Hyrax

Hyrax Marketing Budget

FY27 request and supporting model

Date
September 3, 2026
Prepared by
Tristan Benozer
Go-to-Market
Audience
Finance and executive
review
Request
$98,599 per month
$1,183,188 in year one

Contents

Six sections
ISummary and request1–4
IIWhere we are now5
IIIThe model6–10
IVThe budget11–17
VWhat it returns18–20
VIAppendix21–25
SECTION I

Summary and request

Objective

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Make $10 million in the first year.

This document sets out how much marketing spend is required to do that.

Revenue objective$10,000,000 annualised
TimeframeFirst year
Marketing spend required, per month$98,599
Marketing spend required, year one$1,183,188

Budget is flat across the twelve months and reviewed quarterly. Scenarios at higher revenue targets are on slide 9.

Summary

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The ask

Monthly marketing budget$98,599
Year one$1,183,188
Currently approved per month$45,000
Increase$53,599 per month

What it buys each month

Ad impressions1,875,000
Website visitors75,000
Free signups3,750
New paying customers150

What it returns

Cost to get one paying customer$496.67
What that customer is worth$12,000
Time to earn the cost back1 to 1.7 months
Revenue at month 12$7.84M
Month we reach $10M16

Sense check

  • The budget is 11.8% of the $10M target. Companies at that revenue level spend 56% on average.
  • It carries no salaries. Contractors and software only.
  • A $25M target costs $230,154 a month. A $50M target costs $448,259 a month.

Full detail follows. Sources are on each slide.

Request

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$98,599 per month for Hyrax marketing, released quarterly against performance. Year one commitment is $1,183,188.

Monthly at full release$98,599
Year one total$1,183,188
Current approved monthly spend$45,000
Increase over current$53,599 per month
Revenue target$10,000,000 annualised
Modelled position at month 12$7.84M annualised, 1,379 customers
Modelled month the target is metMonth 16
Cost to acquire one paying customer$496.67
Payback periodUnder one month

Decision required: approval of the year one budget. Scenarios at higher revenue targets are on slide 9.

Scenarios

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Revenue targetCustomersNew per monthSignups per monthPaid mediaAll otherMonthly totalYear one% of target
$10M1,3891513,775$74,500$24,099$98,599$1,183,18811.8%
$25M3,4723789,450$187,740$42,414$230,154$2,761,85111.0%
$50M6,94475618,900$375,480$72,779$448,259$5,379,10810.8%

How the numbers scale

Paid media scales in line with the signups required. Agencies, contractors and software scale at half that rate, since they are largely fixed.

What stays the same

Cost to acquire a customer stays near $495 in all three, and marketing lands between 10.8% and 11.8% of the target in each case.

Risks in these numbers

Cost per customer is held flat at five times the volume, which is optimistic. There is only so much high-intent search to buy, so the bigger cases put more money into out of home and brand.

All three assume 20 seats per customer at $30 a seat, 95% monthly retention, a 4% free-to-paid rate and a 5% visitor-to-signup rate. Customer count is the number required to hold the target; new per month is the rate that reaches it inside twelve months at the stated retention.

SECTION II

Where we are now

Current Spend and Result

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$45K$34K$23K$11K$0 AD SPEND 200150100500 SIGNUPS $17,588 $9,768 $19,625 $45,000 3937183 JuneJulyAugustSeptember actualactualactualrun rate, $1,500 a day Google Reddit LinkedIn X Signups, right axis

Bars are ad spend, left axis. The line is signups, right axis. Spend from the Google Ads (8518001543), Reddit (a2_iyhg34o7cahk), LinkedIn (537800361) and X (18ce55vw38i) accounts. Signups from PostHog project 436309, account_created and wizard.started. Pulled 2026-09-02. The monthly cap has been raised three times: $15,000, $20,000, $25,000, $45,000. September is the current run rate, not a completed month.

SECTION III

The model

Revenue Target

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Why $10 million

  • $10 million is what we think is achievable in about a year for a product at this stage.
  • It is a target, not a promise. The model gets there in month 16, not month 12.
  • Comparable companies are on slide 7 and benchmark comparisons on slide 8.

What it takes

Monthly revenue$833,333
Paying customers1,389
New paying customers per month150
Free signups per month3,750
Website visitors per month75,000
Ad impressions per month1,875,000

Assumes 20 seats per customer at $30 per seat and 95% monthly retention. Both assumptions are set out on slide 6.

Funnel Model

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1,875,000
Ad impressions a month
4.0% CTR
75,000
Website visitors a month
5.0% web-to-signup
3,750
Free signups a month
4.0% upgrade
+150
New paying customers a month

Conversion rates, landing team size and retention are from the Hyrax capital allocation proposal and growth funnel model, 2026-09-03. Settled seat count is revised to 20 on the evidence linked on slide 6.

Model Assumptions

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Revenue target$10,000,000 / year
That works out per month at$833,333.33 / month
Price per seat$30 / user / month
Seats when a team starts8
Seats once the team is fully on board20
Average revenue per customer$600 / month (20 × $30)
Paying customers we need1,389 teams
New paying customers a month+150 teams / month
Free signups a month3,750
Average cost per signup$26.29
Website visitors a month75,000 / month
Ad impressions a month1,875,000 / month

Seat counts from published deployments at comparable company sizes: LSports 150 of 150 engineers (Codacy), trivago 133 weekly users of 668 staff (CodeRabbit), Pomelo 200 of 200 (Snyk), SalesRabbit 20 of 20 (CodeRabbit). Adoption rates once deployed run 70 to 100%: Brex 100% of code (Greptile), Brex 70%+ and Rippling 60% (Cursor), Qodo 46% monthly actives. Compiled in Track 7 research, Notion, 2026-09-03. Twenty seats is the low end of the observed range.

Comparable Companies

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CompanyRevenue pathTimeWhat drove it
Same category, AI code review
CodeRabbit$5M (Apr 2025) → $15M (Sep 2025) → $40M (Apr 2026) → approaching $100M (Aug 2026)16 monthsBottom-up GitHub Marketplace adoption, then a sales team. 17,000 customers, 2M reviews a week. $143M Series C at $1.5B.
Adjacent, AI code generation
Cursor (Anysphere)$100M (Jan 2025) → $500M (Jun 2025) → $1B (Nov 2025) → $4B (Jun 2026)17 monthsIndividual developers first, then enterprise. Enterprise is now 65% of revenue and 60%+ of the Fortune 500 are customers.
Replit$10M (Q4 2024) → $70M (Q1 2025) → $100M (Jun 2025) → $250M (Oct 2025)10 monthsAgent launch in Sep 2024 was the inflection after six years at under $3M. Moved from developers to non-developers.
Lovable$7M (Dec 2024) → $70M (Jun 2025)6 monthsPivot from a command-line tool to a visual product. 30,000 paying customers at $20 a month.
Windsurf (Codeium)$40M ARREnterprise and on-premises focus. Acquired by OpenAI for $3B in May 2025.

What this tells us

CodeRabbit is the closest match by product and category. It went from $5M to $40M in twelve months, and did it on developers signing themselves up before it hired a sales team.

Limits of the comparison

All five already had paying customers before these numbers started. Hyrax does not yet. The comparison says the target is possible in this category. It does not say how long it takes.

Sources, collected 2026-09-03: CodeRabbit Sacra and ARR Club. Cursor ValueAdd VC and Andrew Chan. Replit ARR Club and Scaled Enablement. Lovable and Windsurf SaaStr. Figures are third-party estimates and company statements, not audited.

Benchmark Check

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Against industry benchmarks

MeasureBenchmarkThis request
Marketing spend as % of revenue, $1–10M ARR band56%11.8%
Median annual marketing OpEx, same band$2,000,000$1,183,188
Programs share of marketing spend, under $25M ARR54%100%
People share of marketing spend46%0%
Online share of programs spend63%69%

This is 59% of what companies at $10M in revenue typically spend on marketing, and none of it is salaries.

Paid social spend as % of ARR

CodeRabbit · $45M ARR11.6%
This request · $10M target8.9%
Cursor · $4B ARR0.79%
Replit · $525M ARR0.78%
Cognition · $492M ARR0.25%

CodeRabbit, the only comparable near our target revenue, spends 1.3 times this on paid social alone. The three above $490M spend under 1%, because at that size the brand is already known.

ICONIQ Growth, Marketing Budgets & Productivity, pp. 10–12, portfolio and survey data as of 2024-10-29; n=91 for the ARR-band split, n=20 for programs versus people, n=105 for online versus offline. Competitor social spend is an AdClarity US panel estimate, 2026-04-27 to 2026-08-02, annualised; panel estimates rather than billed spend, and US-only spend measured against global ARR, so every competitor ratio shown is understated. CodeRabbit plotted at $45M, the midpoint of a reported $40–50M range. This request's paid media across year one is $894,000 against the $10,000,000 target.

SECTION IV

The budget

Budget by Category

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Paid Media  ·  $74,500  ·  75.56% PR & Events Prof. Svcs  ·  $15,200
Paid Media — $74,500 — 75.56% PR & Events — $7,500 — 7.61% Professional Services — $15,200 — 15.42% Software — $1,399 — 1.42%
CategoryMonthly cost% of total
Paid Media$74,50075.56%
PR & Events$7,5007.61%
Professional Services$15,20015.42%
Software$1,3991.42%
Total per month$98,599100.00%

Every platform, contractor and software licence, listed separately.

Paid Media — $74,500

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Line itemMonthlyDaily% of total
Google Ads (SEM & Demand Gen)$20,000$65820.28%
Out of Home (developer metros)$20,000$65820.28%
Paid Developer Influencer Fees (1 video spotlight)$10,000$32910.14%
Product Hunt Sponsored Ads (fixed rolling slot)$5,000$1645.07%
LinkedIn Ads (conversion targeting)$4,000$1324.06%
X Ads (developer timeline)$4,000$1324.06%
Meta Ads (founder video retargeting)$3,500$1153.55%
Reddit Ads (developer subreddits)$3,000$993.04%
ChatGPT / AI search network placements$2,500$822.54%
TikTok Ads (short-form code demos)$1,500$491.52%
Bing SEM (enterprise long-tail intent)$1,000$331.01%
Paid Media total$74,500$2,45175.56%

Google and X are set at current account spend. Google $658 a day, measured 31 August to 2 September in account 8518001543. X $4,000, its August total in account 18ce55vw38i. Google cost per signup over the 14 days to 2 September was $21.49, calculated against account_created in PostHog project 436309.

PR & Events — $7,500

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Line itemMonthly% of total
PR Agency Retainer & Tech Press Outreach$4,5004.56%
Developer Conferences & Hackathon Tiers$2,0002.03%
Product Hunt Launch Kit & Creative Design$5000.51%
Developer Swag & Onboarding Welcome Kits$5000.51%
PR & Events total$7,5007.61%

The launch kit pairs with the $5,000 Product Hunt sponsored slot carried in Paid Media.

Professional Services — $15,200

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Line itemMonthly% of total
Video Editing Services (4 founder videos @ $2k each)$8,0008.11%
Organic Social Content Management (X / LinkedIn)$5,0005.07%
Gauge Media (ad creative validation)$1,2001.22%
Video & Motion Graphics Production (UI overlays)$1,0001.01%
Professional Services total$15,20015.42%

No full-time hires. SEO documentation is written in-house, so it costs nothing here.

Software Stack — $1,399

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ToolMonthly
PostHog (product data and funnels)$450
Synter Media (ad buying)$300
Perplexity Sonar / Agent API usage$150
Vercel (website hosting)$100
Parallel (web data)$100
Exa AI (developer link mapping)$100
LinkedIn automation & management$100
Jina AI (clean text for crawlers)$50
Loops Email (automated emails)$49
Software total$1,399

How the main three connect

Synter Media — $300Runs and scales
the ad budget
PostHog — $450Tracks clicks through
to a connected repo
Loops Email — $49Emails people who
never connect a repo

Function notes: Perplexity Sonar checks how the category is described online, Parallel pulls raw web data, Exa maps developer links, Jina turns pages into clean text for crawlers, Vercel hosts the site, the LinkedIn tool handles cold outreach. Published pricing: PostHog, Vercel, Loops, Perplexity, Exa, Jina, Parallel.

Software Overlap and Savings

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ToolsTodayOverlapSavings
Perplexity Sonar
Parallel
Exa AI
Jina AI
$150
$100
$100
$50
Four tools that all read the web. Sonar searches and summarises, Parallel searches and fetches, Exa finds related pages, Jina cleans them up. Two of them cover it.$250
Gauge Media
Professional Services
$1,200Synter already tests ad creative and PostHog already has the funnel data. Our Gauge access ran out on 30 August.$1,200
LinkedIn automation
vs Synter Media
$100
$300
Synter buys LinkedIn ads. The other tool sends cold outreach. Different jobs.$0
PostHog
vs Synter Media
$450
$300
PostHog has the product data, Synter has the ad spend. The reports look similar but the data is different.$0
Total savings$17,400 per year$1,450

Vercel and Loops do not overlap with anything else. Pricing per the vendor pages linked on the previous slide. Gauge access status per the GTM log of 2026-08-30.

Excluded From This Request

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ItemIndicative costStatus
Attribution platform$599–$1,399/moNot funded. PostHog records product events, but signups still arrive with no source attached, so we cannot yet tell which channel produced them.
SEO and keyword tooling$250/moNot funded. SEO documentation is written in-house without a research tool.
Design tooling$150/moNot funded. Figma and Canva seats are not in the software line.
Review site listings, G2 and Capterra$1,500–$4,000/moNot funded. Both are used by this buyer during evaluation.
Website and landing page productionNot funded. Produced in-house.
Conference travel and accommodationNot funded. The $2,000 conference line covers sponsorship only.
ContingencyNo contingency line. Overspend is handled by pausing channels.
Marketing headcountExcluded on purpose. The work is done by contractors and software.

Indicative costs are published vendor list prices: Dreamdata, HockeyStack, Ahrefs, Figma. Listed so the request is complete.

SECTION V

What it returns

Modelled Year One

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End ofCustomersAvg seats eachTotal seatsRevenue a monthRevenue a yearMonths to make it back
Quarter 14289.94,250$127,485$1.53M1.67
Quarter 279512.710,094$302,820$3.63M1.30
Quarter 31,10914.816,385$491,537$5.90M1.12
Quarter 41,37915.821,778$653,338$7.84M1.05
Month 161,68016.527,800$834,000$10.01M1.00

Seats per customer

A customer starts at 8 seats and gets to 20 over six months. The average sits at 9.9 rising to 15.8, because new customers keep joining at 8.

Company size

Twenty seats at the 70 to 100% adoption other tools report means a company with 20 to 30 engineers. We sell to 15 to 250.

Target date

Month 16. Year one ends at $7.84M because a lot of the customers are new and have not grown to full seats yet.

150 new customers a month, 95% retained monthly, seats growing 8 to 20 across six months. Months to make it back is $496.67 of ad spend per new customer divided by average monthly revenue per customer in that quarter, which rises as seats grow. Retention and conversion assumptions are from the capital allocation proposal; seat progression is from the Track 7 research linked on slide 6.

Unit Economics

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$496.67to win one customer
$12,000what a customer is worth
24.2:1back for every dollar spent
0.83months to make it back

Acquisition cost

$74,500 of monthly ad spend divided by 150 new customers.

Lifetime value

Customers stay 20 months on average and pay $600 a month.

Why the ratio is high

A third of signups are assumed to cost nothing, coming from search, AI answers and word of mouth.

We make back what we spent on a customer inside their first month of billing. The automatic shut-off is on the next slide.

Spend Schedule

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PeriodPaid mediaAll otherTotal
Per month$74,500$24,099$98,599
Quarter 1$223,500$72,297$295,797
Quarter 2$223,500$72,297$295,797
Quarter 3$223,500$72,297$295,797
Quarter 4$223,500$72,297$295,797
Year one$894,000$289,188$1,183,188

Reviews

  • Flat monthly budget across the twelve months.
  • Reviewed every quarter against cost per signup, upgrade rate and average seats per customer.

Controls

  • A channel that goes over its cost per signup is paused and its budget moved to one that is working.
  • Same if it brings in accounts that never connect a repository within 72 hours.
  • Monitored continuously through Synter Media.

Out of home is booked in bursts, not evenly. The $20,000 a month is the average across the year.

SECTION VI

Appendix

Appendix A — Target User

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User profile

Who they areSoftware engineer or senior software engineer
Daily workflowWrites, reviews and revises code through GitHub pull requests
Tools in useCursor, Copilot, Devin, Claude Code, Codex, Augment
MotivationAI speed without submitting code that feels generic, inconsistent or architecturally weak
Current painReview churn, missing context, repeated corrections, no certainty the generated code fits
How they adoptWill try it alone or with a small team if setup is light and value shows up in real work
What makes it landHyrax catches a codebase-specific issue before a human reviewer does

Who qualifies

  • Uses AI tools for a real share of implementation work
  • Reviews AI-assisted pull requests from teammates
  • Joining a mature or unfamiliar codebase
  • Works across several services, repos or product surfaces
  • Dislikes submitting code that merely passes tests
  • Gets asked to revise for conventions nobody wrote down
  • Open-source maintainer or heavy GitHub contributor

Source: Hyrax Ideal Customer Profile, Notion, last updated 2026-09-01.

Appendix B — Target Company

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Company profile

TypeSoftware-led or codebase-centric business
Engineering size15 to 250+ engineers. Strongest expansion above 50
WorkflowGitHub is the source of truth, pull requests are central
AI adoptionEngineers are allowed and encouraged to use AI coding tools
CodebaseMature enough to have its own patterns, history and boundaries
InfrastructureAWS, GCP, Vercel, Kubernetes, modern CI/CD, microservices
CultureQuality, learning and craft matter, not only output volume
GeographyNorth America, the UK, major European tech hubs

Verticals

  • B2B SaaS with complex product surfaces
  • DevOps, infrastructure and developer tooling
  • Fintech and compliance-sensitive software
  • AI infrastructure
  • Engineering-led businesses where reliability and architecture are strategic

Skip these

  • Not GitHub-centric, or no real review workflow
  • AI-generated code banned
  • Codebase too simple to need product-specific context
  • Only wants style and syntax checks
  • An engineer cannot try it without executive approval

A 15 to 50 engineer company qualifies if the codebase is complex, AI usage is high, and engineers can adopt tools without procurement. Source: Hyrax Ideal Customer Profile, Notion, 2026-09-01.

Appendix C — Purchase Triggers and Buying Committee

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Purchase triggers

  • An AI-generated pull request gets heavily reworked
  • They are working somewhere unfamiliar in the codebase
  • AI output is fast but keeps missing the house style
  • Review is the bottleneck and PRs sit waiting
  • They want to use AI more without dropping their standards
  • A teammate shares a Hyrax finding that actually mattered

Buying committee

Software engineer
first user
Wants a codebase-aware review before submitting
Senior engineer
amplifier
Repeatedly leaves the same review comments
Staff engineer
sponsor
Currently the manual enforcement layer for architecture
Engineering manager
buyer
Purchases to standardise a workflow already in use
VP Engineering or CTO
budget owner
Engages after engineer adoption is established
Security or AppSec
approval required
Reviews once usage extends beyond one team

Representative account: a senior engineer at a 150-person B2B SaaS company using Cursor daily across several services. Source: Hyrax Ideal Customer Profile, Notion, last updated 2026-09-01.

Appendix D — Channel Attribution

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ChannelShareSignupsVisitorsImpressionsCost per signup
Paid — 55%
Google search and video25%93718,740468,500$21.34
Paid developer influencers12%4509,000225,000$22.22
Product Hunt ads8%3006,000150,000$16.67
Other paid social and search10%3757,500187,500$52.00
Organic — 33%
SEO and technical docs15%56311,260281,500$0.00
AI answer engines10%3757,500187,500$0.00
Organic social posting8%3006,000150,000$16.67
Word of mouth — 12%
Direct and in-product sharing8%3006,000$0.00
Private developer communities4%1503,000$0.00
Total100%3,75075,0001,650,000$26.29

Other paid social and search covers LinkedIn, X, Meta, Reddit, ChatGPT, TikTok and Bing. SEO docs are written in-house. AI answer engines are handled by the software stack. Direct and private community signups come from repository merge tags, engineers inviting teammates, and links shared in private Slack and Discord groups.

Appendix E — Product Phasing

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Phase 1 · funded
Current product
  • Free developer workspace
  • Repository connected inside 72 hours
  • Team upgrades at $30 a seat
  • 8 seats at start, 20 at settle
The full $98,599. All channel and cost targets are set against the current product.
Phase 2 · when the product changes
New features
  • New message, new buyer, new channels
  • Its own numbers and cost targets
NEED FROM PRODUCT: what it does, when it ships, who buys it.
Phase 3 · when the product changes
New features
  • No channel is funded before the product supports it
NEED FROM PRODUCT: what it does, when it ships, who buys it.

Phase 1 is the product as it works now: a free workspace, a repository connected within 72 hours, and $30 a seat.