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Buy Partial Real Estate with Credit Card

Hacker News

Buy Partial Real Estate with Credit Card

Founder of AlphaCap [1] here, we built a simple tool that allows anyone to buy real estate and immediately start receiving monthly rental income. We encountered a problem in the form of an endless wall of paperwork when trying to buy real estate for investment purposes. Real estate industry is still pretty outdated, there are still real estate agents who charge 3% to represent the seller and another 3% to represent the buyer, there are technology platforms like Redfin that are trying to tackle that particular challenge by charging 1% and hiring a salaried employee to represent the buyer/seller. However, buying a percentage ownership in a property still remains a difficult problem. We strive to build a platform to connect interested buyers/investors with each other to raise enough capital to purchase a property together. This way if a property is a great investment, but you don't have enough money to cover the full purchase price you can use our platform to buy a percentage of that property and allow others to invest in the remaining equity. You will then receive your share of the rental income + appreciation on your equity ownership over time. I want to thank everyone in advance for providing feedback and looking forward to hearing your thoughts and any concerns. [1] https://alphacap.ai

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
59%59% 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: io · Missing: https docs, excited, just released
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, monthly, way · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: agents, agent · Missing: mac, macos, cursor
25%25% 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
17%17% 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.

Incorrect prediction on native model

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