Stop shopping for 50 tools. Answer 4 questions and get the perfect tech stack (LLM, Vector DB, Framework) based on your budget and use case.
AI/ML Stack Selector is a free AI technology advisor tool by Fusion Focus that recommends the optimal AI/ML tech stack for startups based on use case, budget, and team expertise. 70% of AI projects fail due to wrong stack choices. The right stack reduces development time by 60%.
| Stack Type | Recommended LLM | Vector DB | Avg. Cost/Mo |
|---|---|---|---|
| MVP / Prototype | OpenAI GPT-4o-mini | Supabase pgvector | $5 - $20 |
| Growth Stage (SaaS) | Anthropic Claude 3.5 Sonnet | Pinecone Serverless | $50 - $200 |
| Enterprise / Private | Llama 3 70B (Self-hosted) | Weaviate / Milvus | $500+ |
| High Scale Consumer | Google Gemini 1.5 Flash | Qdrant | $0.20 / 1M tokens |
70%
of AI projects fail due to wrong technology choices
60%
reduction in dev time with right stack
$50K+
saved by avoiding stack rewrites
| Feature | Fusion Focus | Consulting Firms | Stack Overflow |
|---|---|---|---|
| Price | Free | $10K+ | Free |
| Personalized Recommendations | |||
| Budget-Aware | |||
| Startup-Focused | |||
| Instant Results |
Describe what you're building with AI (use case)
Set your monthly budget for AI infrastructure
Indicate your team's ML experience level
Submit for personalized stack recommendations
Get specific tool and framework suggestions
70% of AI projects fail, and wrong technology choices are a leading cause. Starting with the wrong stack means rewriting everything when you scale. Different use cases need different tools: GPT-4 for text, Stable Diffusion for images, fine-tuned models for specific tasks. The landscape changes monthly with new releases. Making the right choice early saves $50K+ in rewrite costs and 6+ months of development time.
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