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.
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
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
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
Add the table
Place it above the FAQ and render the answer in the server HTML, not only on click.
Founding Engineer 1 day
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
Copy it everywhere
Same answer in /llm-info, the vs pages and the docs billing page.
Founding Growth 1 day
Launch it on X
A post with the per-task table and the customer data behind it.
Co-Founder & CEO 1 hour
Measure
Pricing-to-signup rate and demo calls that raise cost, before and after.
Founding Growth monthly
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