Convert your MySQL database into an open source CRM – IceburgCRM.com

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A few months ago I released an open source CRM called iceburgcrm (iceburg.ca). It allows developers to quickly prototype a CRM while providing a sensible default crm using modern languages and frameworks. It's based on Laravel 10, Tailwinds, DaisyUI but mostly written in Vue3. Today I want to let everyone know about the platform iceburgcrm.com, which provides a playground area to play around with iceburgcrm without having to install a copy yourself. Convert your MySQL to IceburgCRM: iceburgcrm.com Get your own copy of IceburgCRM hosted with us. Upload your MySQL Schema and we will turn it into a CRM. Connect your MySQL Database and we will turn your tables and fields into crm modules. Give it a try, experiment and see if iceburgcrm is right for your next project. You get two live CRMs to play with and can delete and recreate new crms.

Visit product View on Hacker NewsMar 15, 2023

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

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, open · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

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

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews

33%33% 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

16%16% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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