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🎉 ✨ Micro SaaS News this Week

(This saves you hours of time and keeps you up to date on what's going on in Micro SaaS)

1. SocLeads by Evgenii reached $4,600 MRR after 5 months. SocLeads is a SaaS for scraping emails and phones from Instagram, Facebook, Linkedin, and Google Maps. It crossed $13K in total revenue with 119 customers

2. Ive has grown Sintelly app to $711 MRR. It crossed $1,057 in total revenue from 68 sales. Sintelly is an AI-powered psychotherapy mobile app based on Cognitive Behavioral Therapy (CBT) approach.

3. MicroAssets by Mubashar crossed the $300 MRR. MicroAssets connects buyers with bootstrapped founders that sell high-potential projects under $100k.

4. Parqet by Sumit hit $108k MRR . Parqet is a portfolio tracker focused on the DACH (Germany, Austria, and Switzerland) market. It aggregates, analyzes, and visualizes investment portfolios of mainly retail investors. It was started in 2020 and grew to €15k MRR in 1 year.

5. Jan hits €12k MRR with 3D AI Studio. Jan built this AI tool for creating 3D assets.

6. Sankeerth and Ruthvik launched Get Website Report in Jan 2024 and it has generated $31,185 in revenue with $4324 in expenses. Get Website Report is an AI-powered tool that evaluates various elements of a landing page and provides feedback and recommendations

7. Tag Parrot by Blakey crossed $8K MRR in 9 months since its launch. Tag Parrot is an SEO tool for auto-indexing

8. ScrapeNinja reached $8K MRR. It is a Web Scraping API that was launched in 2021 by Anthony and Oleg.

9. Eugene hit $4.4K/month revenue with Documind. The total revenue generated since launch is $30k. Documind is an AI tool to ask questions, summarize document, generate reports or create a chatbot trained on your documents.

10. ClarityAI.co by @philz1337x has reached $5,000 MRR. Clarity Al is a high-resolution upscaler that can enhance images and add details.

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⛳ 💡 Micro SaaS for Side-by-Side LLM Output Comparison

GPT-4, Claude, LLama, Gemini and other Large Language Models (LLMs) often produce noticeably different outputs for the same input prompt. These differences can range from subtle variations in tone and style to significant disparities in factual accuracy or task completion. Some models handle technical queries better, while others might be superior at understanding context, creative writing or maintaining consistency in long conversations. These variations matter greatly to content creators, developers, researchers and businesses. Comparing these models effectively is time-consuming. Users typically need to switch between different platforms or interfaces, manually input the same prompt multiple times, and then struggle to keep track of and analyze the various outputs. Build a tool that allows users to input a single prompt and simultaneously receive responses from multiple LLMs displayed side by side. It would eliminate the need to switch between platforms and provide a clear, visual way to compare outputs. See AI Playground , a chrome extension that supports multiple LLMS for comparing outputs and has got 6,550+ users. Also check NailedIt, another tool in this space.

⛳ 💡 Micro SaaS for SaaS Spend Management for Small Businesses

Businesses often struggle with managing and optimizing their SaaS subscriptions, leading to wasted resources and inefficient spending. Build a tool that empowers small businesses to take control of their SaaS expenditures. The tool would automatically track and categorize SaaS expenses, monitor usage across different teams and identify underutilized licenses. It can also facilitate contract renewals by sending reminders and suggest alternatives based on actual usage patterns. Spendbase and Substly are two products in this space. Spendbase's estimated annual revenue is $14M. Substly received $370K in funding.

⛳ 💡 Micro SaaS for AI-powered visual search for Product Discovery

E-commerce businesses need to help customers find products they're looking for, especially when they don't know the exact keywords to search for. This is where an AI-powered visual search tool comes in. By bridging the gap between what customers see and what they want to buy, this tool can help the online shoppers with product discovery. Customers can simply upload an image of a product they like and the AI tool analyzes uploaded images, identifying key attributes like color, shape, pattern, and style. The tool then matches these attributes to products in the online store's catalog and displays visually similar items to shoppers. Syte is a visual AI platform for retailors in this space. It received $71 million in funding and generates an estimated $20M in annual revenue.

⛳ 💡 Micro SaaS for Checkout for E-commerce stores

Build a Shopify app that lets merchants customise the checkout process for their customers without coding. This helps them optimise the checkout and post-purchase pages to boost sales. The app would allow customizable payment and shipping methods, allowing merchants to hide or reorder options based on various conditions like cart total, product tags, location etc. Provide Checkout page customization tools, including the ability to add custom fields, banners, trust badges etc. You can also provide Thank you page customization options, allowing merchants to add surveys, collect additional information or present more upsell opportunities. BeSure Checkout Rules is a Shopify app that reached $2000 MRR within 3 months of launch. Qikify Checkout Customizer is another popular Shopify app in this space

⛳ 💡 Micro-SaaS for Teaching UI/UX Interactively/with Gamification:

Gamified learning is an effective way to motivate users to learn and retain information, as it provides an engaging and interactive experience. Building a Micro-SaaS for teaching UI/UX interactively and with gamification is a fun way to teach people. The product can have modules that include interactive exercises, quizzes, and assignments. These tools will make the learning experience more interactive and hands-on. Gamification elements can be incorporated to engage learners and make the process fun. The product could include a variety of features such as interactive tutorials and quizzes that provide feedback and rewards for correct answers. The product can be improvised further with a leaderboard to track user progress and encourage competition with badges and achievements to reward users for completing tasks. For inspiration, see CSSBattle which helps people learn CSS with a gamified mechanism. CSSBattle crossed $1500 MRR. Befront is another examples in this space that received $100K in funding.

⛳ 💡 WordPress LMS Plugins

 Creating a WordPress plugin or external LMS (Learning Management System) that converts an existing WordPress site into an e-learning platform has the potential to be a good Micro SaaS product. This type of solution offers a quick and easy way for individuals or businesses to transform their existing websites into online education platforms. There are multiple ways to accomplish this, including creating the necessary tables and assets directly on the website's hosting or offering a cloud-based solution. For example, LearnDash, a popular LMS WordPress plugin, generates an estimated revenue of $2 million per year. WP Courseware, another well-known LMS WordPress plugin, has surpassed $23,000 in Monthly Recurring Revenue (MRR), while MasterStudy LMS has over 10,000 active installations. The growing demand for online education and the accessibility and scalability of the WordPress platform makes this a good Micro SaaS opportunity. 

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📈⚡ AI Trends this Week

1. AMD and a New Zealand-based AI start-up TensorStack have launched Amuse, a new AI image generator for Windows, that allows you to generate images locally on your computer.

2. OpenAI is launching Structured Outputs in the API—model outputs now reliably adhere to developer-supplied JSON Schemas.

3. ByteDance, TikTok's parent company, has debuted a new text-to-video mobile app called Jimeng AI.

4. Reddit plans to test AI-powered search result pages to summarize and recommend content.

5. OpenAI-backed Figure, the startup building AI-powered robots for household and factory work, has unveiled the next generation of its humanoid – Figure 02. Figure 02 has enhanced visual reasoning capabilities that work as the brain of the robot, helping it learn a task and even self-correct itself.

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