Post Amplifier – Turn Blog Posts into Personalized Social Content

Hacker News

Hi HN! I’ve just launched Post Amplifier, a tool to help content creators, marketers, and indie hackers save hours every week by transforming blog articles into ready-to-post, personalized content for LinkedIn, X, Facebook, and more—in under a minute. If you're spending 60+ minutes on every social post, you know the pain: research, writing, editing, formatting, approval, and scheduling. We automate all of that. What it does: Converts your blog posts into tailored content for multiple platforms Schedule your post on your favorite social media Use Cases: Indie hackers repurposing blog content Content teams scaling social output Solo creators building a brand We’re here to help you focus on creating great blog content—we’ll handle the social part. Try it out https://www.postamplifier.com Would love your thoughts, feedback, and questions!

Visit product View on Hacker NewsApr 23, 2025

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Launch Intel predictions

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

75%75% 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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

43%43% 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

34%34% 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 · 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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