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Growth marketing for AI, gaming, and Web3.

Hi Violet is a growth marketing agency for AI, gaming, and Web3. We read 50K+ weekly signals and act on them through three engagements: ecosystem growth, full-service GTM, and growth engineering. Focused services such as AI search optimization and agent experience (AX) run on their own.

See engagements and pricing

Every channel your market trades attention on

We run organic work on all ten and paid wherever each platform's policy allows your category, plus Discord, Telegram, and GitHub, where your builders, users, and players talk.

Every market is a pit. We read the signals.

How we move a market.

We start from whatever is holding adoption back. Three engagements own the whole constraint and pick the channels. AI search optimization and agent experience (AX) run on their own as focused services.

Straight down into an octagonal trading pit before the open: a few dozen traders in colored jackets stand scattered far apart across the steps and floor.

Ecosystem growth

Best for protocols and platforms that need builders, users, and partners moving together

Map the users, developers, partners, and communities shaping adoption, then build the partnership, integration, or community program that gets them moving together.

How it works
Straight down onto a packed trading pit: traders in violet, red, yellow, and teal jackets stand shoulder to shoulder with paper slips everywhere.

Full-service GTM

Best when one team should own the launch, from positioning to paid

One accountable team from market read to launch: positioning, editorial, social, community, creator, and paid work, adjusted every two weeks.

How it works
Straight down into an octagonal trading pit with its floor lifted away, revealing a radiating grid of cable trenches and two technicians at work.

Growth engineering

Best when data, onboarding, or tooling is the bottleneck

When the bottleneck is technical, we build through it: attribution and data pipelines, landing and onboarding systems, and tools that make growth repeatable.

How it works
Straight down into a dark octagonal trading pit lit by a single bright spotlight at its center, traders waiting around the dim edges.

AI search optimization

Focused service, best when buyers research your category in AI chat

Get named and cited when buyers ask ChatGPT, Perplexity, and Google AI Overviews about your category.

How it works
Long rows of phone-clerk desks and screens under violet fluorescent light, clerks on the phone relaying orders to the trading floor.
The read happens before the move

Read the floor. Then move first.

Every week our trend engine reads 50K+ public posts, search queries, and product launches, then sorts them into four evidence streams that drive growth decisions.

  1. Market narrative and search signals

    What customers search, save, and share across Google, AI chat, and social, and what the category believes or rejects.

  2. Audience language and keyword velocity

    The questions, objections, and phrases buyers use, including keywords accelerating in Google and AI search.

  3. Distribution movement and creative winners

    The communities, creators, formats, hooks, and angles carrying credible attention and conversion now.

  4. Product signals and adjacent-category shapes

    Where adoption is blocked or emerging, plus the layouts, offers, and CTAs winning in adjacent categories.

Every post, page, ad, partnership, community program, and product feature moves on the same evidence, so we act before your category notices. Explore two public views of our research: daily social signals and ecosystem moves.

Three markets that move in public.

Developers test a tool before they adopt it. Players watch creators before they wishlist. Web3 users read the docs, the Discord, and the chain before they connect a wallet. Every plan fits the market, the product, the participants, and the constraint.

Trading jackets in yellow, red, and teal hanging in a row on locker-room hooks before the market opens.

AI and developer tools

Technical products have to be understood, tried, trusted, and adopted by buyers who reject generic positioning.

  1. Category narrative

    What the product changes, who it serves, and why the category should see it differently.

  2. Technical search and AI search optimization

    Entity-clear pages, docs, and examples that answer evaluators and earn AI citations.

  3. Developer and community distribution

    Credible technical content, creators, and communities where practitioners already are.

  4. Product-led activation

    Demos, integrations, onboarding, and page variants by use case and role, plus docs and signup that AI agents can finish.

Gaming

Games have to be found, wishlisted, played, and kept by players who decide in seconds and compare notes constantly.

  1. Wishlist engine

    Store page, trailer, capsule art, and Next Fest demo tuned to turn page visits into wishlists.

  2. Creator programs

    Streamers and YouTubers matched to the genre and timed to playtests, demos, and launch week.

  3. Community and playtests

    Discord and Steam Playtest run as one feedback loop that builds the launch-day audience.

  4. Paid acquisition and live ops

    Creative testing, cohort ROAS, and SKAN-aware reporting that tie spend to retained, paying players.

Web3

Protocols and apps have to win builders, users, and partners in public, where every claim can be checked onchain.

  1. Developer ecosystem

    Docs, quickstarts, grants, and hackathons that turn curious builders into deployed contracts.

  2. Community and creators

    Discord, Telegram, and X programs, with every paid creator and KOL partnership disclosed.

  3. Incentives that retain

    Quests and airdrops filtered for sybil farms, judged on the wallets still active afterward.

  4. Onchain measurement

    Wallet-level cohorts that tie each campaign to first transactions, repeat use, and retained users.

The constraint chooses the work.

Every plan starts from the constraint, not a fixed channel menu. We read the market, product, participants, economics, and evidence first, then choose which channels to run and at what volume. When the constraint moves, the work moves with it. Our own models, trained with reinforcement learning, script, edit, and test the work before it ships.

Every engagement runs in two-week cycles

  1. Read

    Pull the week's signals for your market, product, and funnel.

  2. Choose

    Pick the one bet worth making and the adoption signal it has to move.

  3. Ship

    Publish, launch, or build it: the post, page, partnership, campaign, or tool.

  4. Measure

    Check it against that signal. Expand what moved the number, stop what didn't, and start the next cycle.

How our models are trained
A floor runner in a yellow jacket sprints across the trading floor clutching a stack of paper order slips, the crowd streaking past.
Two-week cycles, start to finish

Pick your size.

Monthly scopes begin with a three-month commitment. Each focused service, AI search optimization included, has its own starting price on the engagements page. Growth engineering is priced per build in the written scope.

Ecosystem growth

Custom

scope and timeline set in a written plan

A custom program for protocols and platforms that need builders, users, and partners moving together.

Full-service GTM

$7,500

per month

One accountable team across strategy, launch, execution, and iteration.

Focused services

$1,500

per month, from

AI search, SEO and editorial, paid, social, conversion, or agent experience work on its own.

Compare every engagement

Questions buyers ask

What does Hi Violet do?
Hi Violet is a growth marketing agency. We find what is slowing a product's adoption and run the work that removes it through three engagements (ecosystem growth, full-service go-to-market, and growth engineering) or a focused service such as AI search optimization or agent experience (AX).
Who do you work with?
AI and developer-tool companies, game studios and publishers, and Web3 protocols, wallets, and apps. We also run organic growth for healthcare clinics.
How much does a growth marketing engagement cost?
Ecosystem growth is custom: its price, scope, and timeline are set in a written plan. Full-service GTM starts at $7,500 a month. Focused services start at $1,500 a month. Monthly scopes begin with a three-month commitment. Growth engineering is priced per build in the written scope. Every published starting price is on our engagements page.
What are the 50K+ weekly signals?
Public posts, search queries, and product launches across X, Discord, Telegram, Reddit, GitHub, YouTube, and AI answers. Our trend engine sorts them into four evidence streams: market narrative, audience language, distribution movement, and product signals.
How do engagements run?
In two-week cycles: read the market, choose one bet and the signal it must move, ship it, and measure it. Then we expand what moved the number and stop what didn't.
Do you use AI to make the work?
Yes. Hi Violet trains its own models with reinforcement learning on more than 10 TB of data. They script and edit social content across 50+ gaming and Web3 niches, run AI agents through your product in our own RL environments, and test ad variants on AI-simulated focus groups before spend.
Do you do AI search optimization?
Yes. We build entity-clear pages, documentation, and editorial that answer the questions buyers ask ChatGPT, Perplexity, and Google AI Overviews, then track where your brand is named and cited.
Who founded Hi Violet?
Hi Violet was founded by Michael Korovkin, who also writes the agency's published research.

Bring us the constraint.

We'll identify the right way in: ecosystem growth, full-service GTM, a focused service, or a growth-critical technical build.

See engagements