...by AI
The market has seen several mediocre solutions that nobody loves. Unless you can offer something fundamentally different, you’ll likely struggle to stand out or make money.
Don't build it.
You're entering a crowded space with your AI-powered real estate report generator and property organizer. The "Swamp" category isn't encouraging, and with 21 similar products already out there, it's clear that standing out will be tough. Engagement with these similar products is low, with an average of only 3 comments per product launch. This suggests it's a challenge to capture user interest and that most product launches in this category are not memorable or successful. Since we don't have strong positive signals for 'use' or 'buy' from comparable products, it's difficult to gauge the demand. Given the mediocre success of similar solutions, be prepared to face significant headwinds and competition. Unless you offer something radically different or target an underserved niche, achieving profitability and recognition will be an uphill battle. Proceed with extreme caution and a clear understanding of the risks involved.
You're entering a crowded space with your AI-powered real estate report generator and property organizer. The "Swamp" category isn't encouraging, and with 21 similar products already out there, it's clear that standing out will be tough. Engagement with these similar products is low, with an average of only 3 comments per product launch. This suggests it's a challenge to capture user interest and that most product launches in this category are not memorable or successful. Since we don't have strong positive signals for 'use' or 'buy' from comparable products, it's difficult to gauge the demand. Given the mediocre success of similar solutions, be prepared to face significant headwinds and competition. Unless you offer something radically different or target an underserved niche, achieving profitability and recognition will be an uphill battle. Proceed with extreme caution and a clear understanding of the risks involved.
An AI-powered approach transforms how you do property inventory inspections and reports with organised, transparent, and efficient.
Rea turbocharges your investing journey with AI. Simply uploading the the property data like MLS data sheet, Rea offers rapid, in-depth analysis of properties in minutes.
Strata Reports turns complex condo documents into comprehensive insights with AI, helping buyers and real estate professionals make informed decisions.
While LLMs like ChatGPT have revolutionized content creation, they still cannot create factual and visually-appealing data-intensive content that many industries such as real estate brokers, consultants or financial advisors need. With Dataherald AI (https://www.dataherald.com/sign-up), we made a technical preview of a tool that can automate the creation of data-intensive content for real estate professionals. Users can enter their queries and questions in a prompt-based interface about real estate market trends and the system returns factual text and accompanying data visualizations. The core engine works in three steps:1- Extract intent and entities from the user prompt (the metric they want, date ranges and location)2- Query structured data from various sources in our data warehouses3- Construct the final text and accompanying data visualization.In the first iterations we trained our model for the extraction step and used templated SQL with variables for entities in step 2. However with the release of GPT-4 and rapid development of LangChain we soon migrated to building on the LangChain framework and relying on GPT-4 to write SQL on the fly. From LangChain we use PromptTemplates, Memory, Example Selectors and Chains heavily. The three steps described above eventually became three chains we built and optimized.Overall we love Langchain. It allowed us to release quickly and leverage abstractions which cleaned up our code. One of the best parts about building on LangChain is the active community on Discord. However it is a sprawling framework and some components still do not seem ready for use in production. For example, we gave up on using SQLAgent pretty early on since it failed some easy testing.Some of the other challenges we faced: - GPT-4 is very slow and in our experience GPT3.5–turbo does not work well for building complex SQL queries on the fly. As a result the three chains currently take an average of 27s to produce an answer unless it is already cached.- When working with SQL results and structured datasets, you quickly hit the token limit when passing the SQL results to the LLM. We did not have access to the 32K context window, so once that is rolled out this should be less of a concern.- How to test? There does not seem to be many QA tools for LLM applications. We ended up building our own solutions to score generated content and flag low scores so we can add examples to our prompts.Looking forward to the next few weeks, we plan on delivering the following:1- Templates that allow users to create content that is optimized for blog posts and social media posts out of the box.2- Fix some limitations in prompts we can handle. You currently can’t compare across geo types (city with national trends).3- Add more datasets covering neighborhood level data.4- Add more chart and map types and viz customization featuresWould love to hear the community's thoughts. Are there tools or approaches that we should have considered? Does anyone use Langchain’s SQLAgent in production? Know any real estate professionals we should talk to?
Dataherald AI automates data-intensive content for real estate.
GPT-4 slow, GPT-3.5-turbo fails complex SQL, token limit issues.
Designed for busy realtors, our AI tool delivers fast and accurate real estate descriptions for your property listings. Upload images or provide a draft, and let AI do the rest.
Users experienced issues with form validation, reporting fields being marked as forgotten when they were not, and encountering daily limits. There were positive comments including encouragement, good luck wishes with emojis, compliments on the product's construction, and expressed excitement. Users highlight the AI tool's ability to quickly and accurately generate real estate descriptions, with one user describing it as 'pretty darn cool!' and congratulating the team.
Users criticized the product launch for having a form that incorrectly flagged missing fields. Additionally, some users reported that they quickly reached the daily limit, suggesting the limit was too restrictive or the product was in high demand but lacked sufficient capacity.
We offer the power to transform Real Estate content into captivating narratives with AI powered content generation tool. We empower investor's decisions, and make them stay ahead in real estate market with AI driven real estate predictions and insights.
PropGenius.ai is an AI platform for real estate, offering automated content generation. Users praise its ability to quickly generate real estate social media posts. The product descriptions are well-written, and it's considered one of the best content generation solutions in the real estate sector.
