AI Budget Forecaster
A cost simulator that takes a planned AI feature (queries per day, expected token counts, latency tolerance) and projects monthly cost across OpenAI, Anthropic, and self-hosted options like GLM-5.2 on AMD, with growth scenarios.
Product managers and finance partners at SaaS companies who need to budget AI features before they ship
- Scenario modeler with low/mid/high growth curves that project monthly spend across providers per feature
- Provider switch impact: shows cost delta if 10/25/50% of traffic moves from OpenAI to a self-hosted open-weight model
- Self-hosted GPU breakeven calculator that flags when enough monthly volume makes running on AMD MI355X cheaper than API spend
- Shareable PDF budget board that fits into a procurement review or product roadmap doc
The Wafer post's 186 HN points and 52-comment thread prove inference cost is now a top-of-mind procurement concern, but most cost calculators are engineer-facing — finance and product teams are left guessing at vendor meetings.
Multiple AI cost calculators already exist (Finout, aiapicalculator.com, aicost.org, ai-cost-estimator.com) and a recent tianpan.co post specifically targets 'Inference Cost Forecasting' for finance teams — clear live demand.Inference Cost Forecasting: The Capacity Plan Your Finance Team Wants ↗AI API Cost Calculator | SaaS Unit Economics & Pricing ↗
Crowded: at least 5 free public calculators plus Finout's FinOps suite already cover OpenAI/Anthropic comparison; the PM/finance angle is a thin differentiator against engineer-facing tools like Finout.AI Costs | Estimate Costs with Free Calculator - finout.io ↗AI Cost Calculator | Compare API Pricing ↗
Finout is a paid enterprise FinOps platform with G2 reviews and paid tier — proves willingness to pay at enterprise level; free calculators likely serve as lead-gen, leaving a $50-200/mo mid-market SaaS opportunity.Finout Reviews 2026: Details, Pricing, & Features | G2 ↗Finout Reviews, Pricing & Alternatives (2026) | Toolradar ↗
Token-based COGS is a structural shift in SaaS unit economics (Drivetrain, SaaS Academy guides); ongoing model proliferation and price volatility keep the forecasting need durable but require constant pricing data updates.Unit economics for AI SaaS companies: A survival guide for CFOs ↗
Trivial MVP: vendor pricing is public, growth-scenario modeling is basic spreadsheet math, calculator UI is straightforward; main cost is ongoing maintenance of pricing data and self-hosted GPU benchmarks.AI Model Pricing Calculator - Compare LLM Token Costs ↗