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  • The brief
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  • This quarter · 9
  • Big bets · 4
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Generated Oct 18, 2026
  1. Programmable
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growth playbook · Oct 18, 2026

macroscope.com (opens in a new tab)

Macroscope growth playbook

Diagnosis

Macroscope already has strong product-led pieces: a five-minute GitHub install, $100 of credit, usage-based pricing, 11 comparison pages and a model benchmark of 12,000+ real bugs. Its open roles show the next step: all four GTM roles are founding hires (a BDR, a GTM Engineer, product marketing and an AE) to build enterprise sales on top of the inbound, plus a motion designer so every feature ships with a launch video.

This playbook gives those hires a first 90 days: route large-org installs to sales, put the numbers in front of buyers, turn the benchmark into a recurring news engine, and remove the enterprise blockers (procurement questions and GitHub Cloud only).

Growth Score

7/10

Biggest Opportunity

Use what Macroscope uniquely sees (public PR signals, its own benchmark and each trial's caught bugs) to turn PLG installs into enterprise deals and every model launch into attention.

Biggest Risk

A crowded category with well-funded rivals and broader platform support (CodeRabbit on four platforms, Greptile on third-party leaderboards), and an enterprise ceiling while only GitHub Cloud is supported.

01

Start here

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

  1. 1

    Score every new GitHub app install by org size and route the big ones to the BDR the same day

    Pull last month's installs and rank them by GitHub org size to see how many large orgs are already trying it.

    High impact First result in 2 weeks
  2. 2

    A "first week report" email to the installer and their engineering lead: what Macroscope caught

    Write the report query: PRs reviewed, issues found by severity, auto-approvals, spend.

    High impact First result in 2 weeks
  3. 3

    Turn MacroscopeBench into a subscribed, embeddable leaderboard engineers return to

    Add an email capture for leaderboard updates and an embed code to the benchmark page.

    High impact First result in 2 weeks

02

Your idea portfolio

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

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

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

Effort vs impactEach number is an idea. Select one to open it.
Impact →
Quick wins · 6Big bets · 12Fill-ins · 1Reconsider · 3
Effort →

Showing 22 of 22 ideas

This week 6

Quick wins with a clear first action.

  • 01

    The Founding BDR is asked to "separate the single engineer kicking tires from the 200-person org" in the inbound the PLG motion generates. Every install already tells you the GitHub organization; its size, repo count and activity are public.

    High impactLow effort First result in 2 weeks GTM Engineer

    First action

    Pull last month's installs and rank them by GitHub org size to see how many large orgs are already trying it.

    How to measure it

    Opportunities from routed installs

    Now
    –
    Target
    8 a month
    By
    6 weeks

    Steps

    1. 1

      Rank last month's installs

      By org members, active repos and PR volume.

      GTM Engineer 2 hours

    2. 2

      Set the threshold

      Which orgs go to the BDR (e.g. 50+ engineers).

      Founding BDR 30 minutes

    3. 3

      Automate enrichment

      On install, enrich the org and the installer.

      GTM Engineer 2 days

    4. 4

      Post to Slack

      Org, installer, repos, usage so far, suggested opener.

      GTM Engineer 1 day

    5. 5

      Write the opener

      Help-first: "here is what Macroscope found in your first PRs".

      Founding BDR 1 hour

    6. 6

      Review weekly

      Which signals led to meetings.

      Founding BDR 30 minutes a week

    First result
    2 weeks
    Cost
    Enrichment tool costs
    Owner
    GTM Engineer

    Smallest test

    Hand-rank this week's installs and have the BDR email the top five.

    Why it works

    On each install, enrich the GitHub org (members, active repos, PR volume, funding, engineering hiring) and post installs above a threshold to a Slack channel for the BDR with a suggested first message and the repos connected.

    The GTM Engineer owns routing and enrichment, and the AE sells to Fortune 1000s and breakout AI startups. An engineer at a large org who installs on one repo is the cheapest enterprise lead Macroscope will ever get.

    Risks and how to handle them

    • Engineers dislike sales follow-up after a trial

      Open with the bugs Macroscope caught on their PRs, not a meeting ask.

    Evidence

    • HiringFounding BDR: "build the top of our enterprise funnel from scratch"; the buyer is "a CTO, VP of Engineering, or founder who still reviews diffs"; "Use GitHub signals, engineering hiring patterns, funding events"; "Work the meaningful inbound our PLG motion generates. Separate the single engineer kicking tires from the 200-person org".Source
    • HiringGTM Engineer: own CRM architecture, lead routing, enrichment, onboarding workflows, reporting and AI-powered automations. Account Executive: full-cycle enterprise sales "from Fortune 1000s to breakout AI startups", with CEOs, CTOs, procurement and legal, and onboarding that shows "measurable business value".Source
    • Your websiteUsage-based pricing page: "About $0.95 per review on average, never per seat", "most cost just $0.50"; start with $100 in usage credit; "5 min" to install the GitHub app and get a first review; "20x cheaper than Claude Code reviews, with better precision and recall"; SOC 2 Type II. Quotes from Michael York (CEO, Casa): "Macroscope's commit summaries are the beating heart of our engineering organization", and Marcel Molina (CTO and Cofounder, Particle).Source
  • 02

    The benchmark ranks frontier models on 12,000+ real bugs by score, cost and duration. No other code review vendor publishes a model leaderboard with cost, and it currently has no email capture, no embed and no update alert.

    High impactLow effort First result in 2 weeks Founding Product Marketing

    First action

    Add an email capture for leaderboard updates and an embed code to the benchmark page.

    How to measure it

    Benchmark update subscribers

    Now
    –
    Target
    2,000
    By
    end of quarter

    Steps

    1. 1

      Add a subscribe box

      "Email me when a new model is ranked."

      GTM Engineer 2 hours

    2. 2

      Add a cost view

      Best model per dollar and per minute.

      Founding Product Marketing 1 day

    3. 3

      Make it embeddable

      A chart others can put in posts.

      GTM Engineer 1 day

    4. 4

      Write the method summary

      Five bullets on how bugs are validated.

      Founding Product Marketing 2 hours

    5. 5

      Link to the product

      How Macroscope picks models per mode.

      Founding Product Marketing 1 hour

    6. 6

      Announce

      Founders post the current top three with costs.

      Founders 30 minutes

    First result
    2 weeks
    Cost
    $0
    Owner
    Founding Product Marketing

    Smallest test

    Add the subscribe box alone and count signups for two weeks.

    Why it works

    Add "get updates when a new model is ranked", an embeddable chart, a "best model per dollar" view and a short methodology summary, and link each model's row to how Macroscope uses it.

    The Founding Product Marketing hire owns launch and distribution. A leaderboard that updates with every model release creates a recurring reason for engineers to visit, share and cite it.

    Risks and how to handle them

    • Model vendors dispute results

      Publish the method and offer re-runs on request.

    Evidence

    • Your websiteMacroscopeBench (September 22, 2026): a proprietary benchmark of 12,000+ validated bugs from 1,500+ public repositories in 14 languages; the public leaderboard ranks AI models by score, recall, precision, cost and duration (Claude Opus 5.5 at max effort scores 83.9; GPT-6.1 Sol at max effort 78.5 for $1.05). It does not list Macroscope's own product; dataset access is by request.Source
    • HiringFounding GTM, Product Marketing: own positioning, lead launches, create technical content (demos, walkthroughs, videos), "Develop a repeatable launch and distribution motion across product, content, social, community, partnerships, and events", and build partnerships "in the developer and AI ecosystem".Source
    • Your websiteRecent launches: Murmur (September 3, 2026), expanded Detection Mode with Budget, Balanced, Precise and Ultra modes (August 28), the Macroscope CLI (July 22) and open source models for check run agents.Source
  • 03

    The homepage shows logos and a headline but no numbers or quotes; the strongest proof (about $0.95 per review, 40% of PRs auto-approved, 5 minutes to the first review, the Casa and Particle quotes) is on secondary pages most visitors never reach.

    High impactLow effort First result in 2 weeks Founding Product Marketing

    First action

    Write the proof row copy and pick the quote.

    How to measure it

    Homepage start-free rate

    Now
    –
    Target
    +15% relative
    By
    4 weeks

    Steps

    1. 1

      Pick three numbers

      $0.95 a review, 40% auto-approved, 5 minutes.

      Founding Product Marketing 30 minutes

    2. 2

      Pick one quote

      Casa or Particle, with name and title.

      Founding Product Marketing 15 minutes

    3. 3

      Design the row

      Under the hero, links to each page.

      Motion Designer / Video Producer 1 day

    4. 4

      Ship as a test

      Half of traffic for two weeks.

      GTM Engineer 2 hours

    5. 5

      Measure

      Start-free clicks and installs.

      GTM Engineer 30 minutes

    6. 6

      Keep the winner

      Roll out the better version.

      Founding Product Marketing 15 minutes

    First result
    2 weeks
    Cost
    $0
    Owner
    Founding Product Marketing

    Smallest test

    Add the 40% auto-approved line alone.

    Why it works

    Add a proof row under the hero with the three numbers and one founder or CTO quote, each linking to its page, and test it against the current homepage.

    The buyer is a CTO "who still reviews diffs" and who deletes generic AI tool emails. Specific numbers answer "is this worth five minutes" faster than a tagline.

    Risks and how to handle them

    • Average cost claims change

      Pull the numbers from the same source as the pricing page.

    Evidence

    • Your websiteHomepage: "Command your own software factory"; products Murmur (beta: cloud agents that write code and verify it in sandboxes), Code Review and Status; logos for Cars24, Parallel, UnitedMasters, Lightfield, Tilt, Pydantic, Particle, Imprint and Casa; calls to action "Start Free" (GitHub) and "Book Demo". The homepage has no customer numbers or testimonials.Source
    • Your websiteUsage-based pricing page: "About $0.95 per review on average, never per seat", "most cost just $0.50"; start with $100 in usage credit; "5 min" to install the GitHub app and get a first review; "20x cheaper than Claude Code reviews, with better precision and recall"; SOC 2 Type II. Quotes from Michael York (CEO, Casa): "Macroscope's commit summaries are the beating heart of our engineering organization", and Marcel Molina (CTO and Cofounder, Particle).Source
    • Your websiteApprovability: "Across our customers, Macroscope auto-approves 40% of PRs", after three checks (eligibility, a clean correctness review, and optional CODEOWNERS ownership).Source
    • HiringFounding BDR: "build the top of our enterprise funnel from scratch"; the buyer is "a CTO, VP of Engineering, or founder who still reviews diffs"; "Use GitHub signals, engineering hiring patterns, funding events"; "Work the meaningful inbound our PLG motion generates. Separate the single engineer kicking tires from the 200-person org".Source
  • 04

    Each new model release sends engineers looking for real comparisons. Macroscope can rank a new model on 12,000+ bugs and show cost and time, and the motion designer is hired to make video at a steady cadence.

    High impactMedium effort First result in Next model launch Motion Designer / Video Produ…

    First action

    Build the chart and video templates in Remotion so a new row can render automatically.

    How to measure it

    Signups in launch weeks

    Now
    –
    Target
    2× a normal week
    By
    next two model launches

    Steps

    1. 1

      Template the chart

      Code-driven video that renders from the leaderboard data.

      Motion Designer / Video Producer 3 days

    2. 2

      Template the post

      Three lines: rank, cost, what it means for code review.

      Founding Product Marketing 1 hour

    3. 3

      Set the run

      Benchmark job ready to run on a new model.

      Founders 1 day

    4. 4

      Assign the 48 hours

      Who runs, who writes, who posts.

      Founding Product Marketing 30 minutes

    5. 5

      Email subscribers

      Same day as the post.

      GTM Engineer 30 minutes

    6. 6

      Review after each launch

      Views, shares and signups.

      Founding Product Marketing 30 minutes

    First result
    Next model launch
    Cost
    Model inference costs per run
    Owner
    Motion Designer / Video Producer

    Smallest test

    Do it once by hand for the next release.

    Why it works

    Prepare templates so that within 48 hours of a model launch the team publishes the new ranking, a 30-second chart video and a founder post, and emails benchmark subscribers.

    Speed is the advantage: the first credible numbers after a launch get shared and cited. It turns the benchmark into a repeatable news engine for the launch motion the PMM is asked to build.

    Risks and how to handle them

    • A rushed run is wrong

      Publish "preliminary" until the full run finishes.

    Builds on

    Evidence

    • Your websiteMacroscopeBench (September 22, 2026): a proprietary benchmark of 12,000+ validated bugs from 1,500+ public repositories in 14 languages; the public leaderboard ranks AI models by score, recall, precision, cost and duration (Claude Opus 5.5 at max effort scores 83.9; GPT-6.1 Sol at max effort 78.5 for $1.05). It does not list Macroscope's own product; dataset access is by request.Source
    • HiringMotion Designer / Video Producer: own all visual marketing output; success is "Every feature ships with a launch video" plus "a steady, always-on cadence of social video"; build a motion pipeline using coding agents and code-driven video such as Remotion; works with the founders and a growth marketer.Source
    • HiringFounding GTM, Product Marketing: own positioning, lead launches, create technical content (demos, walkthroughs, videos), "Develop a repeatable launch and distribution motion across product, content, social, community, partnerships, and events", and build partnerships "in the developer and AI ecosystem".Source
  • 05

    Approvability auto-approves 40% of PRs across customers and pricing is usage-based at about $0.95 a review. An AE selling to a CTO needs those two numbers turned into hours and dollars for that team.

    High impactLow effort First result in 2 weeks Account Executive

    First action

    Agree the calculation and default values with the founders.

    How to measure it

    Enterprise deals using the calculator

    Now
    –
    Target
    100%
    By
    end of quarter

    Steps

    1. 1

      Set the formula

      PRs, review minutes, auto-approve rate, cost per review.

      Account Executive 2 hours

    2. 2

      Pick defaults

      From customer averages.

      Technical Customer Success Engineer 1 hour

    3. 3

      Build the page

      Simple inputs, one result.

      GTM Engineer 2 days

    4. 4

      Pre-fill from GitHub

      PR volume from the prospect's installed repos where available.

      GTM Engineer 2 days

    5. 5

      Use in deals

      A PDF result in every proposal.

      Account Executive ongoing

    6. 6

      Check against reality

      Compare with customers' actual auto-approve rates.

      Technical Customer Success Engineer quarterly

    First result
    2 weeks
    Cost
    $0
    Owner
    Account Executive

    Smallest test

    A spreadsheet version in the next three deals.

    Why it works

    Build a calculator: PRs per month, average review minutes and loaded engineer cost in; review hours saved, Macroscope cost and net value out. Use it on the Approvability page and in every enterprise deal.

    The AE role asks for "measurable business value" with CEOs, CTOs and procurement. A calculator makes the usage-based price a simple comparison with engineer time.

    Risks and how to handle them

    • Prospects doubt the 40%

      Show their own rate after a two-week trial.

    Evidence

    • Your websiteApprovability: "Across our customers, Macroscope auto-approves 40% of PRs", after three checks (eligibility, a clean correctness review, and optional CODEOWNERS ownership).Source
    • Your websiteUsage-based pricing page: "About $0.95 per review on average, never per seat", "most cost just $0.50"; start with $100 in usage credit; "5 min" to install the GitHub app and get a first review; "20x cheaper than Claude Code reviews, with better precision and recall"; SOC 2 Type II. Quotes from Michael York (CEO, Casa): "Macroscope's commit summaries are the beating heart of our engineering organization", and Marcel Molina (CTO and Cofounder, Particle).Source
    • HiringGTM Engineer: own CRM architecture, lead routing, enrichment, onboarding workflows, reporting and AI-powered automations. Account Executive: full-cycle enterprise sales "from Fortune 1000s to breakout AI startups", with CEOs, CTOs, procurement and legal, and onboarding that shows "measurable business value".Source
  • 06

    Teams start with $100 of usage credit and a first review in five minutes, but the person who installs is usually an engineer, while the buyer is a CTO or VP of Engineering. The proof is already in their own PRs.

    High impactLow effort First result in 2 weeks GTM Engineer

    First action

    Write the report query: PRs reviewed, issues found by severity, auto-approvals, spend.

    How to measure it

    Credit-to-paid conversion

    Now
    –
    Target
    +20% relative
    By
    6 weeks

    Steps

    1. 1

      Write the query

      Reviews, bugs by severity, approvals, spend.

      GTM Engineer 1 day

    2. 2

      Design the email

      Three numbers and the top three bugs with links.

      Founding Product Marketing 1 day

    3. 3

      Add a forward option

      One click to send to an engineering lead.

      GTM Engineer 1 day

    4. 4

      Send on day 7

      Automated for every new install.

      GTM Engineer 2 hours

    5. 5

      Alert the BDR

      Large orgs get a heads-up with the report.

      GTM Engineer 1 hour

    6. 6

      Measure

      Opens, forwards and conversion.

      GTM Engineer 30 minutes a week

    First result
    2 weeks
    Cost
    $0
    Owner
    GTM Engineer

    Smallest test

    Send the report by hand to ten installs from last week.

    Why it works

    Seven days after install, email the installer (and, if they opt in, their engineering lead) a summary: PRs reviewed, bugs caught with links, PRs auto-approved, cost so far, and a Status preview.

    It turns trial usage into a forwardable case for the buyer, feeds the BDR with real results to reference, and lifts conversion from credit to paid.

    Risks and how to handle them

    • A quiet week shows nothing

      Send only when at least five PRs were reviewed; otherwise send setup tips.

    Builds on

    Evidence

    • Your websiteUsage-based pricing page: "About $0.95 per review on average, never per seat", "most cost just $0.50"; start with $100 in usage credit; "5 min" to install the GitHub app and get a first review; "20x cheaper than Claude Code reviews, with better precision and recall"; SOC 2 Type II. Quotes from Michael York (CEO, Casa): "Macroscope's commit summaries are the beating heart of our engineering organization", and Marcel Molina (CTO and Cofounder, Particle).Source
    • HiringFounding BDR: "build the top of our enterprise funnel from scratch"; the buyer is "a CTO, VP of Engineering, or founder who still reviews diffs"; "Use GitHub signals, engineering hiring patterns, funding events"; "Work the meaningful inbound our PLG motion generates. Separate the single engineer kicking tires from the 200-person org".Source
    • Your websiteApprovability: "Across our customers, Macroscope auto-approves 40% of PRs", after three checks (eligibility, a clean correctness review, and optional CODEOWNERS ownership).Source

This quarter 9

The core plays for the next three months.

  • 07

    The motion designer's first success measure is "Every feature ships with a launch video", and the team ships often (Murmur, Detection Mode, the CLI, open source check-run models within three months). Most of those launches went out as blog posts.

    High impactMedium effort First result in 1 month Motion Designer / Video Produ…

    First action

    Pick the next three releases and storyboard their videos.

    How to measure it

    Launches with a video

    Now
    –
    Target
    100%
    By
    end of quarter

    Steps

    1. 1

      Build templates

      Remotion templates for UI, terminal and PR views.

      Motion Designer / Video Producer 2 weeks

    2. 2

      Connect to releases

      Pull titles and notes from the release PR.

      Motion Designer / Video Producer 1 week

    3. 3

      Record screens

      A standard capture setup for engineers.

      Motion Designer / Video Producer 1 day

    4. 4

      Publish everywhere

      X, LinkedIn, YouTube and the changelog.

      Founding Product Marketing per launch

    5. 5

      Founder amplification

      Founders share each launch.

      Founders per launch

    6. 6

      Measure

      Views, clicks and installs per video.

      GTM Engineer monthly

    First result
    1 month
    Cost
    $0 beyond the hire
    Owner
    Motion Designer / Video Producer

    Smallest test

    Make a video for the next release by hand.

    Why it works

    Build the Remotion pipeline so each release gets a 20 to 40 second video from the PR description and screen recordings, published to X, LinkedIn and YouTube and embedded in a visual changelog page.

    Short product videos are what developers share, and a steady cadence builds the brand the PMM is asked to make distinctive. The pipeline keeps it from becoming a bottleneck.

    Risks and how to handle them

    • Quality drops with volume

      Two tiers: big launches get full production, small ones use templates.

    Evidence

    • HiringMotion Designer / Video Producer: own all visual marketing output; success is "Every feature ships with a launch video" plus "a steady, always-on cadence of social video"; build a motion pipeline using coding agents and code-driven video such as Remotion; works with the founders and a growth marketer.Source
    • Your websiteRecent launches: Murmur (September 3, 2026), expanded Detection Mode with Budget, Balanced, Precise and Ultra modes (August 28), the Macroscope CLI (July 22) and open source models for check run agents.Source
    • HiringFounding GTM, Product Marketing: own positioning, lead launches, create technical content (demos, walkthroughs, videos), "Develop a repeatable launch and distribution motion across product, content, social, community, partnerships, and events", and build partnerships "in the developer and AI ecosystem".Source
  • 08

    The BDR is told to use "GitHub signals, engineering hiring patterns, funding events". Public repos show which review bots comment on PRs (CodeRabbit, Copilot, Greptile, Bugbot) and how long PRs wait for review.

    High impactMedium effort First result in 4 weeks Founding BDR

    First action

    Scan 500 target orgs' public repos for review bot comments and median time to first review.

    How to measure it

    Meetings from signal outbound

    Now
    –
    Target
    12 a month
    By
    end of quarter

    Steps

    1. 1

      Build the scan

      Public PRs: bots present, time to first review.

      GTM Engineer 1 week

    2. 2

      Add hiring and funding

      Engineering hiring and recent rounds.

      GTM Engineer 2 days

    3. 3

      Segment

      Competitor users, slow reviewers, fast growers.

      Founding BDR 1 day

    4. 4

      Write per segment

      Short, specific openers that cite a real pattern.

      Founding BDR 2 days

    5. 5

      Offer a side-by-side

      Run Macroscope on the same PRs and share results.

      Founding BDR ongoing

    6. 6

      Kill what fails

      Drop segments with no replies after 100 sends.

      Founding BDR weekly

    First result
    4 weeks
    Cost
    $0 plus enrichment
    Owner
    Founding BDR

    Smallest test

    Send 30 messages to orgs using a competitor bot.

    Why it works

    Scan public repos of target companies for competitor bot comments and review wait times, combine with engineering hiring and funding, and write outreach that references a specific PR pattern and offers a side-by-side on the same PRs.

    It gives the BDR the "specific and true reason" the job post demands, and comparison pages and MacroscopeBench give them proof to send.

    Risks and how to handle them

    • Feels like surveillance of their repos

      Reference public, aggregate patterns only and lead with a useful finding.

    Evidence

    • HiringFounding BDR: "build the top of our enterprise funnel from scratch"; the buyer is "a CTO, VP of Engineering, or founder who still reviews diffs"; "Use GitHub signals, engineering hiring patterns, funding events"; "Work the meaningful inbound our PLG motion generates. Separate the single engineer kicking tires from the 200-person org".Source
    • Search resultsCompetitor guides (2026): CodeRabbit has the broadest platform coverage (GitHub, GitLab, Bitbucket, Azure DevOps) from $24 per developer a month; Greptile prices at $30 a seat including 50 reviews, then $1 a review, and topped Martian's July 2026 code review leaderboard; Cursor moved Bugbot to usage-based billing in 2026; Graphite Diamond fits stacked-PR workflows.Source
    • programmable.infoSite scan: 74 /content pages (pricing comparisons, alternatives, "best AI code review tools 2026"), 11 comparison pages (CodeRabbit, Greptile, Cursor Bugbot, Graphite, Copilot, Qodo, SonarQube, Augment, Codacy, Cubic, CodeAnt), monthly webinars (September and October 2026, plus one with Fireworks), a Slack app and a CLI; 34 blog posts including Cars24 and Pydantic case studies.Source
  • 09

    Macroscope already offers free credits to non-commercial open source projects and has a Pydantic case study. On a popular repo, every contributor sees Macroscope's review on their PR, and many of them work at companies that could buy it.

    High impactMedium effort First result in 6 weeks Founding Product Marketing

    First action

    List 100 repos by monthly PR volume and active contributors.

    How to measure it

    Active open source repos on Macroscope

    Now
    –
    Target
    50
    By
    end of quarter

    Steps

    1. 1

      Pick the repos

      High PR volume, active maintainers, supported languages.

      Founding Product Marketing 2 days

    2. 2

      Personal invites

      From a founder or engineer, not a template.

      Founders 2 weeks

    3. 3

      Set up together

      Help tune modes to avoid noise.

      Technical Customer Success Engineer ongoing

    4. 4

      Track contributor reach

      Unique contributors who saw a review.

      GTM Engineer 2 days

    5. 5

      Publish stories

      One maintainer story a month.

      Founding Product Marketing monthly

    6. 6

      Route employer interest

      Contributors from target companies go to the BDR.

      GTM Engineer ongoing

    First result
    6 weeks
    Cost
    Usage credits for the repos
    Owner
    Founding Product Marketing

    Smallest test

    Onboard ten repos and measure contributor reactions.

    Why it works

    Personally invite maintainers of 100 high-traffic repos in the languages Macroscope covers best, help them set up, and publish a maintainer story each month.

    It is distribution through the work developers already do. The PMM is asked to build community and partnerships in the developer ecosystem, and maintainers are its most credible voices.

    Risks and how to handle them

    • Noisy reviews annoy maintainers

      Start on Budget mode with tuned rules and check in weekly.

    Evidence

    • Your websiteMacroscope for Open Source: free credits for qualified non-commercial open source projects, starting on the Budget mode; Pydantic is a published case study.Source
    • HiringFounding GTM, Product Marketing: own positioning, lead launches, create technical content (demos, walkthroughs, videos), "Develop a repeatable launch and distribution motion across product, content, social, community, partnerships, and events", and build partnerships "in the developer and AI ecosystem".Source
    • programmable.infoSite scan: 74 /content pages (pricing comparisons, alternatives, "best AI code review tools 2026"), 11 comparison pages (CodeRabbit, Greptile, Cursor Bugbot, Graphite, Copilot, Qodo, SonarQube, Augment, Codacy, Cubic, CodeAnt), monthly webinars (September and October 2026, plus one with Fireworks), a Slack app and a CLI; 34 blog posts including Cars24 and Pydantic case studies.Source
  • 10

    Casa's CEO calls Macroscope's commit summaries "the beating heart of our engineering organization". Status shows what changed and why across repos, which is exactly what a CTO or CEO wants and what an AE needs to sell top-down.

    High impactMedium effort First result in 2 months Account Executive

    First action

    Ask Casa and Particle what in Status they read each week.

    How to measure it

    Close rate of deals with a Status sample

    Now
    –
    Target
    +20% relative
    By
    2 quarters

    Steps

    1. 1

      Learn from customers

      What leaders read in Status.

      Technical Customer Success Engineer 1 week

    2. 2

      Design the sample

      One page from the connected repos.

      Founding Product Marketing 1 week

    3. 3

      Automate it

      Generate on demand for AEs.

      GTM Engineer 1 week

    4. 4

      Use in deals

      Send to the leader after week one.

      Account Executive ongoing

    5. 5

      Offer an org trial

      Status plus review across all repos.

      Account Executive ongoing

    6. 6

      Measure

      Close rate with and without the sample.

      GTM Engineer monthly

    First result
    2 months
    Cost
    $0
    Owner
    Account Executive

    Smallest test

    Send three leaders a sample by hand.

    Why it works

    For enterprise prospects who connect a few repos, send the leader a sample weekly Status summary of their own work, then offer an org-wide trial of Status plus Code Review.

    The AE sells to CEOs and CTOs; a summary of their own team's week is more persuasive than any deck, and it widens the deal beyond review.

    Risks and how to handle them

    • Summaries expose sensitive work

      Send only to people the prospect names.

    Builds on

    Evidence

    • Your websiteUsage-based pricing page: "About $0.95 per review on average, never per seat", "most cost just $0.50"; start with $100 in usage credit; "5 min" to install the GitHub app and get a first review; "20x cheaper than Claude Code reviews, with better precision and recall"; SOC 2 Type II. Quotes from Michael York (CEO, Casa): "Macroscope's commit summaries are the beating heart of our engineering organization", and Marcel Molina (CTO and Cofounder, Particle).Source
    • Your websiteHomepage: "Command your own software factory"; products Murmur (beta: cloud agents that write code and verify it in sandboxes), Code Review and Status; logos for Cars24, Parallel, UnitedMasters, Lightfield, Tilt, Pydantic, Particle, Imprint and Casa; calls to action "Start Free" (GitHub) and "Book Demo". The homepage has no customer numbers or testimonials.Source
    • HiringGTM Engineer: own CRM architecture, lead routing, enrichment, onboarding workflows, reporting and AI-powered automations. Account Executive: full-cycle enterprise sales "from Fortune 1000s to breakout AI startups", with CEOs, CTOs, procurement and legal, and onboarding that shows "measurable business value".Source
  • 11

    Macroscope runs monthly webinars and has already done one with Fireworks. Model providers want proof that their models do real work; Macroscope has a benchmark that shows it.

    Medium impactMedium effort First result in 1 month Founding Product Marketing

    First action

    Ask the Fireworks contact for a follow-up session and two other providers for intros.

    How to measure it

    Webinar registrants

    Now
    –
    Target
    400 a month
    By
    third co-hosted session

    Steps

    1. 1

      Pick co-hosts

      Providers that rank well on the benchmark.

      Founding Product Marketing 1 week

    2. 2

      Agree the topic

      One model, one finding, one demo.

      Founding Product Marketing 1 day

    3. 3

      Co-promote

      Both companies' channels.

      Founding Product Marketing 2 weeks

    4. 4

      Run it

      45 minutes with live Q&A.

      Founders 1 hour

    5. 5

      Cut clips

      Three short videos per session.

      Motion Designer / Video Producer 1 day

    6. 6

      Follow up

      Attendees from target orgs go to the BDR.

      GTM Engineer 1 day

    First result
    1 month
    Cost
    $0
    Owner
    Founding Product Marketing

    Smallest test

    One session with Fireworks.

    Why it works

    Rotate a model provider as co-host each month (Fireworks, open model labs, frontier labs where possible) to discuss how their model performs on real bugs and what it costs, promoted to both audiences.

    Each co-host brings its developer audience, and the PMM's brief includes partnerships in the AI ecosystem. The benchmark gives every session real content.

    Risks and how to handle them

    • Co-hosts want favourable results only

      Show the full leaderboard; pick co-hosts who already rank well.

    Builds on

    Evidence

    • programmable.infoSite scan: 74 /content pages (pricing comparisons, alternatives, "best AI code review tools 2026"), 11 comparison pages (CodeRabbit, Greptile, Cursor Bugbot, Graphite, Copilot, Qodo, SonarQube, Augment, Codacy, Cubic, CodeAnt), monthly webinars (September and October 2026, plus one with Fireworks), a Slack app and a CLI; 34 blog posts including Cars24 and Pydantic case studies.Source
    • Your websiteMacroscopeBench (September 22, 2026): a proprietary benchmark of 12,000+ validated bugs from 1,500+ public repositories in 14 languages; the public leaderboard ranks AI models by score, recall, precision, cost and duration (Claude Opus 5.5 at max effort scores 83.9; GPT-6.1 Sol at max effort 78.5 for $1.05). It does not list Macroscope's own product; dataset access is by request.Source
    • HiringFounding GTM, Product Marketing: own positioning, lead launches, create technical content (demos, walkthroughs, videos), "Develop a repeatable launch and distribution motion across product, content, social, community, partnerships, and events", and build partnerships "in the developer and AI ecosystem".Source
  • 12

    The AE is asked to sell to Fortune 1000s through procurement and legal, and the customer success engineer leads enterprise-wide rollouts. The site has a SOC 2 trust center, but no single page answering data handling, model providers, retention, admin controls and spend limits.

    High impactMedium effort First result in 1 quarter Technical Customer Success En…

    First action

    Collect the security questionnaires from the last five enterprise deals.

    How to measure it

    Enterprise security review time

    Now
    –
    Target
    -30%
    By
    2 quarters

    Steps

    1. 1

      Collect questionnaires

      Last five enterprise deals.

      Account Executive 1 day

    2. 2

      Answer the top 30

      Approved standard answers.

      Technical Customer Success Engineer 1 week

    3. 3

      Document model data flows

      Which providers, what retention.

      Founders 2 days

    4. 4

      Write the page

      Enterprise controls and rollout plan.

      Founding Product Marketing 3 days

    5. 5

      Build the pack

      PDF plus trust center links.

      Technical Customer Success Engineer 2 days

    6. 6

      Use in every deal

      Send at first technical call.

      Account Executive ongoing

    First result
    1 quarter
    Cost
    $0
    Owner
    Technical Customer Success Engineer

    Smallest test

    Send a draft pack in the next enterprise deal.

    Why it works

    Publish an enterprise page and downloadable pack: SOC 2 Type II, data handling and retention, which model providers see code and under what terms, admin and spend controls, rollout plan and support terms.

    Security and procurement questions are where enterprise deals stall. A pack ready on day one shortens the cycle and makes the AE look prepared.

    Risks and how to handle them

    • GitHub Cloud requirement blocks some enterprises

      State it clearly and track lost deals for the platform decision (idea 16).

    Evidence

    • HiringGTM Engineer: own CRM architecture, lead routing, enrichment, onboarding workflows, reporting and AI-powered automations. Account Executive: full-cycle enterprise sales "from Fortune 1000s to breakout AI startups", with CEOs, CTOs, procurement and legal, and onboarding that shows "measurable business value".Source
    • HiringTechnical Customer Success Engineer: lead "enterprise-wide implementations"; "Macroscope requires GitHub Cloud and operates by analyzing PRs, commits, and code changes through its GitHub integration".Source
    • Your websiteUsage-based pricing page: "About $0.95 per review on average, never per seat", "most cost just $0.50"; start with $100 in usage credit; "5 min" to install the GitHub app and get a first review; "20x cheaper than Claude Code reviews, with better precision and recall"; SOC 2 Type II. Quotes from Michael York (CEO, Casa): "Macroscope's commit summaries are the beating heart of our engineering organization", and Marcel Molina (CTO and Cofounder, Particle).Source
  • 13

    Cars24 and Pydantic stories exist, and the homepage shows nine logos. Macroscope can measure each customer's results directly from usage, which makes stories faster to produce and more specific than interviews alone.

    High impactMedium effort First result in 1 month Founding Product Marketing

    First action

    Ask Lightfield, Parallel and Tilt (all on the homepage) to be the next three.

    How to measure it

    Customer stories with numbers

    Now
    –
    Target
    3
    By
    end of quarter

    Steps

    1. 1

      Pick the customer

      From the logo wall and power users.

      Technical Customer Success Engineer 1 day

    2. 2

      Pull the numbers

      From product data.

      GTM Engineer 1 day

    3. 3

      Short interview

      20 minutes with their engineering lead.

      Founding Product Marketing 1 hour

    4. 4

      Write and approve

      One page, their numbers, their quote.

      Founding Product Marketing 2 days

    5. 5

      Cut a video

      One minute.

      Motion Designer / Video Producer 2 days

    6. 6

      Distribute

      Homepage, outbound and newsletter.

      Founding Product Marketing 1 day

    First result
    1 month
    Cost
    $0
    Owner
    Founding Product Marketing

    Smallest test

    One story with Lightfield.

    Why it works

    Each month, pick a customer, pull their numbers (bugs caught by severity, PRs auto-approved, review time saved), write a short story with their approval and cut a one-minute video.

    Specific, numbered stories feed the homepage, the BDR's outreach and the AE's deals, and the PMM is asked to show rather than tell.

    Risks and how to handle them

    • Customers decline to share numbers

      Use percentages or relative changes.

    Evidence

    • programmable.infoSite scan: 74 /content pages (pricing comparisons, alternatives, "best AI code review tools 2026"), 11 comparison pages (CodeRabbit, Greptile, Cursor Bugbot, Graphite, Copilot, Qodo, SonarQube, Augment, Codacy, Cubic, CodeAnt), monthly webinars (September and October 2026, plus one with Fireworks), a Slack app and a CLI; 34 blog posts including Cars24 and Pydantic case studies.Source
    • Your websiteHomepage: "Command your own software factory"; products Murmur (beta: cloud agents that write code and verify it in sandboxes), Code Review and Status; logos for Cars24, Parallel, UnitedMasters, Lightfield, Tilt, Pydantic, Particle, Imprint and Casa; calls to action "Start Free" (GitHub) and "Book Demo". The homepage has no customer numbers or testimonials.Source
    • Your websiteApprovability: "Across our customers, Macroscope auto-approves 40% of PRs", after three checks (eligibility, a clean correctness review, and optional CODEOWNERS ownership).Source
    • HiringFounding GTM, Product Marketing: own positioning, lead launches, create technical content (demos, walkthroughs, videos), "Develop a repeatable launch and distribution motion across product, content, social, community, partnerships, and events", and build partnerships "in the developer and AI ecosystem".Source
  • 14

    Murmur, launched in beta in September, orchestrates cloud agents that write and verify code. The teams most likely to use it well are those already running high volumes of reviews and auto-approvals.

    High impactMedium effort First result in 6 weeks Founders

    First action

    Rank Code Review customers by PR volume and auto-approval rate.

    How to measure it

    Active Murmur design partners

    Now
    –
    Target
    12
    By
    end of quarter

    Steps

    1. 1

      Rank customers

      By PR volume and auto-approval rate.

      GTM Engineer 1 day

    2. 2

      Invite 20

      From a founder, with a clear ask.

      Founders 1 week

    3. 3

      Set up channels

      Shared Slack per partner.

      Technical Customer Success Engineer 1 day each

    4. 4

      Weekly feedback

      One call a week per partner.

      Founders ongoing

    5. 5

      Agree stories

      Case study once results are clear.

      Founding Product Marketing ongoing

    6. 6

      Launch publicly

      With partner quotes and a video.

      Motion Designer / Video Producer at general availability

    First result
    6 weeks
    Cost
    Usage credits for partners
    Owner
    Founders

    Smallest test

    Invite five customers this week.

    Why it works

    Invite the top 20 Code Review customers by PR volume and auto-approval rate into a Murmur design-partner program with a direct Slack channel, weekly feedback and an agreed case study.

    It turns Code Review usage into Murmur adoption, produces the first Murmur stories, and moves the brand toward "software factory", the homepage headline.

    Risks and how to handle them

    • Beta issues hurt Code Review relationships

      Keep Murmur on separate repos or branches at first.

    Evidence

    • Your websiteHomepage: "Command your own software factory"; products Murmur (beta: cloud agents that write code and verify it in sandboxes), Code Review and Status; logos for Cars24, Parallel, UnitedMasters, Lightfield, Tilt, Pydantic, Particle, Imprint and Casa; calls to action "Start Free" (GitHub) and "Book Demo". The homepage has no customer numbers or testimonials.Source
    • Your websiteRecent launches: Murmur (September 3, 2026), expanded Detection Mode with Budget, Balanced, Precise and Ultra modes (August 28), the Macroscope CLI (July 22) and open source models for check run agents.Source
    • Your websiteApprovability: "Across our customers, Macroscope auto-approves 40% of PRs", after three checks (eligibility, a clean correctness review, and optional CODEOWNERS ownership).Source
  • 15

    Usage-based pricing means revenue grows with the number of repos and PRs reviewed. Many teams start on a few repos; the customer success engineer leads "enterprise-wide implementations".

    High impactMedium effort First result in 1 month Technical Customer Success En…

    First action

    List customers using Macroscope on less than a quarter of their active repos.

    How to measure it

    Average repo coverage per paying customer

    Now
    –
    Target
    +25 points
    By
    2 quarters

    Steps

    1. 1

      Find the gap

      Active repos versus covered repos per customer.

      GTM Engineer 2 days

    2. 2

      Set the trigger

      When a customer is ready to expand.

      Technical Customer Success Engineer 1 hour

    3. 3

      Usage report

      Results so far for the engineering lead.

      Technical Customer Success Engineer per customer

    4. 4

      Rollout plan

      Repo order and modes per repo.

      Technical Customer Success Engineer per customer

    5. 5

      Spend controls

      Show the cap and forecast.

      Technical Customer Success Engineer per customer

    6. 6

      Track

      Coverage and revenue per customer monthly.

      GTM Engineer monthly

    First result
    1 month
    Cost
    $0
    Owner
    Technical Customer Success Engineer

    Smallest test

    Run the play with three customers.

    Why it works

    Define the moment to expand (two weeks of clean reviews, a high auto-approval rate), then run a set play: a usage report to the engineering lead, a rollout plan by repo, mode tuning per repo and a spend cap the leader controls.

    Net revenue grows from expansion more than new logos in usage-based products. A clear play gives the CSE a repeatable motion and gives buyers control over cost.

    Risks and how to handle them

    • Unexpected spend after expansion

      Set spend caps and forecasts before turning on new repos.

    Evidence

    • Your websiteUsage-based pricing page: "About $0.95 per review on average, never per seat", "most cost just $0.50"; start with $100 in usage credit; "5 min" to install the GitHub app and get a first review; "20x cheaper than Claude Code reviews, with better precision and recall"; SOC 2 Type II. Quotes from Michael York (CEO, Casa): "Macroscope's commit summaries are the beating heart of our engineering organization", and Marcel Molina (CTO and Cofounder, Particle).Source
    • HiringTechnical Customer Success Engineer: lead "enterprise-wide implementations"; "Macroscope requires GitHub Cloud and operates by analyzing PRs, commits, and code changes through its GitHub integration".Source
    • Your websiteApprovability: "Across our customers, Macroscope auto-approves 40% of PRs", after three checks (eligibility, a clean correctness review, and optional CODEOWNERS ownership).Source

Big bets 4

Larger plays that can change the trajectory.

  • 16

    Macroscope "requires GitHub Cloud", while CodeRabbit covers GitHub, GitLab, Bitbucket and Azure DevOps. The AE is asked to sell to Fortune 1000s, many of which run self-hosted GitHub or GitLab.

    High impactHigh effort First result in 2 quarters Founders

    First action

    Tag every lost or stalled deal since launch by source-control platform.

    How to measure it

    Pipeline from newly supported platforms

    Now
    –
    Target
    set from the blocked-deal count
    By
    2 quarters after launch

    Steps

    1. 1

      Count blocked deals

      Lost or stalled by platform.

      Account Executive 1 week

    2. 2

      Pick the platform

      The most common blocker first.

      Founders 1 day

    3. 3

      Design the integration

      Same review flow, enterprise deployment.

      Founders 1 month

    4. 4

      Build and test

      With two design-partner enterprises.

      Founders 1 to 2 quarters

    5. 5

      Update the pack

      Deployment and security notes.

      Technical Customer Success Engineer 1 week

    6. 6

      Re-open deals

      Every blocked deal gets a call.

      Account Executive at launch

    First result
    2 quarters
    Cost
    One to two quarters of engineering
    Owner
    Founders

    Smallest test

    Ask the next ten enterprise prospects which platform they use.

    Why it works

    Measure how many enterprise prospects are blocked by platform, then build support for the most common one first (likely GitHub Enterprise Server), with the enterprise pack updated for self-hosted deployments.

    Platform coverage is a hard gate in enterprise deals; no amount of marketing wins a deal the product cannot install in.

    Risks and how to handle them

    • Splits engineering focus

      Build only after the blocked-deal count justifies it.

    Builds on

    Evidence

    • HiringTechnical Customer Success Engineer: lead "enterprise-wide implementations"; "Macroscope requires GitHub Cloud and operates by analyzing PRs, commits, and code changes through its GitHub integration".Source
    • Search resultsCompetitor guides (2026): CodeRabbit has the broadest platform coverage (GitHub, GitLab, Bitbucket, Azure DevOps) from $24 per developer a month; Greptile prices at $30 a seat including 50 reviews, then $1 a review, and topped Martian's July 2026 code review leaderboard; Cursor moved Bugbot to usage-based billing in 2026; Graphite Diamond fits stacked-PR workflows.Source
    • HiringGTM Engineer: own CRM architecture, lead routing, enrichment, onboarding workflows, reporting and AI-powered automations. Account Executive: full-cycle enterprise sales "from Fortune 1000s to breakout AI startups", with CEOs, CTOs, procurement and legal, and onboarding that shows "measurable business value".Source
  • 17

    The benchmark is proprietary, while Greptile cites a third-party leaderboard (Martian) for its claims. A public, runnable subset of real bugs would let any tool, including competitors, be scored on Macroscope's terms.

    High impactHigh effort First result in 2 quarters Founders

    First action

    Choose the subset size and the rules for keeping a private held-out set.

    How to measure it

    Tools scored on the public subset

    Now
    –
    Target
    8
    By
    2 quarters after release

    Steps

    1. 1

      Pick the subset

      Balanced by language and severity.

      Founders 2 weeks

    2. 2

      Build the harness

      Runs any reviewer against the subset.

      Founders 1 month

    3. 3

      Write the method

      Validation, scoring and held-out rules.

      Founding Product Marketing 1 week

    4. 4

      Release on GitHub

      With a public leaderboard.

      Founders 1 day

    5. 5

      Invite submissions

      Vendors and researchers.

      Founding Product Marketing 1 month

    6. 6

      Rerun quarterly

      New bugs, same rules.

      Founders quarterly

    First result
    2 quarters
    Cost
    About a month of engineering plus compute
    Owner
    Founders

    Smallest test

    Release 100 bugs and the harness and see who runs it.

    Why it works

    Release a held-out-protected public subset (for example 1,000 bugs across 14 languages) with a scoring harness, invite vendors and researchers to submit, and keep the full set private to prevent overfitting.

    Owning the measure of quality in a crowded category is a lasting advantage; every citation of the benchmark is a citation of Macroscope.

    Risks and how to handle them

    • Competitors tune to the public set

      Keep the larger held-out set private and report both.

    Builds on

    Evidence

    • Your websiteMacroscopeBench (September 22, 2026): a proprietary benchmark of 12,000+ validated bugs from 1,500+ public repositories in 14 languages; the public leaderboard ranks AI models by score, recall, precision, cost and duration (Claude Opus 5.5 at max effort scores 83.9; GPT-6.1 Sol at max effort 78.5 for $1.05). It does not list Macroscope's own product; dataset access is by request.Source
    • Search resultsCompetitor guides (2026): CodeRabbit has the broadest platform coverage (GitHub, GitLab, Bitbucket, Azure DevOps) from $24 per developer a month; Greptile prices at $30 a seat including 50 reviews, then $1 a review, and topped Martian's July 2026 code review leaderboard; Cursor moved Bugbot to usage-based billing in 2026; Graphite Diamond fits stacked-PR workflows.Source
    • Your websiteAbout: founders Kayvon Beykpour and Joseph Bernstein (co-founded Periscope, acquired by Twitter in 2015; Beykpour led consumer product and engineering at Twitter until 2022) and Robert Bishop (co-founded Magic Pony, acquired by Twitter in 2016); investors Lightspeed, Thrive Capital, GV and Adverb.Source
  • 18

    Macroscope shipped a CLI, writes about reviews for Claude Code, Codex, Cursor and opencode, and claims to be 20x cheaper than Claude Code reviews. As engineers "direct fleets of agents", review needs to run where agents run, not only on GitHub.

    High impactHigh effort First result in 1 quarter Founding Product Marketing

    First action

    Measure how many CLI users run it from inside a coding agent today.

    How to measure it

    Share of reviews started by agents

    Now
    –
    Target
    25%
    By
    2 quarters

    Steps

    1. 1

      Measure current use

      CLI runs by environment.

      GTM Engineer 2 days

    2. 2

      Build an MCP server and skills

      Review before PR, from inside the agent.

      Founders 1 month

    3. 3

      Write setup guides

      One per agent.

      Founding Product Marketing 1 week

    4. 4

      Seek listings

      Agent marketplaces and docs.

      Founding Product Marketing 1 quarter

    5. 5

      Launch with video

      One per agent integration.

      Motion Designer / Video Producer per launch

    6. 6

      Track

      Agent-started reviews and conversions.

      GTM Engineer monthly

    First result
    1 quarter
    Cost
    About a month of engineering
    Owner
    Founding Product Marketing

    Smallest test

    Publish a Claude Code skill and measure installs.

    Why it works

    Package Macroscope as an MCP server and skill for the major coding agents, publish setup guides, and pursue listings or partnerships so agents call Macroscope before opening a PR.

    Distribution through agent workflows reaches individual developers at scale and fits the "software factory" story; the PMM is asked to build partnerships in the AI ecosystem.

    Risks and how to handle them

    • Agent makers build their own review

      Compete on benchmark results and cost per review.

    Evidence

    • Your websiteUsage-based pricing page: "About $0.95 per review on average, never per seat", "most cost just $0.50"; start with $100 in usage credit; "5 min" to install the GitHub app and get a first review; "20x cheaper than Claude Code reviews, with better precision and recall"; SOC 2 Type II. Quotes from Michael York (CEO, Casa): "Macroscope's commit summaries are the beating heart of our engineering organization", and Marcel Molina (CTO and Cofounder, Particle).Source
    • Your websiteRecent launches: Murmur (September 3, 2026), expanded Detection Mode with Budget, Balanced, Precise and Ultra modes (August 28), the Macroscope CLI (July 22) and open source models for check run agents.Source
    • programmable.infoSite scan: 74 /content pages (pricing comparisons, alternatives, "best AI code review tools 2026"), 11 comparison pages (CodeRabbit, Greptile, Cursor Bugbot, Graphite, Copilot, Qodo, SonarQube, Augment, Codacy, Cubic, CodeAnt), monthly webinars (September and October 2026, plus one with Fireworks), a Slack app and a CLI; 34 blog posts including Cars24 and Pydantic case studies.Source
    • HiringFounding GTM, Product Marketing: own positioning, lead launches, create technical content (demos, walkthroughs, videos), "Develop a repeatable launch and distribution motion across product, content, social, community, partnerships, and events", and build partnerships "in the developer and AI ecosystem".Source
  • 19

    Usage-based pricing suits marketplace billing, and Fortune 1000 buyers often prefer to buy through GitHub or their cloud provider to avoid a new vendor process.

    Medium impactHigh effort First result in 2 quarters Account Executive

    First action

    Ask the current enterprise pipeline how they prefer to buy developer tools.

    How to measure it

    Share of new enterprise revenue via marketplaces

    Now
    –
    Target
    30%
    By
    3 quarters

    Steps

    1. 1

      Check demand

      Ask the pipeline how they buy.

      Account Executive 1 week

    2. 2

      GitHub Marketplace

      Usage-based listing.

      GTM Engineer 1 month

    3. 3

      AWS Marketplace

      Seller registration and private offers.

      Account Executive 1 month

    4. 4

      Billing integration

      Usage metering to marketplaces.

      Founders 1 month

    5. 5

      Train the team

      When to offer marketplace buying.

      Account Executive 1 hour

    6. 6

      Report

      Marketplace revenue monthly.

      GTM Engineer monthly

    First result
    2 quarters
    Cost
    Marketplace fees
    Owner
    Account Executive

    Smallest test

    One private offer on AWS for the next large deal.

    Why it works

    List Macroscope on GitHub Marketplace with usage billing and pursue an AWS Marketplace listing with private offers for enterprise deals.

    It shortens procurement for the AE's largest deals and lets teams expand usage without new paperwork.

    Risks and how to handle them

    • Fees reduce margin

      Use private offers and price fees in for large deals.

    Evidence

    • Your websiteUsage-based pricing page: "About $0.95 per review on average, never per seat", "most cost just $0.50"; start with $100 in usage credit; "5 min" to install the GitHub app and get a first review; "20x cheaper than Claude Code reviews, with better precision and recall"; SOC 2 Type II. Quotes from Michael York (CEO, Casa): "Macroscope's commit summaries are the beating heart of our engineering organization", and Marcel Molina (CTO and Cofounder, Particle).Source
    • HiringGTM Engineer: own CRM architecture, lead routing, enrichment, onboarding workflows, reporting and AI-powered automations. Account Executive: full-cycle enterprise sales "from Fortune 1000s to breakout AI startups", with CEOs, CTOs, procurement and legal, and onboarding that shows "measurable business value".Source

Wildcards 3

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

  • 20

    The motion designer is asked for always-on social video and to find stories inside the company. Open source repos using Macroscope generate real, public catches every week.

    Medium impactMedium effort First result in 1 month Motion Designer / Video Produ…

    First action

    Ask the Pydantic maintainers for permission to feature a catch.

    How to measure it

    Installs from bug-of-the-week posts

    Now
    –
    Target
    100
    By
    end of quarter

    Steps

    1. 1

      Find catches

      Weekly list of notable bugs in public repos.

      Technical Customer Success Engineer 1 hour a week

    2. 2

      Get permission

      Maintainer approval to feature it.

      Founding Product Marketing weekly

    3. 3

      Template the video

      Diff, bug, fix in 30 seconds.

      Motion Designer / Video Producer 1 week

    4. 4

      Publish weekly

      X, LinkedIn and YouTube Shorts.

      Motion Designer / Video Producer weekly

    5. 5

      Credit the maintainer

      Tag them and the project.

      Founding Product Marketing weekly

    6. 6

      Measure

      Views and installs per video.

      GTM Engineer monthly

    First result
    1 month
    Cost
    $0
    Owner
    Motion Designer / Video Producer

    Smallest test

    Make one video from a Pydantic catch.

    Why it works

    Each week, pick an interesting bug Macroscope caught in a public repo (with the maintainer's permission), animate the diff and the fix in 30 seconds, and credit the maintainer.

    It is native content for developer audiences, shows the product working on real code, and gives maintainers a reason to share.

    Risks and how to handle them

    • Embarrasses a contributor

      Focus on the bug pattern, not the author, and get approval.

    Builds on

    Evidence

    • HiringMotion Designer / Video Producer: own all visual marketing output; success is "Every feature ships with a launch video" plus "a steady, always-on cadence of social video"; build a motion pipeline using coding agents and code-driven video such as Remotion; works with the founders and a growth marketer.Source
    • Your websiteMacroscope for Open Source: free credits for qualified non-commercial open source projects, starting on the Budget mode; Pydantic is a published case study.Source
    • Your websiteMacroscopeBench (September 22, 2026): a proprietary benchmark of 12,000+ validated bugs from 1,500+ public repositories in 14 languages; the public leaderboard ranks AI models by score, recall, precision, cost and duration (Claude Opus 5.5 at max effort scores 83.9; GPT-6.1 Sol at max effort 78.5 for $1.05). It does not list Macroscope's own product; dataset access is by request.Source
  • 21

    Kayvon Beykpour and Joseph Bernstein co-founded Periscope and Beykpour led consumer product at Twitter. Macroscope has 8 Hacker News mentions, the best at 3 points. The founders' own audience and story are an unused channel.

    High impactLow effort First result in 1 month Founders

    First action

    Each founder writes one post this week with a real number from Macroscope's own engineering.

    How to measure it

    Signups from founder posts

    Now
    –
    Target
    300 a month
    By
    end of quarter

    Steps

    1. 1

      Pick themes

      Software factory lessons, agent mistakes, review numbers.

      Founders 1 hour

    2. 2

      Write twice a week

      Short posts with one real number each.

      Founders 1 hour a week

    3. 3

      Monthly long post

      One essay for Hacker News.

      Founders 1 day a month

    4. 4

      Add video

      Short founder clips.

      Motion Designer / Video Producer weekly

    5. 5

      Track links

      UTM links in every post.

      GTM Engineer 1 hour

    6. 6

      Review monthly

      Which themes drive signups.

      Founding Product Marketing monthly

    First result
    1 month
    Cost
    $0
    Owner
    Founders

    Smallest test

    Two posts each this week.

    Why it works

    Each founder posts twice a week on X and LinkedIn about what they learn running Macroscope as a "software factory": real numbers, what agents got wrong, how they review code. One long post a month goes to Hacker News.

    Founder voices travel further than company accounts with technical buyers, and the BDR and PMM roles both benefit from a buyer who already knows the name.

    Risks and how to handle them

    • Founder time is scarce

      PMM drafts from founder notes; founders edit.

    Evidence

    • Your websiteAbout: founders Kayvon Beykpour and Joseph Bernstein (co-founded Periscope, acquired by Twitter in 2015; Beykpour led consumer product and engineering at Twitter until 2022) and Robert Bishop (co-founded Magic Pony, acquired by Twitter in 2016); investors Lightspeed, Thrive Capital, GV and Adverb.Source
    • programmable.infoMentions: 8 Hacker News mentions, the top one at 3 points; the most recent news headline found for "Macroscope" (October 15, 2026) is from an unrelated finance publication of the same name ("Why the AI investment boom could spark the next financial crisis").Source
    • Your websiteHomepage: "Command your own software factory"; products Murmur (beta: cloud agents that write code and verify it in sandboxes), Code Review and Status; logos for Cars24, Parallel, UnitedMasters, Lightfield, Tilt, Pydantic, Particle, Imprint and Casa; calls to action "Start Free" (GitHub) and "Book Demo". The homepage has no customer numbers or testimonials.Source
  • 22

    The latest news result for "Macroscope" is from an unrelated finance publication. Buyers who hear the name and search for it, or ask an AI assistant, may get the wrong company.

    Medium impactLow effort First result in 1-2 months GTM Engineer

    First action

    Ask three AI assistants "What is Macroscope?" and record the answers.

    How to measure it

    Correct "What is Macroscope?" answers

    Now
    –
    Target
    100% of tracked assistants
    By
    2 months

    Steps

    1. 1

      Check answers

      AI assistants and search for the brand name.

      GTM Engineer 1 hour

    2. 2

      Add schema

      Organization with sameAs for GitHub, X and LinkedIn.

      GTM Engineer 2 hours

    3. 3

      Align descriptions

      Same one-line description on every profile.

      Founding Product Marketing 2 hours

    4. 4

      Strengthen the about page

      Founders, what it does, when founded.

      Founding Product Marketing 1 day

    5. 5

      Earn mentions

      Directories and press using the full description.

      Founding Product Marketing ongoing

    6. 6

      Recheck monthly

      Same questions each month.

      GTM Engineer 30 minutes a month

    First result
    1 to 2 months
    Cost
    $0
    Owner
    GTM Engineer

    Smallest test

    Add Organization schema today.

    Why it works

    Make "Macroscope AI code review" unambiguous: Organization schema with sameAs links, consistent "Macroscope, the AI code reviewer" descriptions across profiles, a Wikipedia-grade about page, and checks of what AI assistants say when asked "what is Macroscope".

    The BDR's emails and founder posts send people to search the name; if search answers with the wrong Macroscope, that interest is lost.

    Risks and how to handle them

    • Little control over news results

      Focus on owned profiles and structured data.

    Evidence

    • programmable.infoMentions: 8 Hacker News mentions, the top one at 3 points; the most recent news headline found for "Macroscope" (October 15, 2026) is from an unrelated finance publication of the same name ("Why the AI investment boom could spark the next financial crisis").Source
    • Your websiteAbout: founders Kayvon Beykpour and Joseph Bernstein (co-founded Periscope, acquired by Twitter in 2015; Beykpour led consumer product and engineering at Twitter until 2022) and Robert Bishop (co-founded Magic Pony, acquired by Twitter in 2016); investors Lightspeed, Thrive Capital, GV and Adverb.Source
    • Your websiteHomepage: "Command your own software factory"; products Murmur (beta: cloud agents that write code and verify it in sandboxes), Code Review and Status; logos for Cars24, Parallel, UnitedMasters, Lightfield, Tilt, Pydantic, Particle, Imprint and Casa; calls to action "Start Free" (GitHub) and "Book Demo". The homepage has no customer numbers or testimonials.Source

03

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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on October 18, 2026, and cites them throughout. Macroscope did not commission, review or endorse it, and Programmable is not affiliated with Macroscope. 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 Macroscope runs its business.

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

30/60/90 roadmap

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

  1. Days 1 to 308 ideas

    Route large-org installs, put proof on the homepage, make the benchmark subscribable, prepare the model-launch play, ship the calculator and the first-week report, and start launch videos and signal outbound.

  2. Days 31 to 608 ideas

    Build the enterprise motion: open source repos, Status for leaders, the procurement pack, customer stories, Murmur partners and the expansion play, plus the name and bug-of-the-week tests.

  3. Days 61 to 906 ideas

    Partnerships and reach: co-hosted webinars and founder-led distribution, then commit to platform support, the open benchmark, agent-workflow distribution and marketplaces.

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 commit summaries leaders read every week. The most cited problem: senior engineers stuck reviewing PRs.

  • Like "a tech lead who understands every project" (Particle)
  • Noisy review bots
  • In their words: “software factory”

Market

Competitive landscape

4 competitors compared: CodeRabbit, Greptile, Cursor Bugbot and GitHub Copilot review and Graphite Diamond.

  • Gap to exploit: A neutral benchmark with cost per bug caught
  • CodeRabbit: Seat-based cost for large teams
  • Greptile: Per-seat plus per-review pricing; GitHub and GitLab only

Hiring signals

Macroscope has 9 open roles, and all four GTM roles are founding hires, which says enterprise sales is being built on top of an existing product-led motion.

  • Founding Business Development Representative: First enterprise outbound: GitHub signals, hiring and funding, and qualifying PLG inbound by org size…
  • Founding GTM, Product Marketing: Positioning, launches, technical content and partnerships in the developer and AI ecosystem. Ideas 2, 3, 9, 11, 13…
  • Motion Designer / Video Producer: A launch video for every feature and always-on social video from a code-driven pipeline. Ideas 4, 7, 20.

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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