RipBroker – Find Flats and Flatmates Nearby You

Hacker News

Hi Everyone, I built a website to make finding flats and flatmates super easy! You can post your properties or create a request for a place that matches your needs. No need to juggle multiple Facebook or Telegram groups or subreddits. Our site has filters and sorting options (by price, location, gender, etc.) to help you find exactly what you're looking for. The standout feature? Location-based searching! Just enter any landmark available on Google Maps, apply additional filters and sorting, and get nearby tailored results that fit your preferences. We prioritized privacy: you can browse without logging in, and a phone number is optional when creating an account. It's completely free, with no limits on how many contacts you can make. We hope you love our project! We're considering adding a "Support Us" page to help cover server costs. Would love to hear your feedback!

Visit product View on Hacker NewsAug 23, 2025

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Actual performance

1points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

57%57% 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 NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

48%48% 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: google · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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 · 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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