ProgrammableMarketing/speechmatics.com (opens in a new tab)
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  • Plan
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  • Research

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  • The brief
  • Start here
  • Idea portfolio
  • Effort vs impact
  • This week · 6
  • This quarter · 9
  • Big bets · 3
  • Wildcards · 3
Generated Oct 23, 2026
  1. Programmable
  2. Playbooks
  3. Speechmatics
Speechmatics logo

growth playbook · Oct 23, 2026

speechmatics.com (opens in a new tab)

Speechmatics growth playbook

Diagnosis

Speechmatics has a strong product story (55+ languages in one model, medical and voice-agent models, on-device) and is hiring for self-serve growth: a Growth Engineer for the website and portal, a Website Coordinator for search and AI search, a San Francisco DevRel Advocate for US growth, a product-minded front-end engineer, Solutions Engineers in Belgrade and Mexico City and senior BDRs.

The site works against it: a 45/100 mobile score with real visitors failing responsiveness and 16 third-party services, a sitemap that leaves out 10 of 11 case studies while listing test pages, and an English-only site for a multilingual product.

This playbook fixes speed, discoverability and free-tier conversion first, then builds activation, voice-agent templates, a Latin American path, a medical launch, a PoC kit and a public accuracy leaderboard.

Growth Score

7/10

Biggest Opportunity

Turn self-serve developers into revenue: a fast site, a clear first transcript, upgrade prompts at the free-tier limit, and enterprise sign-ups routed to sales.

Biggest Risk

Deepgram, AssemblyAI, Gladia and Soniox all sell fast, multilingual APIs to the same voice-agent developers; if Speechmatics' site is slow and its proof is hard to find, the accuracy lead will not show.

01

Start here

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

  1. 1

    Make the website as fast as the "350ms" product: fix the slow cookie banner and trim 16 tracking tools

    List which of the 16 third-party tools anyone reports on, and remove the rest.

    High impact First result in 1 month
  2. 2

    Put the 10 missing case studies and use cases into the sitemap, and take the test pages out

    Add the 10 missing case-study URLs to the sitemap today.

    High impact First result in 2 weeks
  3. 3

    Show the upgrade at the moment a free real-time user hits two concurrent sessions

    Query how many free accounts hit the limit last month.

    High impact First result in 2 weeks

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.

  • 8 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 · 3Big bets · 10Fill-ins · 7Reconsider · 1
Effort →

Showing 21 of 21 ideas

This week 6

Quick wins with a clear first action.

  • 01

    Speechmatics sells "real-time speech-to-text in 350ms", but its homepage scores 45/100 on mobile. In Google's phone test the main element takes 11.8 seconds to appear, and that element is the cookie-consent text. Real visitors fail Google's responsiveness test (375 ms, the limit is 200 ms). The page loads 1.76 MB of JavaScript, a third of it unused, and 16 third-party services, including tags from X, Reddit, Bing and Spotify. The new Growth Engineer is hired to own exactly this: site speed and self-serve conversion.

    High impactMedium effort First result in 1 month Growth Engineer

    First action

    List which of the 16 third-party tools anyone reports on, and remove the rest.

    How to measure it

    Mobile homepage sign-up rate

    Now
    –
    Target
    +15%
    By
    60 days

    Steps

    1. 1

      Audit tags

      Owner and use for each of the 16 services.

      Growth Engineer 1 day

    2. 2

      Remove unused tags

      Drop the ones with no owner.

      Growth Engineer 1 day

    3. 3

      Light cookie banner

      Static HTML first, consent tool after.

      Growth Engineer 3 days

    4. 4

      Defer pixels

      After consent and interaction.

      Growth Engineer 2 days

    5. 5

      Split the demo

      Load the live demo on click.

      Senior Software Engineer - Front-End 1 week

    6. 6

      Budget in CI

      Fail deploys over the JavaScript budget.

      Growth Engineer 2 days

    7. 7

      Measure

      Field INP and sign-ups weekly.

      Growth Engineer weekly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Growth Engineer

    Smallest test

    Defer the X, Reddit and Spotify pixels and re-run PageSpeed the same day.

    Why it works

    Render the cookie banner as light HTML before Cookiebot loads, load marketing pixels only after consent and after the page is interactive, remove the tags no one reports on, split the homepage JavaScript so the live transcription demo loads on click, and set a performance budget checked on every Vercel deploy.

    Developers judge an API company by its site, and the self-serve funnel starts on this page; a faster page lifts sign-ups and stops the site from contradicting the latency pitch.

    Ready to use

    ChecklistHomepage speed list

    [ ] Owner named for each third-party service
    [ ] Unused tags removed
    [ ] Cookie banner rendered as static HTML
    [ ] Ad and social pixels after consent and interaction
    [ ] Live demo JavaScript loaded on click
    [ ] JavaScript budget enforced on deploy
    [ ] Field INP under 200 ms

    Risks and how to handle them

    • Losing attribution data

      Keep the tags that feed reports, loaded after consent.

    • Consent compliance

      Have legal review the banner change.

    Evidence

    • Google PageSpeedHomepage, tested October 22, 2026: mobile performance 45/100 (desktop 57); in the phone lab test the largest element takes 11.8 seconds to appear and it is the cookie-consent text; total blocking time 692 ms. Real Chrome visitors fail Core Web Vitals on responsiveness (INP 375 ms; the "good" limit is 200 ms), while their load time passes (LCP 2.15 s). The page makes 163 requests with 1.76 MB of JavaScript, about 637 KB of it unused, and loads 16 third-party services (about 1 MB), including Google Tag Manager (545 KB), Cookiebot (204 KB), X/Twitter (132 KB), Clarity, Reddit, Bing Ads and a Spotify pixel.Source
    • HiringGrowth Engineer (Belgrade, posted October 1, 2026): owns "the backend development and ongoing health of the Speechmatics website and self-serve portal", Vercel deployments, Python queries on the self-serve portal, "opportunities to improve conversion across the self-serve funnel", and "the ongoing improvement of site performance, loading speed, and technical reliability".Source
    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
  • 02

    Speechmatics' case-studies hub links 11 stories, but the sitemap lists only 4 case-study pages. NCI, AI-Media, Prosodica, Media Track, Edvak and five more, several featured on the homepage, are missing, as are the EdTech and media-monitoring use cases. Meanwhile the sitemap lists a component preview page, a 404 accordion preview and the form thank-you page. The new Website Coordinator owns search and AI-search visibility.

    High impactLow effort First result in 2 weeks Website Coordinator

    First action

    Add the 10 missing case-study URLs to the sitemap today.

    How to measure it

    Indexed case studies

    Now
    –
    Target
    11 of 11
    By
    30 days

    Steps

    1. 1

      Fix the generator

      Include all case studies and use cases.

      Growth Engineer 1 day

    2. 2

      Exclude test pages

      Preview and thank-you pages out; noindex them.

      Growth Engineer 2 hours

    3. 3

      Add schema

      Article and Organization on case studies.

      Website Coordinator 1 day

    4. 4

      Resubmit

      Search Console and Bing.

      Website Coordinator 1 hour

    5. 5

      Link internally

      Each case study from its use-case page.

      Website Coordinator 1 day

    6. 6

      Monitor

      Indexing report monthly.

      Website Coordinator monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Website Coordinator

    Smallest test

    Resubmit the sitemap with the NCI and AI-Media stories added.

    Why it works

    Generate the sitemap from Contentful for every published case study and use case, exclude preview, test and thank-you pages (and noindex them), add Article and Organization schema to case studies, and resubmit in Search Console.

    Case studies are the pages that win buyer searches such as "speech to text for captioning" and are what AI assistants quote; they should be the first pages search engines find.

    Risks and how to handle them

    • Other content types missing

      Compare every Contentful type with the sitemap.

    Evidence

    • Your websiteSitemap (479 URLs, read October 22, 2026): the case-studies hub links 11 case studies, but the sitemap lists only 4 case-study pages; 10 of the hub's 11 are missing, including NCI, AI-Media, Vail Systems/Prosodica, Media Track, Edvak EHR, Callers, Limecraft, ENCO, Liquid Voice and Tools On Air, although they return 200 with self-canonicals. Use-case pages for EdTech and media monitoring, linked from the homepage, are missing too. The sitemap does list a /component-preview page and /component-preview/accordion (which returns 404) and /thank-you. The site also publishes /llms.txt and /llms-full.txt.Source
    • HiringWebsite Coordinator (Belgrade, posted October 20, 2026): to own the website, "how it looks, what it says, and how easily people (and AI search tool and agents) find it"; builds pages in Contentful, monitors Google Search Console and optimises "metadata, headings, internal linking, content structure, and schema to boost visibility in both traditional and AI-driven search".Source
    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
  • 03

    The free plan gives $100 in credits but only 2 concurrent real-time sessions, against 50 on paid self-serve. A voice-agent developer testing with a few users hits that limit fast, and an error message is a poor moment to lose them.

    High impactLow effort First result in 2 weeks Growth Engineer

    First action

    Query how many free accounts hit the limit last month.

    How to measure it

    Conversion within 7 days of hitting the limit

    Now
    –
    Target
    25%
    By
    60 days

    Steps

    1. 1

      Size it

      Accounts hitting the limit.

      Growth Engineer 1 day

    2. 2

      Better error

      Clear message and upgrade link.

      Growth Engineer 2 days

    3. 3

      Same-day email

      To the account owner.

      Growth Engineer 1 day

    4. 4

      Portal meter

      Usage against the limit.

      Senior Software Engineer - Front-End 3 days

    5. 5

      A/B test

      Message variants.

      Senior Software Engineer - Front-End 2 weeks

    6. 6

      Review

      Conversion weekly.

      Growth Engineer weekly

    First result
    2 weeks
    Cost
    Engineering time
    Owner
    Growth Engineer

    Smallest test

    Email last month's limit-hitters an upgrade offer.

    Why it works

    Detect the concurrency limit in the portal and API response, return a clear message with a one-click upgrade link, email the account owner the same day, and show in the portal how close each project is to the limit.

    The limit marks a developer who has moved from testing to real traffic: the best moment to convert.

    Risks and how to handle them

    • Feels pushy

      Offer a short trial of higher concurrency instead of a hard sell.

    Evidence

    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source
    • HiringGrowth Engineer (Belgrade, posted October 1, 2026): owns "the backend development and ongoing health of the Speechmatics website and self-serve portal", Vercel deployments, Python queries on the self-serve portal, "opportunities to improve conversion across the self-serve funnel", and "the ongoing improvement of site performance, loading speed, and technical reliability".Source
    • HiringDeveloper Relations Advocate (San Francisco, posted October 22, 2026, $100,000-$140,000): "Be the face of Speechmatics in San Francisco ... bringing back the market insight that shapes our US growth"; "Get developers from first API call to working product"; webinars, hackathons, meet-ups, tutorials and code samples; "Use community and content data to show what's working".Source
  • 04

    The pricing page offers Melia 1, Enhanced, Oak 1 Medical, Standard and Linden 1 for agents, with different prices, languages and features. Its title says "from $0.121/hr" while the page says "$0.12/hr". Developers need to know which one to start with.

    Medium impactLow effort First result in 2 weeks Senior Software Engineer Fron…

    First action

    Fix the price mismatch in the title.

    How to measure it

    Pricing-page sign-ups

    Now
    –
    Target
    +10%
    By
    60 days

    Steps

    1. 1

      Fix the title

      Same price everywhere.

      Website Coordinator 10 minutes

    2. 2

      Define the logic

      Three questions to a model.

      Product Marketing Manager 1 day

    3. 3

      Build

      Picker component.

      Senior Software Engineer - Front-End 3 days

    4. 4

      Link samples

      One code sample per model.

      Developer Relations Advocate 2 days

    5. 5

      A/B test

      Against the current page.

      Senior Software Engineer - Front-End 2 weeks

    6. 6

      Review

      Mixpanel funnel.

      Senior Software Engineer - Front-End weekly

    First result
    2 weeks
    Cost
    Engineering time
    Owner
    Senior Software Engineer Front End

    Smallest test

    Add a three-row "start here" table above the model list.

    Why it works

    Add three questions (live or recorded, one language or mixed, medical or not) that recommend a model, show its price and link to a code sample. Make the title and heading show the same price.

    A clear starting choice reduces drop-off between pricing and the first API call.

    Risks and how to handle them

    • Wrong recommendation

      Let users switch models freely with credits.

    Evidence

    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source
    • HiringSenior Software Engineer - Front-End (London and Cambridge, posted September 25, 2026): "we're expanding our user platform offering"; designs and runs A/B tests, uses Mixpanel, and runs user interviews "to understand how people use the product and what drives adoption".Source
  • 05

    Speechmatics has 12 use-case pages and 11 case studies, but they are not always joined: the voice agents page is where LiveKit's story belongs, medical where Edvak and Humetrix belong, captioning where NCI and AI-Media belong. Buyers who land on a use-case page want proof from their own field.

    Medium impactLow effort First result in 2 weeks Website Coordinator

    First action

    Map each case study to a use case.

    How to measure it

    Use-case page conversion

    Now
    –
    Target
    +15%
    By
    60 days

    Steps

    1. 1

      Map stories

      Case study to use case.

      Website Coordinator 1 day

    2. 2

      Add the field

      Contentful reference.

      Growth Engineer 1 day

    3. 3

      Place blocks

      All use-case pages.

      Website Coordinator 2 days

    4. 4

      Hub filter

      By use case.

      Senior Software Engineer - Front-End 3 days

    5. 5

      List gaps

      Use cases without a story.

      Product Marketing Manager 1 day

    6. 6

      Measure

      Conversion by page.

      Website Coordinator monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Website Coordinator

    Smallest test

    Add the LiveKit story to the voice agents page.

    Why it works

    Add a case-study block to each use-case page using a Contentful reference field, and a use-case filter on the case-studies hub. Where a use case has no story (for example dental or veterinary), mark it for the next customer interview.

    Proof next to the claim lifts conversion, and gaps show where to find the next story.

    Risks and how to handle them

    • Few stories for some uses

      Use short quotes until full stories exist.

    Evidence

    • Your websiteSitemap (479 URLs, read October 22, 2026): the case-studies hub links 11 case studies, but the sitemap lists only 4 case-study pages; 10 of the hub's 11 are missing, including NCI, AI-Media, Vail Systems/Prosodica, Media Track, Edvak EHR, Callers, Limecraft, ENCO, Liquid Voice and Tools On Air, although they return 200 with self-canonicals. Use-case pages for EdTech and media monitoring, linked from the homepage, are missing too. The sitemap does list a /component-preview page and /component-preview/accordion (which returns 404) and /thank-you. The site also publishes /llms.txt and /llms-full.txt.Source
    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
    • Your websiteStartup Program: "Up to $50k in credits", "Technical guidance", "Monthly office hours with our engineers", with a first cohort shown. On-device has its own page with a qualification form. Use cases include AI voice agents, medical, dental, veterinary and legal transcription, contact centers, meeting platforms and captioning.Source
  • 06

    Speechmatics is hiring senior BDRs for enterprise and mid-market accounts with technical buyers. Many enterprise evaluations start with an engineer signing up for the free $100 credits. Without a signal, that engineer gets the same emails as a hobbyist.

    High impactLow effort First result in 1 month Senior Business Development R…

    First action

    List last month's sign-ups from companies over 500 employees.

    How to measure it

    Self-serve-sourced enterprise opportunities

    Now
    –
    Target
    15 a month
    By
    90 days

    Steps

    1. 1

      Enrich

      Company data by domain.

      Growth Engineer 2 days

    2. 2

      Set rules

      Segment and usage thresholds.

      Senior Business Development Representative 1 day

    3. 3

      Route

      To BDRs in Salesforce.

      Growth Engineer 1 day

    4. 4

      Write the offer

      Solutions Engineer session.

      Senior Business Development Representative 1 day

    5. 5

      Follow up

      Within one business day.

      Senior Business Development Representative ongoing

    6. 6

      Measure

      Opportunities and wins.

      Senior Business Development Representative monthly

    First result
    1 month
    Cost
    Data enrichment cost
    Owner
    Senior Business Development Representative

    Smallest test

    Hand-route one week of enterprise-domain sign-ups.

    Why it works

    Enrich each new portal account by email domain, flag companies in the target segments or above a usage threshold, and send them to a BDR with their usage summary (model, language, real-time or batch). The BDR offers a Solutions Engineer session, not a sales call.

    Engineers already testing the API are the warmest enterprise leads, and a technical offer fits how they buy.

    Risks and how to handle them

    • Developers dislike sales contact

      Lead with technical help and an easy opt-out.

    Evidence

    • HiringGo-to-market hiring: Solutions Engineers in Belgrade (posted September 11, 2026) and Mexico City (posted September 29) to run discovery, demos and proofs of concept in "cloud or on-prem setups" and support conferences; Senior Business Development Representatives in London and Cambridge for "enterprise and mid-market accounts" with "technical buyers (e.g. CTOs)".Source
    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source
    • HiringGrowth Engineer (Belgrade, posted October 1, 2026): owns "the backend development and ongoing health of the Speechmatics website and self-serve portal", Vercel deployments, Python queries on the self-serve portal, "opportunities to improve conversion across the self-serve funnel", and "the ongoing improvement of site performance, loading speed, and technical reliability".Source

This quarter 9

The core plays for the next three months.

  • 07

    The new San Francisco DevRel Advocate is to be the face of Speechmatics in the city's AI scene and shape US growth. Speechmatics already integrates with LiveKit and Pipecat and has Linden, a voice-agent model with turn detection.

    High impactMedium effort First result in 1 quarter Developer Relations Advocate

    First action

    Book a venue and co-host for the first build night.

    How to measure it

    Event-sourced active developers

    Now
    –
    Target
    100 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick co-hosts

      Voice framework partners.

      Developer Relations Advocate 2 weeks

    2. 2

      Prepare starter

      Template repo.

      Developer Relations Advocate 1 week

    3. 3

      Run monthly

      Two-hour build nights.

      Developer Relations Advocate monthly

    4. 4

      Give credits

      Tracked promo codes.

      Growth Engineer 1 day

    5. 5

      Publish winners

      Samples and clips.

      Developer Relations Advocate monthly

    6. 6

      Measure

      Activation from codes.

      Growth Engineer monthly

    First result
    1 quarter
    Cost
    Venue and prizes
    Owner
    Developer Relations Advocate

    Smallest test

    Run one build night.

    Why it works

    Run a monthly build night where developers ship a voice agent in two hours using Linden with LiveKit or Pipecat, with free credits, a prize and a demo slot. Publish each winning project as a sample and record short clips.

    Hands-on events create first API calls on the spot and community samples that keep working after the event.

    Risks and how to handle them

    • Low turnout

      Co-host with an established meet-up.

    Evidence

    • HiringDeveloper Relations Advocate (San Francisco, posted October 22, 2026, $100,000-$140,000): "Be the face of Speechmatics in San Francisco ... bringing back the market insight that shapes our US growth"; "Get developers from first API call to working product"; webinars, hackathons, meet-ups, tutorials and code samples; "Use community and content data to show what's working".Source
    • Developer ecosystemDeveloper reach: 14 npm packages with about 47,700 weekly downloads (@speechmatics/real-time-client about 18,900); 55 public GitHub repos, the most-starred "speechmatics-academy" (164 stars); a Discord community; docs on Docusaurus; YouTube about 2,220 subscribers, 256 videos and 5.16 million views; LiveKit and Pipecat integrations, and Vapi and Pipecat among the logos on the site.Source
    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source
  • 08

    The DevRel post asks to get developers "from first API call to working product", and the front-end role runs A/B tests and user interviews. The one number that ties them together is time to first successful transcript.

    High impactMedium effort First result in 1 quarter Senior Software Engineer Fron…

    First action

    Add events for the five steps.

    How to measure it

    24-hour activation

    Now
    –
    Target
    +20%
    By
    2 quarters

    Steps

    1. 1

      Instrument

      Five funnel events.

      Senior Software Engineer - Front-End 1 week

    2. 2

      Baseline

      Current drop-off.

      Growth Engineer 1 week

    3. 3

      Guided first run

      In the portal.

      Senior Software Engineer - Front-End 1 month

    4. 4

      Stall emails

      Per stuck step.

      Growth Engineer 2 weeks

    5. 5

      Interview

      Ten developers who dropped.

      Senior Software Engineer - Front-End 1 month

    6. 6

      Iterate

      Monthly tests.

      Senior Software Engineer - Front-End monthly

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Senior Software Engineer Front End

    Smallest test

    Interview five developers who signed up but never called the API.

    Why it works

    Instrument sign-up, API key created, first request, first successful transcript and first real-time session in Mixpanel. Test a guided first run in the portal (upload a file or speak, see the code that did it) and trigger help emails when a step stalls.

    Developers who reach a result in the first session convert and stay far more often.

    Risks and how to handle them

    • Over-instrumenting

      Track only the five steps first.

    Evidence

    • HiringDeveloper Relations Advocate (San Francisco, posted October 22, 2026, $100,000-$140,000): "Be the face of Speechmatics in San Francisco ... bringing back the market insight that shapes our US growth"; "Get developers from first API call to working product"; webinars, hackathons, meet-ups, tutorials and code samples; "Use community and content data to show what's working".Source
    • HiringSenior Software Engineer - Front-End (London and Cambridge, posted September 25, 2026): "we're expanding our user platform offering"; designs and runs A/B tests, uses Mixpanel, and runs user interviews "to understand how people use the product and what drives adoption".Source
    • HiringGrowth Engineer (Belgrade, posted October 1, 2026): owns "the backend development and ongoing health of the Speechmatics website and self-serve portal", Vercel deployments, Python queries on the self-serve portal, "opportunities to improve conversion across the self-serve funnel", and "the ongoing improvement of site performance, loading speed, and technical reliability".Source
    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source
  • 09

    Speechmatics is hiring a Solutions Engineer in Mexico City, has Spanish and Portuguese language pages, and its Melia model switches language mid-sentence, which suits Spanish-English code-switching in contact centers. But the whole site is English only.

    High impactMedium effort First result in 2 quarters Solutions Engineer

    First action

    Count current Latin American sign-ups and deals.

    How to measure it

    LatAm opportunities

    Now
    –
    Target
    20 a quarter
    By
    2 quarters

    Steps

    1. 1

      Size demand

      Sign-ups and deals by country.

      Growth Engineer 1 week

    2. 2

      Translate

      Five core pages.

      Website Coordinator 1 month

    3. 3

      Add samples

      Spanish and code-switching audio.

      Developer Relations Advocate 2 weeks

    4. 4

      hreflang

      es and pt-BR pairs.

      Website Coordinator 1 day

    5. 5

      Route

      To Mexico City.

      Senior Business Development Representative 1 day

    6. 6

      Promote

      Spanish developer content.

      Solutions Engineer (Mexico City) 1 quarter

    First result
    2 quarters
    Cost
    Translation budget
    Owner
    Solutions Engineer (Mexico City)

    Smallest test

    Publish a Spanish contact-center page and run Spanish search ads for a month.

    Why it works

    Translate the homepage, pricing, contact-center and voice-agent pages and the Spanish and Portuguese language pages, with Spanish audio samples in the live demo and a Spanish-English code-switching sample. Route Latin American leads to the Mexico City engineer.

    Local-language pages and demos in the buyer's own accent are rare among speech APIs and show the product's strength directly.

    Risks and how to handle them

    • Support in Spanish

      Start with sales and solutions engineering only.

    Evidence

    • HiringGo-to-market hiring: Solutions Engineers in Belgrade (posted September 11, 2026) and Mexico City (posted September 29) to run discovery, demos and proofs of concept in "cloud or on-prem setups" and support conferences; Senior Business Development Representatives in London and Cambridge for "enterprise and mid-market accounts" with "technical buyers (e.g. CTOs)".Source
    • Your websiteComparison pages: nine "alternative" pages (AssemblyAI, AWS, Deepgram, ElevenLabs Scribe, Gladia, Google, Microsoft Azure Speech, OpenAI, Soniox) plus a "How we compare" page. Language pages: about 60 /speech-to-text/<language> pages, including Spanish, Portuguese, Welsh, Irish, Basque and Swahili. The site itself is English only.Source
    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source
    • Competitor researchRivals' own homepages: Deepgram, "Enterprise Voice AI: STT, TTS & Agent APIs"; AssemblyAI, "AI models to transcribe and understand speech"; Gladia, "AI audio infrastructure for voice products"; Soniox, "realtime speech-to-text, text-to-speech, and translation in 60+ languages" with "seamless language switching".Source
  • 10

    Voice agents are the fastest-growing use case, and the site lists LiveKit, Pipecat and Vapi. Developers pick a framework first and look for a working template; the most-starred repo, speechmatics-academy, has 164 stars.

    High impactMedium effort First result in 1 quarter Developer Relations Advocate

    First action

    Pick the framework with the most sign-up mentions.

    How to measure it

    Template-sourced paid accounts

    Now
    –
    Target
    50 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick frameworks

      Top three.

      Head of Developer Relations 1 week

    2. 2

      Build templates

      One per framework.

      Developer Relations Advocate 1 month

    3. 3

      One-click deploy

      With credits.

      Growth Engineer 2 weeks

    4. 4

      List everywhere

      Docs, site, partner docs.

      Developer Relations Advocate 2 weeks

    5. 5

      Maintain

      Monthly updates.

      Developer Relations Advocate monthly

    6. 6

      Track

      Deploys to paid.

      Growth Engineer monthly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Developer Relations Advocate

    Smallest test

    Publish the LiveKit template.

    Why it works

    Publish one maintained template per framework (Linden STT plus turn detection, with optional TTS), deployable in one click, linked from docs, the voice agents page and each framework's own integration docs.

    A template that works in five minutes wins the framework choice moment.

    Risks and how to handle them

    • Templates break with framework updates

      Run CI tests weekly.

    Evidence

    • Developer ecosystemDeveloper reach: 14 npm packages with about 47,700 weekly downloads (@speechmatics/real-time-client about 18,900); 55 public GitHub repos, the most-starred "speechmatics-academy" (164 stars); a Discord community; docs on Docusaurus; YouTube about 2,220 subscribers, 256 videos and 5.16 million views; LiveKit and Pipecat integrations, and Vapi and Pipecat among the logos on the site.Source
    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source
    • HiringDeveloper Relations Advocate (San Francisco, posted October 22, 2026, $100,000-$140,000): "Be the face of Speechmatics in San Francisco ... bringing back the market insight that shapes our US growth"; "Get developers from first API call to working product"; webinars, hackathons, meet-ups, tutorials and code samples; "Use community and content data to show what's working".Source
    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
  • 11

    Oak, the new medical model, is on the homepage banner and drew US press. Medical buyers ask about accuracy on drug names and dosages, and about HIPAA. Speechmatics has medical case studies (Edvak, Humetrix).

    High impactMedium effort First result in 1 quarter Product Marketing Manager

    First action

    Choose the public clinical test set.

    How to measure it

    Oak opportunities

    Now
    –
    Target
    30 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick test set

      Public clinical audio.

      Machine Learning Team Lead 2 weeks

    2. 2

      Publish results

      Term-level accuracy.

      Product Marketing Manager 2 weeks

    3. 3

      Self-serve test

      Upload and compare.

      Senior Software Engineer - Front-End 1 month

    4. 4

      HIPAA path

      Clear steps.

      Product Marketing Manager 1 week

    5. 5

      Add stories

      Edvak and Humetrix.

      Website Coordinator 1 day

    6. 6

      Equip SEs

      Same test for PoCs.

      Solutions Engineer 2 weeks

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

    Smallest test

    Publish the results table on the Oak page.

    Why it works

    Publish an Oak page with term-level accuracy results on a public clinical test set, a self-serve test where buyers upload their own de-identified audio, the HIPAA path, and the two medical stories. Give Solutions Engineers the same test for proofs of concept.

    Letting clinical buyers measure accuracy on their own audio is more convincing than any claim.

    Risks and how to handle them

    • Uploading patient audio

      Require de-identified audio and state data handling clearly.

    Evidence

    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
    • News coverageHeadline on October 14, 2026: "Speechmatics wows US with new medical speech recognition model - and NVIDIA has a key role". Wikipedia and company data: founded 2006 in Cambridge, England; about 113 employees; CEO Katy Wigdahl.Source
    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source
    • Your websiteStartup Program: "Up to $50k in credits", "Technical guidance", "Monthly office hours with our engineers", with a first cohort shown. On-device has its own page with a qualification form. Use cases include AI voice agents, medical, dental, veterinary and legal transcription, contact centers, meeting platforms and captioning.Source
  • 12

    Solutions Engineers in Belgrade and Mexico City run discovery, demos and proofs of concept in cloud or on-prem setups. Each PoC that is built by hand slows the sales cycle.

    High impactMedium effort First result in 1 quarter Solutions Engineer

    First action

    List the steps of the last five PoCs.

    How to measure it

    PoC duration

    Now
    –
    Target
    -40%
    By
    2 quarters

    Steps

    1. 1

      Map PoCs

      Last five.

      Solutions Engineer 1 week

    2. 2

      Build the kit

      Upload, run, report.

      Solutions Engineer 1 month

    3. 3

      Add latency

      Real-time figures.

      Solutions Engineer 2 weeks

    4. 4

      Train the team

      All SEs.

      Solutions Engineer 1 week

    5. 5

      Use on every PoC

      Standard process.

      Solutions Engineer ongoing

    6. 6

      Collect results

      Anonymised library.

      Product Marketing Manager ongoing

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Solutions Engineer

    Smallest test

    Run the kit on the next PoC.

    Why it works

    Build a kit: upload a sample of the customer's audio, run Speechmatics and up to two rivals the customer names, and produce a word-error report by speaker, accent and language, plus latency figures. Use it in every PoC and save the anonymised results.

    A consistent, fast PoC shortens enterprise cycles and builds a library of real-world accuracy evidence.

    Risks and how to handle them

    • Rival terms of use

      Run rivals only with the customer's own accounts and consent.

    Evidence

    • HiringGo-to-market hiring: Solutions Engineers in Belgrade (posted September 11, 2026) and Mexico City (posted September 29) to run discovery, demos and proofs of concept in "cloud or on-prem setups" and support conferences; Senior Business Development Representatives in London and Cambridge for "enterprise and mid-market accounts" with "technical buyers (e.g. CTOs)".Source
    • Your websiteComparison pages: nine "alternative" pages (AssemblyAI, AWS, Deepgram, ElevenLabs Scribe, Gladia, Google, Microsoft Azure Speech, OpenAI, Soniox) plus a "How we compare" page. Language pages: about 60 /speech-to-text/<language> pages, including Spanish, Portuguese, Welsh, Irish, Basque and Swahili. The site itself is English only.Source
    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
  • 13

    The Startup Program offers up to $50k in credits and monthly office hours, with a first cohort. Startups that grow on Speechmatics are case studies and future enterprise accounts.

    Medium impactMedium effort First result in 2 quarters Head of Developer Relations

    First action

    Ask cohort one for profiles.

    How to measure it

    Graduates becoming paid

    Now
    –
    Target
    60%
    By
    3 quarters

    Steps

    1. 1

      Profiles

      Cohort one.

      Developer Relations Advocate 1 month

    2. 2

      Demo day

      With investors.

      Head of Developer Relations 1 quarter

    3. 3

      Graduation offer

      First-year discount.

      Product Marketing Manager 2 weeks

    4. 4

      Track

      Usage and revenue.

      Growth Engineer monthly

    5. 5

      Recruit cohort two

      With the profiles.

      Head of Developer Relations 1 quarter

    6. 6

      Case studies

      Best graduates.

      Product Marketing Manager ongoing

    First result
    2 quarters
    Cost
    Credits and event costs
    Owner
    Head of Developer Relations

    Smallest test

    Publish three cohort profiles.

    Why it works

    Publish a short profile of each cohort company, run a demo day with investors and press, give graduates a first-year discount, and track credits used and revenue after graduation.

    Visible startup success attracts the next cohort and turns credits into paying customers.

    Risks and how to handle them

    • Credits used without conversion

      Check usage at mid-point and offer help.

    Evidence

    • Your websiteStartup Program: "Up to $50k in credits", "Technical guidance", "Monthly office hours with our engineers", with a first cohort shown. On-device has its own page with a qualification form. Use cases include AI voice agents, medical, dental, veterinary and legal transcription, contact centers, meeting platforms and captioning.Source
    • HiringDeveloper Relations Advocate (San Francisco, posted October 22, 2026, $100,000-$140,000): "Be the face of Speechmatics in San Francisco ... bringing back the market insight that shapes our US growth"; "Get developers from first API call to working product"; webinars, hackathons, meet-ups, tutorials and code samples; "Use community and content data to show what's working".Source
    • Developer ecosystemDeveloper reach: 14 npm packages with about 47,700 weekly downloads (@speechmatics/real-time-client about 18,900); 55 public GitHub repos, the most-starred "speechmatics-academy" (164 stars); a Discord community; docs on Docusaurus; YouTube about 2,220 subscribers, 256 videos and 5.16 million views; LiveKit and Pipecat integrations, and Vapi and Pipecat among the logos on the site.Source
  • 14

    The Website Coordinator role is about how "AI search tool and agents" find the site, and Speechmatics already publishes llms.txt and about 60 language pages. Developers now ask assistants which API to use for Arabic, medical or voice agents.

    Medium impactLow effort First result in 1 quarter Website Coordinator

    First action

    Write the 50 questions.

    How to measure it

    AI answer share

    Now
    –
    Target
    +20 points
    By
    2 quarters

    Steps

    1. 1

      Write questions

      50 by language and use.

      Website Coordinator 1 day

    2. 2

      Baseline

      Monthly check.

      Website Coordinator 1 week

    3. 3

      Fix pages

      Weakest ten first.

      Website Coordinator 1 month

    4. 4

      Add FAQ schema

      Language pages.

      Website Coordinator 2 weeks

    5. 5

      Update llms.txt

      Include case studies.

      Website Coordinator 1 day

    6. 6

      Repeat

      Monthly.

      Website Coordinator monthly

    First result
    1 quarter
    Cost
    $0
    Owner
    Website Coordinator

    Smallest test

    Check ten language questions today.

    Why it works

    Pick 50 questions (by language and use case), check monthly which vendors assistants name and which pages they cite, and strengthen the language and use-case pages that lose: clear facts, accuracy figures, code samples and FAQ schema.

    Being the named answer for a language is a lasting acquisition channel, and Speechmatics' language breadth is a real advantage.

    Risks and how to handle them

    • Answers vary

      Track trends over months.

    Evidence

    • HiringWebsite Coordinator (Belgrade, posted October 20, 2026): to own the website, "how it looks, what it says, and how easily people (and AI search tool and agents) find it"; builds pages in Contentful, monitors Google Search Console and optimises "metadata, headings, internal linking, content structure, and schema to boost visibility in both traditional and AI-driven search".Source
    • Your websiteComparison pages: nine "alternative" pages (AssemblyAI, AWS, Deepgram, ElevenLabs Scribe, Gladia, Google, Microsoft Azure Speech, OpenAI, Soniox) plus a "How we compare" page. Language pages: about 60 /speech-to-text/<language> pages, including Spanish, Portuguese, Welsh, Irish, Basque and Swahili. The site itself is English only.Source
    • Your websiteSitemap (479 URLs, read October 22, 2026): the case-studies hub links 11 case studies, but the sitemap lists only 4 case-study pages; 10 of the hub's 11 are missing, including NCI, AI-Media, Vail Systems/Prosodica, Media Track, Edvak EHR, Callers, Limecraft, ENCO, Liquid Voice and Tools On Air, although they return 200 with self-canonicals. Use-case pages for EdTech and media monitoring, linked from the homepage, are missing too. The sitemap does list a /component-preview page and /component-preview/accordion (which returns 404) and /thank-you. The site also publishes /llms.txt and /llms-full.txt.Source
  • 15

    Speechmatics has nine "alternative" pages against AssemblyAI, Deepgram, Gladia, Soniox, ElevenLabs and the cloud providers. Rivals publish their own accuracy claims, so developers distrust vendor tables.

    Medium impactLow effort First result in 1 quarter Developer Relations Advocate

    First action

    Pick two public test sets.

    How to measure it

    Comparison-page sign-ups

    Now
    –
    Target
    +25%
    By
    2 quarters

    Steps

    1. 1

      Pick test sets

      Two public sets.

      Machine Learning Team Lead 1 week

    2. 2

      Build harness

      Open source.

      Developer Relations Advocate 1 month

    3. 3

      Link pages

      All nine comparisons.

      Website Coordinator 1 day

    4. 4

      Date results

      On each page.

      Website Coordinator 1 day

    5. 5

      Promote

      Developer channels.

      Developer Relations Advocate 1 month

    6. 6

      Refresh

      Quarterly runs.

      Machine Learning Team Lead quarterly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Developer Relations Advocate

    Smallest test

    Release the harness with one test set.

    Why it works

    Publish an open-source harness on GitHub that runs any provider on public test sets or the developer's own audio, link it from each comparison page, and date every published result.

    Inviting developers to check the numbers turns a claim into a test they run, and the harness spreads on GitHub.

    Risks and how to handle them

    • Rivals improve

      Refresh every quarter.

    Evidence

    • Your websiteComparison pages: nine "alternative" pages (AssemblyAI, AWS, Deepgram, ElevenLabs Scribe, Gladia, Google, Microsoft Azure Speech, OpenAI, Soniox) plus a "How we compare" page. Language pages: about 60 /speech-to-text/<language> pages, including Spanish, Portuguese, Welsh, Irish, Basque and Swahili. The site itself is English only.Source
    • Developer ecosystemDeveloper reach: 14 npm packages with about 47,700 weekly downloads (@speechmatics/real-time-client about 18,900); 55 public GitHub repos, the most-starred "speechmatics-academy" (164 stars); a Discord community; docs on Docusaurus; YouTube about 2,220 subscribers, 256 videos and 5.16 million views; LiveKit and Pipecat integrations, and Vapi and Pipecat among the logos on the site.Source
    • Competitor researchRivals' own homepages: Deepgram, "Enterprise Voice AI: STT, TTS & Agent APIs"; AssemblyAI, "AI models to transcribe and understand speech"; Gladia, "AI audio infrastructure for voice products"; Soniox, "realtime speech-to-text, text-to-speech, and translation in 60+ languages" with "seamless language switching".Source

Big bets 3

Larger plays that can change the trajectory.

  • 16

    Speechmatics' pitch is accuracy on "accents, multiple speakers, and multilingual speech" across 55+ languages. No one publishes a neutral, ongoing view of how speech APIs do by accent and language.

    High impactHigh effort First result in 3 quarters Machine Learning Team Lead

    First action

    Pick ten languages and accents with good public data.

    How to measure it

    Leaderboard citations

    Now
    –
    Target
    50
    By
    1 year

    Steps

    1. 1

      Choose sets

      Ten languages and accents.

      Machine Learning Team Lead 1 month

    2. 2

      Run providers

      Quarterly.

      Machine Learning Team Lead 1 quarter

    3. 3

      Publish

      Method and results.

      Website Coordinator 1 month

    4. 4

      Open submissions

      Research test sets.

      Developer Relations Advocate 1 quarter

    5. 5

      Present

      Conferences.

      Developer Relations Advocate quarterly

    6. 6

      Update

      Every quarter.

      Machine Learning Team Lead quarterly

    First result
    3 quarters
    Cost
    Compute and staff time
    Owner
    Machine Learning Team Lead

    Smallest test

    Publish a leaderboard for five English accents.

    Why it works

    Run all major speech APIs quarterly on public test sets by language and accent, publish the leaderboard with the method and harness, and let researchers submit test sets. Present results at developer conferences.

    A trusted leaderboard becomes the reference developers and analysts cite, and it showcases where Speechmatics leads.

    Risks and how to handle them

    • Seen as biased

      Open method and outside reviewers.

    Evidence

    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
    • Your websiteComparison pages: nine "alternative" pages (AssemblyAI, AWS, Deepgram, ElevenLabs Scribe, Gladia, Google, Microsoft Azure Speech, OpenAI, Soniox) plus a "How we compare" page. Language pages: about 60 /speech-to-text/<language> pages, including Spanish, Portuguese, Welsh, Irish, Basque and Swahili. The site itself is English only.Source
    • Competitor researchRivals' own homepages: Deepgram, "Enterprise Voice AI: STT, TTS & Agent APIs"; AssemblyAI, "AI models to transcribe and understand speech"; Gladia, "AI audio infrastructure for voice products"; Soniox, "realtime speech-to-text, text-to-speech, and translation in 60+ languages" with "seamless language switching".Source
    • Developer ecosystemDeveloper reach: 14 npm packages with about 47,700 weekly downloads (@speechmatics/real-time-client about 18,900); 55 public GitHub repos, the most-starred "speechmatics-academy" (164 stars); a Discord community; docs on Docusaurus; YouTube about 2,220 subscribers, 256 videos and 5.16 million views; LiveKit and Pipecat integrations, and Vapi and Pipecat among the logos on the site.Source
  • 17

    Adobe Premiere and Stenograph run Speechmatics on-device, but on-device is Enterprise-only and starts with a qualification form. App developers who need offline or private transcription cannot try it.

    High impactHigh effort First result in 4 quarters Senior Software Engineer Fron…

    First action

    Scope the smallest on-device package.

    How to measure it

    On-device licences

    Now
    –
    Target
    100
    By
    4 quarters

    Steps

    1. 1

      Scope

      Platform and languages.

      Chief Product Officer 1 month

    2. 2

      Licence model

      Usage-based.

      Product Marketing Manager 1 month

    3. 3

      Build portal flow

      Trial and download.

      Senior Software Engineer - Front-End 1 quarter

    4. 4

      Docs and samples

      Mobile and desktop.

      Developer Relations Advocate 1 month

    5. 5

      Launch

      Developer channels.

      Developer Relations Advocate 1 month

    6. 6

      Measure

      Trials to licences.

      Growth Engineer monthly

    First result
    4 quarters
    Cost
    Engineering time
    Owner
    Senior Software Engineer Front End

    Smallest test

    Offer the on-device SDK to ten waiting developers.

    Why it works

    Offer a limited self-serve on-device SDK (one platform, a small set of languages, a usage-based licence) with a free trial, then hand larger deployments to sales. Track trial-to-licence conversion.

    On-device is a clear difference from cloud-only rivals, and self-serve opens it to many smaller apps.

    Risks and how to handle them

    • Support load

      Limit to one platform first.

    Evidence

    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source
    • Your websiteStartup Program: "Up to $50k in credits", "Technical guidance", "Monthly office hours with our engineers", with a first cohort shown. On-device has its own page with a qualification form. Use cases include AI voice agents, medical, dental, veterinary and legal transcription, contact centers, meeting platforms and captioning.Source
    • HiringSenior Software Engineer - Front-End (London and Cambridge, posted September 25, 2026): "we're expanding our user platform offering"; designs and runs A/B tests, uses Mixpanel, and runs user interviews "to understand how people use the product and what drives adoption".Source
  • 18

    LiveKit's case study says Speechmatics helps enable "100,000+ developers", and Pipecat and Vapi appear on the site. Voice platforms choose a default speech provider for many developers at once.

    High impactHigh effort First result in 3 quarters Head of Developer Relations

    First action

    List the platforms and their current Speechmatics placement.

    How to measure it

    Partner-sourced paid accounts

    Now
    –
    Target
    30% of new
    By
    3 quarters

    Steps

    1. 1

      List partners

      Placement today.

      Head of Developer Relations 1 week

    2. 2

      Propose plans

      Co-marketing per partner.

      Head of Developer Relations 1 month

    3. 3

      Joint launches

      New models.

      Product Marketing Manager per launch

    4. 4

      Referral credit

      Tracked codes.

      Growth Engineer 2 weeks

    5. 5

      Docs placement

      Recommended provider.

      Developer Relations Advocate 1 quarter

    6. 6

      Measure

      Sign-ups by partner.

      Growth Engineer monthly

    First result
    3 quarters
    Cost
    Referral credits
    Owner
    Head of Developer Relations

    Smallest test

    Run one joint launch post with LiveKit.

    Why it works

    Agree co-marketing with each platform: joint launch posts for new models (Linden, Oak), shared templates, a referral credit, and being listed as a recommended provider in their docs. Track sign-ups by partner.

    One default setting in a popular framework brings more developers than any campaign.

    Risks and how to handle them

    • Partners stay neutral

      Win on templates and support, not exclusivity.

    Evidence

    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
    • Developer ecosystemDeveloper reach: 14 npm packages with about 47,700 weekly downloads (@speechmatics/real-time-client about 18,900); 55 public GitHub repos, the most-starred "speechmatics-academy" (164 stars); a Discord community; docs on Docusaurus; YouTube about 2,220 subscribers, 256 videos and 5.16 million views; LiveKit and Pipecat integrations, and Vapi and Pipecat among the logos on the site.Source
    • Your websitePricing page: title "Speech to Text from $0.121/hr", heading "from $0.12/hr"; "Start free • $100 in credits No card required"; models Melia 1 ($0.12/hr, 56 languages, switches language mid-sentence), Enhanced ($0.38/hr), Oak 1 Medical ($0.15/hr) and Linden 1 agent STT (real-time only, built-in turn detection); real-time concurrency "50 (2 on Free)"; SSO a "Paid add-on, $280/mo"; on-prem containers, virtual appliance and on-device for Enterprise only; a pricing calculator.Source

Wildcards 3

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

  • 19

    Live captioning is a core use case (NCI, AI-Media), and the new SF DevRel role needs a presence in the city's AI scene. Meet-ups rarely have captions, and attendees see the product working in real time.

    Medium impactLow effort First result in 1 month Developer Relations Advocate

    First action

    Offer captions to three meet-up organisers.

    How to measure it

    Event QR sign-ups

    Now
    –
    Target
    200 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick meet-ups

      AI and voice events.

      Developer Relations Advocate 1 week

    2. 2

      Set up kit

      Laptop, mic, display.

      Developer Relations Advocate 1 week

    3. 3

      Caption events

      Ten a quarter.

      Developer Relations Advocate ongoing

    4. 4

      QR credits

      Tracked.

      Growth Engineer 1 day

    5. 5

      Share transcripts

      With organisers.

      Developer Relations Advocate per event

    6. 6

      Measure

      Sign-ups.

      Growth Engineer monthly

    First result
    1 month
    Cost
    Hardware
    Owner
    Developer Relations Advocate

    Smallest test

    Caption one meet-up this month.

    Why it works

    Provide free live captions on a screen for ten AI meet-ups a quarter, with a small "captions by Speechmatics" note and a QR code to the free credits. Offer the transcript to organisers afterwards.

    Every attendee sees accuracy on real, noisy speech, which is the product's pitch.

    Risks and how to handle them

    • Errors on screen

      Use the best model and good microphones.

    Evidence

    • HiringDeveloper Relations Advocate (San Francisco, posted October 22, 2026, $100,000-$140,000): "Be the face of Speechmatics in San Francisco ... bringing back the market insight that shapes our US growth"; "Get developers from first API call to working product"; webinars, hackathons, meet-ups, tutorials and code samples; "Use community and content data to show what's working".Source
    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
  • 20

    Speechmatics' YouTube has 5.16 million views across 256 videos but about 2,220 subscribers. Short, fun accuracy demos travel well: thick regional accents, fast speakers, language switching.

    Medium impactLow effort First result in 1 quarter Developer Relations Advocate

    First action

    Record three accent demos.

    How to measure it

    YouTube subscribers

    Now
    –
    Target
    10,000
    By
    2 quarters

    Steps

    1. 1

      Pick accents

      Ten hard cases.

      Developer Relations Advocate 1 week

    2. 2

      Record

      Three per batch.

      Developer Relations Advocate monthly

    3. 3

      Publish weekly

      Shorts and LinkedIn.

      Developer Relations Advocate weekly

    4. 4

      Collect audio

      Viewer submissions with consent.

      Developer Relations Advocate ongoing

    5. 5

      Link

      Tracked sign-up links.

      Growth Engineer 1 day

    6. 6

      Review

      Watch time.

      Developer Relations Advocate monthly

    First result
    1 quarter
    Cost
    Production time
    Owner
    Developer Relations Advocate

    Smallest test

    Post one accent short this week.

    Why it works

    Publish a weekly short: a real accent or mixed-language clip, Speechmatics' live transcript side by side, and a link to try it free. Invite viewers to send their hardest audio.

    A recurring format turns one-off views into subscribers and sign-ups.

    Risks and how to handle them

    • Mocking accents

      Feature speakers themselves, with consent.

    Evidence

    • Developer ecosystemDeveloper reach: 14 npm packages with about 47,700 weekly downloads (@speechmatics/real-time-client about 18,900); 55 public GitHub repos, the most-starred "speechmatics-academy" (164 stars); a Discord community; docs on Docusaurus; YouTube about 2,220 subscribers, 256 videos and 5.16 million views; LiveKit and Pipecat integrations, and Vapi and Pipecat among the logos on the site.Source
    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
  • 21

    Speechmatics supports languages few rivals handle well, such as Welsh, Irish, Basque and Swahili. Language bodies, broadcasters and universities in these communities want captioning and transcription and value vendors who support them.

    Medium impactLow effort First result in 2 quarters Product Marketing Manager

    First action

    Contact one organisation for Welsh.

    How to measure it

    Partners signed

    Now
    –
    Target
    4
    By
    2 quarters

    Steps

    1. 1

      Pick languages

      Four communities.

      Product Marketing Manager 1 week

    2. 2

      Find partners

      Broadcasters and universities.

      Product Marketing Manager 1 month

    3. 3

      Offer credits

      Grants.

      Product Marketing Manager 1 month

    4. 4

      Co-publish

      Results and stories.

      Website Coordinator 1 quarter

    5. 5

      Update pages

      Language pages.

      Website Coordinator 1 month

    6. 6

      Measure

      Usage per language.

      Growth Engineer quarterly

    First result
    2 quarters
    Cost
    Credit grants
    Owner
    Product Marketing Manager

    Smallest test

    Offer credits to one Welsh broadcaster.

    Why it works

    Offer a grant of credits to one cultural or educational body per language, co-publish results, and build a case study with a broadcaster. Use them on the language pages.

    Strong local partners make Speechmatics the default for those languages and generate goodwill and press.

    Risks and how to handle them

    • Small revenue

      Treat as brand and proof.

    Evidence

    • Your websiteComparison pages: nine "alternative" pages (AssemblyAI, AWS, Deepgram, ElevenLabs Scribe, Gladia, Google, Microsoft Azure Speech, OpenAI, Soniox) plus a "How we compare" page. Language pages: about 60 /speech-to-text/<language> pages, including Spanish, Portuguese, Welsh, Irish, Basque and Swahili. The site itself is English only.Source
    • Your websiteHomepage: "Speech APIs powering Voice AI"; "Multilingual speech-to-text built for regulated industries"; "Real-time speech-to-text in 350ms"; "55+ languages, one model"; HIPAA, GDPR, SOC 2 Type II and ISO 27001; on-device, on-prem or cloud; "We don't log your data as standard". Case studies: AI-Media ("Delivering 120X more"), LiveKit ("Enabling 100,000+ developers"), Adobe (on-device in Premiere), NCI ("99% increase in usage of automated captioning"), Media Track ("20% leap in accuracy"), Prosodica and Stenograph. A banner introduces "Oak, our new medical model built for multilingual consultations".Source
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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. Speechmatics did not commission, review or endorse it, and Programmable is not affiliated with Speechmatics. 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 Speechmatics runs its business.

Something wrong, or do you represent Speechmatics? 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

    Site speed, the sitemap, the free-tier limit prompt, the model picker, case studies on use-case pages and enterprise routing.

  2. Days 31 to 6012 ideas

    SF build nights, activation, LatAm pages, voice-agent templates, the Oak page, the PoC kit, the Startup Program, AI search and the test harness; captions, accent shorts and language partners.

  3. Days 61 to 903 ideas

    Commit to the big bets: a public accuracy leaderboard, self-serve on-device and voice-platform co-marketing.

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 on accents and noisy, multi-speaker audio. The most cited problem: latency in live voice agents.

  • Many languages in one model, including switching mid-sentence
  • Medical and legal terminology
  • In their words: “accuracy”

Market

Competitive landscape

4 competitors compared: Deepgram, AssemblyAI, Gladia and Soniox.

  • Gap to exploit: Neutral, reproducible accuracy by accent and language
  • Deepgram: Fewer languages in one model
  • AssemblyAI: Cloud-only focus

Hiring signals

Speechmatics is building a product-led growth engine around its website and self-serve portal.

  • Growth Engineer: Site speed and self-serve conversion. Ideas 1, 3, 8.
  • Website Coordinator: Search and AI-search visibility. Ideas 2, 5, 14.
  • Developer Relations Advocate (San Francisco): US developer growth. Ideas 7, 10, 19.

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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