storyna is a lab where ideas run laps — researched, prototyped, shipped, and fed back through the loop until they hold up.
Machines that meet you halfway.
Every product in this lab lives at the seam — autonomous systems on one side, the people who depend on them on the other.
The loop is the engine.
No six-month discovery. Build the smallest honest version, put it in front of real use, let the telemetry set the next lap.
Frame
Pin the problem to something measurable. If we can't name the metric we're moving, we don't start the lap.
01 — Frame
Pin the problem to something measurable. If we can't name the metric we're moving, we don't start the lap.
02 — Prototype
A working slice in days, not a deck. Real model, real data, real failure modes on the table by Friday.
03 — Ship
Deploy to people who'll be annoyed if it's wrong. That's the only test that counts for anything.
04 — Learn
Read the traces, keep what survived contact, and feed everything back into the next lap around.
What's running in the lab.
Four units in active rotation. Each visual below is a live simulation — nothing on this page is a picture.
jewel tara
LiveWhatsApp-based luxury jewelry photoshoot studio. Transforms raw jewelry photos into high-end editorial model campaigns in <30s.
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BetaOne line on what this product does and who it's for. Swap in the real thing — this is placeholder copy.
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BetaOne line on what this product does and who it's for. Swap in the real thing — this is placeholder copy.
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BuildingOne line on what this product does and who it's for. Swap in the real thing — this is placeholder copy.
100 products. 100 loops. In public.
An extreme shipping discipline: building, testing, and shipping 100 validated products into real hands. Zero vaporware. The loop gets faster every lap.
jewel tara
WhatsApp-based generative luxury jewelry photoshoot studio. Takes a single jewelry product photo and delivers high-fashion Vogue editorial shoots in under 30 seconds.
Why 100 Products?
Building 100 products isn't about rushing out disposable toys. It's about developing relentless product muscle. Repetition burns away perfectionist hesitation and turns intuition into repeatable engineering.
Small, Honest Slices
No 6-month roadmaps. Put a working piece of software in front of users by week's end or kill the assumption.
Real Telemetry Only
Only deploy to people who will be annoyed if it fails. That is the only real signal of utility.
Shared Infrastructure
Every lesson in model routing, webhook resiliency, and evals feeds directly into the remaining 99 units.
The Loop Compounds
Lap 10 is twice as fast as Lap 1. Lap 50 is ten times sharper. By Lap 100, shipping is second nature.
Three ways in.
Use what we've built, build alongside us, or point the whole loop at a problem inside your company.
Use the products
Pick up anything marked Live and run with it. Self-serve, no call required.
Build alongside us
Design-partner slots for teams who want a unit shaped around their actual workflow.
We build it for you
A dedicated loop pointed at one problem inside your company, start to shipped.
Frequently asked.
The things people ask before the first call. Edit these to match how you actually work.
> what kind of products does the lab build?
Placeholder answer. Name the category of problems you take on — and the ones you turn down. A sharp "not this" reads as more confident than a broad "anything."
> who owns the IP?
Placeholder answer. State the default plainly and where it can flex. This is the question that quietly kills deals when the answer is vague.
> how do you handle our data?
Placeholder answer. Retention, training usage, hosting, certifications. Be specific — hedging here reads as evasion.
> how fast is a first working version?
Placeholder answer. Give a real range, not a best case, and say what moves a project between the fast end and the slow end.
> what happens when a product doesn't work out?
Placeholder answer. Being candid about the units that got killed is a credibility signal. Most labs pretend it never happens.
Start a loop.
Tell us the problem you'd point a lap at. If it's a fit we'll say so quickly — and if it isn't, we'll tell you that just as quickly.