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I Built DraftAI – An AI-Powered Writing Assistant for LinkedIn Messages

Hacker News

I Built DraftAI – An AI-Powered Writing Assistant for LinkedIn Messages

Hey HN, I built DraftAI, a chrome extension to help with LinkedIn messaging. I made it because I found myself overthinking LinkedIn replies, especially for networking, recruiter messages, or connection requests. Sometimes you want to be polite but not robotic, or friendly but not too casual. DraftAI helps by generating quick, context-aware responses so you don’t have to start from scratch. It’s still a work in progress, so I’d love to hear your thoughts. What would make this actually useful for you? Try it out: http://draftai.io/ Cheers!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
75%75% 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 · Strong signals: context · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive
46%46% 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
34%34% predicted probability of success on TrustMRR, 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
22%22% 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
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
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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