Know what your prompt library costs before the first paid seat.
PromptFund turns prompt count, model usage, QA effort, hosting, licensing, and support into a 90-day launch budget with a live runway tape.
From assumptions to a defensible launch plan.
PromptFund keeps the calculator specific to AI prompt libraries: ingestion, prompt QA, token testing, contributor payouts, taxonomy work, and customer support.
| Cost driver | Basis | Owner | 90-day estimate |
|---|
1. Shape the prompt inventory
Pick the library size, refresh rate, and contributor model before buying tools.
2. Simulate usage costs
Model evaluation, token tests, embeddings, and support triage roll into one usage forecast.
3. Set a break-even target
Translate burn into subscriber counts for founder-led sales, paid beta, or team plans.
Credible enough for a founder review.
Use the estimate in a pricing meeting, investor update, or weekly cash review without turning it into a finance spreadsheet.
Includes prompt QA, taxonomy, token checks, hosting, auth, analytics, and creator royalties.
Shows launch cash, break-even seats, and runway from the same assumptions.
Saved budgets become board-friendly operating snapshots for a prompt-library startup.
Plan your first paid release.
Start with the free calculator, then keep historical scenarios as your library grows.
Founder Worksheet
- One live launch budget
- Lean, paid beta, and team scenarios
- Runway tape and break-even subscribers
Operator Pack
- Saved scenarios and CSV export
- Contributor payout modeling
- Usage cap alerts and margin notes