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GitDailies is the strongest Faros AI alternative for small and mid-sized GitHub teams: published PR-volume pricing that starts free, daily digests, PR and DORA metrics, and a first metric in roughly 90 seconds of self-serve setup. Faros AI remains stronger as a quote-only enterprise AI-engineering platform for organizations running thousands of engineers; Jellyfish and DX compete at that platform depth.

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What it costs

No list price to compare.

Faros AI does not publish pricing - every figure is quote-only. GitDailies plans are published, from $0. Move the slider to see what GitDailies costs at your size.

Side by side

Where each is stronger.

CapabilityGitDailiesFaros AI
Pricing modelBy PR volumeQuote-based
Entry priceFreeNot published
Unlimited users on every planYesNot published
Time to first metric~90 secondsSales demo; one-day POC
DORA metricsYesYes
PR cycle time and throughputYesYes
Stale-PR alerts with custom thresholdsYesThreshold alerts and automations
Visual rule builder for alertsYesNot published
Personal daily digestYesNot advertised
Slack / Telegram deliveryBothSlack and Teams; no Telegram
Email digest deliveryYesDashboard summaries via email
Metrics API for Grafana and KibanaYesEnterprise tier and above
Historical metrics backfillUp to 18 monthsUnlimited history
Deep Jira and Linear integrationCommit linkingDeep Jira; Linear not listed
Developer experience surveysNoTemplates plus imported survey data
Investment allocation reportingNoYes
Reads your source codeNeverNot published

Where Faros AI is genuinely stronger

  • Cross-tool data platform - code, CI/CD, incidents, and project data in one unified model
  • AI-adoption and ROI analytics (GitHub Copilot impact, Token Intelligence)
  • SOC 2 Type II, ISO 27001, and GDPR compliant; SaaS, hybrid, or on-prem deployment
  • SSO on every tier; SAML and advanced RBAC on Enterprise. (GitDailies covers this indirectly: sign-in is via GitHub, so your org's SAML SSO on GitHub applies automatically.)
  • Unlimited metric history
  • Developer experience surveys overlaid on system telemetry
“GitDailies is one of the most customer-obsessed vendors we work with - clear communication, killer features.”

Alexander Neben

Director of Engineering, MongoDB

Moving over

Switching from Faros AI?

Run both for a fortnight and compare the numbers before you cancel anything.

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Questions

What people ask before switching

Faros AI does not publish prices. The pricing page lists three tiers - Professional, Enterprise, and Ultimate - and every plan’s call to action is a demo request, with no price anywhere on the site, no free tier, and no self-serve trial. The vendor markets a platform that handles thousands of engineers, so a 50-person team is buying through an enterprise sales motion built for much larger organizations. GitDailies publishes its prices: Community is free for 50 merged pull requests per month and paid tiers step with volume from $49 - a 50-person team merging around 500 pull requests lands on Pro 500 at $99 per month.

No. Faros AI announced an open-source Community Edition in 2022, but it has since been removed - the GitHub repository now returns a 404, so third-party profiles that still list a free open-source edition are out of date. The vendor’s own site offers no free tier and no self-serve trial; the fastest on-ramp it describes is a one-day proof of concept behind a demo request. If free matters, GitDailies Community is free for up to 50 merged pull requests per month across two repositories, with daily digests and PR metrics included, and paid plans start at a published $49 per month.

If your organization spends heavily on AI coding tools and leadership wants that spend traced to outcomes, Faros AI is genuinely strong here - Token Intelligence connects AI spend to what shipped, and the platform analyzes GitHub Copilot impact across the organization. GitDailies does not do any of that. It measures delivery outcomes from GitHub metadata: pull request flow, review load, and the four DORA charts - Deployment Rate, Lead time for changes, Time to restore service, and Change failure rate. For a small or mid-sized GitHub team, that is usually the question that matters first: whether the work is flowing, not what each token cost.

Per-seat tools charge for every developer on the team, so the bill grows with headcount whether or not activity does. GitDailies plans are sized by the pull requests your team merges per month, in volume bands: a 50-person team merging 400 PRs fits the up-to-500 band at a flat published price. Contractors, reviewers, and occasional committers are free on every plan, and the price only changes when your monthly volume crosses into another band.

No. GitDailies never clones repositories and does not read or store source code. It works from pull request metadata - titles, reviewers, timestamps, status checks - through a GitHub App whose every permission scope is read-only. It also does not use your data to train AI models.

Yes. Deployment Rate, Lead time for changes, Time to restore service, and Change failure rate. Deployments come from a nominated GitHub Actions workflow or from external CI/CD through an incoming webhook, and incidents arrive on the same webhook, so all four charts run on your actual delivery path.