ColdMessageAI – AI Chrome Extension to Send Personalized Cold Messages

Hacker News

Inspired by Autotab's post. ColdMessageAI is a chrome extension which helps you write hyper personalized cold messages on linkedin. Here's a demo: https://youtu.be/MRQWbVcexSc 1. It's completely Free. No freemium or anything. 2. It connects with you ChatGPT session in the browser. So no need to pay for GPT Tokens. 3. Open Source: https://github.com/prakhar897/ColdMessageAI You can write your message inside the prompt field, and it will automatically convert it to something coherent and personal. Love to know your thoughts!! Try it out here: https://chrome.google.com/webstore/detail/coldmessageai-for-linkedi/abbbgckfinjdbndjjjlpkkkoefklnaih?hl=en&authuser=0

Visit product View on Hacker NewsOct 23, 2023

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

76%76% 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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% 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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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