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Join BetaSearch and filter 27 real business problems from workers across every industry. App ideas group related problems into buildable product concepts.
Real estate professionals struggle with conflicting data sources and lack time to build custom analysis models. This platform solves both problems by providing verified data with consistent definitions and pre-built customizable templates.
“Real estate professionals cannot determine which data source to trust when different platforms show conflicting property data despite supposedly pulling from the same MLS.”
“Online property valuation tools are inaccurate and unreliable, creating uncertainty for users who need precise property value estimates.”
Investors and analysts waste hours manually matching tax-delinquent property records with death records across multiple counties. There is a clear gap for an automated tool that integrates obituary, probate, and county data with name normalization to detect deceased owners accurately.
“Identifying deceased property owners among tax-delinquent properties is manual and time-consuming.”
“Identifying deceased property owners among tax-delinquent properties is inefficient and inaccurate due to data normalization challenges across multiple counties.”
An app that automatically reconciles conflicting listing data from multiple sources (brokerage feeds, MLS feeds) and syndicates clean, consistent data to all portals. It eliminates duplicates, errors, and manual double entry.
“Real estate agents face data fragmentation and duplication when listing properties across multiple MLS systems and portals, leading to errors, wasted time, and inconsistent information.”
“MLS listing integrity is compromised when multiple data sources (brokerage feeds and MLS feeds) conflict, causing messy overwrites and unreliable listing data.”
Real estate agents generate all listing data but have no ownership or claim on it, while third parties profit from it.
Home buyers cannot reliably filter out homes with HOAs on listing sites because HOA data is often missing or incorrect, leading to wasted time and travel.
Real estate professionals lack a simple, no-code tool to scrape listing data from multiple websites and keep it updated automatically.
Real estate agents face data fragmentation and duplication when listing properties across multiple MLS systems and portals, leading to errors, wasted time, and inconsistent information.
Real estate brokerages struggle with complex MLS feeds causing duplicate listings and delayed removal, eroding trust in listing websites.
Real estate agents are concerned that private listing data (PLN) will be shared with Zillow and accessible to buyers before agents can control the exposure.
Manually deleting property listings from multiple platforms is a hassle and agents don't bother to do it.
MLS listing integrity is compromised when multiple data sources (brokerage feeds and MLS feeds) conflict, causing messy overwrites and unreliable listing data.
Real estate agents lack a purpose-built tool to capture and retrieve ad-hoc notes and conversations from house showings.
Real estate agents lack a tool to capture and organize conversations and data from house showings for later use.
Banks' servicing departments fail to update default departments when a delinquent property has been sold, resulting in repeated, unnecessary appraisal assignments.
Identifying deceased property owners among tax-delinquent properties is inefficient and inaccurate due to data normalization challenges across multiple counties.
Manual verification of deceased property owners and chain of title is time-consuming and prone to false positives without layered cross-checking.
Identifying deceased property owners among tax-delinquent properties is manual and time-consuming.
Real estate investors waste hours daily digging through listings and manually copying numbers into spreadsheets to analyze deals.
Home buyers must browse multiple separate listing websites because no single platform aggregates all housing inventory.
Real estate brokers and agents lack clear policies to govern the use of AI tools, risking exposure of confidential client and company data and reliance on inaccurate AI outputs.
Commercial real estate professionals cannot easily find and access commercial listings because many local MLS systems do not support them or require a separate, non-integrated database.
Real estate data in the US is fragmented and hard to source in clean, structured formats without expensive enterprise contracts or full MLS access.
Struggling to determine adjustment prices beyond square footage when creating a comparable sales comparison chart for a real estate appraisal practicum project.
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