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SafeRate – AI chat-native mortgage lender

Hacker News

SafeRate – AI chat-native mortgage lender

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 should be able to share your relevant details anonymously and get real pricing. You should know how competitive the offer is before speaking with someone. And you should still be able to connect with a human if you need support. So we've built a suite of tools in our AI chat to put shoppers in control: 1. Instant mortgage quoting without sharing any sensitive data (currently live for conventional loans in Illinois) 2. Automatically review a Loan Estimate, which every lender must provide you by law, and see how the estimate scores (0 to 100, benchmarked against 2 million loans). We then can make an instant competing offer so you know if we can save you money. 3. For refinances, share a mortgage statement to see if you can save money today, and if not, create a personalized tracker so you can be notified when rates have fallen 4. Mortgage Q&A for commonly asked mortgage questions. Still lots more to add! 5. Live - a Zoom-like call for mortgage shopping that instantly connects you with a loan officer while our AI assistant listens in, updates the quote details, and gets you pricing We support this functionality in a variety of ways: 1. Chat on https://saferate.com 2. Email at buddy@saferate.ai 3. Live via our Zoom-like call tailored to mortgage shopping 4. Slackbot (please ask if you're interested in access) 5. Phone 1(888)850-6123 6. Coming soon RCS, SMS, and WhatsApp Our chats are universal, so you can start with email and then transition to web chat, or vice versa, and it will retain the full context. And we've built our chat to be embeddable on any other website via an iframe. Safe Rate's main chat is actually an embedded iframe itself. And because we can't be wrong when giving a mortgage quote (regulation!) we've designed our AI so it does not hallucinate. Here’s a 90 second demo video that shows this in action: https://youtu.be/6eIJukspmfU You can also see a sample Live session: https://youtu.be/alAPtjUJ5xE We're posting here today because any testing or feedback would be a great help. We're able to join the Live Call if you're brave enough (in addition to building this system ourselves, we're also licensed loan officers). And our quotes are only valid for Illinois with a max loan size of $806,500. We hope to expand nationally soon. Thanks!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: slack, email, context · Missing: mac, agents, macos
81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: soon, calls · Missing: plus, platform, intuitive
53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, video, way · Missing: mobile apps, ios, entrepreneurs
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, finances · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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