Don't launch blind. Score your Show HN draft before it gets buried in /newest.

One weak title or the wrong posting window can waste weeks of work. This predictor analyzes your launch details and gives you a probability score plus concrete fixes to improve your odds before you submit.

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What you get instantly

Predicted front-page probability

62% → 81%

after title + timing optimization

Best posting windows

by UTC and launch day

Feature-level scorecard

title, content, fit, traction

Why Show HN launches fail

Weak first impression

Vague titles don't earn clicks from power users scanning the feed. If nobody opens your post quickly, ranking stalls.

Bad timing

Even excellent projects die when posted in low-liquidity hours. Early momentum matters more than total quality.

No technical proof

HN rewards builders who show implementation depth. Missing demo/repo links reduce trust and upvotes.

How the predictor helps

Step 1

Paste your launch draft

Title, description, project type, and planned posting time.

Step 2

Model scores launch quality

You get front-page probability and factor-level diagnostics instantly.

Step 3

Fix the weak spots

Use targeted suggestions to improve title clarity, timing, and credibility signals.

Simple pricing for builders shipping fast

One plan, no setup friction. Use Stripe hosted checkout and unlock the predictor immediately after purchase.

Developer Tools Plan

$9/month

Built for solo founders shipping dev tools, APIs, and side projects who want a real chance at front-page distribution.

Unlimited Show HN score predictions

Best posting-time windows by timezone

Title rewrite suggestions from model factors

Content readiness checks for technical audiences

Launch-day checklist tuned for Hacker News

Buy Access on Stripe

FAQ

How is this different from generic writing tools?

This model is tuned specifically for Show HN dynamics: title framing, technical credibility signals, and timing windows where early velocity compounds into front-page placement.

What does the score actually represent?

It is a calibrated probability estimate based on feature weighting from historical Show HN outcomes, then adjusted by your exact launch details like timing, demo readiness, and title quality.

Can this guarantee a front-page hit?

No model can guarantee ranking, but it can prevent avoidable mistakes that kill early traction. Most users improve score 10-25 points after two editing passes.

Who is this built for?

Solo founders and small dev teams launching developer tools, APIs, infra products, or technical side projects to Hacker News.

Ship once. Launch with leverage.

You already did the hard part and built the product. Use the predictor to package it for the audience that can actually amplify it.

Analyze My Show HN