In this doc, we breakdown of the most common types of Micro SaaS products into categories that'll be useful in recognizing patterns across the Micro SaaS landscape.
Data Licensing provide access to proprietary data typically involve data aggregation, normalization, and enrichment examples financial market APIs scraping niche data at scale enriching company or profile info news aggregation
Machine Learning provide easy to use interfaces on top of pre-trained ML models examples lead scoring creating fake user-generated content (photos, profiles, etc)
No-code Workflows focused workflows that extend popular platforms for power users individual zaps packaged as focused micro saas products examples Google Sheets to X Notion to X
Workflow Automation scraping, bots, headless chrome examples automating leadgen from linkedin social media automation
Image & Media Processing Tasks provide transformations of common media formats examples custom image effects meme generation image / gif / video optimization
Data Transformations examples document conversions (docx ⇒ pdf, png ⇒ jpeg, etc) IP address to metadata lookup
Developer Tools open core products have enormous potential (OSSC )
User Experience take some existing platform, feature, data, or workflow and expose it with a much better UX
Pricepoint take some existing product or feature and offer it at a significantly cheaper price product examples backblaze / wasabi vs AWS S3 or GCS
Offline to Online take some existing offline service and offer it as an online service often able to offer the same experience with a better UX, improved efficiency, and cheaper this transition will continue seeing massive spikes due to COVID
Consumer Webapps misc UX-heavy utilities targeted at consumers
