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  • The brief
  • Start here
  • Idea portfolio
  • Effort vs impact
  • This week · 5
  • This quarter · 11
  • Big bets · 4
  • Wildcards · 1
  • How we can help
Generated Oct 26, 2026
  1. Programmable
  2. Playbooks
  3. Kernel
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growth playbook · Oct 26, 2026

kernel.ai (opens in a new tab)

Kernel growth playbook

Diagnosis

Kernel is a London company growing several times a year (its job posts say 5x and 10x) with a working outbound motion and big customers such as Gong, AlphaSense and Mistral. It is now hiring to scale: a first Product Marketing Lead, a BDR Manager and BDRs, enterprise and mid-market AEs, an expansion Account Manager, a first RevOps Lead and an AI Ops Engineer.

The gaps are in the story and the shop window: job posts sell "the business registry for agents" while the site sells CRM cleanup, facts like funding and growth differ, real visitors see the homepage jump, five visitor-ID tools slow it, the data demo is invisible to crawlers, and there is no partner page or self-serve API.

This playbook aligns the story first, then builds proof (samples, Kernel on Kernel, money outcomes), outbound triggers and expansion from Kernel's own hierarchies, and bets on a self-serve API, a finance buyer, platform connectors and an open accuracy benchmark.

Growth Score

7/10

Biggest Opportunity

Use Kernel's own data on itself: its hierarchies to expand customers, its triggers for outbound, its resolver on its own forms and CRM, and its baselines as published research.

Biggest Risk

Moving to "registry for agents" puts Kernel in a crowded, confusing name space while Traction Complete, Dun & Bradstreet, ZoomInfo and Clay keep competing for today's RevOps budget.

01

Start here

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

  1. 1

    Your job posts sell "the business registry for agents"; your homepage still sells CRM cleanup. Pick one story and one fact sheet

    List every place the funding, growth figure and ID name appear, and agree one version.

    High impact First result in 1 month
  2. 2

    Stop the testimonial section from jumping: it is why real visitors fail Core Web Vitals

    Set a fixed height on the testimonial section.

    High impact First result in 1 month
  3. 3

    Five visitor-identification tools on one homepage: keep one, and feed it Kernel data

    List which of the five tools writes to Salesforce today.

    Medium impact First result in 1 month

02

Your idea portfolio

21 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.

    1 of these are things Programmable can build and run for you.

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 · 2Big bets · 9Fill-ins · 6Reconsider · 4
Effort →

Showing 21 of 21 ideas

This week 5

Quick wins with a clear first action.

  • 01

    Every Kernel job post opens with a sharp story: agents must know "which company is this?", and Kernel is "the business registry for agents" with a permanent KERN ID. The homepage tells a different one: "Accurate entity data, guaranteed", CRM data quality for RevOps, with agents as the seventh of seven use cases. And the facts move: the menu on every page says Kernel raised $14M, some job posts say $14M and others $20M, growth is 5x in some and 10x in one, the ID is "KERN ID" or "Kernel ID". The new Product Marketing Lead is hired to make Kernel "easy to understand and easy to buy"; the first job is to make the company tell one story.

    High impactLow effort First result in 1 month Product Marketing Lead

    First action

    List every place the funding, growth figure and ID name appear, and agree one version.

    How to measure it

    Homepage-to-demo conversion

    Now
    –
    Target
    +20%
    By
    60 days

    Steps

    1. 1

      Collect the claims

      Funding, growth, customers, ID name, accuracy stats across site, job posts and decks.

      Product Marketing Lead 1 day

    2. 2

      Agree the fact sheet

      One version of each, signed off by the founders.

      Product Marketing Lead 2 days

    3. 3

      Write the line

      Registry for agents, proved by guaranteed accuracy.

      Product Marketing Lead 3 days

    4. 4

      Sync job posts

      One boilerplate for every Ashby post.

      Founding Growth lead 1 day

    5. 5

      Update the menu promo

      Latest news instead of the $14M Series A.

      Product Marketing Lead 1 day

    6. 6

      Test the hero

      Registry-led hero against the current one.

      Founding Product Designer 3 weeks

    7. 7

      Reorder use cases

      Agents next to CRM accuracy.

      Founding Product Designer 1 day

    8. 8

      Brief sales

      Same line in decks and first calls.

      BDR Manager 1 day

    First result
    1 month
    Cost
    Staff time only
    Owner
    Product Marketing Lead

    Smallest test

    Agree the fact sheet and sync the job-post boilerplate this week.

    Why it works

    Write one positioning line and one fact sheet (funding, growth, customer names, the ID's name, the accuracy numbers) that the homepage, the menu promo, the job-post boilerplate, decks and the partner kit all copy. Test a homepage hero that leads with the registry and the KERN ID and keeps "accurate entity data, guaranteed" as the proof line, then move "Data for agent deployment" up to sit next to CRM accuracy. Replace the $14M Series A menu promo with the latest announcement once the fact sheet is agreed.

    Buyers, candidates and analysts compare what a company says in different places. One consistent story makes Kernel easier to repeat, and the registry framing separates it from data-cleaning tools like Traction Complete.

    Ready to use

    ChecklistOne-story checklist

    [ ] One positioning line
    [ ] Funding figure agreed
    [ ] Growth figure agreed
    [ ] ID name: KERN ID everywhere
    [ ] Customer list for public use
    [ ] Accuracy stats with method
    [ ] Homepage hero test live
    [ ] Menu promo updated
    [ ] Job-post boilerplate synced
    [ ] Sales deck first slide updated

    Risks and how to handle them

    • Registry framing confuses today's RevOps buyers

      Keep the CRM accuracy proof directly under the new line.

    • Unannounced numbers

      Publish only figures the founders want public.

    Evidence

    • HiringThe company description differs between Kernel's own job posts: all call Kernel "the business registry for agents"; the BDR, Commercial Associate and AE posts say "We have raised $14M" and "growing 5x YoY", the Product Marketing Lead and BDR Manager posts say "$20M" and 5x, and the RevOps Lead post says "$20M" and "growing 10x YoY"; most say "KERN ID" and list Checkout as a customer, the RevOps post says "Kernel ID" and lists Notion.Source
    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
    • HiringProduct Marketing Lead (London, posted September 30, 2026, £90K-£120K), "building product marketing from the ground up". Mission: "make Kernel easy to understand and easy to buy, for customers and for the partners who sell it." Owns "positioning and narrative", "the technical story", "announcements and launches", sales "messaging, demos and competitor comparisons", and "case studies and customer references", plus "the website".Source
    • Your websiteData for agent deployment page: "Kernel's data schema is the same for all records, across hundreds of millions of entries"; "All Kernel fields come with attached reasoning explainers. Your agents can use the evidence behind the data for email drafting, account research tools, competitor comparisons, or complex routing rules."Source
    • Competitor researchRivals' own homepages: Traction Complete, an "Agentic Data Management Suite for Salesforce" to "Route leads, dedupe records, and build hierarchies natively", "Trusted by 3,500+ RevOps leaders"; Dun & Bradstreet, "Verified business data and persistent identity"; ZoomInfo, "The #1 GTM Platform" with "the best B2B data"; Clay, "Build systems to grow revenue".Source
  • 02

    Google's data from real Chrome visitors shows Kernel's homepage fails Core Web Vitals on layout shift (0.37, target 0.1), and the element that moves is the "Leading RevOps and data teams trust Kernel at scale" testimonial section. Load time and responsiveness for real visitors are fine.

    High impactLow effort First result in 1 month Founding Product Designer

    First action

    Set a fixed height on the testimonial section.

    How to measure it

    Real-visitor layout shift

    Now
    –
    Target
    under 0.1
    By
    28 days

    Steps

    1. 1

      Find the cause

      Carousel script and late fonts.

      Senior Product Engineer 1 day

    2. 2

      Reserve space

      Fixed height and image sizes.

      Senior Product Engineer 1 day

    3. 3

      Render first slide

      In the HTML.

      Senior Product Engineer 1 day

    4. 4

      Remove clones

      Duplicate slides.

      Senior Product Engineer 1 hour

    5. 5

      Re-test

      PageSpeed lab.

      Senior Product Engineer 1 hour

    6. 6

      Confirm

      Search Console after 28 days.

      Founding Product Designer 1 month

    First result
    1 month
    Cost
    $0
    Owner
    Founding Product Designer

    Smallest test

    Fix the section height today and re-run PageSpeed.

    Why it works

    Give the testimonial carousel a fixed height before it loads, render the first slide in the HTML instead of building it with scripts, and remove the duplicated cloned slides. Re-run PageSpeed and check the Search Console Core Web Vitals report after 28 days.

    A page that jumps while a RevOps leader reads it undercuts a product that promises precision, and search ranking uses these numbers.

    Risks and how to handle them

    • Design changes

      Keep the look; only fix the space.

    Evidence

    • PageSpeed testGoogle PageSpeed for the homepage (October 23, 2026): real Chrome visitors fail Core Web Vitals on layout shift (0.37 against a 0.1 target; main content 2.3 s and taps 177 ms are fine), and the element that moves is the "Leading RevOps and data teams trust Kernel at scale" testimonial section. The mobile lab test scores 30/100 (desktop 52): 2.3 MB, 106 requests, 22 third-party services, render-blocking requests costing about 3.7 s. The third parties include five visitor-identification and enrichment tools: Koala, Unify, Leadfeeder, Vector and Clearbit.Source
    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
  • 03

    The homepage loads Koala, Unify, Leadfeeder, Vector and Clearbit, five tools that each try to identify the company behind a visit, among 22 third parties in total and 2.3 MB of page weight. For a company that sells one trusted identity per business, five competing guesses about each visitor is both slow and inconsistent.

    Medium impactLow effort First result in 1 month Revenue Operations Lead

    First action

    List which of the five tools writes to Salesforce today.

    How to measure it

    Visitor-ID tools

    Now
    –
    Target
    one
    By
    30 days

    Steps

    1. 1

      Audit

      What each tool feeds.

      Revenue Operations Lead 2 days

    2. 2

      Compare match rates

      Same week of visits.

      AI Ops Engineer 1 week

    3. 3

      Pick one

      Best match and price.

      Revenue Operations Lead 1 day

    4. 4

      Remove the rest

      From the tag manager.

      Senior Product Engineer 1 day

    5. 5

      Resolve to KERN ID

      Before writing to Salesforce.

      AI Ops Engineer 1 week

    6. 6

      Re-test speed

      PageSpeed after removal.

      Senior Product Engineer 1 hour

    First result
    1 month
    Cost
    Saves tool costs
    Owner
    Revenue Operations Lead

    Smallest test

    Remove the tool nobody reads today.

    Why it works

    The new RevOps Lead audits which tool actually feeds Salesforce and routing, keeps one, removes the rest, and resolves the identified company to a KERN ID before it reaches the CRM. Re-test page speed after each removal.

    Fewer tools mean a faster page, one version of each visiting account, and a live example of Kernel on Kernel for the sales team.

    Risks and how to handle them

    • Losing a signal sales likes

      Run two in parallel for one week before removing.

    Evidence

    • PageSpeed testGoogle PageSpeed for the homepage (October 23, 2026): real Chrome visitors fail Core Web Vitals on layout shift (0.37 against a 0.1 target; main content 2.3 s and taps 177 ms are fine), and the element that moves is the "Leading RevOps and data teams trust Kernel at scale" testimonial section. The mobile lab test scores 30/100 (desktop 52): 2.3 MB, 106 requests, 22 third-party services, render-blocking requests costing about 3.7 s. The third parties include five visitor-identification and enrichment tools: Koala, Unify, Leadfeeder, Vector and Clearbit.Source
    • HiringRevenue Operations Lead (posted October 21, 2026), "our first dedicated RevOps hire", to build "GTM systems that take us to $100m+ ARR", "make Salesforce the source of truth", improve "targeting, account prioritization, routing" and "deploy Kernel on Kernel's CRM, use it to improve our GTM data". An AI Ops Engineer (same date) will "automate the repetitive work in prospecting, account research, meeting prep and CRM hygiene" and also deploy Kernel on Kernel's CRM.Source
    • Your websiteKernel vs Dun & Bradstreet page: a KERN ID "spans legal entities, brands, sites, and operating units, resolved continuously by agents and written directly into Salesforce and Dynamics", against a D-U-N-S Number "tied to a legal entity, refreshed on a periodic cycle"; a table of seven capability differences.Source
  • 04

    The homepage invites visitors to "Explore the full Alphabet hierarchy", but the Explore page's plain HTML holds only a heading and "Expand all / Collapse all"; search engines and AI assistants that do not run scripts see an empty page. It is Kernel's best public demo of its data.

    Medium impactLow effort First result in 1 month Product Marketing Lead

    First action

    Check the page with scripts turned off.

    How to measure it

    Explore-page visits

    Now
    –
    Target
    +200%
    By
    90 days

    Steps

    1. 1

      Render server-side

      HTML hierarchy.

      Senior Product Engineer 3 days

    2. 2

      Add summary

      One paragraph.

      Product Marketing Lead 1 day

    3. 3

      Add explainers

      One per level.

      Product Marketing Lead 1 day

    4. 4

      Two more examples

      Well-known groups.

      Product Marketing Lead 1 week

    5. 5

      Add structured data

      Organization and parent links.

      Senior Product Engineer 1 day

    6. 6

      Track

      Search visits and demos.

      Founding Growth lead monthly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Product Marketing Lead

    Smallest test

    Turn scripts off and look at the page today.

    Why it works

    Render the hierarchy as HTML (parent, subsidiaries, brands, KERN IDs and one reasoning explainer), add a short written summary, and publish two more well-known hierarchies.

    A demo that crawlers can read can rank for "subsidiaries of" searches and be quoted by assistants.

    Risks and how to handle them

    • Giving data away

      Show public groups only, not customer data.

    Evidence

    • Your websiteThe "Explore Kernel data" page, linked from the homepage as "Explore the full Alphabet hierarchy", shows only its heading and "Data sets / Expand all / Collapse all" in the plain HTML; the hierarchy itself appears only after scripts run in a browser.Source
    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
    • Your websiteData for agent deployment page: "Kernel's data schema is the same for all records, across hundreds of millions of entries"; "All Kernel fields come with attached reasoning explainers. Your agents can use the evidence behind the data for email drafting, account research tools, competitor comparisons, or complex routing rules."Source
  • 05

    The Product Marketing Lead must make Kernel easy to buy "for the partners who sell it", but the 64-page sitemap has no partner page, no partner terms and no way for a consultancy or reseller to apply.

    Medium impactLow effort First result in 1 month Product Marketing Lead

    First action

    List the partners who already brought deals.

    How to measure it

    Partner-sourced opportunities

    Now
    –
    Target
    10 a quarter
    By
    2 quarters

    Steps

    1. 1

      List partners

      Current and wanted.

      Product Marketing Lead 2 days

    2. 2

      Set terms

      Referral and resale.

      CEO and Co-founder 1 week

    3. 3

      Write the page

      Who, what, how.

      Product Marketing Lead 2 days

    4. 4

      Partner kit

      One-pager and deck.

      Product Marketing Lead 1 week

    5. 5

      Form and routing

      To an owner in Salesforce.

      Revenue Operations Lead 1 day

    6. 6

      Launch

      Announce with one partner.

      Product Marketing Lead 1 day

    First result
    1 month
    Cost
    Staff time only
    Owner
    Product Marketing Lead

    Smallest test

    Publish a one-paragraph partner page with a form.

    Why it works

    Publish a partner page: who Kernel partners with (RevOps consultancies, Salesforce partners, agent builders), what partners get, a referral form and a one-page partner kit using the new fact sheet.

    Partners need a place to send clients and a reason to choose Kernel over a rival.

    Risks and how to handle them

    • Channel conflict

      Clear account registration rules.

    Evidence

    • HiringProduct Marketing Lead (London, posted September 30, 2026, £90K-£120K), "building product marketing from the ground up". Mission: "make Kernel easy to understand and easy to buy, for customers and for the partners who sell it." Owns "positioning and narrative", "the technical story", "announcements and launches", sales "messaging, demos and competitor comparisons", and "case studies and customer references", plus "the website".Source
    • Your websiteSitemap (64 URLs, read October 23, 2026): no pricing page and no partner page; three comparison pages (vs Dun & Bradstreet, vs Traction Complete, vs Clay) and three explainers (entity resolution, firmographic data, hierarchy data); five expert interviews and the founder sessions, the interviews all dated July 20, 2026.Source
    • HiringThe company description differs between Kernel's own job posts: all call Kernel "the business registry for agents"; the BDR, Commercial Associate and AE posts say "We have raised $14M" and "growing 5x YoY", the Product Marketing Lead and BDR Manager posts say "$20M" and 5x, and the RevOps Lead post says "$20M" and "growing 10x YoY"; most say "KERN ID" and list Checkout as a customer, the RevOps post says "Kernel ID" and lists Notion.Source

This quarter 11

The core plays for the next three months.

  • 06

    Kernel says accuracy rises from 14% to 90%+ on average, and BDRs work "pre-tiered accounts" by phone. A prospect's own numbers beat an average.

    High impactMedium effort First result in 1 month BDR Manager

    First action

    Run the sample for three prospects already in pipeline.

    How to measure it

    Sample-to-opportunity rate

    Now
    –
    Target
    40%
    By
    90 days

    Steps

    1. 1

      Define the sample

      500 accounts, three findings.

      Technical Product Manager 1 week

    2. 2

      Secure intake

      Upload and deletion rules.

      Implementation Lead 1 week

    3. 3

      Template readout

      Before and after.

      Product Marketing Lead 1 week

    4. 4

      Train BDRs

      Offer on calls.

      BDR Manager 2 days

    5. 5

      Run pilots

      Ten prospects.

      Senior Solutions Engineer 1 month

    6. 6

      Measure

      Opportunity and win rate.

      Revenue Operations Lead monthly

    First result
    1 month
    Cost
    Data and engineering time
    Owner
    BDR Manager

    Smallest test

    Run three samples by hand.

    Why it works

    Offer qualified prospects a free sample: resolve 500 of their accounts and return duplicates found, missing parents and wrong firmographics, with a 20-minute readout. BDRs book the readout, AEs run it.

    A sample turns an abstract data-quality claim into a list of the prospect's own errors.

    Risks and how to handle them

    • Data security concerns

      Use the trust center and delete samples after readout.

    Evidence

    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
    • HiringBusiness Development Representative and Commercial Associate (posted September 22, 2026): each owns "a book of pre-tiered accounts", prospects "using Kernel's data", works "primarily via calls (our main channel), LinkedIn DMs", likes "understanding the 'why now' behind prospects", and is encouraged to generate pipeline "by attending/organising events".Source
    • HiringBDR Manager (posted October 19, 2026): "In 2025 we grew ~5x with world class net dollar retention, mostly from founder-led sales, and now have AEs hitting quota with an emerging playbook." The manager will run "a team of ~10 BDRs across inbound and outbound", "define best-fit customer profile, targeting, and outbound messaging" and "Continuously iterate on outbound plays, channels, and sequences".Source
    • Your websiteCustomer proof: six case studies in the menu (n8n "50+ Reps", Ada "60,000+ accounts", Zip, AlphaSense "400+ Reps", GWI "replaced Dun & Bradstreet and cleaned 69,000 accounts", Mistral "100-rep sales team") and eight in the sitemap (adding Intigriti and CloudZero); announcements of new customers Fin, Ironclad, Legora, Greenhouse and Awardco; a July 8, 2026 post on the "Best quarter in Kernel history, our third straight record-breaker".Source
  • 07

    Both the RevOps Lead and the AI Ops Engineer are asked to "deploy Kernel on Kernel's CRM". That is a case study nobody else can write: a fast-growing company cleaning its own CRM with its own product, with numbers before and after.

    High impactMedium effort First result in 1 quarter Revenue Operations Lead

    First action

    Take the day-one baseline of Kernel's own CRM.

    How to measure it

    Opportunities citing the series

    Now
    –
    Target
    15
    By
    2 quarters

    Steps

    1. 1

      Baseline

      Accuracy, duplicates, routing.

      Revenue Operations Lead 1 week

    2. 2

      Deploy

      Kernel on Salesforce.

      Revenue Operations Lead 1 month

    3. 3

      Automate

      Agents on clean data.

      AI Ops Engineer 1 month

    4. 4

      Write week 1

      First numbers.

      Product Marketing Lead 1 week

    5. 5

      Publish monthly

      Updates.

      Product Marketing Lead monthly

    6. 6

      Use in sales

      Deck slide.

      Enterprise Account Executive ongoing

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Revenue Operations Lead

    Smallest test

    Write down the baseline this week.

    Why it works

    Measure Kernel's own CRM accuracy, duplicates and routing errors on day one, deploy Kernel, and publish a dated series (week 1, month 1, quarter 1) with the real numbers and what broke.

    Buyers trust a vendor that shows its own data, and the series gives the PMM regular content.

    Risks and how to handle them

    • Unflattering numbers

      Publish the start honestly; the improvement is the story.

    Evidence

    • HiringRevenue Operations Lead (posted October 21, 2026), "our first dedicated RevOps hire", to build "GTM systems that take us to $100m+ ARR", "make Salesforce the source of truth", improve "targeting, account prioritization, routing" and "deploy Kernel on Kernel's CRM, use it to improve our GTM data". An AI Ops Engineer (same date) will "automate the repetitive work in prospecting, account research, meeting prep and CRM hygiene" and also deploy Kernel on Kernel's CRM.Source
    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
    • HiringProduct Marketing Lead (London, posted September 30, 2026, £90K-£120K), "building product marketing from the ground up". Mission: "make Kernel easy to understand and easy to buy, for customers and for the partners who sell it." Owns "positioning and narrative", "the technical story", "announcements and launches", sales "messaging, demos and competitor comparisons", and "case studies and customer references", plus "the website".Source
  • 08

    BDRs are asked for the "why now" behind each prospect, and Kernel's case studies come from sales-team growth: n8n building for a "10x sales team expansion", Mistral for a "100-rep sales team". Kernel's own data can spot those moments.

    High impactMedium effort First result in 2 months BDR Manager

    First action

    Backtest triggers against the last 20 closed deals.

    How to measure it

    Meetings per BDR per week

    Now
    –
    Target
    +30%
    By
    90 days

    Steps

    1. 1

      Pick triggers

      Four events.

      BDR Manager 1 week

    2. 2

      Backtest

      Last 20 wins.

      AI Ops Engineer 1 week

    3. 3

      Automate lists

      Weekly into Salesforce.

      AI Ops Engineer 2 weeks

    4. 4

      Write openers

      One per trigger.

      BDR Manager 1 week

    5. 5

      Pilot

      Half the team.

      BDR Manager 1 month

    6. 6

      Compare

      Meetings and pipeline.

      Revenue Operations Lead monthly

    First result
    2 months
    Cost
    Staff time only
    Owner
    BDR Manager

    Smallest test

    Pull one week of RevOps-leader hires in the best-fit customer profile.

    Why it works

    Build weekly trigger lists: companies hiring a RevOps leader, adding many sales reps, acquiring a company, or opening a new region. Each list goes to the BDR who owns the account with a one-line opener.

    A trigger turns a cold call into a timely one.

    Risks and how to handle them

    • Too many triggers

      Cap at 20 accounts per BDR per week.

    Evidence

    • HiringBusiness Development Representative and Commercial Associate (posted September 22, 2026): each owns "a book of pre-tiered accounts", prospects "using Kernel's data", works "primarily via calls (our main channel), LinkedIn DMs", likes "understanding the 'why now' behind prospects", and is encouraged to generate pipeline "by attending/organising events".Source
    • HiringBDR Manager (posted October 19, 2026): "In 2025 we grew ~5x with world class net dollar retention, mostly from founder-led sales, and now have AEs hitting quota with an emerging playbook." The manager will run "a team of ~10 BDRs across inbound and outbound", "define best-fit customer profile, targeting, and outbound messaging" and "Continuously iterate on outbound plays, channels, and sequences".Source
    • Your websiteCustomer proof: six case studies in the menu (n8n "50+ Reps", Ada "60,000+ accounts", Zip, AlphaSense "400+ Reps", GWI "replaced Dun & Bradstreet and cleaned 69,000 accounts", Mistral "100-rep sales team") and eight in the sitemap (adding Intigriti and CloudZero); announcements of new customers Fin, Ironclad, Legora, Greenhouse and Awardco; a July 8, 2026 post on the "Best quarter in Kernel history, our third straight record-breaker".Source
    • Your websiteCareers page: "Build the source of truth for enterprise AI"; "~7B tokens processed per day", "1.8M+ agents running daily", "Petabytes of data scraped and processed"; "We combine AI agents with expert-led implementation to solve large-scale data problems for revenue teams."Source
  • 09

    Kernel has grown "without dedicated expansion resources" and the new Account Manager owns a $2M+ book. Kernel's product maps parents, subsidiaries and business units; the same map shows which units of each customer do not use Kernel yet.

    High impactMedium effort First result in 1 quarter Enterprise Account Manager

    First action

    Map the three largest customers' hierarchies.

    How to measure it

    Net revenue retention

    Now
    –
    Target
    +10 points
    By
    3 quarters

    Steps

    1. 1

      Map customers

      Top 20 hierarchies.

      Enterprise Account Manager 2 weeks

    2. 2

      Find gaps

      Units outside contract.

      Enterprise Account Manager 1 week

    3. 3

      Plan accounts

      With champions.

      Enterprise Account Manager 2 weeks

    4. 4

      Build ROI

      Per unit.

      Senior Solutions Engineer 2 weeks

    5. 5

      Run QBRs

      Show the map.

      Enterprise Account Manager quarterly

    6. 6

      Track

      Expansion pipeline.

      Revenue Operations Lead monthly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Enterprise Account Manager

    Smallest test

    Map the largest customer this week.

    Why it works

    Run each customer through Kernel's own hierarchy, list the units, regions and acquired brands outside the contract, and build an expansion plan per account with the champion.

    Expansion inside known accounts is the cheapest revenue, and the map makes the case concrete.

    Risks and how to handle them

    • Feels pushy

      Lead with data quality gains for the champion.

    Evidence

    • HiringEnterprise Account Manager (posted September 14, 2026): "We've grown fast without dedicated expansion resources, but the opportunity is massive. Our team has identified millions of dollars in qualified pipeline"; owns "a book of business worth $2M+ ARR" across companies of "~400-8,000 employees", measured on Net Revenue Retention.Source
    • Your websiteKernel vs Dun & Bradstreet page: a KERN ID "spans legal entities, brands, sites, and operating units, resolved continuously by agents and written directly into Salesforce and Dynamics", against a D-U-N-S Number "tied to a legal entity, refreshed on a periodic cycle"; a table of seven capability differences.Source
    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
  • 10

    The case studies lead with rep counts ("50+ Reps", "400+ Reps") and accounts cleaned, while AE posts say the impact "is measured in millions". The PMM owns "case studies and customer references".

    Medium impactMedium effort First result in 2 months Product Marketing Lead

    First action

    Ask two customers for one money number each.

    How to measure it

    Opportunities viewing a case study

    Now
    –
    Target
    60%
    By
    2 quarters

    Steps

    1. 1

      Template

      Five sections.

      Product Marketing Lead 2 days

    2. 2

      Interview

      Eight customers.

      Product Marketing Lead 1 month

    3. 3

      Rewrite

      All case studies.

      Product Marketing Lead 1 month

    4. 4

      Calculator

      From the numbers.

      Senior Product Engineer 2 weeks

    5. 5

      Sales use

      Per segment.

      Enterprise Account Executive ongoing

    6. 6

      Track

      Views in deals.

      Revenue Operations Lead monthly

    First result
    2 months
    Cost
    Staff time only
    Owner
    Product Marketing Lead

    Smallest test

    Add one money number to the GWI story.

    Why it works

    Rewrite each case study to the same structure: problem, accuracy before and after, time saved, revenue or pipeline effect, quote. Add a simple ROI calculator from those numbers.

    CROs and CIOs sign seven-figure deals on money outcomes.

    Risks and how to handle them

    • Customers will not share money

      Use time saved and accuracy instead.

    Evidence

    • Your websiteCustomer proof: six case studies in the menu (n8n "50+ Reps", Ada "60,000+ accounts", Zip, AlphaSense "400+ Reps", GWI "replaced Dun & Bradstreet and cleaned 69,000 accounts", Mistral "100-rep sales team") and eight in the sitemap (adding Intigriti and CloudZero); announcements of new customers Fin, Ironclad, Legora, Greenhouse and Awardco; a July 8, 2026 post on the "Best quarter in Kernel history, our third straight record-breaker".Source
    • HiringEnterprise Account Executive (posted October 14, 2026) and Mid-Market Account Executive (posted October 21): "we will close the first 7 figure deals this year"; "Many of our customers are on the West Coast"; opportunities "sourced for you by the SDR team and Growth team"; the team will "expand our best-fit customer profile & experiment in other verticals"; buyers include "VPs, CROs, CIOs, and senior RevOps leaders".Source
    • HiringProduct Marketing Lead (London, posted September 30, 2026, £90K-£120K), "building product marketing from the ground up". Mission: "make Kernel easy to understand and easy to buy, for customers and for the partners who sell it." Owns "positioning and narrative", "the technical story", "announcements and launches", sales "messaging, demos and competitor comparisons", and "case studies and customer references", plus "the website".Source
    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
  • 11

    Kernel has comparisons against Dun & Bradstreet, Traction Complete and Clay. Buyers also compare ZoomInfo and doing it in-house, and AEs need competitor comparisons from the PMM.

    Medium impactMedium effort First result in 1 month Product Marketing Lead

    First action

    Ask AEs which rival came up most last quarter.

    How to measure it

    Comparison-page demos

    Now
    –
    Target
    20 a quarter
    By
    2 quarters

    Steps

    1. 1

      Rank rivals

      From deals.

      Revenue Operations Lead 1 week

    2. 2

      Write pages

      Two new.

      Product Marketing Lead 2 weeks

    3. 3

      Competitor comparisons

      Matching.

      Product Marketing Lead 1 week

    4. 4

      Legal check

      Claims.

      CEO and Co-founder 1 week

    5. 5

      Publish

      With tables.

      Product Marketing Lead 1 day

    6. 6

      Refresh

      Quarterly.

      Product Marketing Lead quarterly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Product Marketing Lead

    Smallest test

    Publish the ZoomInfo page first.

    Why it works

    Add Kernel vs ZoomInfo and "Kernel vs building it in-house" (using the founder session on the alternative to Kernel), with dated tables and a proof link each; give AEs a matching competitor comparison.

    Comparison searches are late-stage and high intent.

    Risks and how to handle them

    • Out-of-date claims

      Date each page.

    Evidence

    • Your websiteSitemap (64 URLs, read October 23, 2026): no pricing page and no partner page; three comparison pages (vs Dun & Bradstreet, vs Traction Complete, vs Clay) and three explainers (entity resolution, firmographic data, hierarchy data); five expert interviews and the founder sessions, the interviews all dated July 20, 2026.Source
    • Competitor researchRivals' own homepages: Traction Complete, an "Agentic Data Management Suite for Salesforce" to "Route leads, dedupe records, and build hierarchies natively", "Trusted by 3,500+ RevOps leaders"; Dun & Bradstreet, "Verified business data and persistent identity"; ZoomInfo, "The #1 GTM Platform" with "the best B2B data"; Clay, "Build systems to grow revenue".Source
    • HiringProduct Marketing Lead (London, posted September 30, 2026, £90K-£120K), "building product marketing from the ground up". Mission: "make Kernel easy to understand and easy to buy, for customers and for the partners who sell it." Owns "positioning and narrative", "the technical story", "announcements and launches", sales "messaging, demos and competitor comparisons", and "case studies and customer references", plus "the website".Source
    • Your websiteKernel vs Dun & Bradstreet page: a KERN ID "spans legal entities, brands, sites, and operating units, resolved continuously by agents and written directly into Salesforce and Dynamics", against a D-U-N-S Number "tied to a legal entity, refreshed on a periodic cycle"; a table of seven capability differences.Source
  • 12

    Kernel has a podcast and five expert interviews with GTM operations leaders, all published on the same day (July 20, 2026). A batch is good; a cadence is better for audience and for BDR follow-up.

    Medium impactLow effort First result in 1 month Product Marketing Lead

    First action

    Book the next three guests.

    How to measure it

    Meetings influenced by the show

    Now
    –
    Target
    10 a quarter
    By
    2 quarters

    Steps

    1. 1

      Book guests

      Three months.

      Product Marketing Lead 2 weeks

    2. 2

      Record

      Monthly.

      Product Marketing Lead monthly

    3. 3

      Clip

      Three per episode.

      Product Marketing Lead monthly

    4. 4

      Promote

      LinkedIn and email.

      Founding Growth lead monthly

    5. 5

      BDR lists

      Guest peers.

      BDR Manager monthly

    6. 6

      Track

      Listens and meetings.

      Revenue Operations Lead monthly

    First result
    1 month
    Cost
    Recording costs
    Owner
    Product Marketing Lead

    Smallest test

    Record one episode this month.

    Build the prospect list. The list compiled from public sources, verified, deduplicated and delivered to your CRM. Usually live within days.

    Book a working session

    Why it works

    Publish one interview a month with a GTM or RevOps leader, cut three short clips each for LinkedIn, and give BDRs the guest's peers as a target list.

    A steady show builds an audience of the exact buyers, and guests share it.

    Risks and how to handle them

    • Guest no-shows

      Keep two recorded in reserve.

    Evidence

    • Your websiteSitemap (64 URLs, read October 23, 2026): no pricing page and no partner page; three comparison pages (vs Dun & Bradstreet, vs Traction Complete, vs Clay) and three explainers (entity resolution, firmographic data, hierarchy data); five expert interviews and the founder sessions, the interviews all dated July 20, 2026.Source
    • HiringBusiness Development Representative and Commercial Associate (posted September 22, 2026): each owns "a book of pre-tiered accounts", prospects "using Kernel's data", works "primarily via calls (our main channel), LinkedIn DMs", likes "understanding the 'why now' behind prospects", and is encouraged to generate pipeline "by attending/organising events".Source
    • HiringProduct Marketing Lead (London, posted September 30, 2026, £90K-£120K), "building product marketing from the ground up". Mission: "make Kernel easy to understand and easy to buy, for customers and for the partners who sell it." Owns "positioning and narrative", "the technical story", "announcements and launches", sales "messaging, demos and competitor comparisons", and "case studies and customer references", plus "the website".Source
  • 13

    Many customers are on the US West Coast, the team is in London, and BDRs are encouraged to organise events. Seven-figure enterprise deals need in-person trust.

    High impactMedium effort First result in 2 months Enterprise Account Executive

    First action

    Ask one West Coast customer to co-host.

    How to measure it

    Opportunities per dinner

    Now
    –
    Target
    3
    By
    2 quarters

    Steps

    1. 1

      Pick host

      A customer.

      Enterprise Account Executive 2 weeks

    2. 2

      Build list

      Best-fit customer profile leaders.

      Business Development Representative 2 weeks

    3. 3

      Invite

      Personal calls.

      Business Development Representative 3 weeks

    4. 4

      Run

      Dinner.

      Enterprise Account Executive 1 night

    5. 5

      Follow up

      Accuracy sample.

      Business Development Representative 1 week

    6. 6

      Track

      Pipeline.

      Revenue Operations Lead monthly

    First result
    2 months
    Cost
    Event costs
    Owner
    Enterprise Account Executive

    Smallest test

    Run one dinner with a customer host.

    Why it works

    Run quarterly dinners in San Francisco and Seattle for 12 RevOps and GTM operations leaders, hosted by a customer, with a short accuracy-sample offer for each guest.

    Small dinners with a customer host convert better than booths.

    Risks and how to handle them

    • Travel cost

      Combine with customer visits.

    Evidence

    • HiringEnterprise Account Executive (posted October 14, 2026) and Mid-Market Account Executive (posted October 21): "we will close the first 7 figure deals this year"; "Many of our customers are on the West Coast"; opportunities "sourced for you by the SDR team and Growth team"; the team will "expand our best-fit customer profile & experiment in other verticals"; buyers include "VPs, CROs, CIOs, and senior RevOps leaders".Source
    • HiringBusiness Development Representative and Commercial Associate (posted September 22, 2026): each owns "a book of pre-tiered accounts", prospects "using Kernel's data", works "primarily via calls (our main channel), LinkedIn DMs", likes "understanding the 'why now' behind prospects", and is encouraged to generate pipeline "by attending/organising events".Source
    • Your websiteCustomer proof: six case studies in the menu (n8n "50+ Reps", Ada "60,000+ accounts", Zip, AlphaSense "400+ Reps", GWI "replaced Dun & Bradstreet and cleaned 69,000 accounts", Mistral "100-rep sales team") and eight in the sitemap (adding Intigriti and CloudZero); announcements of new customers Fin, Ironclad, Legora, Greenhouse and Awardco; a July 8, 2026 post on the "Best quarter in Kernel history, our third straight record-breaker".Source
  • 14

    Searching for Kernel's funding returns other Kernels first: a browser-infrastructure startup for AI agents that raised $22 million, and the neurotech company at kernel.com. As Kernel moves toward "registry for agents", the name collides with another agent company.

    Medium impactLow effort First result in 1 quarter Product Marketing Lead

    First action

    Search the company name and note who ranks.

    How to measure it

    Top results for "Kernel business registry"

    Now
    –
    Target
    all Kernel
    By
    2 quarters

    Steps

    1. 1

      Agree the term

      KERN ID.

      Product Marketing Lead 1 day

    2. 2

      Write the page

      What is a KERN ID.

      Product Marketing Lead 1 week

    3. 3

      Update titles

      Site and docs.

      Senior Product Engineer 1 week

    4. 4

      Brief press

      Descriptor.

      Product Marketing Lead 1 day

    5. 5

      Job posts

      Same descriptor.

      Founding Growth lead 1 day

    6. 6

      Track

      Search results monthly.

      Founding Growth lead monthly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Product Marketing Lead

    Smallest test

    Publish the KERN ID page.

    Why it works

    Use "KERN ID" consistently as the product term, publish a "What is a KERN ID" page, put it in titles and docs, and use "Kernel, the business registry" in press and job posts.

    A unique term is easy to own in search and AI answers, while the plain name will keep being confused.

    Risks and how to handle them

    • Two names to remember

      Always pair them: Kernel and the KERN ID.

    Evidence

    • Search resultsA search for Kernel's funding returns other companies called Kernel first: Axios reported in October 2025 that "Kernel, a startup helping AI agents access the internet" raised $22 million led by Accel (a browser-infrastructure company), and kernel.com belongs to a neurotechnology company. The London Kernel appears as a separate Seedtable listing.Source
    • HiringThe company description differs between Kernel's own job posts: all call Kernel "the business registry for agents"; the BDR, Commercial Associate and AE posts say "We have raised $14M" and "growing 5x YoY", the Product Marketing Lead and BDR Manager posts say "$20M" and 5x, and the RevOps Lead post says "$20M" and "growing 10x YoY"; most say "KERN ID" and list Checkout as a customer, the RevOps post says "Kernel ID" and lists Notion.Source
    • Your websiteKernel vs Dun & Bradstreet page: a KERN ID "spans legal entities, brands, sites, and operating units, resolved continuously by agents and written directly into Salesforce and Dynamics", against a D-U-N-S Number "tied to a legal entity, refreshed on a periodic cycle"; a table of seven capability differences.Source
    • Your websiteKernel API page: "We're opening the Kernel API to a small group of builders. Tell us what you want to build, and if it's a fit we'll send you an API key with a starter allocation of credits"; three endpoints, Resolve (a messy name and domain to "a persistent KERN ID that survives rebrands, domain changes, and acquisitions"), Hierarchy and Enrich ("each value back with the reasoning attached"); "Access isn't instant."Source
  • 15

    The "Start cleaning your CRM today" form asks for six fields, including company name and phone, from people who already typed a work email. Kernel resolves a company from a name and a domain.

    Medium impactLow effort First result in 1 month AI Ops Engineer

    First action

    Remove the company-name field this week.

    How to measure it

    Form completion

    Now
    –
    Target
    +25%
    By
    60 days

    Steps

    1. 1

      Resolve domain

      On email entry.

      AI Ops Engineer 1 week

    2. 2

      Show it back

      Confirm line.

      Founding Product Designer 2 days

    3. 3

      Drop fields

      Company, phone optional.

      Senior Product Engineer 1 day

    4. 4

      Route

      By segment.

      Revenue Operations Lead 1 week

    5. 5

      Test

      Against old form.

      Founding Growth lead 1 month

    6. 6

      Apply

      To demo and API forms.

      Senior Product Engineer 1 week

    First result
    1 month
    Cost
    $0
    Owner
    AI Ops Engineer

    Smallest test

    Make phone optional today.

    Why it works

    Resolve the company from the email domain, show it back ("Acme Corp, 2,400 employees, correct?"), drop the company field, make phone optional, and route by segment.

    Shorter forms convert better, and the form itself demonstrates the product.

    Risks and how to handle them

    • Wrong match

      Let the visitor correct it.

    Evidence

    • Your websiteThe "Start cleaning your CRM today" page asks for work email, first name, last name, company name, phone number and a description of the challenge; the homepage "Book a demo" leads to a separate demo page.Source
    • Your websiteKernel API page: "We're opening the Kernel API to a small group of builders. Tell us what you want to build, and if it's a fit we'll send you an API key with a starter allocation of credits"; three endpoints, Resolve (a messy name and domain to "a persistent KERN ID that survives rebrands, domain changes, and acquisitions"), Hierarchy and Enrich ("each value back with the reasoning attached"); "Access isn't instant."Source
    • HiringRevenue Operations Lead (posted October 21, 2026), "our first dedicated RevOps hire", to build "GTM systems that take us to $100m+ ARR", "make Salesforce the source of truth", improve "targeting, account prioritization, routing" and "deploy Kernel on Kernel's CRM, use it to improve our GTM data". An AI Ops Engineer (same date) will "automate the repetitive work in prospecting, account research, meeting prep and CRM hygiene" and also deploy Kernel on Kernel's CRM.Source
  • 16

    Kernel combines "AI agents with expert-led implementation", and is hiring an Implementation Lead, a Client Delivery Lead and a Solutions Engineer. Buyers fear long data projects.

    Medium impactMedium effort First result in 1 quarter Implementation Lead

    First action

    Measure days to first clean territory for the last ten customers.

    How to measure it

    Median days to clean CRM

    Now
    –
    Target
    under 30
    By
    2 quarters

    Steps

    1. 1

      Measure

      Last ten customers.

      Implementation Lead 1 week

    2. 2

      Standard plan

      30 days.

      Implementation Lead 2 weeks

    3. 3

      Weekly reports

      To customers.

      Client Delivery Lead weekly

    4. 4

      Publish

      On the product page.

      Product Marketing Lead 1 day

    5. 5

      Sales use

      In proposals.

      Enterprise Account Executive ongoing

    6. 6

      Review

      Quarterly.

      Implementation Lead quarterly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Implementation Lead

    Smallest test

    Measure the last ten implementations.

    Why it works

    Measure the median days from contract to first clean territory across recent customers, publish it with a standard 30-day plan, and report progress to each customer weekly.

    A known timeline removes a major objection in enterprise deals.

    Risks and how to handle them

    • Slow outliers

      Publish the median and explain the range.

    Evidence

    • Your websiteCareers page: "Build the source of truth for enterprise AI"; "~7B tokens processed per day", "1.8M+ agents running daily", "Petabytes of data scraped and processed"; "We combine AI agents with expert-led implementation to solve large-scale data problems for revenue teams."Source
    • HiringEnterprise Account Executive (posted October 14, 2026) and Mid-Market Account Executive (posted October 21): "we will close the first 7 figure deals this year"; "Many of our customers are on the West Coast"; opportunities "sourced for you by the SDR team and Growth team"; the team will "expand our best-fit customer profile & experiment in other verticals"; buyers include "VPs, CROs, CIOs, and senior RevOps leaders".Source
    • Your websiteCustomer proof: six case studies in the menu (n8n "50+ Reps", Ada "60,000+ accounts", Zip, AlphaSense "400+ Reps", GWI "replaced Dun & Bradstreet and cleaned 69,000 accounts", Mistral "100-rep sales team") and eight in the sitemap (adding Intigriti and CloudZero); announcements of new customers Fin, Ironclad, Legora, Greenhouse and Awardco; a July 8, 2026 post on the "Best quarter in Kernel history, our third straight record-breaker".Source

Big bets 4

Larger plays that can change the trajectory.

  • 17

    The Kernel API is open to "a small group of builders" through an approval form, and "Access isn't instant". If agents are the next customers, their builders need to start in minutes.

    High impactHigh effort First result in 2 quarters Technical Product Manager

    First action

    Publish a price per call for the three endpoints.

    How to measure it

    Active builder accounts

    Now
    –
    Target
    500
    By
    3 quarters

    Steps

    1. 1

      Set limits

      Free allowance.

      Technical Product Manager 2 weeks

    2. 2

      Pricing

      Per call.

      CEO and Co-founder 2 weeks

    3. 3

      Self-serve keys

      Sign-up flow.

      Senior Product Engineer 1 month

    4. 4

      Docs

      Quickstarts.

      Technical Product Manager 1 month

    5. 5

      Abuse controls

      Rate limits.

      Senior Product Engineer 2 weeks

    6. 6

      Usage to sales

      Signals in Salesforce.

      Revenue Operations Lead 2 weeks

    7. 7

      Launch

      Announcement.

      Product Marketing Lead 1 day

    First result
    2 quarters
    Cost
    Engineering time
    Owner
    Technical Product Manager

    Smallest test

    Approve every waitlist request this week and watch usage.

    Why it works

    Launch a self-serve tier: sign up, get a key and a small free allowance of Resolve, Hierarchy and Enrich calls, public pricing per call, and an upgrade path to sales for volume.

    Developers adopt what they can try today, and usage shows sales which companies to call.

    Risks and how to handle them

    • Support load

      Docs and community first.

    Evidence

    • Your websiteKernel API page: "We're opening the Kernel API to a small group of builders. Tell us what you want to build, and if it's a fit we'll send you an API key with a starter allocation of credits"; three endpoints, Resolve (a messy name and domain to "a persistent KERN ID that survives rebrands, domain changes, and acquisitions"), Hierarchy and Enrich ("each value back with the reasoning attached"); "Access isn't instant."Source
    • Your websiteData for agent deployment page: "Kernel's data schema is the same for all records, across hundreds of millions of entries"; "All Kernel fields come with attached reasoning explainers. Your agents can use the evidence behind the data for email drafting, account research tools, competitor comparisons, or complex routing rules."Source
    • HiringProduct hiring: a Technical Product Manager comfortable with "evals for agents" and APIs, and a Founding Product Designer to "simplify complexity" and "Make a powerful product feel effortless".Source
    • Your websiteCareers page: "Build the source of truth for enterprise AI"; "~7B tokens processed per day", "1.8M+ agents running daily", "Petabytes of data scraped and processed"; "We combine AI agents with expert-led implementation to solve large-scale data problems for revenue teams."Source
  • 18

    The job posts name finance teams "chasing, writing off, or defaulting on bad debt", the homepage has a "Resolve bad debt" use case, Zip (procurement) is a customer, and AEs are told Kernel will "experiment in other verticals".

    High impactHigh effort First result in 2 quarters CEO and Co founder

    First action

    Interview five finance systems leaders at current customers.

    How to measure it

    Finance opportunities

    Now
    –
    Target
    10
    By
    3 quarters

    Steps

    1. 1

      Interview

      Five leaders.

      CEO and Co-founder 1 month

    2. 2

      Offer

      Finance package.

      Technical Product Manager 1 month

    3. 3

      Case study

      Zip.

      Product Marketing Lead 1 month

    4. 4

      Page

      Finance use case.

      Product Marketing Lead 2 weeks

    5. 5

      Outbound

      Finance list.

      BDR Manager 1 quarter

    6. 6

      Track

      Pipeline.

      Revenue Operations Lead monthly

    First result
    2 quarters
    Cost
    Staff time only
    Owner
    CEO and Co founder

    Smallest test

    Pitch the finance package to one current customer.

    Why it works

    Build a finance and procurement offer: supplier and customer master data, credit-bureau matching, a case study from Zip, and outbound to finance systems leaders.

    A second buyer in the same company raises deal size and protects against RevOps budget cuts.

    Risks and how to handle them

    • Spreading too thin

      Pilot with existing customers first.

    Evidence

    • HiringEnterprise Account Executive (posted October 14, 2026) and Mid-Market Account Executive (posted October 21): "we will close the first 7 figure deals this year"; "Many of our customers are on the West Coast"; opportunities "sourced for you by the SDR team and Growth team"; the team will "expand our best-fit customer profile & experiment in other verticals"; buyers include "VPs, CROs, CIOs, and senior RevOps leaders".Source
    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
    • Your websiteCustomer proof: six case studies in the menu (n8n "50+ Reps", Ada "60,000+ accounts", Zip, AlphaSense "400+ Reps", GWI "replaced Dun & Bradstreet and cleaned 69,000 accounts", Mistral "100-rep sales team") and eight in the sitemap (adding Intigriti and CloudZero); announcements of new customers Fin, Ironclad, Legora, Greenhouse and Awardco; a July 8, 2026 post on the "Best quarter in Kernel history, our third straight record-breaker".Source
    • HiringThe company description differs between Kernel's own job posts: all call Kernel "the business registry for agents"; the BDR, Commercial Associate and AE posts say "We have raised $14M" and "growing 5x YoY", the Product Marketing Lead and BDR Manager posts say "$20M" and 5x, and the RevOps Lead post says "$20M" and "growing 10x YoY"; most say "KERN ID" and list Checkout as a customer, the RevOps post says "Kernel ID" and lists Notion.Source
  • 19

    Kernel says agents can use its reasoning "for email drafting, account research tools, competitor comparisons, or complex routing rules", and n8n, a workflow automation platform, is a customer. The registry wins if builders meet it where they work.

    High impactHigh effort First result in 2 quarters Technical Product Manager

    First action

    Build the n8n node and ask n8n for a joint post.

    How to measure it

    Monthly connector calls

    Now
    –
    Target
    1 million
    By
    3 quarters

    Steps

    1. 1

      Pick platforms

      Three.

      Technical Product Manager 2 weeks

    2. 2

      Build connectors

      First one.

      Senior Product Engineer 1 month

    3. 3

      Templates

      Five workflows.

      Technical Product Manager 1 month

    4. 4

      Co-market

      Joint launch.

      Product Marketing Lead 1 month

    5. 5

      Listing

      Platform marketplaces.

      Product Marketing Lead 2 weeks

    6. 6

      Track

      Calls and sign-ups.

      Revenue Operations Lead monthly

    First result
    2 quarters
    Cost
    Engineering time
    Owner
    Technical Product Manager

    Smallest test

    Publish one n8n template.

    Why it works

    Ship official connectors for the workflow and agent platforms customers use (starting with n8n), a ready-made "resolve this company" step, and co-marketing with each platform.

    Distribution through platforms reaches thousands of builders at once.

    Risks and how to handle them

    • Free-riding usage

      Connectors need an API key and allowance.

    Evidence

    • Your websiteData for agent deployment page: "Kernel's data schema is the same for all records, across hundreds of millions of entries"; "All Kernel fields come with attached reasoning explainers. Your agents can use the evidence behind the data for email drafting, account research tools, competitor comparisons, or complex routing rules."Source
    • Your websiteCustomer proof: six case studies in the menu (n8n "50+ Reps", Ada "60,000+ accounts", Zip, AlphaSense "400+ Reps", GWI "replaced Dun & Bradstreet and cleaned 69,000 accounts", Mistral "100-rep sales team") and eight in the sitemap (adding Intigriti and CloudZero); announcements of new customers Fin, Ironclad, Legora, Greenhouse and Awardco; a July 8, 2026 post on the "Best quarter in Kernel history, our third straight record-breaker".Source
    • Your websiteKernel API page: "We're opening the Kernel API to a small group of builders. Tell us what you want to build, and if it's a fit we'll send you an API key with a starter allocation of credits"; three endpoints, Resolve (a messy name and domain to "a persistent KERN ID that survives rebrands, domain changes, and acquisitions"), Hierarchy and Enrich ("each value back with the reasoning attached"); "Access isn't instant."Source
  • 20

    The homepage claims Kernel is "4x More accurate than legacy data tools" and an announcement says n8n found it 4x more accurate. Enterprise buyers and analysts trust a published method more than a claim.

    High impactHigh effort First result in 2 quarters CEO and Co founder

    First action

    Write the method on one page.

    How to measure it

    Benchmark citations

    Now
    –
    Target
    25
    By
    3 quarters

    Steps

    1. 1

      Build set

      Labelled records.

      Technical Product Manager 1 month

    2. 2

      Method

      Scoring rules.

      Technical Product Manager 2 weeks

    3. 3

      Run

      Kernel and alternatives.

      Senior Product Engineer 1 month

    4. 4

      Legal check

      Naming rivals.

      CEO and Co-founder 2 weeks

    5. 5

      Publish

      Report and data.

      Product Marketing Lead 1 week

    6. 6

      Repeat

      Twice a year.

      Technical Product Manager 6 months

    First result
    2 quarters
    Cost
    Staff time
    Owner
    CEO and Co founder

    Smallest test

    Publish the method first.

    Why it works

    Release an open benchmark: a labelled set of hard company records (rebrands, acquisitions, subsidiaries), the scoring method and results for Kernel and named alternatives, refreshed twice a year.

    A benchmark becomes the reference others must answer to.

    Risks and how to handle them

    • Rivals dispute it

      Publish the data so anyone can rerun it.

    Evidence

    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
    • Your websiteCustomer proof: six case studies in the menu (n8n "50+ Reps", Ada "60,000+ accounts", Zip, AlphaSense "400+ Reps", GWI "replaced Dun & Bradstreet and cleaned 69,000 accounts", Mistral "100-rep sales team") and eight in the sitemap (adding Intigriti and CloudZero); announcements of new customers Fin, Ironclad, Legora, Greenhouse and Awardco; a July 8, 2026 post on the "Best quarter in Kernel history, our third straight record-breaker".Source
    • Competitor researchRivals' own homepages: Traction Complete, an "Agentic Data Management Suite for Salesforce" to "Route leads, dedupe records, and build hierarchies natively", "Trusted by 3,500+ RevOps leaders"; Dun & Bradstreet, "Verified business data and persistent identity"; ZoomInfo, "The #1 GTM Platform" with "the best B2B data"; Clay, "Build systems to grow revenue".Source
    • HiringProduct hiring: a Technical Product Manager comfortable with "evals for agents" and APIs, and a Founding Product Designer to "simplify complexity" and "Make a powerful product feel effortless".Source

Wildcards 1

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

  • 21

    Kernel measures accuracy before and after for every customer (the 14% to 90%+ average). Nobody publishes how bad CRM account data really is by industry and company size.

    Medium impactMedium effort First result in 2 months Product Marketing Lead

    First action

    Pull baselines from the last 20 customers.

    How to measure it

    Meetings from the report

    Now
    –
    Target
    20
    By
    2 quarters

    Steps

    1. 1

      Pull data

      Baselines.

      Technical Product Manager 2 weeks

    2. 2

      Privacy check

      Aggregates only.

      CEO and Co-founder 1 week

    3. 3

      Write

      Report.

      Product Marketing Lead 1 month

    4. 4

      Design

      Charts.

      Founding Product Designer 2 weeks

    5. 5

      Launch

      Press and show.

      Product Marketing Lead 1 day

    6. 6

      Follow up

      BDR sequence.

      BDR Manager 1 month

    First result
    2 months
    Cost
    Design time
    Owner
    Product Marketing Lead

    Smallest test

    Publish one chart on LinkedIn.

    Why it works

    Aggregate anonymised day-one baselines into an annual report: share of duplicates, missing parents, wrong headcounts, by segment. Launch it at the dinners and on the show.

    Original numbers get press, links and RevOps attention.

    Risks and how to handle them

    • Customer consent

      Check contracts allow aggregate use.

    Evidence

    • Your websiteHomepage (checked October 23, 2026): title "Kernel · Accurate entity data, guaranteed."; headline "Make Kernel responsible for data quality. Grow confidently with data you trust."; seven use cases, with "Data for agent deployment" listed last; claims "14% → 90%+ Average increase in CRM record accuracy", "4x More accurate than legacy data tools" and "Full Coverage of the B2B economy". The menu on every page promotes "Series A Announcement: Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet."Source
    • Your websiteCustomer proof: six case studies in the menu (n8n "50+ Reps", Ada "60,000+ accounts", Zip, AlphaSense "400+ Reps", GWI "replaced Dun & Bradstreet and cleaned 69,000 accounts", Mistral "100-rep sales team") and eight in the sitemap (adding Intigriti and CloudZero); announcements of new customers Fin, Ironclad, Legora, Greenhouse and Awardco; a July 8, 2026 post on the "Best quarter in Kernel history, our third straight record-breaker".Source
    • Your websiteCareers page: "Build the source of truth for enterprise AI"; "~7B tokens processed per day", "1.8M+ agents running daily", "Petabytes of data scraped and processed"; "We combine AI agents with expert-led implementation to solve large-scale data problems for revenue teams."Source

03

How Programmable can help

Where an idea in this playbook is something Programmable builds or runs, it's listed here with what we'd do. Everything else is yours to run.

Have it built

ProgrammableAgency

1 of the 21 ideas are things Programmable builds and runs for its customers: pages, outreach, prospect lists, booking flows and monitors. Pick one, or send the whole list.

Prospect lists1The list compiled from public sources, verified, deduplicated and delivered to your CRM.

A 30-minute session with the engineer who would build it, not a sales call. You leave with a plan whether or not you hire us.

Book a working session

Usually live within days.

Tools for the rest

ProgrammableTalk

Fill the events in this plan

These ideas are events. Talk gets registrants for them and tells you who's coming and what their company does before the day.

Plan an event (opens programmable.talk in a new tab)
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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on October 26, 2026, and cites them throughout. Kernel did not commission, review or endorse it, and Programmable is not affiliated with Kernel. 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 Kernel runs its business.

Something wrong, or do you represent Kernel? 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 306 ideas

    One story and fact sheet, the layout-shift fix, one visitor-ID tool, a readable data demo, the partner page and the shorter form.

  2. Days 31 to 6010 ideas

    Accuracy samples, Kernel on Kernel, trigger lists, hierarchy-based expansion, money-outcome case studies, new comparisons, the monthly show, West Coast dinners, the KERN ID term and the implementation promise.

  3. Days 61 to 905 ideas

    Commit to the big bets: self-serve API, the finance buyer, platform connectors, the open benchmark and the state-of-data report.

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 accuracy guaranteed, with errors fixed by Kernel. The most cited problem: duplicate accounts and missing parents.

  • Reasoning and sources on every data point
  • Stale enrichment data
  • In their words: “clean CRM”

Market

Competitive landscape

4 competitors compared: Dun & Bradstreet, Traction Complete, ZoomInfo and Clay.

  • Gap to exploit: A guaranteed identity layer for AI agents
  • Dun & Bradstreet: Legal-entity only, periodic refresh
  • Traction Complete: Tooling rather than guaranteed data

Hiring signals

Kernel is moving from founder-led sales to a scaled revenue engine.

  • Product Marketing Lead: Make Kernel easy to understand and buy, for customers and partners. Ideas 1, 5, 10.
  • BDR Manager: ~10 BDRs; best-fit customer profile, targeting and outbound plays. Ideas 6, 8.
  • Business Development Representative: Calls into pre-tiered accounts; events encouraged. Ideas 8, 13.

From the team that wrote this playbook

All products
  • ProgrammableAgencyWorking AI systems in days, not quarters (opens programmable.agency in a new tab)
  • ProgrammableInfoAn agent that finds, researches and asks first (opens programmable.info in a new tab)
  • ProgrammableDigitalScreenshots in, an animated product demo out (opens programmable.digital in a new tab)
  • ProgrammableWatchKnow the day a supplier falls out of compliance (opens programmable.watch in a new tab)
  • ProgrammableTalkGet registrants for your events, and know who’s coming (opens programmable.talk in a new tab)
  • ProgrammablePageText what you need, your customer gets a page that works (opens programmable.page in a new tab)
  • ProgrammableCommunityForums with labelled AI members, never empty (opens programmable.community in a new tab)
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