Redplus – A browser extension for better Reddit marketing

Hacker News

Hi HN! I built Redplus to help developers and creators better monitor and engage with Reddit discussions. It's a free browser extension that combines keyword monitoring with AI assistance. Core features: - Automated keyword monitoring across Reddit - AI-powered relevant response suggestions The tool was born from my own need to efficiently track and engage in relevant Reddit discussions about my projects. It aims to help creators participate in conversations more effectively while maintaining authentic engagement. Try it out: https://redplus.ai Looking forward to your feedback and suggestions!

Visit product View on Hacker NewsDec 26, 2024

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Actual performance

2points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: efficiently · 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.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

60%60% 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

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% 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

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

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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