50
Content Summary
User jamfromouterspace built a simple recipe finder tool called Mist App Recipe Finder and shared it on r/SideProject. The tool allows users to filter recipes by dietary preferences and calories. Users provided feedback on improving the calorie selector UI, adding ingredient-based filtering, and expanding dietary options. The creator mentioned compiling recipes manually from online sources.
Opinion Analysis
Mainstream opinions praise the tool's concept but highlight UI/UX improvements needed. Dominant requests include replacing the calorie slider with text input and adding ingredient filtering. Controversy exists around data sourcing methods, with multiple users questioning recipe origins. The creator's manual compilation approach raised concerns about scalability. Dietary restriction limitations were noted as a key gap. Most comments were supportive of the core idea while suggesting feature enhancements.
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Mist App Recipe Finder | https://www.getmistapp.com/recipe-finder | Recipe Finder | Simple recipe search with filtering options |
USER NEEDS
Pain Points:
- Calorie selector implemented as a slider is inconvenient
- Lack of ingredient-based filtering (both inclusion and exclusion)
- Limited dietary restriction options
- Data sourcing concerns
Problems to Solve:
- Finding recipes based on specific dietary needs (vegetarian, high protein, gluten-free, dairy-free)
- Filtering recipes by ingredients users have or want to avoid
- Improving UI for calorie input
- Clarifying recipe data sources
Potential Solutions:
- Replace calorie slider with text input and preset buttons
- Add ingredient inclusion/exclusion filters
- Expand dietary restriction options
- Provide transparency about data sources
GROWTH FACTORS
Effective Strategies:
- Building niche tools to solve specific problems
Marketing & Acquisition:
- Sharing projects on relevant subreddits (r/SideProject)
Monetization & Product:
- No direct monetization mentioned
- Potential for feature expansion based on user feedback
User Engagement:
- Responding to user feedback in comments
- Implementing suggested improvements