach $24.6 billion by 2028, driven by increasing demand for automation and AI-based assistance, according to [Markets and Markets](https://www.marketsandmarkets.com/Market-Reports/ai-chatbot-market-72302363.html).

- **Target Audience**: Freelancers, students, and professionals looking for personalized AI assistants to streamline their work processes.

- **Example**: [TypingMind](https://www.typingmind.com/), an AI chatbot interface that allows users to integrate their own API keys, showcases the potential for customizable AI solutions.

* * * * *

#### Idea #9: Notion-Based SaaS Tools for Workflow Automation

- **Problem Addressed**: Businesses and teams heavily using Notion for project management often lack seamless integrations with their existing tools and workflows.

- **Proposed Solution**: Build a workflow automation hub that integrates Notion with various business tools (e.g., Slack, Google Sheets, Trello) to streamline task management and data sharing.

- **Market Data:** As of 2024, Notion has surpassed 100 million users globally, a significant jump from earlier numbers, according to [simple.ink](https://www.simple.ink/blog/notion-stats). This milestone highlights its widespread adoption and appeal across personal and professional use cases​.

- **Target Audience**: Small businesses, remote teams, and productivity enthusiasts who use Notion as their central workspace.

- **Example**: [notion-marketplace.com](http://notion-marketplace.com/) demonstrate strong demand for such integrations.

* * * * *

#### Idea #10: AI-Driven Reddit Growth and Engagement Tools

- **Problem Addressed**: Reddit is increasingly being used for organic marketing and SEO, but businesses struggle with consistent content generation and engagement strategies.

- **Proposed Solution**: Create an AI-driven tool that helps businesses identify trending topics, generate engaging posts, and automate interaction with targeted subreddits.

- **Market Data:** With over 430 million monthly active users, Reddit is becoming a key platform for niche audience targeting and community engagement.

- **Target Audience**: Small businesses, digital marketers, and content creators looking to leverage Reddit for organic growth.

- **Example**: [ReplyGuy](https://replyguy.com/), an AI tool that suggests post ideas and automates engagement, highlights the market need for such solutions.

* * * * *

Micro SaaS presents an exciting opportunity for solo founders to build niche-focused, high-value solutions with relatively low initial investment. As AI continues to revolutionize various industries, leveraging these trends can help solo entrepreneurs capture emerging market opportunities while addressing real-world pain points effectively.

10 High-Impact Micro SaaS Ideas for 2025

A micro SaaS is a small-scale SaaS business focused on a very niche audience, offering a single, highly effective feature. It's easy to build, especially for engineers, and can quickly gain traction. These small but powerful products can grow into larger SaaS companies over time, making them an appealing option for developers and entrepreneurs looking to start small and scale gradually.

### Micro SaaS vs. Traditional SaaS

#### Micro SaaS

**Niche Audience**: Micro SaaS businesses target a highly specific customer profile, which allows for a more focused and efficient marketing approach. For instance, the audience might be engineers at B2B SaaS companies or real estate agents in Texas. This narrow focus helps in tailoring the product to meet the precise needs of the audience, resulting in higher satisfaction and retention rates.

**Single Feature**: A defining characteristic of micro SaaS is its emphasis on a single feature that significantly outperforms existing solutions. This laser-focused approach makes micro SaaS products easier to create and maintain. Developers can concentrate on refining one aspect of the product to perfection, ensuring it delivers exceptional value to users. A micro saas is often a tool not a platform which solves a very specific problem as a software tool, not trying to be a comprehensive platform.

**Critical Problem**: Micro SaaS solutions address urgent and important problems for their target audience. By solving a critical issue, these products can quickly become indispensable to users, driving strong engagement and loyalty. This focus on solving a vital problem means that users are more likely to pay for the service, ensuring a steady revenue stream.

**Funding**: Typically, micro SaaS businesses are bootstrapped or self-funded, which means they do not rely on outside investments. This approach keeps development and marketing costs low, allowing founders to retain complete control over their business. The lean nature of micro SaaS operations often translates into higher profitability and sustainability in the long run.

**Daily Use Case**: For a micro SaaS product to succeed, it needs to address a problem or need that occurs daily in the life of its target customers. This ensures consistent engagement with the product, which is crucial for maintaining customer loyalty and reducing churn. For example, a tool that automates daily tasks, like managing social media posts or tracking personal finances, becomes an indispensable part of the user's routine. The daily use case not only keeps the product relevant but also reinforces its value, making it more likely that customers will continue using—and paying for—the service over time.

**Product-Led**: In a product-led growth model, the micro SaaS product itself is the primary driver of customer acquisition and retention, without relying on a traditional sales process. This means customers can easily discover, try, and purchase the product directly, often through a self-service model. Features like free trials, freemium tiers, or easy onboarding processes are crucial because they allow potential users to experience the product’s value firsthand before committing financially. The product’s ability to deliver immediate value and a seamless user experience is key to its growth, reducing the need for extensive sales teams or marketing efforts.
 

#### Traditional SaaS

**Broader Audience**: Traditional SaaS businesses aim to solve problems for a much larger group of people. This broader focus can lead to higher revenue potential, but it also requires more extensive market research and a larger investment in marketing and sales efforts to reach and convert a diverse audience.

**Multiple Features**: Traditional SaaS products often serve as comprehensive platforms that address an entire workflow or a wide range of needs. This multi-feature approach can attract a larger user base, but it also means that development and maintenance are more complex and resource-intensive.

**Significant Transformation**: Traditional SaaS aims to bring substantial, often transformative changes to a company. These products are designed to overhaul existing processes, improve efficiency, and drive significant business outcomes. As a result, they can command higher prices but also require more substantial investment from the customer.

**Funding**: Traditional SaaS businesses typically require significant funding to cover the costs of product development, marketing, sales, and customer support. This funding often comes from venture capital or other external investors. While this can accelerate growth, it also means that founders may have to give up a significant portion of control over their business.

In essence, a micro SaaS company creates one product that addresses one specific need for a niche market. This focused approach allows for rapid development and iteration, ensuring that the product remains closely aligned with the needs of its users.
 

#### Benefits of Micro SaaS

**Recurring Revenue**: One of the most attractive aspects of a micro SaaS business is the recurring revenue model. With a subscription-based service, you start each month with existing subscribers, providing a predictable and steady income. Over time, as you add more subscribers, your revenue compounds, creating a reliable and growing income stream.

**Financial Security**: The predictability of subscription revenue provides financial security, allowing founders to plan and invest in their business with confidence. Unlike one-time sales, recurring subscriptions ensure that there is a consistent flow of income, which can be particularly reassuring in the early stages of a business.

**Minimal Startup Costs**: Micro SaaS businesses generally have low initial investment requirements. There is no need for inventory, physical office space, or large teams. Many micro SaaS products can be developed and launched by a single person or a small team, reducing overhead and allowing for a lean startup approach.

**Direct User Connection**: Engaging directly with users is a significant advantage of micro SaaS. This direct connection allows founders to gather feedback, understand user needs, and quickly implement requested features or improvements. This close relationship with users not only enhances the product but also builds a loyal customer base.

**Build Once, Sell to Many**: A major benefit of software products is that they can be developed once and sold to many users. This scalability allows for significant growth potential without a corresponding increase in costs. As the user base grows, the cost per user decreases, enhancing profitability.

**Time Freedom**: Micro SaaS businesses offer flexible working hours, allowing founders to set their own schedules. This flexibility is ideal for those who prefer to work on their terms and balance work with other commitments.

**Location Freedom**: With a micro SaaS business, you can work from anywhere with an internet connection. This location independence provides the freedom to travel or work from home, without being tied to a specific place.

**Technical Freedom**: As the founder of a micro SaaS, you have the freedom to choose your tech stack. This autonomy allows you to work with the tools and technologies that you are most comfortable with, enhancing productivity and job satisfaction.

**Financial Freedom**: The potential for substantial income and the possibility of a successful exit can provide significant financial freedom. A well-executed micro SaaS can generate a steady stream of revenue, offering the possibility of long-term financial independence.
 

#### Drawbacks of Micro SaaS

**Platform Dependency**: Many micro SaaS products rely on the success of other platforms, such as Shopify or Slack. This dependency can be a double-edged sword; while it provides a built-in user base, it also means that changes or failures in the platform can significantly impact your business.

**Responsibility**: As the founder of a micro SaaS, you must handle all challenges and issues that arise. This responsibility can be overwhelming, especially as the business grows and the demands on your time and resources increase.

**Customer Support**: Providing ongoing customer support is essential for maintaining user satisfaction and retention. While this can be manageable with a proper setup, it does require time and effort, which can be challenging for solo founders or small teams.

**Copycats**: Successful micro SaaS ideas can attract competitors who may replicate your product. To stay ahead, continuous improvement and user engagement are necessary. This competitive pressure requires constant innovation and vigilance to maintain your market position.

In conclusion, micro SaaS offers a compelling business model for those looking to build a focused, scalable, and potentially highly profitable software product. While there are challenges, the benefits of recurring revenue, financial security, and personal freedom make it an attractive option for many entrepreneurs.
 

#### Examples of Micro SaaS

**Web Apps**

- **Hype Jury**: Scheduling tool for Twitter.
- **Upvote**: User feedback and product roadmap tool.
- **Browserless**: Web service for browser automation.

**Browser Extensions**

- **YTNotes**: Chrome extension to effortlessly turn Youtube tutorial videos into notes.
- **Merch Wizard & KDP Wizard**: Tools for Amazon sellers.
- **Closet Tools**: Chrome extension for automating tasks on Poshmark, developed by Jordan O'Connor, generating $35,000/month.

**Platform Plugins**

- **Super Lemon**: Shopify plugin for real-time WhatsApp chat, earning $25,000/month.
- **Other Examples**: Slack plugins, WordPress plugins.

**Desktop Apps**

- **DeskTime**: Time tracking app.
- **TextExpander**: Text expansion tool with extensive features.
 


#### References
1. [Profitable Niche SaaS Products of 2023](https://www.youtube.com/watch?v=Ym-yuMhyEpw)
2. [What is Micro SaaS?](https://www.youtube.com/watch?v=zv25DglJdG0&t=569s)
3. [Micro SaaS: What It Is and How to Build One](https://hackernoon.com/micro-saas-what-it-is-and-how-to-build-one)

Showing posts from saas tag

AI Agents Will Not Kill Your MicroSaaS

10 High-Impact Micro SaaS Ideas for 2025

What is Micro SaaS