Feedback that
actually ships.

The pipeline from "a user noticed something" to "we shipped the fix" is broken in three places. Here is the problem, the wedge, and a tiny working demo — one page.

Why feedback rarely turns into product

Every SaaS company collects user feedback. Almost none of it turns into shipped product. Most teams blame culture or capacity. The real failure is mechanical — the pipeline leaks in three predictable places, and existing tools just digitize the leaks instead of fixing them.

1. Capture is friction-heavy. Users have to leave the product, find the support email or upvote board, and write a coherent description. Most don't. The ones who do write one-liners — "search is broken" — and a PM reading that has nothing to act on.
2. Triage is manual hell. PMs get the same idea reported twenty times in twenty different ways. They spend hours de-duping, tagging, and guessing which segment cares. By the time they prioritize, the signal is stale.
3. The loop never closes. Engineering builds something months later. The reporter never hears back. Trust dies quietly. The next time they hit a bug, they churn instead of reporting it.

Canny, Productboard, Featurebase, Pendo — they are all upvote boards with prettier UI. They digitize a broken process. They don't fix it.

Show the fix before you ship the fix

A feedback tool where users describe a problem, the LLM generates an interactive prototype of the proposed fix on the spot, and the reporter iterates until it matches what they actually wanted. Only then does it reach the PM queue — as a validated spec, not a wishlist item.

Try it — click the dark feedback button in the corner

Three steps. Capture, iterate, close the loop. The PM gets a validated spec; the user gets heard.

Three primitives just became cheap

• LLM-generated UIs (v0, Bolt, Lovable) make on-demand prototyping affordable per request. Two years ago this cost more than a designer.
• Vision models read a screenshot and infer page, component, and browser — no instrumentation needed.
• Embeddings + clustering turn "twenty ways to say search is slow" into one issue with a vote count, automatically.

The category is also primed: Canny and Productboard have raised $50M+ each on a worse version of this. Buyers know they need it. They just don't have a tool that closes the loop.

Land on the prototype loop, expand to the stack

Start with Series A–B B2B SaaS PMs — 10 to 50 person product teams. They feel the pain acutely, have budget, and ship fast enough to validate the loop weekly. $49/mo starter, $499/mo team, enterprise on top for SSO and Stripe-weighted prioritization.

The wedge is one sentence on the landing page: "Show your users what you'd build before you build it." Once they're in, the triage stack — clustering, revenue weighting, automatic reporter follow-up — becomes sticky.

The moat is the iteration data

Not the widget — anyone can build a widget. The moat is what gets generated during the iteration loop: every prototype refined by a real user is a labeled signal for what good product looks like in that domain. Over time, the tool proposes the right fix on the first try more often. Canny can't replicate that without rebuilding from scratch around an LLM.

Happy to go deeper on any of this — especially the prototype loop, which is where the magic lives. Built as a one-pager — read, click, react.