I built our SEO workflow into a simple tool for small dev teams

Hacker News

After using this SEO content generation workflow for 2 months, I spent a week turning it into a simple tool that's now publicly available. Postie assists small dev teams create SEO-optimized blog content with minimal effort. Currently free and offering these features: - Project-based context awareness: It understands your project's background to maintain accuracy - Built-in keyword research: Data-driven SEO suggestions - Human-in-the-loop workflow: Not just AI generation, but proper review/edit cycles - MDX export: Direct integration with your existing tech stack - Batch generation: Create multiple posts in parallel Would love to hear any feedback!

Visit product View on Hacker NewsNov 26, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: context, using · Missing: mac, agents, macos

83%83% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

46%46% 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: month, para · Missing: mobile apps, ios, personal

31%31% 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

18%18% 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.

Incorrect prediction on native model

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