Ordinatus is the back-office for companies selling paid, scheduled support sessions. Customer submits a request โ it routes only to qualified engineers โ first one available claims it โ customer books a slot and pays at checkout, through your own Stripe/Shopify. No admin dispatching, no invoice chasing, no no-show risk.
Calendar invites, reminders, and per-engineer payout splits happen automatically. Your processor, your customer relationship - we never touch the money or take a cut.
Eligible trainers only
The right trainers see the right sessions
Shared queue
Trainers claim from a shared queue
No customer login
Every customer action happens through a secure token link.
Ordinatus sits at an intersection nobody else builds at: paid at booking, claimed by whoever's actually qualified and available, running on your own payment processor instead of a marketplace's. Ticket queues route work but were never built to collect payment up front. Schedulers handle one person's calendar but have no concept of a shared queue of paid requests. Marketplaces solve claiming and payment together, but they take a cut and own the customer relationship. Ordinatus combines all three without the tradeoffs any single one of them makes.
Because you keep everything: 100 percent of the revenue, the customer relationship, and your own payment processor account. Nobody's skimming a cut off the top, and you're not stuck being the dispatcher every time a request comes in. Your team claims sessions from a shared queue instead of getting manually assigned, customers pay at the moment they book instead of after the fact, and calendar invites, reminders, and payout splits happen automatically. It's the workflow, not five disconnected tools stitched together with a spreadsheet in between.
Companies that sell paid, scheduled support sessions through a bench of specialists rather than a single calendar owner: software and hardware vendors running paid support, independent consultancies and specialist support shops, and training-plus-support hybrids. If your business already charges for one-on-one help and has more than one person capable of delivering it, matching the right person to the right request and getting paid for it is the daily operational problem Ordinatus is built to solve.
Django and PostgreSQL on the backend, deployed on DigitalOcean App Platform. Django Q2 handles background jobs like reminders and calendar sync, django allauth handles authentication, and SMTP2Go handles email delivery. The frontend is server rendered Django templates with htmx and Alpine.js rather than a separate JS framework. Payments run through Stripe or Shopify, calendar sync covers Google and Outlook, and OAuth tokens for every integration are encrypted at rest.
It started as a custom build for one client whose support engineers were fighting over a shared calendar every time a paid request came in: whoever saw it first grabbed it, someone else double booked the same slot, and payment got chased down after the session instead of collected at booking. A second, unrelated client described almost the identical problem later on. Two independent businesses hitting the exact same wall told me it wasn't a one off integration job, it was a real gap between generic schedulers and ticket systems that were never built to collect payment up front. Ordinatus is that gap, generalized into a product.
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Check the traffic stats of Ordinatus on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Ordinatus on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Ordinatus's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Ordinatus on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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