Alternatives
Products that do what SafeRate – AI chat-native mortgage lender does
Hi HN, Dylan and Shima here. Today we're launching the first version of our project, Safe Rate, an AI-native mortgage lender going all in on the chat experience, at saferate.com. Mortgage shopping is an uncomfortable experience. You have to share lots of sensitive data to get a single quote, and if you want to comparison shop, the rate aggregator websites straight up sell your data, so you end up with a lot of texts, emails, and phone calls from salespeople you've never met asking you to blindly trust them with a big financial decision. Getting a mortgage quote should be on your terms. You…
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A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents. Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my…
2025 · github.com
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Turn mortgage website traffic into qualified leads
May 2026 · mortgage50.net
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Hello HN, We are Pebble Finance! Our newly launched product offers a custom indexing solution, empowering investors to personalize their investment portfolios. # The product What our product is now: We are creating a platform for users to use natural language to search for their interests and personalize their portfolio. Search is a combination of using OpenAI LLM models with Langchain, OpenSearch index, and some traditional NLP techniques. Search is divided into several tools which are selected based on the user’s input query. Based on the complexity of the input query, a single tool or a…
2023 · pebble.finance
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Mortgage decision engine for smarter home buying
May 2026 · ournethelps.com
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Most mortgage processing delays aren’t due to risk — they’re due to manual workflows. We’ve been working on SimplAI, an AI-driven system designed for banking and financial services, starting with mortgage operations. The problem we kept seeing: 15–22 day processing timelines Heavy manual document handling (500+ pages per loan) Repetitive data entry + verification loops Underwriters spending hours on non-decision work So we built a set of AI agents that handle the operational layer: Document AI (IDP) → classifies + extracts data from loan docs in minutes Income analysis models → parse tax…
Mar 2026 · app.simplai.ai
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Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…
Jul 2026 · github.com
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Hey HN! Today I'm launching Pane, a tool that gives AI context on your financial data. Once connected, any MCP-compatible client (Claude, Cursor, ChatGPT, etc.) can answer questions like: - "What did I spend on food this month?" - "What's my net worth right now?" - "Show me my recurring subscriptions" - "How much do I owe across all credit cards?" - "What are my investment holdings?" It's been really transformative in helping me and some of my friends understand their finances, where they are overspending, or even being double billed in some cases. I'm very aware that this is a somewhat…
Mar 2026 · pane.money
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Hey HN, I'm Steve, co-founder of Factor.fyi, a new data platform for querying and visualizing financial datasets using SQL. During the pandemic, I took much more of an active role in managing my portfolio. I wanted to be able to make informed decisions about the investments I was making, and explore financial data in new ways. Market and Econ data are some of the most talked-about and widely-available datasets out there, but I was frustrated by the lack of options to answer questions I had, like, "What would have happened if I had started dollar-cost averaging VTI back in 2013?"[1] Or, "How…
2022 · factor.fyi
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Hey HN, we are long time members of this community, and we’d love to share a new product we’re launching today called Text-a-Pro. The product is entirely messaging based, and allows homeowners to book trusted pros at flat-rate prices to get their home improvement projects done. We’re also the first to provide an end-to-end transaction on Facebook Messenger (and also by texting 776-776). We’ve built a lot of tech behind the scenes for this – including generating dynamic images at run-time for things like personalized estimates and pro recommendations. Our pricing engine is built on a…
2015
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Hi HN! A few years ago, I had a tough time buying a home in a competitive market where listings were scarce. I kept wondering—why isn’t there a simple way to contact a homeowner directly to ask if they’re interested in selling? So a friend and I built Hown, an app that lets buyers message any homeowner, creating a way to buy and sell houses outside the real estate market (sorry, US only for now). The app is for: -Homeowners who might be open to selling but aren’t ready to list. -Buyers who want to express interest in homes before they hit the market. -House enthusiasts who just enjoy…
2025 · hown.app
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