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Mixedcrm.com Real Estate sales and automation CRM

Hacker News

Mixedcrm.com Real Estate sales and automation CRM

Hi HN, I've built this new tool that helps property developers sell their units simultaneously and simplifies the generation of documents (sales offers/ purchase agreements etc ..) it has also some basic activity tracking, access control and import/export features. This was built using Flask, Vue/Vuetify, Postgresql, and websockets. I have multiple clients who are very happy with this service and decided to extend it further. Feel free to drop me any questions you may have. Demo link: https://demo.mixedcrm.com Best,

Visit product View on Hacker NewsOct 7, 2021

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

80%80% 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: new, activity, using · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, 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.

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

33%33% 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

18%18% 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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