Find out when your backlog will actually be done. Free.
Honest Cheetah reads your GitHub Projects board and tells you when the work will be done, what's stuck, and how long things really take. Free for every organization, with no seat cap and no time limit. Nothing to install: you sign in with GitHub.
Sign in with GitHub What it can see
No estimates. No story points. Just your history.
Your board already holds the answer. Every item that moved from "In Progress" to "Done" recorded how long it took. Honest Cheetah reads that history and runs the numbers: a forecast with a range and a confidence level instead of a guess, the items that have been in progress too long, and the delivery window you can actually promise.
It doesn't ask your team to change how it works, and it doesn't ask anyone to estimate anything. Counts, not percentages. Findings, not lectures. What you do about them is up to you.
What you get for free
Forecasting
Monte Carlo forecasts from your own throughput. "When will these 40 items be done?" and "How much will we finish by the 9th?", answered at 50, 80, 90 and 99 percent confidence, on the whole backlog and next to every item.
Flow metrics
Cycle time, throughput, aging work in progress and your typical delivery window. The things that are stuck, named, before somebody asks in a status meeting.
Backlog and refinement
A backlog you can reorder and edit without leaving the page, and a refinement stage installed on your board in one click. Everything you change is written back to GitHub.
Iteration planning
Plan the next iteration with your throughput on the same screen, so the plan starts from what your team actually finishes. Track it while it runs.
Definition of Done
Write it down once, per project, and keep it where the work is. Not in a wiki page nobody opens.
The Azure DevOps import
Bring one Azure DevOps team project's requirements, tasks and history onto a GitHub Projects board, and see what will and won't come over before anything moves.
Free means free
No seat cap. No project cap. No time limit. No credit card. Every GitHub organization gets all of the above the moment someone signs in.
- Nothing to install. Sign in with GitHub and pick a project. There's no GitHub App to install and nothing to ask your admin for (unless your organization restricts third-party apps; see below).
- No AI. The free product makes no AI calls of any kind. Every number on the screen comes from code you could check with a spreadsheet.
- Your data stays in GitHub. Issues, statuses, iterations and backlog order live on your board. Honest Cheetah reads them live. Anything it writes, it writes to GitHub, where it's yours whether or not you ever come back.
What it can see, and what it does with it
When you sign in, GitHub will ask you to grant Honest Cheetah access to your repositories, including private ones. That's a broad permission, and you should know why it's needed.
GitHub's sign-in permissions are coarse. There is no "read issues only" permission and no read-only permission for private repositories, so reading the issues on a private repo's board takes full repository access. Here is what Honest Cheetah does with it: it reads your issues and project boards; it writes issues and sub-issues when you ask it to; it creates a repository only when you use the project factory; and it never touches your code. The privacy page has the details, including how to disconnect.
If your organization restricts third-party apps, an organization owner has to approve Honest Cheetah once before anyone else can use it. GitHub shows a "request approval" link on the sign-in screen.
The AI is paid. The math is free.
Free is everything Honest Cheetah computes. Paid is everything a model writes, and test management.
AI assistance
A score for every requirement on whether a tester could tell what passing means. Improve, split, and draft in one click. A Definition of Done tailored to your project. It never writes anything to GitHub you didn't confirm.
Daily News
A short briefing on every project, every day: what changed, what needs attention, what's at risk. The numbers come from code. The AI writes them up, and the facts it wrote from are one click below.
Test management
Test cases on the requirements they verify, runs bound to builds, evidence attached, and bugs filed from a failed step. And a record of who actually verified what, which matters more now that an agent may have written the code.
$25 per seat per month, five-seat minimum. Want to see it first? Any member of your organization can start a 15-day trial for five people, with no credit card, from inside the app. When it ends, the paid features go away again and the free ones carry on; nothing gets locked. Pricing →
Built by someone who does this for a living
I'm Benjamin Day. I've been helping teams with Team Foundation Server, Azure DevOps, Scrum and GitHub since 2005, and Honest Cheetah is the tool I wanted on those engagements.
The numbers it shows are the ones I'd ask for in the first week of working with your team: how long work really takes, how much gets done, what's stuck, and whether the date you committed to is realistic. If those numbers say something you don't like, that's a conversation I've had many times, and I'm happy to have it with you. About me · Workshops · Flow Metrics Masterclass
Coming from Azure DevOps?
There's a free Honest Cheetah extension for Azure DevOps with the same metrics and forecasting, and the import for trying one team project on GitHub Projects before you decide anything.
If the bigger question is the migration itself, that's a different page. If it's TFVC, that one.