Introducing nacre.ai: Automated Distribution Engine for the AI Era

Building great software has never been faster. Getting that software in front of the right customers — repeatedly, predictably, and with clear attribution — is still far too hard. nacre.ai exists to change that.

Why now

AI multiplied the speed at which high‑quality product can be built, but distribution tooling didn’t keep up. Teams stitch together CRMs, email tools, analytics, social schedulers, attribution hacks, and a dozen custom scripts. The result is fragile loops, inconsistent messaging, and hand‑wavy attribution.

We’re making the distribution engine as programmable and reliable as your CI.

What nacre.ai is

nacre.ai is an automated distribution engine. It turns product signals into channel‑native assets, orchestrates delivery across touchpoints, and attributes outcomes back to the proof and message that caused them. Builders stay focused on shipping; nacre compounds the reach.

Core principles

• Developer‑centric: Declarative pipelines, sane defaults, zero busywork. If you know git and PRs, you can run nacre.
• Evidence‑first: Every message anchors to a proof — demo, benchmark, user quote, release. No fluff.
• Attribution you can defend: We preserve the causal chain across channels from first touch to revenue, not just a last‑click mirage.
• Privacy & respect: Clear boundaries, secure data paths, no dark patterns.

Architecture at a glance

1. Ingest signals: releases, PRs, changelogs, user stories, screenshots, telemetry.
2. Synthesize proofs: crisp artifacts that back a claim (demo clip, chart, snippet).
3. Generate channel‑native assets: threads for X, carousels for LinkedIn, long‑form for blog, snippets for email.
4. Publish with cadence and guardrails: calendars, approvals, brand rules.
5. Attribute outcomes: map clicks, replies, demos, and revenue to the originating proof + message.
6. Learn: feed winning themes and formats back into the pipeline.

What you can do today

Automated content pipelines

Connect repos and docs; nacre converts releases and PRs into channel‑native updates. Keep one source of truth and let the engine fan it out.

Distribution loop automation

Define your loop (proof → message → CTA → next step). nacre executes and measures it across channels without manual orchestration.

Clean, defensible attribution

See which proof, message, and channel combination actually drove the session or dollar. Make fewer bets, with higher confidence.

Example loops

• Ship: “Webhook retries with backoff.”
  • Proof: short demo showing retries and jitter.
  • Messages: 4‑tweet thread, 1 LinkedIn carousel, 1 blog section, 1 doc update, 1 email snippet.
  • CTA: “Start free”; secondary “Docs: retries”.
• Customer story: “2× activation in 14 days.”
  • Proof: anonymized chart + quote.
  • Messages: carousel + blog narrative + X summary.
  • CTA: “Book a demo”.

Security and governance

• Least‑privilege integrations; revocable tokens; audit trail on outbound.
• Redaction of secrets in artifacts; human‑in‑the‑loop approvals where needed.
• Clear separation between private telemetry and public artifacts.

Roadmap highlights

• Multi‑brand orchestration per workspace
• On‑call safe mode (pause outbound on incidents)
• First‑party analytics adapters (PostHog, GA4, Segment)

Closing

Distribution is an engineering problem. Treat it with the same rigor you apply to CI/CD and the returns compound. nacre.ai makes that rigor practical.

Want early access? Join the waitlist and we’ll onboard you as we scale access.