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A way for entrepreneurs to connect with business problems to work on

Hacker News

A way for entrepreneurs to connect with business problems to work on

http://repp.herokuapp.com Originally, my partner and I built this app internally (just in the past few days) to find trends and commonalities in our customer development process in the commercial real estate industry. However, as we kept getting responses about pain points in these professionals' lives, we decided that this information would be really useful to any entrepreneur looking for problems to solve. Right now the web app is super basic with no login or authentication. It's like a basic notepad. Ultimately the question is, do you find this sort of information useful? If not, what would be useful?

Visit product View on Hacker NewsMar 5, 2012

Actual performance

54points

22comments

Made the leaderboard

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

60%60% 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.

TrustMRRFits verified-revenue profile · Strong signals: entrepreneurs, way · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% 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

26%26% 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

21%21% 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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