How we'll measure launch success (not by upvotes)

We launch Avery NXR on Product Hunt in 6 days. July 9, 2026.

Founders talk a lot about launch metrics. Product Hunt rank. Upvote count. Comment volume. Signup numbers. These are visible, quotable, easy to compare.

They're also, in isolation, misleading.

Here's how we're actually planning to measure launch success — the metrics that matter, not just the ones that are countable.

The metrics we'll publicly report

For transparency + to help other founders who might be preparing their own launches, we'll publish our launch numbers within 48 hours of the launch closing.

Metrics we'll share (approximated for privacy but honest):

→ Product Hunt rank (Product of the Day, ranking arc through the day) → Upvotes (rounded, to protect exact numbers) → Comments + our engagement rate (% we responded to) → Website traffic (peak concurrent, total unique visitors, days-of-year multiplier) → Signup count (rounded, again for privacy) → Signup → Free Desktop download conversion → Signup source breakdown (PH, Twitter, LinkedIn, direct, other) → Top-referring content pieces → Consult Mode opt-in rate (rough %)

These will be shared honestly, including the ones that don't look impressive. Launches deserve honest reporting.

The metrics we won't publicly report (and why)

Some metrics matter to us but we'll keep them internal:

→ Exact revenue numbers. Not because we're hiding — because launch-day revenue tells you very little about product-market fit. → Specific customer names (except with explicit permission). Customer trust matters more than launch narrative. → Team compensation or specific fundraising conversations. Not relevant to product launch success. → Investor names who reached out unless the investor asks to be public.

Transparency is good. Discretion about specific people's private choices is also good. Both matter.

The metrics that matter more than the public ones

Here's what we're actually optimizing for on July 9:

1. Conversations that shift from "considering" to "committed."

Number of prospect conversations that meaningfully advance during launch week. This is the leading indicator of Q3 revenue. Public metrics don't tell you this.

2. Skeptic conversions.

Number of publicly visible people who came into the launch skeptical + left convinced. Comment threads where a critic engages, we respond, and they update their view.

Skeptic conversions are more valuable than fan celebrations. They shift more people watching in the background.

3. Depth of engagement, not just count.

A single comment where someone writes 200+ words about how they'll use Avery > 20 casual "great job" comments. We'll report engagement depth, not just volume.

4. Content compounding evidence.

How many launch day visitors reference specific blog posts or Twitter threads we wrote weeks/months ago? This tells us whether the content library is working.

5. Waitlist-to-signup conversion.

The people who joined our waitlist over the past 90 days — how many actually converted on launch day? This tells us whether we built anticipation correctly.

The metrics that matter more than launch day itself

Even the launch-day metrics are less important than what happens after:

Week 1 post-launch: → Customer conversations converted from launch signups → Free Desktop → Pro conversions in the first 7 days → Support ticket volume + quality → Second-touch content engagement (do people come back to read more?)

Week 4 post-launch: → Customer retention (are Week 1 signups still using it?) → Deep-usage indicators (are they building real agents, not just experimenting?) → Word-of-mouth signals (are Week 1 customers telling others?)

Month 3 post-launch: → Revenue trajectory → Product-market fit signals → The "we can't imagine going back" test with early customers

Launch day is a snapshot. These downstream metrics are the actual story.

The scenarios we're preparing for

We have three planning scenarios:

Scenario A: Beyond expectations.

Top 3 Product of the Day. 500+ signups. Multiple press pieces convert to coverage. Investor conversations accelerate. Enterprise pilots move quickly.

This scenario is possible but not our default plan.

Scenario B: On target.

Top 10 Product of the Day. 200-400 signups. Some press coverage. Steady investor + enterprise pipeline motion. Real customer conversations start.

This is our baseline plan.

Scenario C: Below expectations.

Outside top 10. Under 150 signups. Press coverage limited. Slower initial momentum.

We're prepared for this too. The plan for C is: keep publishing, keep engaging with the audience that did show up, treat the launch as one of many marketing moments rather than the marketing moment.

None of these scenarios are "failure." Launch is one input to a longer-arc business.

What we're NOT planning to measure

Some things we're not chasing:

→ Vanity ranks in tangential categories. Being #1 in "AI Tools" this week ≠ meaningful. We only care about our actual buyers finding us. → Twitter/X impression counts. Impressions ≠ interest. Signups > impressions. → LinkedIn celebrity engagement. A CEO reposting us feels great but usually doesn't convert to customers. → Press outlet count. One good customer-focused piece > five superficial "AI startup launches" articles.

If we accidentally optimize for these, we'll miss what actually matters.

The single metric that captures most of it

If I had to pick ONE number to characterize launch success post-hoc, it would be this:

Number of new customers who are still actively using Avery 30 days after signing up on launch day.

Not upvotes. Not signups. Not press. Not rank.

Actively-using-30-days-later.

That number tells you: did the product work for them, did the onboarding work, did they get value, did they stay?

It's the metric that's hardest to inflate. And it's the metric that predicts everything downstream.

We won't know that number on July 9. We'll know by August 9. That's the number I'll actually be watching.

For founders preparing your own launches

Two pieces of advice from where I'm sitting at T-6:

1. Decide your success metrics BEFORE launch day, not after.

Post-launch, there's a temptation to re-frame metrics to make the launch look better. Predetermine what "good" looks like before you know what actually happened. Then be honest.

2. Publish your numbers honestly, including the disappointing ones.

The founder community benefits from honest reporting. Curated launch numbers help nobody. When you share the truth, you build credibility + help others plan better.

Six days out

Six days from now we'll know how July 9 went publicly.

Six weeks from now we'll know how it actually went — for the customers who signed up, for the business we're building, for the audience we've cultivated.

Metrics matter. But some metrics matter later than others.

Plan for the ones that matter later. Report the ones that matter now.

→ avery.software — launching Product Hunt July 9. Get the alert: producthunt.com/products/avery-nxr?launch=avery-3