Fakehn

Fakehn is a valuable tool that lets you test run potential responses to your submissions on Hacker News, helping you anticipate community feedback before making an actual submission. By providing insights into potential engagement and response, Fakehn enables you to fine-tune your post based on estimated community reaction before officially sharing it.

The focus on feedback preview rather than specific analytics makes Fakehn a useful asset for optimizing engagement on the platform. In the near future, the tool plans to incorporate URL support, which will facilitate including web links within test runs.

For further inquiries or support, you can reach out to the creators, Justin and Michael, through their respective Twitter profiles. Use Fakehn to optimize your engagement on Hacker News by estimating how your post might be received and adjusting it accordingly.