The asymmetry
In 2019, shipping a SaaS product to production took a team of five about four months. Today a single developer can do it over a weekend. Better frameworks, managed infrastructure, and AI-assisted coding compressed the build cycle by roughly two orders of magnitude in six years.
Distribution did not compress at all.
The average early-stage SaaS founder still spends 15 to 20 hours per week on distribution. Writing posts. Sending cold emails. Managing a patchwork of tools. Guessing at what works. That time comes directly from building. And unlike code, distribution effort rarely compounds. Last week's LinkedIn post does not make this week's easier.
We built nacre.ai to fix this.
Why distribution is stuck
Distribution is stuck for a structural reason: it was never treated as infrastructure.
Consider what happened to deployment. In 2010, shipping code meant SSH-ing into a server, running a script, and hoping nothing broke. Then CI/CD tools emerged and reframed deployment as a pipeline — automated, repeatable, observable. Deployments went from a high-stress ritual to a background process. Teams that adopted CI/CD shipped faster and broke less.
Distribution today is where deployment was in 2010. Every step is manual. Every cycle starts from scratch. There is no pipeline, no automation, and no feedback loop connecting outcomes to effort.
The tools that exist were built for marketing departments. They assume you have a content calendar, a brand team, and a dedicated social media manager. If you are a two-person startup where both people write code, those assumptions are useless. You need something that connects to the work you already do and handles distribution as a side effect of building.
What nacre does
nacre.ai is a distribution engine that runs in the background of your product.
You connect it to your existing tools — your codebase, your CRM, your payment processor. nacre watches for events that signal something worth distributing: a feature shipped, a customer milestone, a performance improvement. It turns those signals into outreach — personalized emails, social content, targeted campaigns — and sends them through approval workflows you define.
Then it tracks the results. Not at the campaign level, but at the individual message level. Every reply, every click, every dollar is traced back to the exact piece of content and the exact channel that produced it.
Three things make this different from the tools you have tried before.
It starts from product activity, not from a blank page. You do not brainstorm content ideas. Your product generates distribution inputs automatically. A shipped feature becomes a proof point. A customer hitting a usage milestone becomes a case study. nacre captures these signals and turns them into outreach without requiring you to context-switch from building to marketing.
It generates channel-native content, not repurposed templates. An email to a prospect who experienced a specific pain point is fundamentally different from a LinkedIn post about the same feature. nacre generates content tailored to each channel's conventions and each recipient's context. Same underlying claim, different execution for each audience.
It preserves the full attribution chain. Most tools tell you a campaign generated some traffic. nacre tells you that a specific email, sent to a specific segment, referencing a specific proof point, generated a specific payment. That precision changes how you allocate your time. You stop guessing which distribution activity drives revenue and start knowing.
How it works
The system has four stages.
nacre connects to the tools you use daily — GitHub for releases, Stripe for payments, your CRM for customer data. It monitors for events with distribution potential and classifies them by type: feature launch, customer win, performance improvement, case study opportunity.
Each signal is transformed into outreach tailored to the channel and the recipient. An email to a power user reads differently from cold outreach to a prospect, even when both reference the same feature. You set brand voice guidelines and approval rules once. nacre applies them to every piece it produces.
Content goes out through the channels you configure — email, social, direct outreach — with scheduling that respects cadence limits and timezone targeting. Approval gates let you review anything before it sends, or auto-approve categories you trust.
Every outbound message carries tracking that maps the full path: from the originating product signal, through the specific content variant, to the channel, the session, and the conversion event. The result is a clear picture of what drives revenue and what generates noise.
What this looks like in practice
Say you merge a pull request that adds a feature your users have been requesting.
nacre detects the merge, reads the PR description and changelog entry, and identifies it as a distribution signal. It generates a set of outreach pieces: an email to users who requested the feature, a thread for X with a technical breakdown, a LinkedIn post with context on why you built it. Each piece is queued for your review. You approve them in batch — about two minutes of your time. nacre schedules and sends them across channels over the next several days.
Two weeks later, you can see exactly which pieces drove trials, which drove upgrades, and which generated zero response. That data informs the next cycle. The system gets better every time it runs.