vibencode
Case study

PlanYourSaas

Continuous reading of the public market, extracted into one comparable shape, with pricing models to test a change against.

Client PlanYourSaas Sector SaaS strategy tooling
The shape of it The sentence it arrived as
What we heard

“We priced this in a spreadsheet eighteen months ago and nobody has opened it since.”

What it became

Continuous reading of competitor pricing, changelogs and reviews, pulled into one comparable shape, with pricing models over the live market.

What we found The problem under the stated one

Competitive research is not difficult. It is simply never finished.

A founder does it properly once, builds a good spreadsheet, and it is wrong within two quarters because competitors shipped and competitors repriced. Nothing announced it. The document just quietly stopped describing the market.

Nobody redoes it because nearly all the effort is collection, and collection mostly confirms what was already suspected, right up until the once it does not. So collection had to become continuous, and the attention had to move to the comparison.

Almost all of the effort is collection, and collection mostly confirms what you suspected.

Right up until the once it does not, which is the time it was worth doing.
What we built In the order it happened
  1. 01Continuous reading of the public surface: pricing pages, changelogs, feature tables, docs and review sites.
  2. 02Extraction pulling each into one shape (tiers, limits, what is gated, what is bundled) so the market reads down a column instead of site by site.
  3. 03Pricing models taking that extracted market as input, so a proposed change can be tested before it is announced.
  4. 04A brief written on the differences, because the useful output is not the database. It is the handful of things that moved.
Ships with
  • The continuous readPricing pages, changelogs and reviews, on a cadence rather than a reminder.
  • The comparable marketEvery competitor in one shape, readable down a column.
  • Pricing modelsTest a change against the live market before announcing it.
What it does now In production

The market stays current without anybody rebuilding the spreadsheet, and a price change can be tested before it goes out.

What reaches a person is the difference since the last pass, rather than a database nobody has time to browse.

Taken over
  • The quarterly competitor sweep
  • Normalising pricing pages by hand
  • Pricing by argument rather than comparison

This one sits across Agents and orchestration and Applied research. Most engagements touch two.

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