Open source platform to enhance your user experience. TRACARDI

Hacker News

I just released TRACARDI - an open-source platform for user and customer management under Apache 2.0 license. https://bit.ly/35d49bL It is the platform for new data-driven businesses that want to automate: * user profile management, * user marketing consents, * customer segmentation, etc. I have been working on this project and building it in public for the past 3 months. Now I think it's time to free the code and see some love and hate from the public :) Though it is maybe still a bit early but I want to see if there is any need for such a platform. I would LIVE TO READ YOUR FEEDBACK. If you like the project please follow me on twitter https://bit.ly/3uVJwLJ. I documented my development journey on YouTube channel https://bit.ly/3pbdbPR for anyone who prefers watching then reading.

Visit product View on Hacker NewsJun 10, 2021

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

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% 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 · Missing: mobile apps, ios, personal

34%34% 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

29%29% 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

12%12% 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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