revenue-acceleration
Revenue Acceleration for Scientia Stack
Workflows for accelerating revenue across the top 7 projects.
Tier-1 Projects (Highest Revenue Potential)
| Project | Score | ACV Target | Timeline |
|---|---|---|---|
| sales-agent | 91/100 | $36-60k/year | 4-6 weeks |
| dealer-scraper | 83/100 | $10-40k deals | 2-4 weeks |
| thetaroom | 81/100 | Track record | 6-12 weeks |
| ai-cost-optimizer | 81/100 | Case study | 8-12 weeks |
Tier-2 Projects (Active Development)
More from scientiacapital/scientia-superpowers
cost-optimized-llm
Implement cost-optimized LLM routing with NO OpenAI. Use tiered model selection (DeepSeek, Haiku, Sonnet) to achieve 70-90% cost savings. Triggers on "LLM costs", "model selection", "cost optimization", "which model", "DeepSeek", "Claude pricing", "reduce AI costs".
4supabase-mastery
Master Supabase patterns for migrations, RLS policies, pgvector, and authentication. Use when creating database schemas, writing migrations, implementing row-level security, setting up auth, or debugging Supabase issues. Triggers on "supabase migration", "RLS policy", "row level security", "pgvector", "supabase auth", "magic link".
2deployment-patterns
Deploy projects to Vercel, Railway, or Docker with platform-specific best practices. Use when deploying applications, configuring deployment settings, debugging deployment failures, or setting up CI/CD pipelines. Triggers on "deploy to vercel", "railway deployment", "docker build", "deployment failed", "configure vercel.json".
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