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Generated Nov 10, 2026
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growth playbook · Nov 10, 2026

replicas.dev (opens in a new tab)

Replicas growth playbook

Diagnosis

Replicas is a two-person YC company with a $4M seed, six figures of ARR and usage that grew from 1 million agent minutes in May to nearly 7 million by October 2026. It already publishes more comparison and alternatives content than most rivals, and it is hiring a Founding Growth lead to own the funnel from signup to power user, search and AI discovery, X launches and SF events.

The gaps are in the money moments: the pricing page asks "What does a typical task cost?" and leaves it unanswered, along with six other FAQ answers, while customers' own published numbers show a typical job costs cents to about a dollar of compute.

This playbook answers the cost question first, fills the pricing FAQ, catches Conductor Cloud users before its shutdown, aligns the usage numbers and fixes link previews; then builds a first-PR activation path, usage-led upgrades, Jira and Bitbucket triggers, a public changelog written by its own agents, templates, events and referrals; and bets on a cost-per-merged-PR report and a cloud marketplace listing.

Growth Score

7/10

Biggest Opportunity

Turn per-minute pricing into a per-task answer, using the usage data Replicas already publishes, so engineering leaders and the AI assistants they ask can see that a cloud agent task costs cents to about a dollar of compute.

Biggest Risk

Devin, Tembo and the agent vendors' own cloud products compete for the same teams with longer feature lists (Jira, Teams, Bitbucket triggers) and SOC 2 Type II today, while a two-person team has to ship product, sell and grow at once.

01

Start here

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

  1. 1

    Answer "What does a typical task cost?" on the pricing page with customers' own published numbers

    Pull median minutes per task by workspace size from the analytics for the last 30 days, and check them against the three published customer figures.

    High impact First result in 2 weeks
  2. 2

    Fill the six blank pricing FAQ answers and put the $100 free usage on the plan cards

    Paste the existing answers from the vs pages and /llm-info into the six FAQ entries.

    High impact First result in 2 weeks
  3. 3

    A concierge move for Conductor Cloud teams before their data is deleted on November 20

    Add a Conductor Cloud banner to the homepage linking to the migration guide and a booking link.

    High impact First result in 1 week

02

Your idea portfolio

23 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.

  • 6 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 · 9Fill-ins · 8Reconsider · 3
Effort →

Showing 23 of 23 ideas

This week 5

Quick wins with a clear first action.

  • 01

    The pricing page lists "What does a typical task cost?" as a FAQ, but the page has no answer under it (checked three times on November 10, 2026), and the "For AI assistants" page and the Replicas vs Devin page give no per-task cost either. Buyers see only per-minute VM rates ($0.004 to $0.024 a minute). Yet Replicas already publishes the numbers to answer it: Parrot ran 23.5k jobs in 270k+ minutes in July (about 11.5 minutes a job), Moda 4.7k jobs in 500k+ minutes (about 106 minutes) and Knowunity 2.8k agents in 400,000+ minutes on 4 vCPU workspaces (about 143 minutes). At the published included rates that is roughly $0.05 to $0.09 of compute for a short automated job and about $1.14 for a long Knowunity-style task on Large. The answer to the question every buyer asks is "cents to about a dollar", and the page says nothing.

    High impactLow effort First result in 2 weeks Founding Growth

    First action

    Pull median minutes per task by workspace size from the analytics for the last 30 days, and check them against the three published customer figures.

    How to measure it

    Pricing-to-signup conversion

    Now
    –
    Target
    +20%
    By
    60 days

    Steps

    1. 1

      Pull the medians

      Median and 90th percentile minutes per task by size and trigger (Slack, Linear, automation) from the last 30 days.

      Co-Founder & CTO 1 day

    2. 2

      Write the answer

      Three task types, minutes, compute cost on Small and Large, and how many fit in $50 and in the $100 free usage; one line on model costs.

      Founding Growth 1 day

    3. 3

      Add the table

      Place it above the FAQ and render the answer in the server HTML, not only on click.

      Founding Engineer 1 day

    4. 4

      Build the calculator

      Tasks a week, minutes a task and size; output monthly compute and the recommended plan or Team step.

      Founding Engineer 3 days

    5. 5

      Copy it everywhere

      Same answer in /llm-info, the vs pages and the docs billing page.

      Founding Growth 1 day

    6. 6

      Launch it on X

      A post with the per-task table and the customer data behind it.

      Co-Founder & CEO 1 hour

    7. 7

      Measure

      Pricing-to-signup rate and demo calls that raise cost, before and after.

      Founding Growth monthly

    First result
    2 weeks
    Cost
    About a week of staff time
    Owner
    Founding Growth

    Smallest test

    Add a three-row table under the FAQ question today and compare pricing-to-signup for two weeks.

    Why it works

    Write the answer in the FAQ and as a short table above it: three task types (a short automated job, a typical ticket, a long multi-repo task), their minutes from customer data, the compute cost on Small and Large, and how many of each the $50 Developer plan and the $100 free usage cover (the $100 buys 12,500 Large minutes, about 1,000 Parrot-length jobs or 85 Knowunity-length tasks). State clearly that model costs are separate and billed by the customer's own plan. Then add a three-input calculator (tasks a week, minutes a task, workspace size) that recommends Developer or a Team step, and copy the same answer into /llm-info and the vs pages so assistants and coding agents quote it.

    Usage pricing stalls deals when buyers cannot translate it into a budget; a per-task figure in cents removes the biggest objection to trying cloud agents, and it contrasts with rivals whose quota and credit units are harder to compare. It also gives the Founding Growth hire an answer AI assistants can cite when asked what cloud coding agents cost.

    Ready to use

    CopyDraft FAQ answer: What does a typical task cost?

    Most tasks cost cents of compute. Replicas bills per workspace minute while the workspace is awake; model usage stays on your own plan or key.
    
    From customer usage in July 2026:
    - Short automated job (about 11 minutes, like Parrot's review jobs): about $0.05 on Small, $0.09 on Large
    - Typical ticket (about 100 minutes, like Moda's tasks): about $0.40 on Small, $0.85 on Large
    - Long multi-repo task (about 140 minutes, like Knowunity's on Large): about $1.15
    
    The $50 Developer plan covers 12,500 Small or 6,250 Large minutes. Your $100 of free usage covers about 1,000 short jobs or 85 long tasks on Large. Sleeping and archived workspaces cost nothing.

    Risks and how to handle them

    • Buyers anchor on the lowest figure and feel misled by idle awake time

      Show median and 90th percentile, and explain that sleeping workspaces cost nothing.

    • Model costs dwarf compute and the table looks incomplete

      Say plainly that model usage stays on the customer's own plan, and link the existing model pricing explainers.

    Evidence

    • Your websitePricing page (checked November 10, 2026): Developer "$50/mo" with $50 of usage included, Team "$200+/mo" in $100 steps, Enterprise custom; per-minute rates Small (2 vCPU, 8 GB) $0.004 included and $0.006 overage, Large (4 vCPU, 16 GB) $0.008 and $0.012, Ultra (8 vCPU, 32 GB) $0.016 and $0.024; "Model costs are not included". Eight FAQ questions, but only the first has an answer in the page: "What does a typical task cost?", "Is there a free trial?", "What counts as usage?", "What happens if we use more than our plan includes?", the per-seat question and the Devin and Cursor comparisons have no answer text (checked three times). No calculator; "$100 of free usage, no card required" appears only in the closing call to action.Source
    • Your website"For AI assistants" page (/llm-info): a pricing summary but no typical cost or minutes per task; customer usage for July: Parrot "23.5k automated jobs" and "270k+ minutes", Moda "4.7k jobs" and "500k+ minutes".Source
    • Your websiteKnowunity story: an AI learning platform for "more than 30 million students"; 30+ engineers on Replicas in July; a target of 25% of PRs and MRs from agents in month one, now 50%; "2×" engineering velocity; bug-fixing time down two-thirds; "2.8k" cloud agents and "400,000+ minutes" in July on 4 vCPU, 16 GB workspaces; daily analytics of usage, compute, token spend and PR output by source and engineer.Source
    • Your websiteReplicas vs Devin (updated October 25, 2026): Jira works "only as an agent tool, not a trigger" while Devin starts work from Jira and Teams; Devin has SOC 2 Type II "since September 2024"; the page says Devin may fit better for Jira or Azure DevOps triggers or "SOC 2 Type II today"; it gives no example cost per task for Replicas.Source
    • HiringFounding Growth (Y Combinator jobs, San Francisco, $150K-$250K, 0.5-2% equity): owns the funnel from "signup to onboarding to power user"; SEO, GEO, comparison pages and docs so AI assistants and coding agents recommend Replicas; X is "the biggest growth channel" with constant launches; in-person events for founders in SF; the company reports "six figures in ARR", tens of thousands of PRs and millions of usage minutes a month, and aims for eight figures; team of 2.Source
  • 02

    Besides the typical-cost question, six more pricing FAQ questions have no answer in the page: free trial, what counts as usage, per-seat pricing, overage, and the Devin and Cursor comparisons. The best offer Replicas has, "$100 of free usage, no card required", is on the homepage, every blog post and the vs pages, but on the pricing page it appears only in the closing call to action, not on the plan cards where buyers decide. The Enterprise page's pricing FAQ is blank too.

    High impactLow effort First result in 2 weeks Founding Growth

    First action

    Paste the existing answers from the vs pages and /llm-info into the six FAQ entries.

    How to measure it

    Signups from the pricing page

    Now
    –
    Target
    +15%
    By
    45 days

    Steps

    1. 1

      Collect answers

      Reuse wording from /llm-info and the vs pages.

      Founding Growth half a day

    2. 2

      Write the rest

      Overage, per-seat and what counts as usage.

      Co-Founder & CEO half a day

    3. 3

      Render in HTML

      Answers in the server-rendered page, plus FAQ structured data.

      Founding Engineer half a day

    4. 4

      Move the offer up

      $100 free usage under each self-serve plan price.

      Founding Engineer 1 hour

    5. 5

      Fix Enterprise

      Answer the Enterprise pricing and SOC 2 FAQs.

      Co-Founder & CEO 2 hours

    6. 6

      Measure

      Signups from /pricing before and after.

      Founding Growth monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Founding Growth

    Smallest test

    Answer the free-trial question and add the $100 line to the plan cards today.

    Why it works

    Write a two- to four-sentence answer for every question, using facts already on the site (no per-seat fee, per-minute billing while awake, overage rates, Devin's per-member and per-seat plans, model costs on the customer's own plan). Render answers in the HTML, add FAQ structured data, and add "Start with $100 of free usage, no card" under the Developer and Team prices. Fill the Enterprise FAQ the same way.

    Unanswered questions on a pricing page read as hidden costs, and the free usage is the strongest reason to try today. Answers in the HTML are also what search engines and AI assistants can quote.

    Risks and how to handle them

    • Competitor pricing in answers goes stale

      Date the comparison answers and link the dated vs pages.

    Evidence

    • Your websitePricing page (checked November 10, 2026): Developer "$50/mo" with $50 of usage included, Team "$200+/mo" in $100 steps, Enterprise custom; per-minute rates Small (2 vCPU, 8 GB) $0.004 included and $0.006 overage, Large (4 vCPU, 16 GB) $0.008 and $0.012, Ultra (8 vCPU, 32 GB) $0.016 and $0.024; "Model costs are not included". Eight FAQ questions, but only the first has an answer in the page: "What does a typical task cost?", "Is there a free trial?", "What counts as usage?", "What happens if we use more than our plan includes?", the per-seat question and the Devin and Cursor comparisons have no answer text (checked three times). No calculator; "$100 of free usage, no card required" appears only in the closing call to action.Source
    • Your websiteEnterprise page: "8M+ minutes of agent runtime" and "290k+ agents run"; Replicas cloud, dedicated single-tenant or self-hosted deployment; SCIM, audit log, DPA and HIPAA BAA; SOC 2 "Type I" with "Type II in progress"; the pricing FAQ has no visible answer.Source
    • Your websiteReplicas vs Devin (updated October 25, 2026): Jira works "only as an agent tool, not a trigger" while Devin starts work from Jira and Teams; Devin has SOC 2 Type II "since September 2024"; the page says Devin may fit better for Jira or Azure DevOps triggers or "SOC 2 Type II today"; it gives no example cost per task for Replicas.Source
  • 03

    Conductor joined Meta; its cloud service goes read-only on November 13 and shuts down on November 20, when deletion of cloud user data begins. Replicas published a migration guide and agent migration prompt on November 4, and already has a Conductor alternatives page. But a guide is passive, and teams have days, not weeks, to choose.

    High impactLow effort First result in 1 week Co Founder & CEO

    First action

    Add a Conductor Cloud banner to the homepage linking to the migration guide and a booking link.

    How to measure it

    Conductor Cloud migrations

    Now
    –
    Target
    40 teams
    By
    December 15, 2026

    Steps

    1. 1

      Banner

      Homepage and pricing banner to the migration guide.

      Founding Engineer 2 hours

    2. 2

      Open slots

      Twenty 30-minute migration calls.

      Co-Founder & CEO 1 hour

    3. 3

      Set the offer

      Extra usage credits for teams that move before the shutdown.

      Co-Founder & CEO 1 hour

    4. 4

      Post daily

      X countdown with export steps and one migration story.

      Co-Founder & CEO daily for 10 days

    5. 5

      Run migrations

      Use the migration prompt live on the call.

      Co-Founder & CTO ongoing

    6. 6

      Follow up

      After November 20, a note to everyone who booked but did not finish.

      Co-Founder & CEO 1 day

    First result
    1 week
    Cost
    Founder time and usage credits
    Owner
    Co Founder & CEO

    Smallest test

    Pin one X post with the guide and five booking slots today.

    Why it works

    Run a time-boxed concierge: a homepage and X banner for Conductor Cloud users, 20 founder-led 30-minute migration slots, migration done for them with the existing prompt and CLI, and extra usage credits for teams who move before the shutdown. Post daily on X with a countdown and one migrated team's before-and-after, and follow up after November 20 with teams who exported data but have not moved.

    Displaced users of a closing product are the highest-intent audience in the category, and the concepts map almost one to one (Cloud Computer to environment, routines to automations).

    Risks and how to handle them

    • Appearing to celebrate a rival's shutdown

      Keep the tone practical: export steps first, Replicas second.

    • Users expect chat history import

      Say upfront that chat history cannot be imported, as the guide does.

    Evidence

    • PressInfoWorld: Meta acquired Conductor; its cloud service becomes "read-only" on November 13 and shuts down on November 20, 2026, when deletion of cloud user data begins; the local app gets new models and critical fixes until early 2027, then winds down.Source
    • Your websiteBlog "Migrate from Conductor Cloud" (November 4, 2026): maps Conductor concepts to Replicas (Cloud Computer to environment, install script to warm hook, routines to automations), offers a migration prompt that recreates the setup with the Replicas CLI, and help by email to the founders; Replicas "can't import chat history".Source
    • Your websiteSitemap (120 URLs, checked November 10, 2026): 61 resource pages, including 16 "alternatives" pages (among them Conductor, Devin, Factory and Codex), 8 "vs" pages and pricing explainers for three rival tools; 28 blog posts, including guides on using PostHog, ClickHouse, Mercury, Vanta and Context Dev with Replicas; 5 customer stories; 5 integration pages; /yc and /trading pages; no changelog, templates, referral or partner page.Source
  • 04

    The seed post says usage was "nearing 7 million" minutes and agents have run in "over 1 million workspaces"; the Enterprise page says "8M+ minutes" and "290k+ agents run". A buyer or an AI assistant reading both sees 1 million workspaces next to 290k agents, with no dates. Growth from 1 million minutes in May to nearly 7 million is a strong story told inconsistently.

    Medium impactLow effort First result in 2 weeks Founding Growth

    First action

    Write one-line definitions for minutes, workspaces and agents, and check which number each page uses.

    How to measure it

    Pages on the live counter

    Now
    –
    Target
    All pages with usage claims
    By
    30 days

    Steps

    1. 1

      Define metrics

      Minutes, workspaces, agents and PRs, each in one sentence.

      Co-Founder & CTO 1 hour

    2. 2

      Audit pages

      Every page that states a usage number.

      Founding Growth half a day

    3. 3

      Build the counter

      A cached component fed by the analytics, with an as-of date.

      Founding Engineer 2 days

    4. 4

      Replace numbers

      Homepage, Enterprise, /llm-info, /yc.

      Founding Engineer half a day

    5. 5

      Monthly post

      Milestone post on X with the chart.

      Co-Founder & CEO monthly

    6. 6

      Review

      Check the counter and definitions each quarter.

      Founding Growth quarterly

    First result
    2 weeks
    Cost
    $0
    Owner
    Founding Growth

    Smallest test

    Make the Enterprise page and seed post use the same dated figures this week.

    Why it works

    Define each metric once (agent minutes, workspaces, agents, PRs opened), pull them from the analytics into one live counter component, and use it on the homepage, Enterprise page, /llm-info and the YC page with an "as of" date. Post the monthly milestone on X.

    Consistent, dated numbers read as trustworthy, and a live counter turns growth into a recurring launch moment for the X-led channel.

    Risks and how to handle them

    • Showing the counter invites scrutiny if growth slows

      Show cumulative totals and pick metrics that reflect real work, such as PRs opened.

    Evidence

    • Your websiteSeed announcement (October 13, 2026): $4M from Y Combinator, Flex Capital, Founders' Co-op, Pioneer Fund and others; usage passed 1 million agent minutes in May, 2 million in July and 5 million in September, and was "nearing 7 million" three weeks later; agents have run in "over 1 million workspaces"; Mintlify and Knowunity named as customers.Source
    • Your websiteEnterprise page: "8M+ minutes of agent runtime" and "290k+ agents run"; Replicas cloud, dedicated single-tenant or self-hosted deployment; SCIM, audit log, DPA and HIPAA BAA; SOC 2 "Type I" with "Type II in progress"; the pricing FAQ has no visible answer.Source
    • HiringFounding Growth (Y Combinator jobs, San Francisco, $150K-$250K, 0.5-2% equity): owns the funnel from "signup to onboarding to power user"; SEO, GEO, comparison pages and docs so AI assistants and coding agents recommend Replicas; X is "the biggest growth channel" with constant launches; in-person events for founders in SF; the company reports "six figures in ARR", tens of thousands of PRs and millions of usage minutes a month, and aims for eight figures; team of 2.Source
  • 05

    X is Replicas' "biggest growth channel" and the company launches constantly, but the homepage has no social share image, so a shared replicas.dev link shows as a bare text card on X, LinkedIn and Slack. Every launch post, customer story and comparison page is competing in feeds without a picture.

    Medium impactLow effort First result in 1 week Founding Engineer

    First action

    Add a default share image and title tags to the homepage.

    How to measure it

    Referral visits from X, LinkedIn and Slack

    Now
    –
    Target
    +20%
    By
    60 days

    Steps

    1. 1

      Default image

      Homepage share image and tags.

      Founding Engineer 1 hour

    2. 2

      Template images

      Generated images for blog, customers, resources and pricing.

      Founding Engineer 1 day

    3. 3

      Use the brand

      Apply the refreshed brand from the brand page.

      Founding Growth half a day

    4. 4

      Validate

      Check previews on X, LinkedIn and Slack.

      Founding Engineer 2 hours

    5. 5

      Track

      UTM tags on launch posts; compare referral visits.

      Founding Growth monthly

    6. 6

      Add to checklist

      Share image check in the launch checklist.

      Founding Growth 1 hour

    First result
    1 week
    Cost
    $0
    Owner
    Founding Engineer

    Smallest test

    Ship the homepage image and compare the next launch post with the last one.

    Why it works

    Generate share images automatically for every page type: homepage, blog posts (title plus date), customer stories (headline metric and logo), vs and alternatives pages, and the pricing page (the per-task table). Validate with each network's card preview and keep a fallback image for any page without one.

    Link cards with images take far more space and attention in feeds and Slack unfurls, which is where engineering teams share tools with each other.

    Risks and how to handle them

    • Generic images get ignored

      Put the page's key number in the image.

    Evidence

    • Researchprogrammable.info research (November 10, 2026): real visitors pass Core Web Vitals (LCP p75 1.7 s, 19% faster than before; INP 79 ms; CLS 0.01); the homepage has no social share image; the Show HN post (November 2025) got 1 point and no comments; the iOS app has 1 rating; the GitHub organisation has 2 public repositories and 3 followers; no public changelog or roadmap was found.Source
    • HiringFounding Growth (Y Combinator jobs, San Francisco, $150K-$250K, 0.5-2% equity): owns the funnel from "signup to onboarding to power user"; SEO, GEO, comparison pages and docs so AI assistants and coding agents recommend Replicas; X is "the biggest growth channel" with constant launches; in-person events for founders in SF; the company reports "six figures in ARR", tens of thousands of PRs and millions of usage minutes a month, and aims for eight figures; team of 2.Source

This quarter 15

The core plays for the next three months.

  • 06

    The Founding Growth role owns "signup to onboarding to power user". The quickstart takes "about 5 minutes" and ends with "describe a small task", leaving a new user facing a blank prompt with $100 of credit. Knowunity set a target of 25% of PRs from agents in month one; individual signups have no such target or first win.

    High impactMedium effort First result in 1 month Founding Growth

    First action

    Instrument the six funnel events and look at last month's drop-off.

    How to measure it

    7-day first-merge rate

    Now
    –
    Target
    40% of signups
    By
    90 days

    Steps

    1. 1

      Instrument

      Six funnel events from signup to second-week use.

      Founding Engineer 3 days

    2. 2

      Find the drop

      Which step loses the most users.

      Founding Growth 1 day

    3. 3

      Starter tasks

      Three repo-specific suggestions after repos connect.

      Founding Engineer 2 weeks

    4. 4

      Show the proof

      PR link and recording on the first result screen.

      Founding Engineer 3 days

    5. 5

      Nudges

      Email at each drop-off with the next step.

      Founding Growth 1 week

    6. 6

      Founder call

      Offer a call to teams that connect five or more repos.

      Co-Founder & CEO ongoing

    7. 7

      Review weekly

      Funnel review with one change a week.

      Founding Growth weekly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Founding Growth

    Smallest test

    Offer three hand-written starter prompts in the empty task box for two weeks.

    Why it works

    After repos connect, suggest three starter tasks generated from the repository itself (a failing test, a stale dependency, a missing README section or open issues labelled good first issue), run one by default, and show the PR with its video proof. Track the funnel: signup, agent connected, repo connected, first workspace, first PR, first merge, second week of use. Email or Slack a nudge at each drop-off.

    Usage-based products grow when users reach a real result fast; a merged PR in the first session proves the whole loop and starts the habit.

    Risks and how to handle them

    • Auto-run tasks open unwanted PRs

      Ask before opening the PR and label it as a starter task.

    Evidence

    • Your websiteDocs quickstart ("about 5 minutes"): connect a coding agent subscription or API key with the CLI, connect GitHub or GitLab, add repositories (an environment is created for each), optionally connect Slack or Linear, then "describe a small task" to start the first workspace.Source
    • HiringFounding Growth (Y Combinator jobs, San Francisco, $150K-$250K, 0.5-2% equity): owns the funnel from "signup to onboarding to power user"; SEO, GEO, comparison pages and docs so AI assistants and coding agents recommend Replicas; X is "the biggest growth channel" with constant launches; in-person events for founders in SF; the company reports "six figures in ARR", tens of thousands of PRs and millions of usage minutes a month, and aims for eight figures; team of 2.Source
    • Your websiteKnowunity story: an AI learning platform for "more than 30 million students"; 30+ engineers on Replicas in July; a target of 25% of PRs and MRs from agents in month one, now 50%; "2×" engineering velocity; bug-fixing time down two-thirds; "2.8k" cloud agents and "400,000+ minutes" in July on 4 vCPU, 16 GB workspaces; daily analytics of usage, compute, token spend and PR output by source and engineer.Source
  • 07

    Team pricing rises in $100 steps with matching included usage, and overage costs 50% more than the included rate ($0.006 against $0.004 a minute on Small). A growing team that runs into overage pays more than if it had stepped up, and nothing on the site says when to step up.

    High impactMedium effort First result in 1 month Co Founder & CEO

    First action

    List orgs that paid overage last month and what the next step would have cost.

    How to measure it

    Net revenue retention

    Now
    –
    Target
    130%+
    By
    2 quarters

    Steps

    1. 1

      Find overage

      Orgs that paid overage in the last two months.

      Co-Founder & CTO 1 day

    2. 2

      Write the rule

      80% threshold and the step-up math.

      Co-Founder & CEO 1 day

    3. 3

      In-app prompt

      Usage bar with projection and upgrade button.

      Founding Engineer 1 week

    4. 4

      Email

      Same message to billing admins.

      Founding Growth 2 days

    5. 5

      Developer to Team

      Prompt multi-member Developer orgs.

      Founding Growth 2 days

    6. 6

      Report

      Monthly step-ups and expansion revenue.

      Co-Founder & CEO monthly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Co Founder & CEO

    Smallest test

    Email last month's overage payers with their step-up math.

    Why it works

    When a workspace org reaches 80% of included usage, show in-app and by email: minutes used, projected month-end, cost with overage versus the next $100 step, and a one-click upgrade. For Developer accounts with several members, suggest Team for the shared Slack channel and static egress IP. Report monthly expansion revenue from these prompts.

    Usage-based revenue grows with customers' agent adoption; showing the cheaper option builds trust and moves teams up before a surprise bill.

    Risks and how to handle them

    • Lower short-term overage revenue

      Committed steps are steadier revenue and reduce churn from bill shock.

    Builds on

    Evidence

    • Your websitePricing page (checked November 10, 2026): Developer "$50/mo" with $50 of usage included, Team "$200+/mo" in $100 steps, Enterprise custom; per-minute rates Small (2 vCPU, 8 GB) $0.004 included and $0.006 overage, Large (4 vCPU, 16 GB) $0.008 and $0.012, Ultra (8 vCPU, 32 GB) $0.016 and $0.024; "Model costs are not included". Eight FAQ questions, but only the first has an answer in the page: "What does a typical task cost?", "Is there a free trial?", "What counts as usage?", "What happens if we use more than our plan includes?", the per-seat question and the Devin and Cursor comparisons have no answer text (checked three times). No calculator; "$100 of free usage, no card required" appears only in the closing call to action.Source
    • Your websiteSupport page: email to the founders' address with screenshots; no stated response time, community or in-app chat; a shared Slack support channel comes only with Team and Enterprise plans.Source
  • 08

    Replicas' own comparison page says Jira works "only as an agent tool, not a trigger" and that Devin may fit better for teams needing Jira triggers. Tembo triggers from Bitbucket, Jira and PagerDuty; Devin from Jira and Teams. Replicas' integrations page lists Slack, Linear, GitHub, GitLab and Sentry, with no way to request another.

    High impactMedium effort First result in 1 quarter Founding Engineer

    First action

    Count demo calls and lost deals in the last quarter that asked for Jira or Bitbucket.

    How to measure it

    Active Jira-trigger orgs

    Now
    –
    Target
    25
    By
    2 quarters

    Steps

    1. 1

      Size demand

      Jira and Bitbucket mentions in calls and signups.

      Co-Founder & CEO 1 day

    2. 2

      Build Jira

      Assign to Replicas, PR back, status updated.

      Founding Engineer 4 weeks

    3. 3

      Integration page

      /integrations/jira with setup and a video.

      Founding Growth 3 days

    4. 4

      Request form

      On the integrations page.

      Founding Growth 1 day

    5. 5

      Build Bitbucket

      Repos and PR mentions.

      Founding Engineer 4 weeks

    6. 6

      Update comparisons

      Devin and alternatives pages.

      Founding Growth 1 day

    7. 7

      Launch

      Launch post on X for each integration.

      Co-Founder & CEO 1 day each

    First result
    1 quarter
    Cost
    About two months of engineering
    Owner
    Founding Engineer

    Smallest test

    Add the request form and see how many teams ask for Jira in a month.

    Why it works

    Build Jira as a trigger (assign an issue to Replicas, get a PR and a status change, as with Linear), then Bitbucket repos. Add a "request an integration" form on the integrations page to rank what comes next (PagerDuty, Teams). Update the Devin and alternatives pages when each ships.

    Larger engineering teams often run on Jira; a missing trigger removes Replicas from their shortlists before price is even compared.

    Risks and how to handle them

    • Engineering time pulled from core platform

      Ship Jira first and build Bitbucket only if requests justify it.

    Evidence

    • Your websiteReplicas vs Devin (updated October 25, 2026): Jira works "only as an agent tool, not a trigger" while Devin starts work from Jira and Teams; Devin has SOC 2 Type II "since September 2024"; the page says Devin may fit better for Jira or Azure DevOps triggers or "SOC 2 Type II today"; it gives no example cost per task for Replicas.Source
    • Your websiteIntegrations page: Slack, Linear, GitHub, GitLab and Sentry, plus the app, API and CLI; no Jira, Bitbucket, PagerDuty or Microsoft Teams, and no way to request an integration.Source
    • Competitor researchTembo homepage: "Cloud platform for running AI agents in complete, shareable software environments"; triggers from GitHub, GitLab, Bitbucket, Linear, Jira, Sentry, PagerDuty, Slack and webhooks; public preview links; SOC 2 Type II and self-hosted or VPC deployment.Source
  • 09

    Replicas runs a cron that writes a "weekly changelog" inside its own software factory, yet the site has no changelog page; product news is scattered across 28 blog posts mixed with guides and announcements. Buyers and AI assistants cannot see how fast the product ships, which is the strongest proof a two-person team has.

    Medium impactLow effort First result in 2 weeks Founding Growth

    First action

    Run the changelog automation for the last four weeks and publish the output.

    How to measure it

    Weekly changelog entries published

    Now
    –
    Target
    12 in a row
    By
    1 quarter

    Steps

    1. 1

      Backfill

      Four weeks of entries from merged PRs.

      Co-Founder & CTO 1 day

    2. 2

      Build the page

      /changelog with RSS and anchors.

      Founding Engineer 2 days

    3. 3

      Wire the cron

      Automation drafts the entry for review.

      Founding Engineer 1 day

    4. 4

      Label it

      "Written by a Replicas automation" with a link to how.

      Founding Growth 1 hour

    5. 5

      Link it

      Footer, docs and in-app "What's new".

      Founding Engineer half a day

    6. 6

      Weekly post

      Highlights on X.

      Co-Founder & CEO weekly

    First result
    2 weeks
    Cost
    $0
    Owner
    Founding Growth

    Smallest test

    Publish one agent-written entry this week and post it.

    Why it works

    Point the existing changelog automation at a public /changelog page with an RSS feed: one entry a week, written by an agent and checked by a founder, each line linking to docs. Label it "written by a Replicas automation" and link the software-factory post. Post the weekly highlights on X.

    A visible weekly cadence reassures buyers worried about a young vendor, and an agent-written changelog demonstrates the product doing real work.

    Risks and how to handle them

    • Agent-written entries leak internal details

      Founder review before each entry publishes.

    Evidence

    • Your websiteBlog "How We Run Our Software Factory" (October 22, 2026): a #triage Slack channel where an agent turns bugs into Linear tickets; crons for Postgres query tuning, Linear cleanup, a "weekly changelog", stale PR cleanup and a code simplification audit; an agent runs the CRM; the team reviews video or screenshot proof instead of diffs; an autofix agent makes CI green before the PR opens.Source
    • Your websiteSitemap (120 URLs, checked November 10, 2026): 61 resource pages, including 16 "alternatives" pages (among them Conductor, Devin, Factory and Codex), 8 "vs" pages and pricing explainers for three rival tools; 28 blog posts, including guides on using PostHog, ClickHouse, Mercury, Vanta and Context Dev with Replicas; 5 customer stories; 5 integration pages; /yc and /trading pages; no changelog, templates, referral or partner page.Source
    • Researchprogrammable.info research (November 10, 2026): real visitors pass Core Web Vitals (LCP p75 1.7 s, 19% faster than before; INP 79 ms; CLS 0.01); the homepage has no social share image; the Show HN post (November 2025) got 1 point and no comments; the iOS app has 1 rating; the GitHub organisation has 2 public repositories and 3 followers; no public changelog or roadmap was found.Source
  • 10

    Replicas' blog describes the automations that run its own company (Postgres query tuning, Linear cleanup, stale PR cleanup, a code simplification audit, Sentry-triggered fixes) and Parrot ran 23.5k automated jobs in a month. But the site has no template gallery; every new team starts automations from a blank prompt.

    High impactMedium effort First result in 1 month Founding Engineer

    First action

    Export the prompts and schedules of Replicas' own five crons.

    How to measure it

    Share of paying orgs with 1+ automation

    Now
    –
    Target
    60%
    By
    2 quarters

    Steps

    1. 1

      Export own crons

      The five internal automations as templates.

      Co-Founder & CTO 2 days

    2. 2

      Add five more

      From the most common customer automations.

      Founding Engineer 1 week

    3. 3

      One-click install

      Template to automation in the app.

      Founding Engineer 2 weeks

    4. 4

      Public pages

      One page per template with cost per run.

      Founding Growth 1 week

    5. 5

      Onboarding hook

      Suggest a template after the first merged PR.

      Founding Engineer 2 days

    6. 6

      Measure

      Installs, runs and minutes per template.

      Founding Growth monthly

    First result
    1 month
    Cost
    About three weeks of engineering
    Owner
    Founding Engineer

    Smallest test

    Publish the five internal crons as copyable prompts on one docs page.

    Why it works

    Ship a gallery of ten automation templates, each with the prompt, trigger, schedule, workspace size, expected minutes and cost per run: daily query tuning, stale PR cleanup, failing CI fix, Sentry issue to PR, weekly changelog, dependency bumps, PR review, flaky test hunt, docs drift check, Linear triage. One click installs it into the user's environment. Each template gets a public page that ranks for its task.

    Automations create recurring, predictable usage without anyone typing a prompt, which is how a usage-based product grows per account; public template pages also capture searches for each task.

    Risks and how to handle them

    • Automations open noisy PRs and teams switch them off

      Default to weekly schedules and a cap on open PRs per template.

    Builds on

    Evidence

    • Your websiteBlog "How We Run Our Software Factory" (October 22, 2026): a #triage Slack channel where an agent turns bugs into Linear tickets; crons for Postgres query tuning, Linear cleanup, a "weekly changelog", stale PR cleanup and a code simplification audit; an agent runs the CRM; the team reviews video or screenshot proof instead of diffs; an autofix agent makes CI green before the PR opens.Source
    • Your website"For AI assistants" page (/llm-info): a pricing summary but no typical cost or minutes per task; customer usage for July: Parrot "23.5k automated jobs" and "270k+ minutes", Moda "4.7k jobs" and "500k+ minutes".Source
    • Your websiteSitemap (120 URLs, checked November 10, 2026): 61 resource pages, including 16 "alternatives" pages (among them Conductor, Devin, Factory and Codex), 8 "vs" pages and pricing explainers for three rival tools; 28 blog posts, including guides on using PostHog, ClickHouse, Mercury, Vanta and Context Dev with Replicas; 5 customer stories; 5 integration pages; /yc and /trading pages; no changelog, templates, referral or partner page.Source
  • 11

    The Founding Growth role includes running in-person events for founders and the ideal customer in San Francisco, and Replicas is an in-person SF team. A talk-and-pizza meetup is easy to forget; an evening where each team's real backlog tickets come back as PRs is a product demo they take home.

    Medium impactMedium effort First result in 1 month Founding Growth

    First action

    Book a venue and invite the current YC batch for the first night.

    How to measure it

    Event-sourced paying orgs

    Now
    –
    Target
    10 per quarter
    By
    1 quarter

    Steps

    1. 1

      Format

      Three tickets per team, run live, 90 minutes.

      Founding Growth 1 day

    2. 2

      Invite

      YC batch, angels' portfolios and customers.

      Co-Founder & CEO 1 week

    3. 3

      Prepare accounts

      Pre-provisioned orgs with credits.

      Founding Engineer 1 day

    4. 4

      Run it

      Live runs on the screen with the founders.

      Co-Founder & CTO 1 evening

    5. 5

      Share

      Clips and PR counts on X.

      Founding Growth 1 day

    6. 6

      Follow up

      Next-day call offer to every team.

      Co-Founder & CEO 1 day

    First result
    1 month
    Cost
    $1,000-$2,000 per event
    Owner
    Founding Growth

    Smallest test

    Host one dinner for eight founders with their own tickets.

    Why it works

    Once a month, invite 20-30 founders and engineering leads (YC batch first). Each brings three backlog tickets; Replicas runs them in parallel on the big screen while a short talk covers the software factory. Everyone leaves with PRs, an account with credits and a recording to share on X.

    Seeing your own tickets solved is far more persuasive than a demo repo, and the shared recordings feed the X channel.

    Risks and how to handle them

    • Private code on a public screen

      Show only the team's own screen to them; use a demo repo for the big screen.

    Evidence

    • HiringFounding Growth (Y Combinator jobs, San Francisco, $150K-$250K, 0.5-2% equity): owns the funnel from "signup to onboarding to power user"; SEO, GEO, comparison pages and docs so AI assistants and coding agents recommend Replicas; X is "the biggest growth channel" with constant launches; in-person events for founders in SF; the company reports "six figures in ARR", tens of thousands of PRs and millions of usage minutes a month, and aims for eight figures; team of 2.Source
    • Your website/yc page "The YC Deal": current-batch companies get monthly usage credits for three months, dedicated onboarding and migration, and direct founder access; alumni get one month of credits and onboarding; claimed through a YC verification link.Source
  • 12

    Replicas already gives YC companies credits, onboarding and founder access, and its investors and angels span YC, Pioneer Fund and founders of developer tools. But there is no referral page or referral credit anywhere on the site: a happy CTO has no reason to send the next team.

    Medium impactLow effort First result in 1 month Co Founder & CEO

    First action

    Set the credit amount and add a referral link to the billing page.

    How to measure it

    Referred paying orgs

    Now
    –
    Target
    15% of new paying orgs
    By
    2 quarters

    Steps

    1. 1

      Set terms

      Credit for both sides when the referred org pays.

      Co-Founder & CEO 1 day

    2. 2

      Build links

      Per-org referral link and credit ledger.

      Founding Engineer 1 week

    3. 3

      Place it

      Billing page, usage email and the YC page.

      Founding Growth 2 days

    4. 4

      Ask investors

      Portfolio CTO intros from investors and angels.

      Co-Founder & CEO 2 weeks

    5. 5

      Thank publicly

      Opt-in shout-outs on X for referrers.

      Founding Growth ongoing

    6. 6

      Measure

      Referred signups, paid conversion and cost.

      Founding Growth monthly

    First result
    1 month
    Cost
    Usage credits only
    Owner
    Co Founder & CEO

    Smallest test

    Email five happy customers a personal referral offer.

    Why it works

    Give both sides usage credits when a referred team becomes a paying org. Put a referral link in the app's billing page and the monthly usage email, and a "refer a batchmate" line on the YC page. Ask angels and investors for a short intro list to their portfolio CTOs.

    Startup engineering leaders trust peers more than ads, and credits cost Replicas only compute at its own included rate.

    Risks and how to handle them

    • Credit farming

      Pay the credit only after the referred org's first paid month.

    Evidence

    • Your website/yc page "The YC Deal": current-batch companies get monthly usage credits for three months, dedicated onboarding and migration, and direct founder access; alumni get one month of credits and onboarding; claimed through a YC verification link.Source
    • Your websiteSeed announcement (October 13, 2026): $4M from Y Combinator, Flex Capital, Founders' Co-op, Pioneer Fund and others; usage passed 1 million agent minutes in May, 2 million in July and 5 million in September, and was "nearing 7 million" three weeks later; agents have run in "over 1 million workspaces"; Mintlify and Knowunity named as customers.Source
    • Your websiteSitemap (120 URLs, checked November 10, 2026): 61 resource pages, including 16 "alternatives" pages (among them Conductor, Devin, Factory and Codex), 8 "vs" pages and pricing explainers for three rival tools; 28 blog posts, including guides on using PostHog, ClickHouse, Mercury, Vanta and Context Dev with Replicas; 5 customer stories; 5 integration pages; /yc and /trading pages; no changelog, templates, referral or partner page.Source
  • 13

    Only two of the five customer stories carry a number in their headline (Knowunity "doubled engineering velocity", Vela "3×" faster reviews), although the homepage already has Parrot's 23.5k jobs and Moda's 100% team adoption. The logo wall shows 16 companies, including Mintlify, Composio and Tensorlake, but only five have stories, and the index shows no quotes.

    Medium impactLow effort First result in 1 month Founding Growth

    First action

    Rewrite the three headlines using the numbers already on the homepage.

    How to measure it

    Customer-story conversion

    Now
    –
    Target
    +25%
    By
    90 days

    Steps

    1. 1

      Rewrite headlines

      Parrot, Moda, Utility Profit with numbers.

      Founding Growth 1 day

    2. 2

      Upgrade cards

      Quote and metric on each index card.

      Founding Engineer 1 day

    3. 3

      Tag stories

      By trigger, team size and use case.

      Founding Growth half a day

    4. 4

      Ask three logos

      Short stories from their own analytics.

      Co-Founder & CEO 2 weeks

    5. 5

      Publish

      Three new stories with share images.

      Founding Growth 2 weeks

    6. 6

      Reuse

      Numbers into the vs pages and /llm-info.

      Founding Growth 1 day

    First result
    1 month
    Cost
    $0
    Owner
    Founding Growth

    Smallest test

    Change the Parrot headline to lead with its job count.

    Why it works

    Rewrite the Parrot, Moda and Utility Profit headlines around their numbers, add one quote and the key metric to each card on the index, and tag each story by trigger (Slack, Linear, automations) and team size. Ask three logo-wall customers for a short story built from their own analytics: PR share, minutes, cost per PR.

    Engineering leaders compare outcomes; a number in the headline is what gets read and quoted, by people and by AI assistants.

    Risks and how to handle them

    • Customers decline to share numbers

      Offer ranges or percentages instead of absolute figures.

    Evidence

    • Your websiteCustomers page: five stories (Knowunity, Parrot, Moda, Utility Profit "ships code across all departments", Vela); only two headlines carry a number (Knowunity "doubled engineering velocity", Vela "3×" faster reviews); a logo wall of 16 companies including Mintlify, Composio and Tensorlake; no quotes on the index.Source
    • Your websiteHomepage: "Give Your Backlog to Replicas"; runs six agent harnesses, "each in its own Linux VM", started from Linear, Slack, GitHub, GitLab or the dashboard; Knowunity "50% of pull requests produced by cloud agents", Parrot "23.5k automated cloud-agent jobs in July", Moda "100% of its engineering team"; "$100 of free usage, no card required"; "Book a demo" opens a 30-minute calendar booking; footer links to alternatives pages; "SOC 2 Type I (Type II in progress)".Source
  • 14

    Replicas has SOC 2 Type I with Type II in progress, a Vanta trust center, a DPA, a HIPAA BAA and self-hosted options. Devin advertises Type II since September 2024 and Tembo shows Type II, and Replicas' own Devin page says Devin fits better for buyers who need "SOC 2 Type II today". The Enterprise page's SOC 2 FAQ is blank.

    High impactMedium effort First result in 1 quarter Co Founder & CTO

    First action

    Confirm the Type II observation window with the auditor and write the FAQ answer.

    How to measure it

    Security review time

    Now
    –
    Target
    Under 2 weeks
    By
    2 quarters

    Steps

    1. 1

      Date Type II

      Audit window and expected report date.

      Co-Founder & CTO 1 day

    2. 2

      Answer the FAQ

      SOC 2 and pricing on the Enterprise page.

      Co-Founder & CEO 1 hour

    3. 3

      Write the pack

      Architecture, retention, credentials, secrets, network.

      Co-Founder & CTO 1 week

    4. 4

      Pre-fill questionnaire

      A standard questionnaire in the trust center.

      Co-Founder & CTO 1 week

    5. 5

      Bridge letter

      For deals before the Type II report.

      Co-Founder & CEO 1 day

    6. 6

      Track deals

      Days in security review per deal.

      Co-Founder & CEO monthly

    First result
    1 quarter
    Cost
    Founder time; audit already under way
    Owner
    Co Founder & CTO

    Smallest test

    Answer the Enterprise SOC 2 FAQ with the Type II window this week.

    Why it works

    Publish the Type II audit window and expected report date, answer the SOC 2 FAQ, and build a downloadable security pack: architecture (one VM per task, destroyed after), data retention options, bring-your-own model credentials, secret sync, network controls, and a pre-filled standard security questionnaire. Offer bridge letters and a security call with the CTO for enterprise deals until Type II arrives.

    Security review is where young vendors lose enterprise deals; a ready pack and a dated Type II plan turn "not yet" into "on this date".

    Risks and how to handle them

    • Report date slips

      Publish a window rather than a day and update it.

    Evidence

    • Your websiteEnterprise page: "8M+ minutes of agent runtime" and "290k+ agents run"; Replicas cloud, dedicated single-tenant or self-hosted deployment; SCIM, audit log, DPA and HIPAA BAA; SOC 2 "Type I" with "Type II in progress"; the pricing FAQ has no visible answer.Source
    • Your websiteReplicas vs Devin (updated October 25, 2026): Jira works "only as an agent tool, not a trigger" while Devin starts work from Jira and Teams; Devin has SOC 2 Type II "since September 2024"; the page says Devin may fit better for Jira or Azure DevOps triggers or "SOC 2 Type II today"; it gives no example cost per task for Replicas.Source
    • Competitor researchDevin homepage: "your team's autonomous software engineer"; works with Slack, Teams, GitHub, Jira and Linear; claims SOC 2, ISO 27001 and FedRAMP; logos of large enterprises.Source
    • Competitor researchTembo homepage: "Cloud platform for running AI agents in complete, shareable software environments"; triggers from GitHub, GitLab, Bitbucket, Linear, Jira, Sentry, PagerDuty, Slack and webhooks; public preview links; SOC 2 Type II and self-hosted or VPC deployment.Source
  • 15

    /trading runs a 60-day paper-trading fund with $100,000 of simulated money, run by agents with no human help. It is a striking demo of long-running, self-maintaining agents, but the story it tells is "the fund is losing to the S&P 500", and the page shows three different returns (-4.672% in the headline, -5.25% in the day 33 note, -5.60% at day 30), which undermines the reliability message.

    Medium impactLow effort First result in 2 weeks Founding Growth

    First action

    Make the headline and notes read the same figure from one data source.

    How to measure it

    Trading-page signups

    Now
    –
    Target
    200
    By
    end of the experiment

    Steps

    1. 1

      One number

      Single data source for every return shown.

      Founding Engineer half a day

    2. 2

      Reframe

      Uptime, self-repairs and cost per day above the returns.

      Founding Growth 1 day

    3. 3

      Weekly thread

      Best moments from the agent journal.

      Founding Growth weekly

    4. 4

      Add a disclaimer

      Simulated money, not advice.

      Co-Founder & CEO 1 hour

    5. 5

      Final write-up

      What broke and how the agents fixed it.

      Co-Founder & CTO 2 days

    6. 6

      Link to product

      Automation templates used to run it.

      Founding Growth 1 day

    First result
    2 weeks
    Cost
    $0
    Owner
    Founding Growth

    Smallest test

    Fix the three figures and add an uptime line today.

    Why it works

    Make one figure the source of truth, generated by the agents and dated. Reframe the page headline around the engineering result: days of uptime without human help, workspaces used, self-repairs, compute cost per day. Post a weekly X thread from the agent journal, and end with a write-up on what broke and how agents fixed it.

    The audience is engineers buying reliability, not investors; uptime and self-repair are the claims Replicas sells, and a consistent number keeps the experiment credible.

    Risks and how to handle them

    • A trading theme attracts the wrong audience

      Lead with engineering metrics and keep the simulated-money disclaimer visible.

    Evidence

    • Your website/trading page: "An AI hedge fund run entirely by cloud agents", a 60-day paper-trading experiment with $100,000 of simulated money split between four AI models with no human help; on day 33 the fund was down and behind the S&P 500, and the page shows three different returns (-4.672% in the headline, -5.25% in the day 33 note, -5.60% at day 30).Source
    • HiringFounding Growth (Y Combinator jobs, San Francisco, $150K-$250K, 0.5-2% equity): owns the funnel from "signup to onboarding to power user"; SEO, GEO, comparison pages and docs so AI assistants and coding agents recommend Replicas; X is "the biggest growth channel" with constant launches; in-person events for founders in SF; the company reports "six figures in ARR", tens of thousands of PRs and millions of usage minutes a month, and aims for eight figures; team of 2.Source
  • 16

    The Founding Growth role wants coding agents themselves to recommend Replicas, and the Conductor migration already works by having a local agent drive the Replicas CLI. Replicas has a public "skill" repository on GitHub, but the organisation has only 2 public repos and 3 followers, so few developers find it. Every developer running agents on a laptop hits the moment the job is too long or too parallel for their machine.

    High impactMedium effort First result in 1 month Founding Engineer

    First action

    Turn the Conductor migration prompt pattern into a general hand-off skill.

    How to measure it

    Skill-sourced signups

    Now
    –
    Target
    300
    By
    1 quarter

    Steps

    1. 1

      Design the hand-off

      Branch, task and environment in one command.

      Co-Founder & CTO 2 days

    2. 2

      Build skill and MCP

      Open source in the existing GitHub organisation.

      Founding Engineer 2 weeks

    3. 3

      CLI signup

      Login flow that grants the free usage.

      Founding Engineer 1 week

    4. 4

      Document

      Docs page and README with a short video.

      Founding Growth 2 days

    5. 5

      List it

      Skill and MCP directories.

      Founding Growth 1 week

    6. 6

      Launch

      X launch and a Show HN with a working demo.

      Co-Founder & CEO 1 day

    7. 7

      Measure

      Installs, hand-offs and paid conversion.

      Founding Growth monthly

    First result
    1 month
    Cost
    About three weeks of engineering
    Owner
    Founding Engineer

    Smallest test

    Publish the hand-off prompt in the docs and count CLI signups from it.

    Why it works

    Publish an open-source skill and MCP server that lets a local agent say "run this in Replicas": it packages the current branch and task, starts a workspace via the CLI and returns the PR link. List it in the main skill and MCP directories, document it in the docs, and add a CLI login flow that grants the $100 free usage.

    It meets developers inside the tool they already use at the exact moment the laptop becomes the bottleneck, and the open-source repo is a distribution channel in its own right.

    Risks and how to handle them

    • Agents send secrets with the hand-off

      Reuse the migration prompt's rule of keeping secret values out of the conversation.

    Evidence

    • HiringFounding Growth (Y Combinator jobs, San Francisco, $150K-$250K, 0.5-2% equity): owns the funnel from "signup to onboarding to power user"; SEO, GEO, comparison pages and docs so AI assistants and coding agents recommend Replicas; X is "the biggest growth channel" with constant launches; in-person events for founders in SF; the company reports "six figures in ARR", tens of thousands of PRs and millions of usage minutes a month, and aims for eight figures; team of 2.Source
    • Your websiteBlog "Migrate from Conductor Cloud" (November 4, 2026): maps Conductor concepts to Replicas (Cloud Computer to environment, install script to warm hook, routines to automations), offers a migration prompt that recreates the setup with the Replicas CLI, and help by email to the founders; Replicas "can't import chat history".Source
    • ResearchGitHub organisation replicas-group ("Background coding agents for engineering teams"): two public repositories, "mographc" (6 stars) and "skill" (1 star), and 3 followers.Source
    • Your websiteSeed announcement (October 13, 2026): $4M from Y Combinator, Flex Capital, Founders' Co-op, Pioneer Fund and others; usage passed 1 million agent minutes in May, 2 million in July and 5 million in September, and was "nearing 7 million" three weeks later; agents have run in "over 1 million workspaces"; Mintlify and Knowunity named as customers.Source
  • 17

    Replicas' analytics already attribute usage to source, person, harness, model and credential, and Knowunity uses a daily view of compute, token spend and PR output. Most buyers, though, only see that data if they open the dashboard. The CTO who signed up needs a reason to keep expanding without logging in.

    High impactMedium effort First result in 1 month Founding Growth

    First action

    Hand-build the report for the five largest orgs and send it.

    How to measure it

    Monthly logo churn

    Now
    –
    Target
    Under 3%
    By
    2 quarters

    Steps

    1. 1

      Pick metrics

      PRs merged, share, minutes, cost per merged PR.

      Co-Founder & CTO 1 day

    2. 2

      Manual first

      Five reports by hand, with a feedback call.

      Co-Founder & CEO 1 week

    3. 3

      Automate

      Monthly email from the analytics.

      Founding Engineer 1 week

    4. 4

      Add a suggestion

      One template or setting per report.

      Founding Growth 3 days

    5. 5

      Make it shareable

      Forwardable summary and share image.

      Founding Engineer 2 days

    6. 6

      Measure

      Opens, suggestion uptake and churn.

      Founding Growth monthly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Founding Growth

    Smallest test

    Send five hand-made reports and ask for one reply.

    Why it works

    Email the org admin on the first of each month: PRs opened and merged by agents, share of all PRs, minutes and compute cost, cost per merged PR, top triggers and skills, and one suggestion (an automation template or a workspace size change). Make it forwardable with a share image for internal reporting.

    Usage products retain when the buyer sees value regularly; cost per merged PR is the number a CTO repeats to their CEO and board.

    Risks and how to handle them

    • A bad month prompts cancellation

      Pair low months with a concrete fix and an offer of help.

    Evidence

    • Your websiteKnowunity story: an AI learning platform for "more than 30 million students"; 30+ engineers on Replicas in July; a target of 25% of PRs and MRs from agents in month one, now 50%; "2×" engineering velocity; bug-fixing time down two-thirds; "2.8k" cloud agents and "400,000+ minutes" in July on 4 vCPU, 16 GB workspaces; daily analytics of usage, compute, token spend and PR output by source and engineer.Source
    • Your websiteHomepage: "Give Your Backlog to Replicas"; runs six agent harnesses, "each in its own Linux VM", started from Linear, Slack, GitHub, GitLab or the dashboard; Knowunity "50% of pull requests produced by cloud agents", Parrot "23.5k automated cloud-agent jobs in July", Moda "100% of its engineering team"; "$100 of free usage, no card required"; "Book a demo" opens a 30-minute calendar booking; footer links to alternatives pages; "SOC 2 Type I (Type II in progress)".Source
  • 18

    Support is an email to the founders' address, with no stated response time, no community and no in-app help; the shared Slack channel is only for Team and Enterprise. Meanwhile Replicas already runs a #triage channel where an agent turns bugs into Linear tickets. Developer-plan users, the ones deciding whether to step up, get the slowest path.

    Medium impactLow effort First result in 1 month Co Founder & CTO

    First action

    Write the response targets on the support page.

    How to measure it

    First response time

    Now
    –
    Target
    Under 1 hour in working hours
    By
    60 days

    Steps

    1. 1

      Set targets

      Response time by plan, on support and pricing.

      Co-Founder & CEO 1 hour

    2. 2

      Help button

      In-app thread to the support inbox.

      Founding Engineer 3 days

    3. 3

      Agent first

      Docs-trained agent reproduces and files tickets.

      Co-Founder & CTO 1 week

    4. 4

      Hand-off rule

      Founder takes over billing, security and unsolved cases.

      Co-Founder & CTO 1 day

    5. 5

      Feed the docs

      Common questions become docs pages.

      Founding Growth monthly

    6. 6

      Track

      Response time and satisfaction.

      Co-Founder & CTO weekly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Co Founder & CTO

    Smallest test

    Publish the response targets and log actual times for a month.

    Why it works

    Add an in-app help button that opens a thread handled first by a Replicas agent trained on the docs (answers setup questions, reproduces bugs in a workspace, files a ticket), with a founder taking over when needed. Publish a response target (for example one business day for Developer, four hours for Team) on the support and pricing pages.

    Fast, visible support lowers the risk of choosing a two-person vendor, and agent-first support is another live demo of the product.

    Risks and how to handle them

    • Agent gives wrong answers

      Label agent replies and let users ask for a human.

    Evidence

    • Your websiteSupport page: email to the founders' address with screenshots; no stated response time, community or in-app chat; a shared Slack support channel comes only with Team and Enterprise plans.Source
    • Your websiteBlog "How We Run Our Software Factory" (October 22, 2026): a #triage Slack channel where an agent turns bugs into Linear tickets; crons for Postgres query tuning, Linear cleanup, a "weekly changelog", stale PR cleanup and a code simplification audit; an agent runs the CRM; the team reviews video or screenshot proof instead of diffs; an autofix agent makes CI green before the PR opens.Source
  • 19

    Replicas Review gives one place to read, discuss, fix and merge PRs, but only on web and desktop. The iOS app launched in September and has a single App Store rating. The moment a user approves an agent's PR from their phone is both the stickiest habit and the best time to ask for a rating.

    Medium impactMedium effort First result in 1 quarter Founding Engineer

    First action

    Add push notifications for ready PRs to the current app.

    How to measure it

    App Store ratings

    Now
    –
    Target
    50
    By
    2 quarters

    Steps

    1. 1

      Push alerts

      Notify when an agent's PR is ready.

      Founding Engineer 1 week

    2. 2

      Mobile review

      Summary, key file first, chat for fixes.

      Founding Engineer 3 weeks

    3. 3

      Approve and merge

      Following repository merge rules.

      Founding Engineer 1 week

    4. 4

      Rating prompt

      Native prompt after the third mobile merge.

      Founding Engineer 1 day

    5. 5

      Promote

      Short clips on X and the /mobile page.

      Founding Growth 1 week

    6. 6

      Measure

      Mobile merges per active user.

      Founding Growth monthly

    First result
    1 quarter
    Cost
    About five weeks of engineering
    Owner
    Founding Engineer

    Smallest test

    Ship push notifications and the rating prompt first.

    Why it works

    Ship guided review on iOS (summary, most important file first, ask the agent for a fix, approve and merge), with push notifications when an agent's PR is ready. After a user's third mobile merge, show the native rating prompt. Promote "merge from your phone" clips on X.

    Reviewing from anywhere makes agents part of the day, not a desk task; ratings and reviews help the app get found in the App Store.

    Risks and how to handle them

    • Merging from a phone without enough care

      Respect branch protections and show the agent's test and video proof first.

    Evidence

    • Your websiteBlog "Introducing Replicas Review" (October 21, 2026): one place to read, discuss, fix and merge GitHub PRs and GitLab MRs; guided reviews; an agent pushes fixes from a chat beside the diff; an inbox, stacked PRs and keyboard shortcuts; available on web and desktop.Source
    • Researchprogrammable.info research (November 10, 2026): real visitors pass Core Web Vitals (LCP p75 1.7 s, 19% faster than before; INP 79 ms; CLS 0.01); the homepage has no social share image; the Show HN post (November 2025) got 1 point and no comments; the iOS app has 1 rating; the GitHub organisation has 2 public repositories and 3 followers; no public changelog or roadmap was found.Source
  • 20

    Replicas has written guides on using PostHog, ClickHouse, Mercury, Vanta and Context Dev inside its workspaces, but there is no partner page, and the guides live only on Replicas' blog. Those tools have large developer audiences, docs and integration directories that Replicas is not in.

    Medium impactLow effort First result in 1 quarter Founding Growth

    First action

    Email the two highest-overlap partners with the existing guide.

    How to measure it

    Partner-sourced signups

    Now
    –
    Target
    150
    By
    2 quarters

    Steps

    1. 1

      Rank partners

      By overlap with current customers' stacks.

      Founding Growth 1 day

    2. 2

      Pitch

      Guide, co-post and directory listing.

      Co-Founder & CEO 1 week

    3. 3

      Co-write

      One joint post per partner.

      Founding Growth 2 weeks

    4. 4

      List

      Partner directories and marketplaces.

      Founding Growth 2 weeks

    5. 5

      Tools page

      "Tools your agents can use" under integrations.

      Founding Engineer 2 days

    6. 6

      Track

      UTM-tagged signups per partner.

      Founding Growth monthly

    First result
    1 quarter
    Cost
    Staff time and credits
    Owner
    Founding Growth

    Smallest test

    Pitch one partner and measure the joint post's signups.

    Why it works

    Send each guide to the partner's developer relations team with an offer: a co-written post, a listing in their integrations or partner directory, a joint X post and credits for their users. Turn the guides into an /integrations section for "tools your agents can use". Start with the two partners whose users overlap most with Replicas' customers.

    Partner directories and co-posts bring trusted, targeted traffic, and the guides are already written.

    Risks and how to handle them

    • Partners are slow to respond

      Ask investors and angels with ties to those companies for intros.

    Evidence

    • Your websiteSitemap (120 URLs, checked November 10, 2026): 61 resource pages, including 16 "alternatives" pages (among them Conductor, Devin, Factory and Codex), 8 "vs" pages and pricing explainers for three rival tools; 28 blog posts, including guides on using PostHog, ClickHouse, Mercury, Vanta and Context Dev with Replicas; 5 customer stories; 5 integration pages; /yc and /trading pages; no changelog, templates, referral or partner page.Source
    • Your websiteIntegrations page: Slack, Linear, GitHub, GitLab and Sentry, plus the app, API and CLI; no Jira, Bitbucket, PagerDuty or Microsoft Teams, and no way to request an integration.Source

Big bets 2

Larger plays that can change the trajectory.

  • 21

    Replicas is harness-agnostic and its analytics attribute every minute to harness, model, trigger and outcome, across 8M+ minutes of runtime. No single-agent vendor can publish a neutral comparison of what tasks cost and how often agent PRs merge across harnesses. Replicas already writes pricing explainers for rival tools; a data report would be the category's reference.

    High impactHigh effort First result in 1 quarter Co Founder & CEO

    First action

    Check customer terms for aggregated, anonymised reporting and draft the five headline metrics.

    How to measure it

    Referring domains to the report

    Now
    –
    Target
    100
    By
    2 quarters after launch

    Steps

    1. 1

      Check terms

      Aggregated, anonymised use of usage data.

      Co-Founder & CEO 1 week

    2. 2

      Define metrics

      Merge rate, minutes and cost per merged PR.

      Co-Founder & CTO 1 week

    3. 3

      Build pipeline

      Quarterly aggregation with minimum group sizes.

      Founding Engineer 3 weeks

    4. 4

      Write report

      Findings, charts and method.

      Founding Growth 2 weeks

    5. 5

      Launch

      X, press briefings and a public dashboard.

      Co-Founder & CEO 1 week

    6. 6

      In-app benchmark

      Customers compare themselves with the medians.

      Founding Engineer 2 weeks

    7. 7

      Repeat

      Every quarter.

      Founding Growth quarterly

    First result
    1 quarter
    Cost
    About six weeks of team time per first edition
    Owner
    Co Founder & CEO

    Smallest test

    Publish one chart of median minutes by task type on X.

    Why it works

    Each quarter, publish aggregated, anonymised data: merge rate and median minutes by task type, trigger and harness; compute cost per merged PR; how automations compare with hand-assigned tasks; trends quarter on quarter. Release a public dashboard and a PDF, brief developer press, and invite customers to benchmark themselves against the medians in-app.

    Original data earns links, press and AI-assistant citations that comparison pages cannot, and it positions Replicas as the neutral layer above all harnesses.

    Risks and how to handle them

    • Harness vendors dispute the findings

      Publish the method, sample sizes and caveats, and avoid ranking claims the data cannot support.

    • Customer data sensitivity

      Aggregate only, with minimum group sizes and opt-out.

    Builds on

    Evidence

    • Your websiteEnterprise page: "8M+ minutes of agent runtime" and "290k+ agents run"; Replicas cloud, dedicated single-tenant or self-hosted deployment; SCIM, audit log, DPA and HIPAA BAA; SOC 2 "Type I" with "Type II in progress"; the pricing FAQ has no visible answer.Source
    • Your websiteKnowunity story: an AI learning platform for "more than 30 million students"; 30+ engineers on Replicas in July; a target of 25% of PRs and MRs from agents in month one, now 50%; "2×" engineering velocity; bug-fixing time down two-thirds; "2.8k" cloud agents and "400,000+ minutes" in July on 4 vCPU, 16 GB workspaces; daily analytics of usage, compute, token spend and PR output by source and engineer.Source
    • Your websiteSitemap (120 URLs, checked November 10, 2026): 61 resource pages, including 16 "alternatives" pages (among them Conductor, Devin, Factory and Codex), 8 "vs" pages and pricing explainers for three rival tools; 28 blog posts, including guides on using PostHog, ClickHouse, Mercury, Vanta and Context Dev with Replicas; 5 customer stories; 5 integration pages; /yc and /trading pages; no changelog, templates, referral or partner page.Source
  • 22

    Replicas already supports cloud-provider model credentials (Bedrock and Foundry) and offers dedicated single-tenant and self-hosted deployments for enterprise. Larger engineering organisations often have committed cloud spend and prefer buying through their cloud provider's marketplace, which also skips a new-vendor procurement cycle.

    High impactHigh effort First result in 2 quarters Co Founder & CEO

    First action

    Ask the five largest prospects whether they would buy through a cloud marketplace and which one.

    How to measure it

    Marketplace-sourced ARR

    Now
    –
    Target
    First three enterprise contracts
    By
    3 quarters

    Steps

    1. 1

      Ask buyers

      Which marketplace and whether committed spend applies.

      Co-Founder & CEO 2 weeks

    2. 2

      Pick one cloud

      Start with the most common choice.

      Co-Founder & CEO 1 day

    3. 3

      Package

      SaaS listing plus the self-hosted product.

      Co-Founder & CTO 6 weeks

    4. 4

      Billing integration

      Metered usage through the marketplace.

      Founding Engineer 4 weeks

    5. 5

      Join partner programme

      Startup and co-sell programmes.

      Co-Founder & CEO 1 month

    6. 6

      Promote

      Enterprise page and sales calls.

      Founding Growth 1 week

    First result
    2 quarters
    Cost
    Two to three months of founder and engineering time
    Owner
    Co Founder & CEO

    Smallest test

    Close one enterprise deal through a marketplace private offer.

    Why it works

    List the Team and Enterprise plans on the marketplace of the cloud most customers already use for model credentials, with private offers for enterprise deals and the self-hosted option packaged as a deployable product. Co-sell with the provider's startup and partner programmes, and add "buy through your cloud marketplace" to the Enterprise page.

    Marketplace billing turns an unbudgeted new vendor into spend against an existing commitment, which shortens enterprise deals for a young company.

    Risks and how to handle them

    • Distraction before product-market fit in enterprise

      Only start after two prospects confirm they would buy this way.

    Builds on

    Evidence

    • Your websiteEnterprise page: "8M+ minutes of agent runtime" and "290k+ agents run"; Replicas cloud, dedicated single-tenant or self-hosted deployment; SCIM, audit log, DPA and HIPAA BAA; SOC 2 "Type I" with "Type II in progress"; the pricing FAQ has no visible answer.Source
    • Your websiteDocs quickstart ("about 5 minutes"): connect a coding agent subscription or API key with the CLI, connect GitHub or GitLab, add repositories (an environment is created for each), optionally connect Slack or Linear, then "describe a small task" to start the first workspace.Source

Wildcards 1

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

  • 23

    Utility Profit "ships code across all departments with cloud agents", and Replicas runs its own CRM with an agent that asks the founders for daily follow-ups in Slack. The pitch today is to engineering teams only, but the Slack trigger lets anyone in a company hand work to an agent.

    Medium impactMedium effort First result in 1 quarter Co Founder & CEO

    First action

    Ask Utility Profit which departments use Replicas and for what.

    How to measure it

    Share of tasks from non-engineers

    Now
    –
    Target
    20% in pilot orgs
    By
    2 quarters

    Steps

    1. 1

      Learn from Utility Profit

      Departments, tasks and review flow.

      Co-Founder & CEO 1 week

    2. 2

      Pick two pilots

      Existing customers with willing ops teams.

      Co-Founder & CEO 1 week

    3. 3

      Set guardrails

      Engineer review, limited repos and roles.

      Co-Founder & CTO 1 week

    4. 4

      Run the pilot

      Eight weeks of Slack requests.

      Co-Founder & CEO 8 weeks

    5. 5

      Write it up

      Case study and landing page.

      Founding Growth 2 weeks

    6. 6

      Decide

      Package it or stop.

      Co-Founder & CEO 1 day

    First result
    1 quarter
    Cost
    Founder time and pilot credits
    Owner
    Co Founder & CEO

    Smallest test

    Interview Utility Profit's non-engineering users.

    Why it works

    Pilot a "Replicas for the whole company" package with two existing customers: ops, sales and support staff request scripts, data pulls and internal tool changes in Slack, an engineer reviews the PR. Measure requests per non-engineer, then write the case study and a landing page for operations leaders.

    Every non-engineer request is usage that engineering does not have to schedule, which grows minutes per account without new logos.

    Risks and how to handle them

    • Low-quality requests flood engineers

      Use custom roles and a weekly review cap.

    Evidence

    • Your websiteCustomers page: five stories (Knowunity, Parrot, Moda, Utility Profit "ships code across all departments", Vela); only two headlines carry a number (Knowunity "doubled engineering velocity", Vela "3×" faster reviews); a logo wall of 16 companies including Mintlify, Composio and Tensorlake; no quotes on the index.Source
    • Your websiteBlog "How We Run Our Software Factory" (October 22, 2026): a #triage Slack channel where an agent turns bugs into Linear tickets; crons for Postgres query tuning, Linear cleanup, a "weekly changelog", stale PR cleanup and a code simplification audit; an agent runs the CRM; the team reviews video or screenshot proof instead of diffs; an autofix agent makes CI green before the PR opens.Source
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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on November 10, 2026, and cites them throughout. Replicas did not commission, review or endorse it, and Programmable is not affiliated with Replicas. 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 Replicas runs its business.

Something wrong, or do you represent Replicas? 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 307 ideas

    Answer the cost question and the blank pricing FAQs, run the Conductor Cloud concierge before November 20, align the usage numbers, add a share image; start the first-PR activation path and the public changelog.

  2. Days 31 to 6013 ideas

    Usage-led upgrades, Jira and Bitbucket triggers, templates, SF events, YC referrals, sharper customer stories, the SOC 2 pack, the trading experiment, the hand-off skill, the CTO report, support, mobile review and integration partners.

  3. Days 61 to 903 ideas

    Commit to the big bets: a public cost-per-merged-PR report, a cloud marketplace listing, and a pilot beyond engineering teams.

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 triggering cloud agents from anywhere: Slack, Linear, GitHub and automations. The most cited problem: laptops cannot hold many agents that each need their own environment.

  • Switching between agent harnesses with the same environment as a developer machine
  • Agent sandboxes that cannot run tests, logs or browsers
  • In their words: “cloud agents”

Market

Competitive landscape

4 competitors compared: Devin, Tembo, Conductor and Agent vendors' own cloud agents.

  • Gap to exploit: A plain per-task cost for cloud agents
  • Devin: Only its own agent
  • Tembo: No public prices on the homepage

Hiring signals

Replicas is a two-person team hiring its first two employees, and both roles point at the next stage.

  • Founding Growth: Funnel, SEO/GEO and comparison pages, X launches, SF events; six figures to eight figures of ARR. Ideas 1, 2, 4, 5, 6, 11, 16.
  • Founding Engineer: Infrastructure and tooling for background agents; talks to customers. Ideas 8, 10, 16, 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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