Subscription cost forecaster for growing ops teams

The moment a small business decides to expand their use of an AI operations tool — hiring two more people, adding a contractor, spinning up a new department workflow — they have no way to know what that decision will cost them until the invoice arrives. 'Pricing escalates quickly as my teams grow.' 'Userbase can grow subscription costs pretty significantly if you're not tightly managing permissions.' 'The billing plan is confusing, leading to concerns about being charged when sharing templates.' These aren't complaints about price — they're complaints about unpredictability.

The reason this isn't solved already is structural: the vendors have a financial incentive for billing to be somewhat opaque. If you clearly understood that adding your fifth user tips you into the next tier and costs an extra $300/month, you'd probably not add that user, or you'd shop around. The ambiguity benefits the vendor at the cost of the buyer's ability to plan.

What a growing 15-person company actually needs is something like a financial model for their SaaS stack: if we hire three people and they all need Airtable editor access, what does that do to our bill in month 1, month 6, month 12? Which features do we actually use that justify the current tier, and which ones are we paying for but not touching? No existing tool does this in a way that accounts for per-seat pricing tiers, add-on costs, and usage-based overages together, with a forward-looking projection.

This is a business because every hiring event, every team restructure, and every vendor renewal is a moment when someone wishes they had this information. It's not a one-time audit — it's a recurring planning need that a small ops or finance team will use quarterly at minimum.

What to build

Build a SaaS cost modeler that connects to billing APIs for tools with per-seat pricing (starting with Airtable) and lets admins simulate 'what happens to my bill if I add 5 users, upgrade 3 to editor, and enable automations' — showing exact tier transitions and 12-month cost projections before any change is made.

Where to start

Start by building the Airtable billing model with extreme accuracy — every tier, every add-on, every edge case — and market it specifically to ops communities where Airtable pricing confusion is a known, shared grievance, winning on depth before breadth.

The hard part

Getting accurate tier and pricing data requires either scraping pricing pages (which change frequently and inconsistently) or formal partnerships with vendors who have no incentive to make their pricing more transparent — so maintaining accurate billing models is a constant operational cost.

How it makes money

Free for modeling a single tool up to 10 users, then $29/month for unlimited users and multi-tool modeling — targeting the finance or ops manager who already pays $200+/month in SaaS tools they can't fully predict.