I built a way to turn Git commits into engaging tweets

Hacker News

Hey HN! For a long time I felt trapped in a frustrating loop. I spent so much time and effort building my products, watching them come together step by step — only to realize no one even knew they existed. The marketing wall. I know many of you have been there. No engagement, no feedback, no potential customers. A huge effort that risks falling into oblivion. And the solution? "Build a following on Twitter!" they tell you. But when do you find the time between debugging and a new feature? That's why I decided to solve this problem once and for all, I built Pushpost. Think about it: every commit you make is a small, but significant, story of your work. It's a step forward, a solution to a problem, a new feature. Why not turn these progress points into something the world can see and appreciate? Pushpost takes your Git commit messages and automatically converts them into engaging, ready-to-post content for X (Twitter). Yes, you heard that right. While you're immersed in your development environment, focused on what you do best, Pushpost works in the background for you. Every meaningful commit becomes an opportunity to: - Show your progress: Share what you're building in real-time. - Generate engagement: Spark conversations around your work and niche. - Build an audience: Attract people interested in your projects and skills. - Stay consistent on X: Finally, you won't have to worry about "posting consistency" anymore. It'll be almost automatic! This isn't about masking your commitment to marketing, but about integrating your actual work with building your personal brand. Stop feeling like marketing "steals" precious time from coding. From now, your commits are your marketing. I'm excited to hear your feedback.

Visit product View on Hacker NewsMay 27, 2025

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

95%95% 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: new, coding · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% 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

13%13% 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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