LeaveCalc CA — the California teacher's API that forecasts the paycheck impact of any leave
A per-call API that shows a California teacher exactly how a specific leave affects their net pay and CalSTRS pension, before they file.
For California public school teachers who need a personal forecast of leave effects on pay and pension credit before they file.
- Month 1 revenue
- £600
- Lifetime value to cost
- 12.0×
- Payback
- 2 months
Computed by the engine from the pack's verified inputs. Your own results will differ.
£600 modelled month 1 ÷ £49 pack = 12×
One month at the modelled rate covers the pack 12 times over, with the build itself modelled to pay back in 2 months.
Computed by the engine from the pack's verified inputs. Your own results will differ.
A pack is grounded research, not a promise of business success. See our refund policy.
What’s inside your download
The moment you pay, you download the whole pack. 8 documents, no drip feed, no login.
- Executive Summary00_Executive_Summary.mdThe opportunity in one page: what it is, the grounded signals that survived the checks, and an explicit list of what the pack does NOT claim. Read this first to decide if it is for you.
- The Blueprint (Build Spec)01_Blueprint_BuildSpec.mdWhat is actually being built, and in what order. Phased build plan, the recommended stack, the explicit non-goals for v1, and a straight section on what would kill this.
- The Go-To-Market Plan02_Marketing_Plan_GTM.mdWhere your first customers come from. The named channels and the communities behind them, the positioning you lead with, the beachhead to start in, and the kill criteria that tell you to stop.
- The Operations Plan03_Operations_Plan.mdHow the thing actually runs once someone pays. Delivery workflow, capacity limits, the compliance gates you cannot skip, and where the manual work really sits.
- The Financial Model04_Financial_Model.mdPricing mechanics and unit economics. Figures the engine could not ground are marked as absent rather than filled in, no invented revenue, cost or TAM.
- First-Week Checklist05_First_Week_Checklist.mdSix concrete steps for days one to seven: confirm the buyer, sketch the smallest paid offer, pick one channel and ignore the rest, and log what you could not verify.
- Marketing AssetsMarketing_Assets.mdLaunch copy you can send today, listing page, outreach and social drafts. Every asset passes the same claim-check as the research, so nothing here overstates the product.
- The QA Report, with the receipts(51 sources)QA_Report.mdAll six checks, each verdict, and a clickable source behind every claim. This is the file that proves the rest of the pack is not invented.
Format: one zip of plain Markdown files, 5,000+ words per pack. Open it anywhere, edit it, or paste it straight into Notion, Obsidian or your AI tool of choice. No PDF viewer, no login, no subscription.
Instant downloadSix ways we tried to kill it
Each one is an attack, not a rubber stamp. An idea dies on the first front where we find cited evidence against it, and a listing means none of the six produced that evidence. Finding nothing is not the same as finding a green light, so the scores below show where this pack’s case is strong and where it is thin.
- 1Whether the pain is imagined
- 2Whether the value decays
- 3Whether incumbents already own the space
- 4Whether anyone will actually pay
- 5Whether it can reach a market at all
- 6Whether there is a legal landmine
Is this for you?
- Sells to consumers
- Part automated
- Full-time
- Vertical tool
The table of contents
Exactly what this pack covers, plus a blurred look at the document you receive.
- 01A build spec for a leave forecast programming interface and a simple teacher web form
- 02A go to market plan aimed at California teachers paying for personal reports
- 03An operations plan for curating district leave rules and CalSTRS credit paths
A look inside
Real, sourced lines taken straight from the pack. This is the level of grounding behind every claim you are buying.
- That price sits well inside personal budgets: California public-school teachers earned an average salary of $103,552 in 2024–25 (source: https://www.cde.ca.gov/fg/fr/sa/cefavgsalaries.asp).
- Card checkout for a single $2 report or a $12 monthly plan (pricing from opportunity brief — assumption — unverified that these exact prices convert; solvency support only: average salary $103,552 in 2024–25, source: https://www.cde.ca.gov/fg/fr/sa/cefavgsalaries.asp).
Every figure and claim in this pack is traced to external evidence you can open and check. No hand waving, no vibes. Audit reference dossier:48977b86df56eaac.
Want to see the depth first? Read the free sample reportSame mechanics, different world
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£49
- Month 1 revenue
- £600
- Lifetime value to cost
- 12.0×
- Payback
- 2 months
Computed by the engine from the pack's verified inputs. Your own results will differ.
£600 modelled month 1 ÷ £49 pack = 12×
One month at the modelled rate covers the pack 12 times over, with the build itself modelled to pay back in 2 months.
Computed by the engine from the pack's verified inputs. Your own results will differ.
A pack is grounded research, not a promise of business success. See our refund policy.