PrivatePing: Secure End-to-End Encrypted Open-Source Messaging Platform

Hacker News

PrivatePing: Secure End-to-End Encrypted Open-source Messaging Platform. Attention developers! We're thrilled to unveil PrivatePing, a robust messaging application built on Python's Django framework. With end-to-end encryption at its core, PrivatePing ensures your messages stay confidential and secure. Key Features: End-to-End Encryption No Message Storage Anonymous Login Secure Authentication Getting Started: Visit PrivatePing. Sign up or use anonymous direct login. Share your username with friends. Start exchanging encrypted messages securely! Feel free to use, modify, and contribute! Experience the peace of mind that comes with secure messaging. Try PrivatePing today and share your reviews with us!

Visit product View on Hacker NewsMar 13, 2024

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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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