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We are excited to share the latest Micro SaaS news and Micro SaaS Ideas to help you on your journey as a SaaS founder. Let's explore what's new this week!

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🎉 ✨ Recent Micro SaaS News in 2 minutes

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1. Marblism used by 50000 developers generates SaaS apps with Generative AI. Users just give the prompt to generate the full stack SaaS apps.

2. Feedbucket by Marcus reached $10K in monthly revenue. It’s a website feedback tool for agencies to collect feedback during website reviews.

3. TestZebra by Martin hit $45K/month in revenue. TestZebra is an online platform that helps companies in hiring the skilled candidates by providing them with a range of tests to assess applicants.

4. Dean crossed $2700 in MRR with Dubble, a Chrome Extension that creates step-by-step guides, tutorials and onboarding resources for your processes.

5. ipapi.is reached $5K MRR. It is an IP address API that can be used to get meta information about any IPv4 and IPv6 address. ipapi.is was launched in late 2022 as a side project.

6. 60sec.site by Jack reached $1.3K in monthly revenue. 60sec.site is a landing age builder that lets users create a landing page in 60 seconds using AI

7. Anshul has grown Socially to $1MM in annual revenue. Socially is a community building platform that provides monetization opportunities through various means such as advertising, sponsored content, premium memberships, virtual goods etc.. Socially is totally bootstrapped .

8. Tailscan by Erwin, reached $5K/month in revenue. Erwin launched it in November 2022. Talisman lets users build, design and debug their Tailwind website visually with Tailscan, right within the browser.

9. Quicklisting by Danny hit $1.2K/month in revenue. It’s a tool for automating product submissions to 150+ online directories.

10. Alex hit $400 MRR in 2 months with AutoAE - a tool to create create viral hooks
    with AI

11. Snowball by PL reached $500 MRR. It's a tool for X (Twitter) users that helps with creating, scheduling, and publishing content.

12. Marblism used by 50000 developers generates SaaS apps with Generative AI. Users just give the prompt to generate the full stack SaaS apps.

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❤️❤️ Cool Product:

Now, you can generate SaaS apps with prompts.

Marblism lets you generate a full-stack NextJS app from a prompt

Starting a new project is so much grunt work. That's why Marblism is created: just describe your app, and voila.

Generate SaaS from Prompts

How the magic works:

1. Describe the product you want to build: SaaS, marketplaces or AI apps

2. Marblism generates the database and the back-end

3. Marblism generate the front-end

4. You can iterate on your app with AI or work on the code by yourself

That’s 90% work done for you.

Now you can focus on the 10% that sets you apart.

Generate SaaS from Prompts

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• (📈 Pro) 50+ products making money in ‘Cohort Based Learning, and ‘Course Authoring and Coaching‘ niches

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⛳ 💡 Micro SaaS for AI-powered Centralised Task Management

Managing tasks and to-dos across different apps is often inefficient and leads to missed deadlines. An AI-powered Micro SaaS can solve this by automatically capturing tasks from emails, calendars, chats and meetings and organizing them into a unified list in a dashboard. The AI would analyze communication from tools like Slack, Zoom, Google Calendar, Notion etc. and extract actionable items without manual input. It then creates a unified dynamic task list, complete with deadlines and priorities. The app would also categorizes tasks intelligently, suggesting tags based on the content. Maintain links to original sources, allowing users to quickly access full context when needed. Hoop is one such tool for AI-based task management that has received $5 million in seed funding.  Noty.ai used by 100K+ people generates actionable to do lists from meeting transcripts. 

⛳ 💡 API for IP Address Data

Build an API that provides a wide range of data points from any given IP address. This can include geolocation data, network information, business information tied to IP addresses, proxy & VPN detection etc. It has many applications such as displaying location-based offers and advertisements, providing content localisation and enhancing security by detecting bots and malicious traffic. It can also help identify users with slower service providers, allowing businesses to optimize website performance by minifying content. It can also be used for enforcing content restrictions based on users' location and compliance to data privacy regulations like GDPR etc.  ipapi.is reached was started in late 2022 as a side project and has reached $5K MRR. IPinfo is another player in this space with an estimated annual revenue of $870K

⛳ 💡 Micro SaaS for Live Translation during Phone Call 

Create an AI-powered app for real-time voice translation during phone calls offering speech-to-speech translation between languages. This would enable natural communication between users speaking different languages whether it’s during travel or during business calls. Users can speak in one language and the app would convert the source speech into another one in a different language using generative AI. The app can also provide post-call summaries and call transcripts in multiple languages. For inspiration, see AIPhone.AI that supports AI translation and transcription in over 100 languages has achieved 100K+ downloads.

⛳ 💡 Micro SaaS for Automated Product Submissions to Directories

Submitting your app or product to online directories is crucial for improving SEO, driving traffic and building valuable backlinks. But the process of manually submitting to numerous directories can be incredibly time-consuming and repetitive. There are hundreds of directories out there, each requiring similar basic information about a product. Build a tool that automates this submission process for founders. A comprehensive list of quality directories should be available, allowing users to filter by niche, popularity, or domain authority. Quicklisting and ListingBott are two examples to take inspiration from. Quicklisting has already reached $1.2K/month in revenue

⛳ 💡 Real Estate Analysis Tool based on Maps and Demographics Data

Real Estate Analysis Tools based on Maps and Demographics Data offers real estate professionals and investors valuable insights. Combining mapping technology and demographic data, users can visualize and analyze property markets, assess property values, and conduct competitive analysis. It provides real-time data for risk assessment and allows users to track market trends and forecast future property price movements. With collaborative features, teams can work together and share analyses. The tool aids businesses in selecting ideal locations based on demographics and foot traffic. Seamless integration with other systems and customization options make it adaptable to specific needs. See Placer.ai to get an idea of how useful this would be for business. Also see solutions like Pebblar that helps with property database builder and demographic analysis. Placer.ai has estimated annual revenue is $120.8M.

⛳ 💡  Virtual Sales Floor

When it comes to onboarding, training, and live coaching, Sales/Presales teams require a distinct approach from core Engineering teams. Engineering teams typically have a fixed set of skills to learn, which can be taught with the aid of documentation and recorded videos. However, when it comes to Sales teams, the task of training a Hybrid team located both remotely and in person is far more complex. Sales teams must learn and iterate multiple times based on the calls they receive and make, both inbound and outbound. To facilitate faster onboarding, create a Micro SaaS solution that is exclusively meant for the Hybrid sales team to get onboard faster. The solution should provide a way to train on inbound/outbound calls by allowing people to take the calls together and add notes as the call goes. This solution should allow for inbound/outbound call training, with the ability to take calls together and add notes during the conversation. It should also provide other relevant workflows such as note-taking, debriefs, conversation recordings, and call simulations. For example, Teamflow tried solving this problem for sales teams exclusively and received $49.9M in funding.

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💳 💳 Cost Analysis for 100 customers

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