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Compound Creation + Theory Table (Combo)
Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.
Look it up, then solve it — the compound data and the full pH theory table packaged with the problem-solver engine as one working unit.
Why this exists — the intent
The intent is to pair raw compound data with the exhaustive pH theory table and the engine that puts them to work — so you are not just referencing chemistry, you are getting candidate approaches to real problems, ranked for you to evaluate.
What you actually receive
- The 31-compound dataset + the full 116-landmark pH theory table (CSV + JSON)
- The problem-solver engine (Python source): 10 worked problems, 19 ranked solutions
- Complete environmental profiling for every landmark
- 256-power computed expansion + standard derived metrics + documentation
The outcome — what you can do with it
- Reference + solve in one place: matched candidate approaches for common problems
- Each proposed solution comes with an estimated confidence and safety score to sort your options
- A combined resource for ideation, teaching, and structured problem framing
⚖️ Faithful scope — what this data actually is (so nothing is overstated):
| Reference data | The pH values are real, publicly-known reference ranges for common substances, organized and cross-referenced. |
| Computed values | The large 'data point' counts come from mathematics applied to the reference values (e.g. raising a pH across many powers, plus standard derived acid-base metrics). They are arithmetic expansions for exploration, not individual laboratory measurements. |
| Estimated scores | Danger, safety, success-probability and productivity scores are the author's heuristic model estimates on a defined scale — useful for ranking and ideation, not lab-certified results. |
| Solver output | The problem-solver proposes landmark combinations with estimated success and safety scores for ideation and triage. They are not tested procedures and must not be followed as lab instructions without qualified review. |
Why the price is $1.2M
The $1.2M design-target asking price is a combo: two full projects (60 + 61) plus the solver engine, offered together for less than buying those pieces individually. Straight talk: the solver's confidence and safety scores are estimates to help you rank ideas, not lab-verified protocols — the value is the combined, working toolkit. Asking price for an exclusive bundle, not an appraisal.
Exactly what you receive: a digital data + software deliverable — the dataset files (CSV and JSON), any Python source noted above, and written documentation, delivered by digital download/email. Your purchase includes a license to use these deliverables. It does not transfer or license any patent or intellectual-property rights, and it is not a stake in any company.
How the price was set (in plain terms): the figure below is the inventor's design-target asking price for an exclusive, premium research deliverable. It reflects the scope and originality of the work described above and the inventor's chosen positioning. It is not a third-party appraisal, an audited valuation, or a claim of realized or guaranteed resale value. It is an asking price — offers and licensing discussions are welcome by email.
📅 Description authored & last edited: 2026-07-07 at 19:45 (inventor's local time). Sales & support by email. Availability: USA only. © 2026 Christopher Gabriel Brown. All rights reserved.
