Software development shops
Devs log from memory and fixed-bid builds quietly bleed margin in the last sprint. Timix.AI prices every logged hour twice — what the client pays and what it costs you — so a sentence-long timesheet turns into project margin you can see before the build ships.
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Illustrative entries
01 The problem
A dev shop wins on margin, but margin is the one number that shows up last — after the sprint where revision rounds and scope creep already spent it.
The week ends, hours get reconstructed on Friday, and the fixed-bid build's true cost is a guess. By the time it's a number, the sprint that blew the budget is over.
Scope creep and round-four changes land on a flat price. Without a budget burning down live, the overrun shows up at delivery, when it's too late to renegotiate or rescope.
Standups, your own product work, and admin look identical to billable client hours in a generic tracker, so the profitability of any one client or project is folklore.
02 How Timix.AI fits
Map the SOW the way it's sold, price every hour twice, and cap what needs capping — so "is this build still profitable?" has an answer mid-sprint, not at the retro.
Log a week on the grid, copy last week, or just tell Timix.AI "log 3h on the Acme API epic" in plain English.
Timix.AI logs time by sentence and answers budget/hours questions (Starter+); the week grid and Copy Last Week are standard.
Customer → Project → Task → SubTask maps onto client → SOW → epic → story, with billing type, rates, and budget at every level and auto-SubTask so there's no setup friction at sprint start.
4-level hierarchy with auto-SubTask creation and billing-type inheritance.
Fixed-bid builds get a Fixed Price budget; T&M retainers get an hour-cap. Soft and hard limits plus alert thresholds warn before the budget's gone, with health computed from live hours.
3 billing types (T&M, Fixed Price, OVH) and budgets with soft/hard limits + alert thresholds at project/task/subtask.
A senior rate burns a fixed bid faster than a junior one, so the cost rate on each entry is what decides whether the build cleared. Margin rolls up per epic, per build, and per client, while OVH parks standups and your own-product time outside client margin.
Senior vs junior cost rates change build margin; OVH excluded from client margin. (Full per-client margin mechanics → profitability tracking.)
03 Try it on your own builds
Spin up a workspace, bulk-import clients and projects from CSV, set customer and cost rates, and read margin on a real build — yours, not ours. The trial is full access: every report, every billing type, 90 days.
90-day free trial, full access, no credit card.
Want to look around first? Pre-seeded IT-services, law-firm and construction demo workspaces are open to everyone — the IT-services org shows the same hierarchy and margin mechanics on realistic data. Open the IT-services demo
04 FAQ
Not yet, and we won't pretend otherwise. There's a key-authenticated Integration API you can build against today (Professional+), but no named connectors, no imported issues, and no commit-based time — you log hours against the project/epic/story tree inside Timix.AI.
Yes — Time & Materials, Fixed Price, and Overhead are set per Project, Task, or SubTask and inherit down the tree, so a fixed-bid build and a T&M retainer for one client each compute correctly, with their own budgets and caps.
That's the design goal. They can fill a week on the grid, copy last week, or tell Timix.AI "log 3h on the Acme API epic" — a sentence instead of a form. (Timix.AI chatbot is Starter+.)
Timix.AI is an installable web app (PWA) — add it to your phone's home screen and it works offline, syncing when you reconnect. It's not a native App Store/Play app, but it installs and runs like one in any browser.
Same engine, different shape of work. IT services and MSPs juggle many ongoing retainers and tickets across a roster of clients; a dev shop delivers discrete fixed-bid builds and SOWs measured sprint by sprint. This page leans into protecting a build's bid; the IT-services page leans into multi-client utilization. If you run both, model both in one tree.
Ready when you are
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