{AI Marketing Playbook}

the payoff

The Brevis plan

A channel-by-channel playbook for launching both AI products, grouped by phase and ordered by priority. Priority follows the evidence: each channel's hit rate and breakout share across the 112 cases, weighted by effort. The rule: run everything that is high value or low effort, and skip only what is both low value and hard. The five phases run in sequence; within each, items run highest priority first. Where the products diverge, the AutoResearch and ARCA notes say how.

Do first foundational High high value Medium worth doing Easy win cheap, just do it BD / DevRel not marketing-owned Skip low value and hard
1

Owned surfaces

The surfaces you control. Stand these up before any announcement; the repo and the result are what every channel below points back to.

Do first
Well-documented GitHub repo

The one distribution surface everyone uses, and your real landing page. The README is the pitch: result up top, one-command install, reproducible benchmark. 97% of cases

AutoResearchthe open benchmark harness and kernels
ARCAthe SDK, task format, and sample tasks
Do first
Landing page

One page, the headline result above the fold.

AutoResearchthe cost-and-speedup number ($3k, ~2 weeks, ~4x)
ARCAwhat contributors work on and what they earn
Do first
Docs that double as SEO

Documentation is both onboarding and the most-used owned growth channel. Write for the exact questions developers search. docs-as-SEO 79%

Do first
Company blog

The most common owned channel and launch venue. Home for the launch post and every deep-dive after. 83% owned / 62% launch

High
X accounts: brand and Alan

Set up both now. Alan posting personally carries more with this audience than the brand handle. 75% brand / 70% founder

High
One-line install

Make first use frictionless. PyPI 64%

AutoResearchpip install
ARCAan installable SDK or API client
Easy win
Discord or community space

Somewhere users land and stick. Can start minimal. 69% run one

Easy win
LinkedIn page

Low effort, and a free cross-post target later. 57% run one

2

The launch

Fire these the week you go public, in this order. Most carry the same headline and asset.

Top
Show HN, pain-first and number-first

Lead with the falsifiable result. If the first post is flat, repost with a sharper headline: Unsloth went 3 to 385 points doing exactly that. 52% launch / 17% breakout

AutoResearchthe benchmark headline
ARCAthe offer ("we pay expert devs to ...")
Top
Founder / Alan X post with a demo

A single strong demo travels: Devin launched on a video that hit 31.4M views. Pair the post with a short capture or the hero number. 24% launch / demo tactic 29%

AutoResearcha 30-second capture of the agent finding a speedup, plus the number
ARCAthe offer and a real contributor result
Easy win
Reddit cross-posts

Near-zero effort: cross-post the same Show HN or X content. Marginal alone, free to add. 6% launch

AutoResearchr/MachineLearning, r/LocalLLaMA, r/CUDA
ARCAthe domain and language subs your experts read
High (AR)
arXiv or technical writeup

The citable, credible version of the method and result. 21% launched with a paper

AutoResearchyes, anchor the benchmark
ARCAonly if there is a genuine research result
Easy win
Product Hunt

Low effort, marginal value. Schedule it the same week. 12% used it

Easy win
LinkedIn post

Cross-post the launch; costs nothing. 12% used it

3

Amplification

You cannot force a share, but a result worth sharing earns one. Pursue in this order.

Top
Tech press

The top amplifier by far. Pitch a falsifiable result, not a funding line. 71% landed a piece

AutoResearchthe cost-and-benchmark story (TechCrunch, VentureBeat, The New Stack, Ars)
ARCAthe marketplace and data-quality story
High
Peer founders and named voices

Get the result in front of them; you control the number, not the repost. Recurring names: swyx / Latent Space, Simon Willison, Karpathy, Andrew Ng. 38% peer founder / swyx 12%

Medium
AI-lab and big-company accounts

Usually earned by being useful to a model or hardware launch (see the recurring engine), not by asking. 24%

Easy win
Newsletters

Cheap to submit; do it for every milestone. AlphaSignal, TLDR, and peers. 15%

Medium
Podcasts

Good for founder credibility. After launch, not during. Latent Space and peers. 14%

Easy win
Awesome-lists and directories

Small but compounding. Get listed wherever your category lives. low effort

4

Get embedded

The single biggest breakout in the data, but a product and partnership decision, not a marketing campaign. Flag it for Michael, DevRel, and BD. Marketing's job is to make saying yes easy.

Marketing
Make integration trivial

A clean SDK, an OpenAI-compatible endpoint, drop-in docs, and a one-line install, so a partner can ship in an afternoon. OpenAI-compatible 25%

BD / DevRel
Embed where you become a default

Aim for high-traffic hosts, not long-tail directories. Being one option among fifty does little; being the default inside something people already run is the breakout. distribution-by-integration 26%

AutoResearcha default in the Hugging Face ecosystem, major inference and training frameworks, and benchmark suites (KernelBench); results exposed via API or MCP
ARCAa listed data source inside the training and eval pipelines buyers run; on supply, where expert contributors already work
5

The recurring engine

The ongoing work after launch, on a cadence. This is what separates a one-week spike from a standard.

Weekly
Post benchmarks and progress

Build in public on a steady cadence from Alan and the brand account. Yes, tweet regularly. build-in-public 35% / milestone 79%

AutoResearcheach new speedup, hardware target, or domain is a post (hero benchmark 45%)
ARCAquality and outcome metrics: a model trained on ARCA data hit X, plus payout and volume numbers
Continuous
Grow the docs

Add a how-to for every new capability and rank for the exact queries. Docs are the top owned growth channel, so yes, keep writing them. docs-as-SEO 79% / SEO engine 43%

On every drop
Day-of support for hot releases

Newsjack the big moments. rode a bigger drop 49%

AutoResearchsame-day support and benchmarks when a major model or GPU lands
ARCAtie posts to relevant data or benchmark moments
Each milestone
Announce milestones

Stars, versions, downloads, records. Each is a post and a press ping. milestone-marketing 79%

Every time
Cross-post everything

Whatever goes on X or the blog, cross-post to Reddit, LinkedIn, and the newsletters. reuse, do not recreate