Technology Partners
The course, workshop and webinar all lean on a handful of practical tools: places to pull public listing data, templates to run the numbers, and directories that make furnishing research faster. None of these are paid placements, and using any of them is entirely optional.
A course is only as useful as the data you can actually get your hands on
Teaching a yield formula in the abstract is easy. Teaching it in a way that people can apply that same afternoon requires pointing at real, publicly accessible sources: exportable listing calendars, public price history viewers, and spreadsheet structures that do not require an accounting background to follow.
Everything below is referenced inside the course and webinar materials. We do not operate any of these tools ourselves, and mentioning them is not an endorsement of a specific outcome, only a shortcut so students are not starting from a blank page.
Public data extraction tools
Several publicly available dashboards let you view historical pricing and availability for listings in a given city without needing to scrape anything yourself. In the course, we walk through how to read those exports, what date ranges are meaningful for seasonal analysis, and how to avoid drawing conclusions from too small a sample.
Calendar and price history viewers
Used to see how nightly pricing for comparable listings moved across a full year, which is the backbone of the seasonal vacancy module.
Neighbourhood filters
Useful for narrowing a citywide dataset down to a district that resembles the property you are actually studying.
Yield calculator templates
Course participants receive editable spreadsheet templates rather than a fixed calculator, so every assumption stays visible and adjustable. The structure separates gross nightly income, cleaning and turnover cost, platform commission, seasonal vacancy rate, and the local tax line, so each variable can be changed independently to see how sensitive the final yield is.
Monthly cash flow layout
A month-by-month grid that makes seasonal patterns visible instead of averaging them away into one annual figure.
Assumption toggles
Separate input cells for commission percentage, cleaning cost per turnover, and expected occupancy by month.
Break-even marker
A simple reference line showing at what occupancy level costs and income cross, without predicting whether you will reach it.
Printable summary view
A one-page version useful for comparing two or more properties side by side during the course exercises.
Furnishing partner directory
The furnishing workshop references a general directory of categories: budget-friendly furniture retailers, textile suppliers, and secondhand marketplaces commonly used in Poland for furnishing rental units. This is offered as a starting list for research, not a recommendation of any single supplier, and inclusion does not imply any commercial relationship.
Furniture category map
A rough guide to where budget, mid-range and higher-durability options tend to sit for sofas, bed frames and storage.
Lighting and textile notes
Guidance on where lighting quality and textile choice tend to affect photos more than raw spend does.
Booking sync reference
For owners listing on more than one platform, keeping calendars aligned matters for the vacancy calculation itself: a double booking or an unsynced blocked date will distort your real occupancy number. We reference general calendar-sync concepts used across major platforms so the vacancy input in your yield model reflects reality.
iCal-style calendar links
A widely used method for mirroring availability between platforms without manual re-entry.
Common sync gaps
Where timing delays between platforms can create a small but measurable gap in your vacancy figures if left unchecked.
Not sure which template fits your situation?
Tell us a little about the city and the stage you are at, and we can point you to the right module or resource.
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