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Generated Oct 23, 2026
  1. Programmable
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growth playbook · Oct 23, 2026

hyperbolic.ai (opens in a new tab)

Hyperbolic growth playbook

Diagnosis

Hyperbolic has real traction (250,000+ builders, customers such as Higgsfield, Daytona and Parasail) and just shipped Flux inference and Managed Kubernetes. It is now hiring its first Head of Marketing, a GTM operations owner, its first data engineer, support and supply staff.

The website has not caught up: the inference and GPU pricing pages share the homepage's search title, there is no pricing page, no per-model or comparison pages, almost no case studies, and real visitors find the homepage slow to respond.

This playbook fixes the search basics and homepage speed first, turns the best testimonials into proof, builds a shared funnel, then adds model pages, a GPU price index, reserved upgrades, supplier products and a reliability scorecard.

Growth Score

6/10

Biggest Opportunity

Make the pricing and model pages findable on their own, and turn the strongest customer stories (on-demand to reserved at 35% less) into proof that sells the reserved tier.

Biggest Risk

GPU clouds compete on price and availability with well-funded rivals (Lambda, Runpod, Together AI, Vast.ai, CoreWeave); without clear proof and visible pricing, Hyperbolic is easy to skip in a comparison.

01

Start here

The three moves to make first. Each one is written up in full below.

  1. 1

    Give the GPU and inference pages their own search titles: today they share the homepage's

    Rewrite the /inference and /marketplace titles and descriptions today.

    High impact First result in 2 weeks
  2. 2

    Fix the homepage's slow taps and jumping layout that real visitors feel

    Profile one homepage tap in Chrome DevTools to find the long task.

    High impact First result in 1 month
  3. 3

    Turn the Higgsfield quote into a case study: on-demand first, then reserved at 35% less

    Ask Higgsfield for a 30-minute interview.

    High impact First result in 1 month

02

Your idea portfolio

22 ideas, grouped by when to run them. Open any idea for how to run it: the steps, who to approach, copy you can use, and how to measure it.

  • 7 ideas are marked Unexpected: plays you are unlikely to have tried.

Every idea placed by the effort it takes against the impact it could have. Quick wins sit top left; select a number to open that idea. The filters below narrow the list by status, timing, category and what Programmable can build.

Effort vs impactEach number is an idea. Select one to open it.
Impact →
Quick wins · 5Big bets · 12Fill-ins · 5Reconsider · 0
Effort →

Showing 22 of 22 ideas

This week 6

Quick wins with a clear first action.

  • 01

    Hyperbolic's two money pages carry the homepage's title and description word for word. The /inference page lists ten models with per-token prices and explains Flux, launched October 21, yet a search result for it reads "Get on-demand H100, H200 & B200 GPUs…". The GPU page shows H100s from $3.19 an hour, but nothing in its title says price or rental. There is no /pricing page at all, so searches like "H100 rental price" or "DeepSeek V4 Flash API price" have no page whose title matches. The new Head of Marketing is hired to understand "how users sign up"; this is where many of them should start.

    High impactLow effort First result in 2 weeks Head of Marketing

    First action

    Rewrite the /inference and /marketplace titles and descriptions today.

    How to measure it

    Organic sign-ups from the two pricing pages

    Now
    –
    Target
    +30%
    By
    90 days

    Steps

    1. 1

      List the pages

      Every site page and its current title and description.

      Head of Marketing 1 hour

    2. 2

      Write titles

      One per page, naming the product and the starting price.

      Head of Marketing 1 day

    3. 3

      Ship

      Per-page metadata in the Next.js app.

      Member of Technical Staff - Full Stack 1 day

    4. 4

      Add /pricing

      One page linking both price lists.

      Member of Technical Staff - Full Stack 2 days

    5. 5

      Add structured data

      Product and FAQ markup on both pages.

      Member of Technical Staff - Full Stack 1 day

    6. 6

      Submit

      Request indexing in Search Console.

      Head of Marketing 1 hour

    7. 7

      Measure

      Queries, clicks and sign-ups per page.

      Data Analyst weekly

    First result
    2 weeks
    Cost
    Staff time only
    Owner
    Head of Marketing

    Smallest test

    Change the /inference title and description and watch its impressions for two weeks.

    Why it works

    Write a unique title and description for every site page: /inference ("Flux Inference API: open models from $0.06 per 1M tokens"), /marketplace ("Rent H100, H200 and B200 GPUs from $3.19/hr"), /about and /blog. Add /pricing as a short page that summarises both price lists and links to each. Add Product and FAQ structured data to both pages, and check Search Console a week later for the queries each page starts to win.

    Search engines and AI assistants pick a page by its title and description. Pages that say exactly what they price get shown for price searches, which are the highest-intent searches a GPU cloud gets.

    Ready to use

    ChecklistPage title checklist

    [ ] / : Open-Access GPU & AI Cloud (keep)
    [ ] /inference : Flux Inference API, open models from $0.06 per 1M tokens
    [ ] /marketplace : Rent H100, H200 and B200 GPUs from $3.19/hr
    [ ] /pricing : GPU and inference pricing (new page)
    [ ] /about and /blog : their own titles
    [ ] Product + FAQ structured data on both pricing pages
    [ ] Search Console check after 7 days

    Risks and how to handle them

    • Prices change weekly

      Write "from" prices in titles and update them with the weekly refresh.

    • Short-term ranking wobble

      Change titles once, then leave them for a month.

    Evidence

    • Your websiteThe /inference page lists 10 models with per-token prices (for example DeepSeek V4 Flash 0731 at $0.06 input and $0.18 output per 1M tokens, Kimi K3 at $3.00 and $15.00) and explains Flux, the OpenAI-compatible inference API. Its HTML title and meta description are the homepage's word for word ("Hyperbolic — Open-Access GPU & AI Cloud"; "Get on-demand H100, H200 & B200 GPUs and reserve dedicated multi-node clusters…"), and it has no structured data. Checked October 22, 2026.Source
    • Your websiteThe GPU rental page (/marketplace) shows H100 SXM from $3.19, H200 from $3.99 and B200 from $5.99 per GPU hour, "refreshed weekly based on the best available rates from suppliers", three tiers (On-Demand, Reserved under one year, Private Cloud over one year) and "Get notified within 3 minutes if an instance fails. No charges for failed instances". It also carries the homepage's title and description word for word, as do /about and /blog.Source
    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
    • Your websiteRecent launches on the blog: Flux inference ("Next-Generation Inference Powered by Multi-Cloud Orchestration", October 21, 2026), Managed Kubernetes for GPU workloads "Now in Beta" (October 13, 2026), Forge (June 10, 2026), on-demand reservations up to 30 days (February 2026) and dedicated model hosting (January 2026).Source
  • 02

    Real Chrome visitors fail Core Web Vitals on the homepage: a tap takes 1.2 seconds to respond (good is under 0.2) and the layout shifts by 0.27 (good is under 0.1). Load time passes for real users, but the lab test on mobile scores 41 and the largest element is the animated, letter-by-letter headline.

    High impactMedium effort First result in 1 month Member of Technical Staff Ful…

    First action

    Profile one homepage tap in Chrome DevTools to find the long task.

    How to measure it

    Core Web Vitals pass on the homepage

    Now
    –
    Target
    INP < 200 ms, CLS < 0.1
    By
    60 days

    Steps

    1. 1

      Profile

      Find the long tasks behind slow taps.

      Member of Technical Staff - Full Stack 1 day

    2. 2

      Fix the headline

      Plain text first, animation after paint.

      Member of Technical Staff - Full Stack 1 day

    3. 3

      Reserve space

      Logos, testimonials, banner.

      Member of Technical Staff - Full Stack 2 days

    4. 4

      Defer scripts

      Chat and tags after interaction.

      Member of Technical Staff - Full Stack 1 day

    5. 5

      Re-test

      PageSpeed mobile and desktop.

      Member of Technical Staff - Full Stack 1 hour

    6. 6

      Watch field data

      28-day Chrome data.

      Data Analyst 4 weeks

    First result
    1 month
    Cost
    Engineering time
    Owner
    Member of Technical Staff Full Stack

    Smallest test

    Ship the headline change alone and compare INP for a week.

    Why it works

    Render the headline as plain text and animate it with CSS only after paint; reserve space for logo strips, testimonials and the cookie banner; defer HubSpot chat and tag-manager scripts until after interaction; lazy-load the testimonial images. Re-test in PageSpeed and watch the 28-day field data.

    A developer who taps "Get Started" and waits a second, or misses a button that moved, is the sign-up the marketing hire is paid to win.

    Risks and how to handle them

    • Deferring tags loses attribution

      Keep the page-view tag; defer only chat and heavy tags.

    Evidence

    • PageSpeed InsightsHomepage, real Chrome visitors over 28 days: fails Core Web Vitals on interaction (INP 1,226 ms; good is under 200 ms) and layout shift (CLS 0.27; good is under 0.1); load (LCP 2.2 s) passes. Lab test: mobile performance 41/100 with a 17.5 s LCP, desktop 55/100; the LCP element is the animated, letter-by-letter "for Global Compute" headline. Accessibility 90, SEO 100.Source
    • Your websiteSite stack: Next.js on Vercel, HubSpot (forms and chat) and Google Tag Manager; "Schedule a Call" goes to a Calendly sales-demo page; sign-up and log-in live on app.hyperbolic.ai. No newsletter sign-up on the site.Source
    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
  • 03

    The strongest proof on the site is one line in a testimonial carousel: Higgsfield ramped on demand, then moved to a reserved contract "35% cheaper than on-demand and 20% cheaper than anything else" in the market. That is Hyperbolic's whole model in one story, but there is no case study for it, and the last case studies are from 2025.

    High impactLow effort First result in 1 month Head of Marketing

    First action

    Ask Higgsfield for a 30-minute interview.

    How to measure it

    Reserved quotes requested

    Now
    –
    Target
    +20%
    By
    90 days

    Steps

    1. 1

      Ask

      Interview and approval request.

      Head of Marketing 1 day

    2. 2

      Interview

      Ramp, reserved switch, savings.

      Head of Marketing 1 week

    3. 3

      Write

      One-page story with a chart.

      Head of Marketing 1 week

    4. 4

      Approve

      Customer sign-off on numbers.

      GTM (Operations) 1 week

    5. 5

      Publish

      Case-study section and GPU page link.

      Member of Technical Staff - Full Stack 1 day

    6. 6

      Use in sales

      Follow-up emails and decks.

      GTM (Operations) ongoing

    First result
    1 month
    Cost
    Staff time only
    Owner
    Head of Marketing

    Smallest test

    Publish the quote as a short story with the customer's approval.

    Why it works

    Interview Higgsfield, write a one-page case study (capacity ramp, timeline, the switch to reserved, savings), add a chart, and link it from the GPU page next to the Reserved tier. Use it in sales follow-ups and as the first post of a refreshed case-study section.

    Buyers of reserved capacity want proof that the price and the ramp are real; a named customer with numbers does that better than any claim.

    Risks and how to handle them

    • Customer will not share numbers

      Publish percentages only, as in the quote.

    Evidence

    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • Your websiteThe GPU rental page (/marketplace) shows H100 SXM from $3.19, H200 from $3.99 and B200 from $5.99 per GPU hour, "refreshed weekly based on the best available rates from suppliers", three tiers (On-Demand, Reserved under one year, Private Cloud over one year) and "Get notified within 3 minutes if an instance fails. No charges for failed instances". It also carries the homepage's title and description word for word, as do /about and /blog.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
  • 04

    The new GTM operations hire takes over CRM hygiene, quotes and meeting prep that one person handles today. Sales calls are booked through a Calendly link, and HubSpot runs the site's forms, so booking context can arrive without a matching account record.

    High impactLow effort First result in 2 weeks GTM

    First action

    Add the three questions to the Calendly form.

    How to measure it

    Booked calls with workload details

    Now
    –
    Target
    90%
    By
    30 days

    Steps

    1. 1

      Add questions

      GPU, tier, start date.

      GTM (Operations) 1 hour

    2. 2

      Connect

      Calendly bookings into HubSpot.

      GTM (Operations) 1 day

    3. 3

      Capture source

      Page and campaign on each booking.

      GTM (Operations) 1 day

    4. 4

      Match accounts

      Console account lookup by email.

      Senior Data Engineer 2 days

    5. 5

      Prep notes

      Auto-sent to the rep.

      GTM (Operations) 2 days

    6. 6

      Review

      Pipeline by source page.

      Head of Marketing monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    GTM (Operations)

    Smallest test

    Add the questions and compare bookings for two weeks.

    Why it works

    Ask three questions in the booking form (GPU type and count, on-demand or reserved, start date), push each booking into HubSpot with the source page, and match it to the console account when one exists. Send the prep note to the rep before every call.

    Reps who know the workload before the call quote faster, and clean records let marketing see which pages create pipeline.

    Risks and how to handle them

    • Longer form lowers bookings

      Keep it to three optional questions.

    Evidence

    • HiringGTM (Operations) (posted September 3, 2026): "Today one person holds together everything that makes a deal actually close: contract tracking, quote prep, CRM hygiene, customer follow-up, support routing, invoicing coordination, meeting prep." The hire owns CRM data quality in HubSpot ("Deals, contacts, companies, stages, close dates") and "nothing sits for three days".Source
    • Your websiteSite stack: Next.js on Vercel, HubSpot (forms and chat) and Google Tag Manager; "Schedule a Call" goes to a Calendly sales-demo page; sign-up and log-in live on app.hyperbolic.ai. No newsletter sign-up on the site.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
  • 05

    Hyperbolic is hiring a Supply Specialist and a Head of Compute to grow GPU supply, and the homepage addresses neoclouds directly. But "Grow Your GPU Cloud" opens an email to one person. Vast.ai, a rival marketplace, gives suppliers a hosting page with an earnings calculator.

    High impactLow effort First result in 1 month Head of Compute

    First action

    Draft the form fields with the supply team.

    How to measure it

    Supplier leads with complete specs

    Now
    –
    Target
    20 a month
    By
    90 days

    Steps

    1. 1

      Agree fields

      GPU, count, location, interconnect.

      Compute GTM (Supply Specialist) 1 day

    2. 2

      Write the page

      Offer, requirements, estimate.

      Head of Marketing 1 week

    3. 3

      Build

      Page and HubSpot form.

      Member of Technical Staff - Full Stack 3 days

    4. 4

      Route

      To the supply pipeline.

      GTM (Operations) 1 day

    5. 5

      Swap the button

      Homepage links to /supply.

      Member of Technical Staff - Full Stack 1 hour

    6. 6

      Use at events

      Short link and QR code.

      Compute GTM (Supply Specialist) ongoing

    First result
    1 month
    Cost
    Staff time only
    Owner
    Head of Compute

    Smallest test

    Swap the mailto for a three-field form this week.

    Why it works

    Build a /supply page: what Hyperbolic offers suppliers (demand, Forge orchestration, billing), the hardware it wants, a simple utilisation-to-revenue estimate, and a short form (GPU type, count, location, interconnect) routed to the supply team in HubSpot.

    Structured supplier leads are faster to diligence, and the page itself becomes a channel the supply team can share at events.

    Risks and how to handle them

    • Estimate seen as a promise

      Show ranges and state the assumptions.

    Evidence

    • HiringCompute GTM, a Supply Specialist (remote, posted August 6, 2026): "grow and strengthen the supply side of our GPU marketplace": source GPU capacity "across NeoClouds, data center operators, cloud infrastructure providers", negotiate pricing, reserved capacity and SLAs, and "Represent Hyperbolic at industry events, conferences". A Head of Compute is also open.Source
    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • Competitor researchRivals' own homepages: Lambda, "AI compute in the cloud" with on-demand instances, 1-Click Clusters and a Compare section; Runpod, "The AI Developer Cloud", on-demand GPUs "across 31 global regions" plus serverless endpoints; Together AI, "The AI Native Cloud" for open-model inference and training; Vast.ai, "Rent GPUs" with a hosting programme and earnings calculator for GPU suppliers; CoreWeave, "The Essential Cloud for AI".Source
    • HiringMember of Technical Staff - Inference (posted September 9, 2026): build inference on Forge, "our unified control plane, so customers can consume model tokens without managing GPUs and our NeoCloud partners get a full-stack path to their own token-factory offering"; deployment across clusters "distributed around the world, on heterogeneous hardware", then optimization, autoscaling and "customer inference debugging".Source
  • 06

    The Head of Marketing will be judged on sign-ups and engagement, and the first Data Engineer is joining because product engineers run the data stack on the side while inference adds new data. Without one funnel, every team counts differently.

    High impactMedium effort First result in 1 month Senior Data Engineer

    First action

    Write the five stage definitions.

    How to measure it

    Sign-up to first spend

    Now
    –
    Target
    +15%
    By
    2 quarters

    Steps

    1. 1

      Define stages

      Five, with exact events.

      Data Analyst 2 days

    2. 2

      Source data

      Console, billing, site analytics.

      Senior Data Engineer 1 week

    3. 3

      Build the model

      In the warehouse.

      Senior Data Engineer 1 week

    4. 4

      Dashboard

      In Hex, by source and product.

      Data Analyst 3 days

    5. 5

      Weekly review

      Marketing and GTM.

      Head of Marketing weekly

    6. 6

      Act

      One drop-off fix per month.

      Head of Marketing monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Senior Data Engineer

    Smallest test

    Count last month's sign-ups that spent anything.

    Why it works

    Define five stages (visit, sign-up, first credit, first GPU hour or first 1M tokens, repeat spend) and build them in Hex from console and billing data, split by source page and product. Review it every week with marketing and GTM.

    A shared funnel shows where builders drop off and which pages bring paying users, not just sign-ups.

    Risks and how to handle them

    • Attribution gaps

      Pass UTM data from the site into sign-up.

    Evidence

    • HiringSenior Data Engineer (posted October 5, 2026): "Hyperbolic's first dedicated Data Engineer", one half of a two-person data team with the data analyst; "Today our product engineers maintain the data stack on top of their day jobs"; "As we launch new products like inference, our data volume will grow fast"; stack: Redshift, Postgres, Hex, Polytomic.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
    • HiringGTM (Operations) (posted September 3, 2026): "Today one person holds together everything that makes a deal actually close: contract tracking, quote prep, CRM hygiene, customer follow-up, support routing, invoicing coordination, meeting prep." The hire owns CRM data quality in HubSpot ("Deals, contacts, companies, stages, close dates") and "nothing sits for three days".Source
    • Your websiteRecent launches on the blog: Flux inference ("Next-Generation Inference Powered by Multi-Cloud Orchestration", October 21, 2026), Managed Kubernetes for GPU workloads "Now in Beta" (October 13, 2026), Forge (June 10, 2026), on-demand reservations up to 30 days (February 2026) and dedicated model hosting (January 2026).Source

This quarter 10

The core plays for the next three months.

  • 07

    Developers search for the model, not the provider: "Kimi K3 API", "DeepSeek V4 Flash price". Hyperbolic lists ten models in one table on /inference and has no per-model pages, so it cannot be the result for any single model.

    High impactMedium effort First result in 1 quarter Head of Marketing

    First action

    Build one page for the cheapest model and measure it.

    How to measure it

    Model-page sign-ups

    Now
    –
    Target
    300 a month
    By
    2 quarters

    Steps

    1. 1

      Template

      Prices, specs, code, button.

      Head of Marketing 1 week

    2. 2

      Data feed

      From the model catalogue.

      Member of Technical Staff - Full Stack 1 week

    3. 3

      Build pages

      All ten models.

      Member of Technical Staff - Full Stack 1 week

    4. 4

      Deep link

      Playground with the model selected.

      Member of Technical Staff - Full Stack 3 days

    5. 5

      Auto-update

      When prices or models change.

      Member of Technical Staff - Full Stack 1 week

    6. 6

      Measure

      Sign-ups per model page.

      Data Analyst monthly

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Head of Marketing

    Smallest test

    Publish one model page and track its sign-ups.

    Why it works

    Generate one page per model from the catalogue: prices (input, output, cached), context length, an OpenAI-SDK code sample with the Hyperbolic base URL, and a sign-up button that lands in the playground with that model selected. Update pages automatically when prices or models change.

    Per-model pages match how developers search and give AI assistants a citable price for each model.

    Risks and how to handle them

    • Thin pages

      Add a benchmark note and a use case per model.

    Evidence

    • Your websiteThe /inference page lists 10 models with per-token prices (for example DeepSeek V4 Flash 0731 at $0.06 input and $0.18 output per 1M tokens, Kimi K3 at $3.00 and $15.00) and explains Flux, the OpenAI-compatible inference API. Its HTML title and meta description are the homepage's word for word ("Hyperbolic — Open-Access GPU & AI Cloud"; "Get on-demand H100, H200 & B200 GPUs and reserve dedicated multi-node clusters…"), and it has no structured data. Checked October 22, 2026.Source
    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • HiringMember of Technical Staff - Inference (posted September 9, 2026): build inference on Forge, "our unified control plane, so customers can consume model tokens without managing GPUs and our NeoCloud partners get a full-stack path to their own token-factory offering"; deployment across clusters "distributed around the world, on heterogeneous hardware", then optimization, autoscaling and "customer inference debugging".Source
    • Competitor researchRivals' own homepages: Lambda, "AI compute in the cloud" with on-demand instances, 1-Click Clusters and a Compare section; Runpod, "The AI Developer Cloud", on-demand GPUs "across 31 global regions" plus serverless endpoints; Together AI, "The AI Native Cloud" for open-model inference and training; Vast.ai, "Rent GPUs" with a hosting programme and earnings calculator for GPU suppliers; CoreWeave, "The Essential Cloud for AI".Source
  • 08

    Hyperbolic refreshes its GPU prices weekly from the best rates across suppliers, and its "NVIDIA H200 Price in 2026" post shows people search for prices. No one publishes a neutral, weekly marketplace price series for H100, H200 and B200.

    High impactMedium effort First result in 1 quarter Data Analyst

    First action

    Export the last 12 weeks of rates.

    How to measure it

    Index email subscribers

    Now
    –
    Target
    2,000
    By
    2 quarters

    Steps

    1. 1

      Export history

      Weekly rates per GPU.

      Senior Data Engineer 1 week

    2. 2

      Define the index

      Starting and median prices.

      Data Analyst 1 week

    3. 3

      Build the page

      Chart and notes.

      Member of Technical Staff - Full Stack 2 weeks

    4. 4

      Email

      Weekly send.

      Head of Marketing weekly

    5. 5

      Pitch

      Infrastructure newsletters and press.

      Head of Marketing 1 month

    6. 6

      Refresh

      Every week.

      Data Analyst weekly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Data Analyst

    Smallest test

    Post one chart of 12 weeks of H100 prices.

    Why it works

    Publish a public index page and chart of weekly starting and median prices per GPU type (on-demand and reserved), with a short note on what moved. Offer it as an email and an embeddable chart.

    A recurring data series earns links, press quotes and AI citations, and every visit lands on a page one click from renting.

    Risks and how to handle them

    • Suppliers object to price exposure

      Publish aggregates only, never one supplier's rate.

    Evidence

    • Your websiteThe GPU rental page (/marketplace) shows H100 SXM from $3.19, H200 from $3.99 and B200 from $5.99 per GPU hour, "refreshed weekly based on the best available rates from suppliers", three tiers (On-Demand, Reserved under one year, Private Cloud over one year) and "Get notified within 3 minutes if an instance fails. No charges for failed instances". It also carries the homepage's title and description word for word, as do /about and /blog.Source
    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • HiringCompute GTM, a Supply Specialist (remote, posted August 6, 2026): "grow and strengthen the supply side of our GPU marketplace": source GPU capacity "across NeoClouds, data center operators, cloud infrastructure providers", negotiate pricing, reserved capacity and SLAs, and "Represent Hyperbolic at industry events, conferences". A Head of Compute is also open.Source
    • Competitor researchRivals' own homepages: Lambda, "AI compute in the cloud" with on-demand instances, 1-Click Clusters and a Compare section; Runpod, "The AI Developer Cloud", on-demand GPUs "across 31 global regions" plus serverless endpoints; Together AI, "The AI Native Cloud" for open-model inference and training; Vast.ai, "Rent GPUs" with a hosting programme and earnings calculator for GPU suppliers; CoreWeave, "The Essential Cloud for AI".Source
  • 09

    Builders compare GPU clouds before they sign up, and Lambda has a Compare section. Hyperbolic's sitemap has no comparison pages, though its blog already covers the "AI inference provider landscape" and "GPU marketplace landscape".

    High impactMedium effort First result in 1 quarter Head of Marketing

    First action

    Pick the rival sales hears about most.

    How to measure it

    Comparison-page sign-ups

    Now
    –
    Target
    150 a month
    By
    2 quarters

    Steps

    1. 1

      Pick rivals

      Four most common in deals.

      GTM (Operations) 1 day

    2. 2

      Check facts

      Current public prices and terms.

      Head of Marketing 1 week

    3. 3

      Write

      Fair tables with sources.

      Head of Marketing 2 weeks

    4. 4

      Legal review

      Claims and trademarks.

      Corporate Counsel 1 week

    5. 5

      Publish

      With a test path.

      Member of Technical Staff - Full Stack 2 days

    6. 6

      Refresh

      Monthly price check.

      Head of Marketing monthly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Head of Marketing

    Smallest test

    Publish the Runpod comparison first.

    Why it works

    Write one page per rival: GPU types, starting prices, reserved terms, quotas, inference catalogue, Kubernetes, billing for failed instances. Date every table, cite sources, and end with a free test path.

    Comparison searches are late-stage and high-intent, and fair tables are what AI assistants quote.

    Risks and how to handle them

    • Prices go stale

      Date the tables and refresh monthly.

    Evidence

    • Competitor researchRivals' own homepages: Lambda, "AI compute in the cloud" with on-demand instances, 1-Click Clusters and a Compare section; Runpod, "The AI Developer Cloud", on-demand GPUs "across 31 global regions" plus serverless endpoints; Together AI, "The AI Native Cloud" for open-model inference and training; Vast.ai, "Rent GPUs" with a hosting programme and earnings calculator for GPU suppliers; CoreWeave, "The Essential Cloud for AI".Source
    • Your websiteThe GPU rental page (/marketplace) shows H100 SXM from $3.19, H200 from $3.99 and B200 from $5.99 per GPU hour, "refreshed weekly based on the best available rates from suppliers", three tiers (On-Demand, Reserved under one year, Private Cloud over one year) and "Get notified within 3 minutes if an instance fails. No charges for failed instances". It also carries the homepage's title and description word for word, as do /about and /blog.Source
    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
  • 10

    Hyperbolic's best story is a customer who ramped on demand, then reserved for 35% less. The GPU page describes that path, but the offer depends on someone noticing. On-demand users with steady usage are the reserved pipeline.

    High impactMedium effort First result in 1 quarter GTM

    First action

    List accounts with three weeks of steady usage.

    How to measure it

    Reserved conversions from flagged accounts

    Now
    –
    Target
    15%
    By
    2 quarters

    Steps

    1. 1

      Define steady

      Usage pattern rule.

      Data Analyst 1 week

    2. 2

      Flag accounts

      Weekly query.

      Senior Data Engineer 1 week

    3. 3

      Quote

      Instant reserved price for actual use.

      GTM (Operations) 2 weeks

    4. 4

      Send offer

      Console banner and email.

      Head of Marketing 1 week

    5. 5

      Follow up

      GTM call for large accounts.

      GTM (Operations) ongoing

    6. 6

      Measure

      Conversion and retention.

      Data Analyst monthly

    First result
    1 quarter
    Cost
    Reserved discount margin
    Owner
    GTM (Operations)

    Smallest test

    Email ten steady accounts a reserved quote.

    Why it works

    Flag accounts with steady on-demand spend for three or more weeks, send an in-console and email offer with an instant reserved quote for their actual usage, and route replies to GTM.

    Moving steady users to reserved locks in revenue and lowers their bill before a rival offers it.

    Risks and how to handle them

    • Cannibalises on-demand margin

      Offer only above a usage threshold that supply can back.

    Evidence

    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • Your websiteThe GPU rental page (/marketplace) shows H100 SXM from $3.19, H200 from $3.99 and B200 from $5.99 per GPU hour, "refreshed weekly based on the best available rates from suppliers", three tiers (On-Demand, Reserved under one year, Private Cloud over one year) and "Get notified within 3 minutes if an instance fails. No charges for failed instances". It also carries the homepage's title and description word for word, as do /about and /blog.Source
    • HiringGTM (Operations) (posted September 3, 2026): "Today one person holds together everything that makes a deal actually close: contract tracking, quote prep, CRM hygiene, customer follow-up, support routing, invoicing coordination, meeting prep." The hire owns CRM data quality in HubSpot ("Deals, contacts, companies, stages, close dates") and "nothing sits for three days".Source
    • HiringSenior Data Engineer (posted October 5, 2026): "Hyperbolic's first dedicated Data Engineer", one half of a two-person data team with the data analyst; "Today our product engineers maintain the data stack on top of their day jobs"; "As we launch new products like inference, our data volume will grow fast"; stack: Redshift, Postgres, Hex, Polytomic.Source
  • 11

    The support hire is told that "most repeat tickets are a documentation gap" and to write a runbook for every new fix: SSH keys, NFS mounts, quotas, security groups, drivers. Developers search those exact errors.

    High impactLow effort First result in 1 quarter Technical Support Engineer

    First action

    Pick the five most repeated ticket topics.

    How to measure it

    Repeat tickets on covered topics

    Now
    –
    Target
    -30%
    By
    2 quarters

    Steps

    1. 1

      Rank topics

      Top repeat tickets.

      Technical Support Engineer 1 week

    2. 2

      Write guides

      Five public versions.

      Technical Support Engineer 1 month

    3. 3

      Review

      Remove internal details.

      VP of Engineering 1 week

    4. 4

      Publish

      In the docs with search titles.

      Technical Support Engineer 1 week

    5. 5

      Link replies

      In ticket macros.

      Technical Support Engineer 1 day

    6. 6

      Measure

      Tickets and visits.

      Data Analyst monthly

    First result
    1 quarter
    Cost
    Support time
    Owner
    Technical Support Engineer

    Smallest test

    Publish one guide for the top ticket.

    Why it works

    For each runbook, publish a cleaned-up public guide in the docs ("Fix NFS mount timeouts on a Hyperbolic GPU instance"), link it from the ticket reply, and track repeat tickets per topic.

    Public guides cut tickets, bring in developers searching errors, and show the platform is well supported.

    Risks and how to handle them

    • Exposing internal setup

      Review every guide before publishing.

    Evidence

    • HiringTechnical Support Engineer (remote, posted August 28, 2026): owns tickets "against our SLA", runs and writes runbooks ("When you solve something new, write the runbook so the next person does not escalate it") and keeps "customer-facing docs and internal knowledge base current. Most repeat tickets are a documentation gap." Typical issues: SSH keys, NFS mounts, quotas, security groups, drivers, billing.Source
    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
  • 12

    Managed Kubernetes for GPU workloads launched in beta on October 13. Teams already running Kubernetes are a clear audience, and a beta is the moment to collect proof.

    High impactMedium effort First result in 1 quarter Head of Marketing

    First action

    List 30 current customers who use Kubernetes.

    How to measure it

    Partners running production

    Now
    –
    Target
    10
    By
    1 quarter

    Steps

    1. 1

      List candidates

      Customers on Kubernetes.

      GTM (Operations) 1 week

    2. 2

      Invite

      15 partners with credits.

      Head of Marketing 1 week

    3. 3

      Run

      Weekly calls and shared channel.

      VP of Engineering weekly

    4. 4

      Collect feedback

      Top issues tracked.

      VP of Engineering weekly

    5. 5

      Publish stories

      Two partners.

      Head of Marketing 1 month

    6. 6

      Launch

      General availability with video.

      Head of Marketing 1 month

    First result
    1 quarter
    Cost
    Credits
    Owner
    Head of Marketing

    Smallest test

    Invite five partners this week.

    Why it works

    Invite 15 teams as design partners with credits, a shared channel and a weekly call; publish two partner stories and a "from kubeconfig to training in minutes" video when the beta closes.

    Partners shape the product and become the launch proof.

    Risks and how to handle them

    • Partners churn after credits

      Agree a reserved path before the credits end.

    Evidence

    • Your websiteRecent launches on the blog: Flux inference ("Next-Generation Inference Powered by Multi-Cloud Orchestration", October 21, 2026), Managed Kubernetes for GPU workloads "Now in Beta" (October 13, 2026), Forge (June 10, 2026), on-demand reservations up to 30 days (February 2026) and dedicated model hosting (January 2026).Source
    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
  • 13

    Hyperbolic has a referral programme and a Partner Program paying "1% commission" on GPU reservation deals, but both live only in blog posts from 2025 and are not linked from the site's navigation. The marketing hire is asked to build "partners, contributors, and community advocates".

    Medium impactLow effort First result in 1 quarter Head of Marketing

    First action

    Check how many referrals and partner deals came in last quarter.

    How to measure it

    Referred sign-ups

    Now
    –
    Target
    +100%
    By
    2 quarters

    Steps

    1. 1

      Audit

      Results since launch.

      Data Analyst 1 week

    2. 2

      Update terms

      Rewards and payout rules.

      Head of Marketing 1 week

    3. 3

      Build pages

      Navigation entries.

      Member of Technical Staff - Full Stack 1 week

    4. 4

      Add to console

      Referral link and invoice line.

      Member of Technical Staff - Full Stack 2 weeks

    5. 5

      Recruit

      Ten partners.

      Head of Marketing 1 quarter

    6. 6

      Report

      Quarterly partner statements.

      GTM (Operations) quarterly

    First result
    1 quarter
    Cost
    Payouts
    Owner
    Head of Marketing

    Smallest test

    Link the referral page from the footer.

    Why it works

    Give each programme a page in the main navigation, put the referral link in the console and invoices, and send partners a quarterly statement. Recruit ten partners from ML consultancies and university labs.

    Referrals from developers and consultants convert better than paid ads in developer infrastructure, and the programmes already exist.

    Risks and how to handle them

    • Low-quality referrals

      Pay on spend, not sign-ups.

    Evidence

    • Your websiteTwo growth programmes exist only as blog posts: a referral programme ("Share Hyperbolic. Get Paid.", May 2025) and the Hyperbolic Partner Program, a "1% commission fee for successful deals in GPU reservations" (August 2025). Neither is linked from the homepage navigation or footer.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
  • 14

    The homepage has 14 testimonials from teams such as Daytona, Parasail, HappyRobot, Gray Swan AI and Neural Motion, but the site has no case-study section and only two case studies, both from 2025.

    High impactMedium effort First result in 1 quarter Head of Marketing

    First action

    Ask the six testimonial customers for interviews.

    How to measure it

    Calls booked from case studies

    Now
    –
    Target
    30 a quarter
    By
    2 quarters

    Steps

    1. 1

      Ask

      Six customers.

      Head of Marketing 1 week

    2. 2

      Interview

      Workload and results.

      Head of Marketing 1 month

    3. 3

      Write

      Short stories with numbers.

      Head of Marketing 1 month

    4. 4

      Approve

      Customer sign-off.

      GTM (Operations) 2 weeks

    5. 5

      Build section

      Navigation and filters.

      Member of Technical Staff - Full Stack 1 week

    6. 6

      Use

      In sales follow-ups.

      GTM (Operations) ongoing

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Head of Marketing

    Smallest test

    Publish the first story within a month.

    Why it works

    Turn six testimonials into short case studies by product line (on-demand, reserved, inference, private cloud), each with the workload, timeline, numbers and a quote. Add a case-study section to the navigation and filter by use case.

    Enterprise and platform buyers look for a peer with the same workload before booking a call.

    Risks and how to handle them

    • Slow approvals

      Start with customers who already gave quotes.

    Evidence

    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
  • 15

    Reve AI says Hyperbolic "was the only platform that had it ready to go" for the model it needed, and the blog has announced new open models on launch day before. Flux now puts models behind one API.

    High impactMedium effort First result in 1 quarter Member of Technical Staff Inf…

    First action

    Agree which model families get the 48-hour target.

    How to measure it

    Sign-ups in model launch weeks

    Now
    –
    Target
    2x baseline
    By
    2 quarters

    Steps

    1. 1

      Pick families

      Which models qualify.

      Member of Technical Staff - Inference 1 week

    2. 2

      Deployment runbook

      From release to endpoint.

      Member of Technical Staff - Inference 1 month

    3. 3

      Alert list

      Sign-up by model.

      Member of Technical Staff - Full Stack 1 week

    4. 4

      Launch template

      Post, page, social.

      Head of Marketing 1 week

    5. 5

      Run

      Each release.

      Member of Technical Staff - Inference ongoing

    6. 6

      Measure

      Sign-ups and token use per launch.

      Data Analyst monthly

    First result
    1 quarter
    Cost
    Engineering time and GPU capacity
    Owner
    Member of Technical Staff Inference

    Smallest test

    Run the alert list for the next model release.

    Why it works

    Set a target to serve major open models within 48 hours of release, keep a public "models we're adding" list, and let developers sign up for an alert by model. Announce each launch on X, the blog and the model page.

    Being first with a new model wins the developers who try it that week, and many stay.

    Risks and how to handle them

    • Capacity for spikes

      Cap free-tier rate limits in launch week.

    Evidence

    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • Your websiteThe /inference page lists 10 models with per-token prices (for example DeepSeek V4 Flash 0731 at $0.06 input and $0.18 output per 1M tokens, Kimi K3 at $3.00 and $15.00) and explains Flux, the OpenAI-compatible inference API. Its HTML title and meta description are the homepage's word for word ("Hyperbolic — Open-Access GPU & AI Cloud"; "Get on-demand H100, H200 & B200 GPUs and reserve dedicated multi-node clusters…"), and it has no structured data. Checked October 22, 2026.Source
    • HiringMember of Technical Staff - Inference (posted September 9, 2026): build inference on Forge, "our unified control plane, so customers can consume model tokens without managing GPUs and our NeoCloud partners get a full-stack path to their own token-factory offering"; deployment across clusters "distributed around the world, on heterogeneous hardware", then optimization, autoscaling and "customer inference debugging".Source
    • Your websiteRecent launches on the blog: Flux inference ("Next-Generation Inference Powered by Multi-Cloud Orchestration", October 21, 2026), Managed Kubernetes for GPU workloads "Now in Beta" (October 13, 2026), Forge (June 10, 2026), on-demand reservations up to 30 days (February 2026) and dedicated model hosting (January 2026).Source
  • 16

    One of Hyperbolic's recent posts asks "How Much Compute Do You Actually Need?" and another prices the H200. Builders planning a run want a number, not an article.

    Medium impactLow effort First result in 1 quarter Head of Marketing

    First action

    Write the formula with an engineer.

    How to measure it

    Calculator-sourced quotes

    Now
    –
    Target
    50 a month
    By
    2 quarters

    Steps

    1. 1

      Formula

      Training and inference estimates.

      Member of Technical Staff - Inference 2 weeks

    2. 2

      Design

      Three inputs, one answer.

      Head of Marketing 1 week

    3. 3

      Build

      Page and quote handoff.

      Member of Technical Staff - Full Stack 2 weeks

    4. 4

      Link

      From the blog post and GPU page.

      Head of Marketing 1 day

    5. 5

      Promote

      Developer communities.

      Head of Marketing 1 month

    6. 6

      Measure

      Quotes and launches.

      Data Analyst monthly

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Head of Marketing

    Smallest test

    Ship a spreadsheet version first.

    Why it works

    Build a calculator: model size, tokens or dataset size, target time; it returns GPU type, count, hours and the on-demand and reserved cost on Hyperbolic, with a button to launch or request a quote with the answer filled in.

    A planning tool is shared, bookmarked and cited, and hands the sales team a sized lead.

    Risks and how to handle them

    • Estimates seen as quotes

      Show ranges and assumptions.

    Evidence

    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • Your websiteThe GPU rental page (/marketplace) shows H100 SXM from $3.19, H200 from $3.99 and B200 from $5.99 per GPU hour, "refreshed weekly based on the best available rates from suppliers", three tiers (On-Demand, Reserved under one year, Private Cloud over one year) and "Get notified within 3 minutes if an instance fails. No charges for failed instances". It also carries the homepage's title and description word for word, as do /about and /blog.Source
    • HiringGTM (Operations) (posted September 3, 2026): "Today one person holds together everything that makes a deal actually close: contract tracking, quote prep, CRM hygiene, customer follow-up, support routing, invoicing coordination, meeting prep." The hire owns CRM data quality in HubSpot ("Deals, contacts, companies, stages, close dates") and "nothing sits for three days".Source

Big bets 3

Larger plays that can change the trajectory.

  • 17

    The inference hire is building Forge so "NeoCloud partners get a full-stack path to their own token-factory offering". That is a product for suppliers, not just a feature, and nothing on the site presents it.

    High impactHigh effort First result in 3 quarters Member of Technical Staff Inf…

    First action

    Ask three current suppliers if they would sell inference under their own brand.

    How to measure it

    Live partners

    Now
    –
    Target
    5
    By
    3 quarters

    Steps

    1. 1

      Interview suppliers

      Demand and terms.

      Compute GTM (Supply Specialist) 1 month

    2. 2

      Define the package

      Scope, pricing, SLAs.

      Head of Compute 1 month

    3. 3

      Contracts

      Partner terms.

      Corporate Counsel 1 month

    4. 4

      Pilot

      Three partners.

      Member of Technical Staff - Inference 1 quarter

    5. 5

      Launch page

      Product and story.

      Head of Marketing 1 month

    6. 6

      Scale

      More partners.

      Compute GTM (Supply Specialist) ongoing

    First result
    3 quarters
    Cost
    Engineering and legal time
    Owner
    Member of Technical Staff Inference

    Smallest test

    Pitch the idea to one supplier.

    Why it works

    Package it: white-label inference on the partner's own hardware, revenue share or licence, onboarding in weeks. Sign three launch partners, then publish a product page and a partner story.

    It deepens supply relationships, earns on hardware Hyperbolic does not own, and gives neoclouds a reason to choose Hyperbolic over selling bare capacity.

    Risks and how to handle them

    • Partners compete with Hyperbolic's own inference

      Split by region or customer segment in the contract.

    Evidence

    • HiringMember of Technical Staff - Inference (posted September 9, 2026): build inference on Forge, "our unified control plane, so customers can consume model tokens without managing GPUs and our NeoCloud partners get a full-stack path to their own token-factory offering"; deployment across clusters "distributed around the world, on heterogeneous hardware", then optimization, autoscaling and "customer inference debugging".Source
    • HiringCompute GTM, a Supply Specialist (remote, posted August 6, 2026): "grow and strengthen the supply side of our GPU marketplace": source GPU capacity "across NeoClouds, data center operators, cloud infrastructure providers", negotiate pricing, reserved capacity and SLAs, and "Represent Hyperbolic at industry events, conferences". A Head of Compute is also open.Source
    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • Competitor researchRivals' own homepages: Lambda, "AI compute in the cloud" with on-demand instances, 1-Click Clusters and a Compare section; Runpod, "The AI Developer Cloud", on-demand GPUs "across 31 global regions" plus serverless endpoints; Together AI, "The AI Native Cloud" for open-model inference and training; Vast.ai, "Rent GPUs" with a hosting programme and earnings calculator for GPU suppliers; CoreWeave, "The Essential Cloud for AI".Source
  • 18

    Hyperbolic says it notifies users within 3 minutes if an instance fails and charges nothing for failed instances. Buyers of marketplace capacity worry most about reliability across suppliers; showing the numbers would answer it.

    High impactHigh effort First result in 3 quarters Head of Compute

    First action

    Compute last month's launch success rate.

    How to measure it

    Launch success rate published

    Now
    –
    Target
    monthly
    By
    3 quarters

    Steps

    1. 1

      Define metrics

      Four measures.

      Head of Compute 2 weeks

    2. 2

      Build data

      From instance logs.

      Senior Data Engineer 1 month

    3. 3

      Review

      Supplier impact.

      Compute GTM (Supply Specialist) 2 weeks

    4. 4

      Publish

      Monthly page.

      Head of Marketing 1 month

    5. 5

      Console tiers

      Reliability per offer.

      Member of Technical Staff - Full Stack 1 quarter

    6. 6

      Use in sales

      Reserved and private cloud.

      GTM (Operations) ongoing

    First result
    3 quarters
    Cost
    Data and product time
    Owner
    Head of Compute

    Smallest test

    Share the scorecard privately with five customers.

    Why it works

    Publish monthly aggregate figures: launch success rate, time to ready, failure rate and refunds, by GPU type. Show a reliability tier next to each offer in the console.

    Proof of reliability removes the main objection to a marketplace and turns the no-charge policy into a measurable promise.

    Risks and how to handle them

    • Bad months are public

      Publish trends and the fixes made.

    Evidence

    • Your websiteThe GPU rental page (/marketplace) shows H100 SXM from $3.19, H200 from $3.99 and B200 from $5.99 per GPU hour, "refreshed weekly based on the best available rates from suppliers", three tiers (On-Demand, Reserved under one year, Private Cloud over one year) and "Get notified within 3 minutes if an instance fails. No charges for failed instances". It also carries the homepage's title and description word for word, as do /about and /blog.Source
    • HiringTechnical Support Engineer (remote, posted August 28, 2026): owns tickets "against our SLA", runs and writes runbooks ("When you solve something new, write the runbook so the next person does not escalate it") and keeps "customer-facing docs and internal knowledge base current. Most repeat tickets are a documentation gap." Typical issues: SSH keys, NFS mounts, quotas, security groups, drivers, billing.Source
    • HiringCompute GTM, a Supply Specialist (remote, posted August 6, 2026): "grow and strengthen the supply side of our GPU marketplace": source GPU capacity "across NeoClouds, data center operators, cloud infrastructure providers", negotiate pricing, reserved capacity and SLAs, and "Represent Hyperbolic at industry events, conferences". A Head of Compute is also open.Source
    • HiringSenior Data Engineer (posted October 5, 2026): "Hyperbolic's first dedicated Data Engineer", one half of a two-person data team with the data analyst; "Today our product engineers maintain the data stack on top of their day jobs"; "As we launch new products like inference, our data volume will grow fast"; stack: Redshift, Postgres, Hex, Polytomic.Source
  • 19

    The founding story starts with a Berkeley professor who could not find a machine; testimonials come from UC San Diego and HKU, and research posts feature academics. Academic users publish, teach and later found startups.

    High impactHigh effort First result in 4 quarters Co Founder and CEO

    First action

    Set the first quarter's grant budget.

    How to measure it

    Acknowledged papers

    Now
    –
    Target
    25
    By
    4 quarters

    Steps

    1. 1

      Budget

      Credits per quarter.

      Co-Founder and CEO 1 week

    2. 2

      Rules

      Application and review.

      Head of Marketing 2 weeks

    3. 3

      Launch

      Page and university outreach.

      Head of Marketing 1 month

    4. 4

      Review

      Applications each quarter.

      Member of Technical Staff - Inference quarterly

    5. 5

      Publish

      Write-ups and paper list.

      Head of Marketing quarterly

    6. 6

      Convert

      Labs to paid or startups.

      GTM (Operations) ongoing

    First result
    4 quarters
    Cost
    Compute credits
    Owner
    Co Founder and CEO

    Smallest test

    Fund three labs this quarter.

    Why it works

    Offer quarterly compute grants to university labs (application, review, credits), ask for acknowledgement in papers and a short write-up, and publish a yearly list of papers run on Hyperbolic.

    Grants build the "open access" brand with the people who choose tools for the next generation of startups.

    Risks and how to handle them

    • Credits without return

      Require write-ups and cap credits per lab.

    Evidence

    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • Your websiteFunding: a $12M round led by Variant and Polychain Capital closed in December 2024, bringing total funding to $20M "to Advance GPU Marketplace and Serverless Inference". Advisors include Databricks co-founder Reynold Xin and Prof. Yi Ma.Source
    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source

Wildcards 3

Unexpected experiments, each with a cheap way to test it.

  • 20

    Hyperbolic plans to grow from about 30 to 70-100 people and wants an employer brand, while marketing needs credible technical content. Forge, Flux and multi-cloud inference are hard problems that engineers like to read about.

    Medium impactLow effort First result in 1 quarter Head of Talent

    First action

    Pick the first topic with the inference team.

    How to measure it

    Applicants citing the blog

    Now
    –
    Target
    20 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick topics

      Three posts.

      Head of Talent 1 week

    2. 2

      Write

      Engineer-signed.

      Member of Technical Staff - Inference 1 month

    3. 3

      Edit

      Clarity and claims.

      Head of Marketing 1 week

    4. 4

      Publish

      With roles and credits.

      Head of Marketing monthly

    5. 5

      Share

      Hacker News, X, LinkedIn.

      Head of Marketing monthly

    6. 6

      Track

      Applicants and sign-ups.

      Head of Talent monthly

    First result
    1 quarter
    Cost
    Engineer time
    Owner
    Head of Talent

    Smallest test

    Publish one post on Forge internals.

    Why it works

    Publish one deep technical post a month from the team (KV-cache orchestration, heterogeneous clusters, failure detection), signed by the engineer, with a link to open roles and a free-credit link.

    The same post attracts candidates and developer users, which halves the cost of each.

    Risks and how to handle them

    • Engineers too busy

      Interview them and ghost-write drafts for review.

    Evidence

    • HiringHead of Talent (posted October 5, 2026): growth "from ~30 to ~70-100 employees in the next 6-12 months", tooling to "run 60+ hires per year", and "Build Hyperbolic's employer brand". Sixteen roles are open, eight of them in engineering (careers board, October 22, 2026).Source
    • HiringMember of Technical Staff - Inference (posted September 9, 2026): build inference on Forge, "our unified control plane, so customers can consume model tokens without managing GPUs and our NeoCloud partners get a full-stack path to their own token-factory offering"; deployment across clusters "distributed around the world, on heterogeneous hardware", then optimization, autoscaling and "customer inference debugging".Source
    • Your websiteRecent launches on the blog: Flux inference ("Next-Generation Inference Powered by Multi-Cloud Orchestration", October 21, 2026), Managed Kubernetes for GPU workloads "Now in Beta" (October 13, 2026), Forge (June 10, 2026), on-demand reservations up to 30 days (February 2026) and dedicated model hosting (January 2026).Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source
  • 21

    The site has no newsletter sign-up, and the monthly recap series stopped in May 2025, while launches have kept coming (Forge, reservations, Kubernetes, Flux). Many of the 250,000+ builders may not know what has shipped.

    Medium impactLow effort First result in 1 month Head of Marketing

    First action

    Draft October's recap with Flux and Kubernetes.

    How to measure it

    Accounts reactivated per send

    Now
    –
    Target
    500
    By
    2 quarters

    Steps

    1. 1

      Draft

      Monthly template.

      Head of Marketing 1 week

    2. 2

      Add sign-up

      Blog form in HubSpot.

      Member of Technical Staff - Full Stack 1 day

    3. 3

      Segment

      Active and dormant users.

      Data Analyst 1 week

    4. 4

      Send

      Monthly.

      Head of Marketing monthly

    5. 5

      Measure

      Reactivation and spend.

      Data Analyst monthly

    6. 6

      Improve

      Test subject lines.

      Head of Marketing monthly

    First result
    1 month
    Cost
    $0
    Owner
    Head of Marketing

    Smallest test

    Send October's recap.

    Why it works

    Send a monthly email to all users and a sign-up form on the blog: launches, new models, price moves and one customer story. Track reactivated accounts.

    Dormant users who come back cost nothing to acquire.

    Risks and how to handle them

    • Unsubscribes

      Keep it monthly and short.

    Evidence

    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • Your websiteRecent launches on the blog: Flux inference ("Next-Generation Inference Powered by Multi-Cloud Orchestration", October 21, 2026), Managed Kubernetes for GPU workloads "Now in Beta" (October 13, 2026), Forge (June 10, 2026), on-demand reservations up to 30 days (February 2026) and dedicated model hosting (January 2026).Source
    • Your websiteHomepage: "Liquidity AI Infra for Global Compute"; "Trusted by 250,000+ builders"; four products (On-Demand GPU Compute, Inference, Managed Kubernetes, Private Cloud); audience blocks for startups, researchers, enterprise platform teams, neoclouds and developer platforms; the neocloud block's "Grow Your GPU Cloud" button is a mailto link to one person's inbox; "Zero Quota Limit for GPU rentals"; 14 testimonials, including Higgsfield, converted from on-demand to "a reserved contract at a rate that was 35% cheaper than on-demand and 20% cheaper than anything else we were seeing in the market".Source
    • Your websiteSite stack: Next.js on Vercel, HubSpot (forms and chat) and Google Tag Manager; "Schedule a Call" goes to a Calendly sales-demo page; sign-up and log-in live on app.hyperbolic.ai. No newsletter sign-up on the site.Source
  • 22

    The homepage links to /home-page-new and /about-new, which serve copies of the home and about pages. Duplicates split analytics and can confuse visitors who land on them.

    Medium impactLow effort First result in 1 week Head of Marketing

    First action

    Redirect both pages today.

    How to measure it

    Views on duplicate pages

    Now
    –
    Target
    0
    By
    30 days

    Steps

    1. 1

      Redirect

      Both pages.

      Member of Technical Staff - Full Stack 1 hour

    2. 2

      Remove links

      From the homepage.

      Member of Technical Staff - Full Stack 1 hour

    3. 3

      Check analytics

      Merge page data.

      Data Analyst 1 day

    4. 4

      Deploy check

      No draft routes public.

      Member of Technical Staff - Full Stack 1 day

    5. 5

      Audit

      Other draft routes.

      Member of Technical Staff - Full Stack 1 day

    6. 6

      Repeat

      Each release.

      Member of Technical Staff - Full Stack ongoing

    First result
    1 week
    Cost
    $0
    Owner
    Head of Marketing

    Smallest test

    Redirect /home-page-new.

    Why it works

    Redirect both to their live pages, remove the links, and add a check in the deploy process that draft pages are not public.

    Clean analytics make the new marketing function's numbers trustworthy from day one.

    Risks and how to handle them

    • Someone uses the drafts

      Move drafts to a preview deployment.

    Evidence

    • Your websiteSitemap (checked October 22, 2026): eight site pages (home, about, inference, marketplace, blog, privacy, privacy FAQ, terms) and 99 blog posts. No pricing page (/pricing returns 404), no per-GPU or per-model pages, no comparison pages and no case-study section; the only case studies are two blog posts from 2025 (Reve AI, "300 Billion Tokens", and an LMSYS research write-up). Blog posts do have their own titles, e.g. "NVIDIA H200 Price in 2026" and "How Much Compute Do You Actually Need?". The monthly recap series stopped in May 2025.Source
    • Your websiteSite stack: Next.js on Vercel, HubSpot (forms and chat) and Google Tag Manager; "Schedule a Call" goes to a Calendly sales-demo page; sign-up and log-in live on app.hyperbolic.ai. No newsletter sign-up on the site.Source
    • HiringHead of Marketing (San Francisco, posted September 9, 2026): "brand marketing and PR strategies that resonate with developers and enterprise leaders"; a "highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products"; "translate complex infrastructure into clear and credible narratives"; "building a marketing function from the ground up"; preferred: "build and manage a diverse ecosystem of partners, contributors, and community advocates" and "proactive channel growth tactics and creative experimentation".Source

03

How Programmable can help

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ProgrammableDigital

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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on October 23, 2026, and cites them throughout. Hyperbolic did not commission, review or endorse it, and Programmable is not affiliated with Hyperbolic. Company and product names are trademarks of their owners, used only to identify them. The ideas are suggestions and opinion, not professional, legal or financial advice, and not statements about how Hyperbolic runs its business.

Something wrong, or do you represent Hyperbolic? Email [email protected] and we will correct it or take it down.

30/60/90 roadmap

What to focus on in each month, and the ideas that carry it.

  1. Days 1 to 308 ideas

    Page titles and /pricing, homepage speed, the Higgsfield story, call context, the supplier page and a shared funnel; redirect the duplicate pages and restart the monthly recap.

  2. Days 31 to 6011 ideas

    Model pages, the GPU price index, comparison pages, reserved upgrade offers, public runbooks, the Kubernetes design partners, referral and partner programmes, case studies, day-zero models and the compute calculator; start the engineering blog.

  3. Days 61 to 903 ideas

    Commit to the big bets: the token factory for neoclouds, the reliability scorecard and university compute grants.

The research behind the plan

3 research areas, each summarised in a few lines. Open any of them for the full detail.

Customers

What customers say

Customers value capacity fast, without quotas or long procurement. The most cited problem: GPU availability and quota limits elsewhere.

  • Prices below the big clouds
  • Lengthy procurement and sales calls
  • In their words: “on-demand”

Market

Competitive landscape

5 competitors compared: Lambda, Runpod, Together AI, Vast.ai and 1 more.

  • Gap to exploit: Transparent marketplace pricing over time
  • Lambda: Own fleet only, not a multi-supplier marketplace
  • Runpod: Less focus on large reserved clusters

Hiring signals

Hyperbolic is building its go-to-market from scratch around new products.

  • Head of Marketing: Brand, PR and how users sign up. Ideas 1, 3, 7, 9, 14.
  • GTM (Operations): CRM, quotes and meeting prep in HubSpot. Ideas 4, 10.
  • Senior Data Engineer: First data engineer as inference launches. Ideas 6, 8.

From the team that wrote this playbook

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