You've shipped something before. It didn't convert the way you expected. Now you're building again – and this time you want a process, not a pep talk. Pre-Sell OS is a decision-rule-driven validation system built specifically for technical solo founders who are done guessing. It takes you from reading raw signals on Reddit, Product Hunt, and niche forums all the way through lightweight paid experiments, and ends at a single, defensible output: proceed, pivot, or kill – with the evidence to back it up. There's no gut feel required. Every stage has a rubric, a scoring method, or a pass/fail rule. You'll know what counts as a real pain signal versus noise. You'll know which experiment to run first and what budget is appropriate. And you'll know exactly when you have enough evidence to make a call – before you've written a line of production code. This is a complete operating system for pre-build validation, structured so that each component feeds the next. Signal scores flow into experiment selection. Experiment results flow into the evidence-sufficiency decision matrix. The matrix outputs one of three verdicts – Proceed, Pivot, or Kill – with the supporting evidence documented in a running log you maintain throughout the process. What's included: a system overview that maps the full architecture; weighted signal-scoring rubrics for Reddit, Product Hunt, and niche forums with red/yellow/green thresholds and worked examples; a signal interpretation guide covering noise, vanity engagement, and false positives; five paid-validation experiment templates each with a copy script, budget parameters, and explicit pass/fail decision rules; an evidence-sufficiency decision matrix that aggregates your scores into a final verdict; a running log template that connects every component into one living document; and a 30/60/90-day implementation plan that sequences the entire process from first signal read to final decision. Built for founders who have already shipped once and want a repeatable methodology – not motivation – for the next attempt.
What's included
- A three-component system overview that shows exactly how signal collection, paid experiments, and the decision matrix connect into a single end-to-end validation engine – so you understand the architecture before you execute any step
- Weighted signal-scoring rubrics for Reddit, Product Hunt, and forum research – with specific criteria for each platform so you can score what you find and compare signals across sources without relying on instinct
- A signal interpretation guide that distinguishes genuine pain from noise, vanity engagement, and false positives – including the specific patterns that fool founders into building things nobody will pay for
- Five lightweight paid-validation experiment templates, each with a script, a recommended budget range, and explicit pass/fail rules – so you know which test fits your situation and what result actually means you should keep going
- An evidence-sufficiency decision matrix that takes your accumulated signal scores and experiment results and outputs a structured Proceed, Pivot, or Kill verdict – removing the ambiguity that causes founders to overbuild on weak demand
- A running log template that serves as the integration layer across all three components – connecting your signal scores, experiment data, and matrix inputs into one living document you update as evidence accumulates
- A 30/60/90-day implementation plan that sequences every step from first signal read to final verdict – so you know what to do in week one and what milestone marks the end of the validation phase
