For as long as commerce has scaled, the advantage has belonged to the brands that could afford to build their own infrastructure. RILT exists to hand that advantage to the ones who can't.
We build the infrastructure your releases run on: structured early access, the reliability a release day asks for, and the data to make the next one sharper.
We've run this model for a live brand today. On their last release, most of the revenue arrived before the public link ever opened.
Start a conversation hello@rilt.io, +1 626 926-2076
Why We Built This
The largest brands could afford the engineers and the data teams, so they turned their release days into machines. Who gets in first, how deep to cut each size, what a list is worth to the dollar. They kept that machinery to themselves, because it was an advantage worth keeping.
Independent brands were handed tools built for a store that opens every day at the same volume, and told to make do. None of it understands a drop. None of it understands that the whole month can happen in an hour, or that a checkout that stalls at 11:46 is a month of work gone while the audience watches it go.
We think the machinery is the one thing that can be built once and shared. The exclusivity structure, the reliability, the data: operated as a single platform, kept separate for each brand, and put in the hands of the people driving the culture.
We start with the drop because that is where an independent brand is most exposed and least served. Solving it earns the right to the next thing. It is where we begin, not where we stop.
What We Run
01
Foundation. We move you off a themed storefront onto a headless build on top of Shopify. Checkout stays Shopify-native and proven; everything that makes a drop a drop gets built above it. This is the ground the rest of the system stands on, and the start of a relationship, not a one-off handoff.
02
Command. A live view of the release as it happens: revenue, conversion, traffic, and where the inventory is going. You configure the drop, set the windows, and watch it run, without a developer in the chair on the day.
03
Intelligence and access. Sizing that comes from your own history instead of a hunch, so you stock to a curve and stop cutting dead stock. And structured early access that lets your most committed customers in first, turning a list you already have into revenue committed before the public link opens.
04
Distribution. Once the system is proven on your own drops, access moves into your customer's pocket. A tap replaces a pasted password, and push replaces the cost and the quiet unreliability of SMS.
05
Reliability. A drop is a spike, not a steady state, and a failure on the day is a canceled revenue event with an audience watching. We treat uptime under load as the baseline, and we measure the claim path to the millisecond, because "it felt fine" is not a guarantee.
Field Notes
We run a lot of releases, and every one teaches us something. Some of it is specific and stays with the brand. Some of it is structural, true across brands, and worth writing down. That second kind lives here. Aggregate and anonymized, always: the patterns, never anyone's numbers.
01
Before the public link.
The most under-used thing a drop brand owns is the order in which it lets people in. A flat blast to everyone at once treats a list like a mailing list. A structured early window treats it like what it actually is: a group of people ranked by how much they want in.
02
A quarter of your list never got the text.
SMS built the drop economy. It is also quietly decaying, and the decay is invisible until someone goes and checks delivery receipts instead of send counts.
03
You are cutting the wrong sizes.
Most dead stock is not a demand problem. The brand had enough buyers. It just cut the garment in a shape that didn't match how those buyers actually wanted to be sized.
04
A drop is not a busy Tuesday.
Every always-on e-commerce benchmark you've ever read describes a store with roughly even traffic all week. A drop compresses a month of that store's demand into an hour. None of the normal numbers apply, and the few that do apply are the ones nobody instruments by default.