Show HN: Testing HN titles against a neural network
Current top 10:<p>1. "Apple introduces 16-inch MacBook Pro, the world’s best pro notebook" Bad: 0.9964 - Good: 0.0038<p>2. "Developing open-source FPGA tools" Bad: 0.3381 - Good: 0.6652<p>3. "Show HN: Can a neural network predict if your HN post title will get up votes?" Bad: 0.0598 - Good: 0.9307<p>4. "How internet ads work" Bad: 1.0000 - Good: 0.0000<p>5. "More Intel speculative execution vulnerabilities" Bad: 0.7413 - Good: 0.2306<p>6. "OpenSwiftUI – An Open Source Re-Implementation of SwiftUI" Bad: 0.9994 - Good: 0.0005<p>7. "How VCs Make Money" Bad: 0.9997 - Good: 0.0003<p>8. "OpenBSD: Why and How (2016)" Bad: 0.9988 - Good: 0.0013<p>9. "The Perl Master Plan: How to Put Perl Back on Top" Bad: 0.9997 - Good: 0.0003<p>10. "Jerry (YC S17) Is Hiring Senior Software Developers (Toronto)" Bad: 0.3142 - Good: 0.6800<p>So all in all, only 3 of today's top 10 had good titles... Either the titles <i>could have been better</i> but the content was too interesting, or this tool has very low recall.