7
Built a Slack search bot that actually works. This weekend project turned into our team's favorite tool
r/SideProject
7/10/2025
Content Summary
A developer built a semantic search bot for Slack using Python, FastAPI, and DuckyAI's RAG system to address Slack's ineffective native search. The bot understands natural language queries, retrieves relevant conversations from nested threads, and provides direct answers. The solution was implemented in under an hour using Groq's llama3-70b-8192 model and shared via GitHub for community adoption.
Opinion Analysis
Mainstream opinion supports the effectiveness of semantic search implementation for solving Slack's search limitations. The post demonstrates strong product validation through internal team adoption. No conflicting opinions are present in the provided content, though potential debates could arise regarding data privacy in third-party Slack integrations or the scalability of the proposed solution.
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| DuckyAI | https://ducky.ai | RAG Platform | Retrieval Augmented Generation for semantic search |
| Groq | AI Model Hosting | Provides llama3-70b-8192 model for inference |
USER NEEDS
Pain Points:
- Slack's built-in search produces out-of-context messages
- No threading support in search results
- Excessive noise in search results
Problems to Solve:
- Difficulty finding past conversations and decisions in Slack
- Need for contextual understanding in search queries
Potential Solutions:
- Semantic search implementation using RAG
- Direct answer generation in conversation threads
- Support for nested threads and emoji parsing
GROWTH FACTORS
Effective Strategies:
- Rapid prototyping (1-hour implementation timeframe)
- Open-source code sharing for community adoption
Marketing & Acquisition:
- UTM-tagged technical blog posts
- GitHub repository for developer engagement
Monetization & Product:
- Demonstrated product-market fit through internal team adoption
- Leveraging cutting-edge AI models (llama3-70b-8192)
User Engagement:
- Direct integration with popular collaboration tools (Slack)
- Focus on solving specific workflow pain points