MapaTrhu homepage
The first screen explains the buyer-first position: buying a home without blind spots, duplicates, and overpriced decisions.
Public beta · April 2026
mapatrhu.skMapaTrhu
For buyers, investors, and data teams that do not want to make decisions from dozens of tabs, duplicates, and unverified impressions.
13 data layers: demographics, labor market, schools, transport, services, environment, and more.
Fair price appears only where there is enough comparable evidence.
Market guides and methodology live on mapatrhu.sk, while product authority and story live on Rise.
MapaTrhu is a buyer-first product for the Slovak real estate market. Live intent lives on mapatrhu.sk: the map, market guides, methodology, beta feedback, and seller onboarding. Rise carries the authority layer: who builds the product, why it exists, how we think about the data, and where a data or analytics engagement can extend it.
Public beta opened in April 2026
Methodology and data boundaries are public
Market guides keep live product intent on mapatrhu.sk
Rise.sk carries delivery, authority, and company context
What the product solves
A real estate map that shows price, data confidence, and location context together.
The live product stands on methodology, public market guides, beta feedback, and a clear split between verified facts, estimates, and what we still do not know.
A shortlist without chaos
Buyers see the map, locations, data confidence, and market guides without stitching the picture together from dozens of tabs.
Fair price without a black box
The estimate has boundaries. When there is not enough comparable evidence, the product softens or hides the calculation.
Authority without cannibalization
Product intent lives on mapatrhu.sk. The Rise page explains ownership, methodology, trust, and adjacent data services.
What we can show today
Real screens, not rendered mockups
Bratislava market guide
Market guides are public SEO entry points on mapatrhu.sk. They carry local intent, sale and rental medians, and coverage information.
sale and rentcanonical listingscoverage and refresh
Methodology and data confidence
The methodology states what is a hard fact, what is calculated, and what is only an approximate estimate.
fair price boundariesevidence layers
Project story and vision
The project story explains why it exists and why buyers need the map, methodology, and price history in one flow.
why the product existsnon-negotiable rules
MapaTrhu authority
Live product belongs on mapatrhu.sk. Trust, methodology, and story belong here.
MapaTrhu is not another generic property portal. It shows price together with data confidence, location layers, and calculation boundaries. Rise carries company and technical authority so it is clear who builds the product and how it can be extended for data teams.
Fair price without a black box
The estimate appears only when enough comparable evidence exists. A weak calculation should be admitted, not polished.
Evidence layers
Data is separated into verified fact, calculation, model-extracted information, estimate, and missing input.
Market deduplication
The same flat, reposts, price changes, and source conflicts belong in one readable context.
13 location data layers
Price is not enough. Location context adds demographics, labor market, schools, transport, services, environment, and surroundings.
Buyer personas
A young family, investor, professional, or senior weighs location differently. The product should fit the person, not only the spreadsheet.
Beta, sellers, and feedback
The public beta opens bug reporting, free listing submission, and contributor rules directly in the product.
Who fits and where we would not start
An honest read on when it makes sense to bring us in
Who it fits best
Buyer or renter
People who do not want to compare only price, but also location, schools, transport, services, and data confidence.
Investor or buyer agent
Teams that need to narrow a shortlist fast and understand fair price, market guide context, and history before a viewing.
Seller, broker, or data team
Teams that need to publish a listing fairly, understand coverage, or extend the product with reporting and data layers.
Where we would recommend another entry point
Not as a valuation substitute
MapaTrhu is preparation before a viewing and professional review. The final purchase decision stays with the buyer and their experts.
Not as an uncontrolled data feed
For data collaboration we first define the source, refresh cadence, calculation boundaries, and licensing frame.
Not as a generic lead-gen portal
The product is built for buyers, methodology, and data trust. Mass lead generation is not its primary direction.
Integrations, deployment, and security
What we define before anything broader goes live
Live product
Mapatrhu.sk carries the map, market guides, methodology, and beta feedback.
Buyers and renters get the core product for free.
Data boundaries
The methodology separates verified data, calculations, estimates, and missing inputs.
Fair price is not shown when comparable evidence is not strong enough.
Authority and SEO
Market guides keep local buyer intent directly on mapatrhu.sk.
Rise carries ownership, methodology, and case-study context for the product.
Team extension
A data pilot starts with region, segment, refresh cadence, and calculation boundaries.
Reporting, exports, and BI are designed only around how the team actually decides.
Data layer and methodology
Public property sources - The product connects publicly available Slovak property data into the map and market guides.
Evidence layers - We distinguish verified facts, calculations, estimates, model-extracted information, and missing inputs.
Location intelligence - 13 data layers add labor market, schools, transport, demographics, services, environment, and other location context.
How the pilot starts
Live product, demo, or narrow data pilot
Buyers go directly to mapatrhu.sk. For companies, investors, and data teams we show the demo, methodology, and a possible pilot around a concrete location or decision question.
Public product pricing is handled by MapaTrhu. B2B data extensions are handled through Rise based on scope and licensing.
01
Live intent on mapatrhu.sk
The map, market guides, methodology, beta feedback, and seller onboarding stay on the product domain where users look for them.
Output: Agreed location, buyer segment, and decision metrics.
02
Authority and trust on Rise
Rise explains who builds the product, why it exists, how we think about data, and where calculation boundaries sit.
Output: Selected market guide, shortlist, or coverage/reporting output.
03
Pilot or data extension
If a team needs custom reporting, export, scoring, or BI, we start with a narrow scope around a concrete location or question.
Output: Evaluation of what belongs in the live product and what needs a custom data layer.
Common questions
Questions teams ask most often before a pilot
Live product and authority layer
Product intent lives on mapatrhu.sk while context and trust stay on rise.sk
This page carries the company context, methodology, and case-study layer. Live buyer intent, locality pages, market pages, and methodology answers point to mapatrhu.sk so the brand and product strengthen each other instead of cannibalizing one another.
Pillar article
Real Estate Intelligence for Investors
Seeing more listings does not automatically lead to better investment decisions. The real advantage comes from fair price checks, normalized market data, and yield logic that can be applied before the viewing. This is what we mean by real estate intelligence.
2026-04-11Maroš Bednár
Supporting articles and case studies
Read articleUse case
How to Check the Fair Price of a Flat Before the Viewing
Before you invest time into a property viewing, you should already know whether the asking price is aligned with the local market. This article outlines a practical fair price check using comparable data, location context, and yield logic.
2026-04-11Maroš Bednár
Supporting articles and case studies
Read articleROI and yield
Yield and Cash Flow for Investment Apartments
A property can look cheap against the market and still be a weak investment. This article explains how investors should read yield and cash flow together, and why normalized listing data makes the difference between a quick opinion and a repeatable decision model.
2026-04-11Maroš Bednár
Supporting articles and case studies
Read articleNext step
If the product fits, we walk through the demo and pilot scope
In the demo we walk through real screens, the current scope, and the pilot boundaries. No unnecessary marketing layer.
Early access
Get notified when this is ready
Drop your email and we'll reach out when the product is ready for a pilot. No newsletter, no noise — just one message from our team when there's something to show.