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Reimagine any home for sale – your AI powered interior designer

Hacker News

Reimagine any home for sale – your AI powered interior designer

Meet HomeByte (<https://homebyte.com>) - your partner in the home buying quest. We aim to be a better way to browse and find homes than on Zillow / Redfin. We are available in 23 states today and are adding more every month. We just launched Reimagine – an AI powered interior designer that allows users to experiment with different styles to transform any room. With this feature, one can visualize a living room in an industrial style or a kitchen in a rustic lodge style, among others. This makes it easy for anyone to explore the potential of a home they are considering buying. To get started, you can: - Search for homes in your favorite neighborhood or city here - <https://homebyte.com/c/search> and click on the Purple “Reimagine this home” button on the home card. - On homebyte.com, specify the address for any home that’s listed for sale. This will load the listing page and you can now click on the Purple “Reimagine this home”. Example: <https://homebyte.com/search/details/2954-23rd-st-san-francisco-ca-94110/29510733> Here are some room transformation examples (<https://homebyte.com/reimagine/examples>) by Reimagine, and here’s what other folks are doing with Reimagine - <https://homebyte.com/reimagine>. If you’d like to do this for your own home - head to <https://homebyte.com/reimagine/new> and upload your photos and Reimagine away! We’d love to hear what you think and how we can make it better - you can either leave a comment here or write to us at founders@homebyte.com. We’re excited about the new AI powered features we’re adding to HomeByte. Stay tuned and thank you for your support!

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
79%79% 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.
Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month, visualize, users · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, visual · Missing: mac, agents, macos
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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