Testing Thursdays is an open-source founder acceleration system for helping builders move from assumptions to real market evidence faster.
The goal is not to maximize meetings, features, or feedback volume. The goal is to help founders reach the next meaningful market milestone safely and quickly.
DEFINE END STATE → IDENTIFY CONSTRAINT → TEST / BUILD / SELL → SHIP → REACH USERS → MEASURE → LEARN → DECIDE → REPEAT
- validate an idea before overbuilding it;
- get an MVP in front of users faster;
- improve QA and usability testing;
- prepare a product for production;
- find first users or customers;
- improve activation, retention, pricing, or distribution;
- run founder accountability and breakout sessions;
- facilitate a Testing Thursday chapter or similar founder lab;
- use AI tools to audit products, codebases, screenshots, tests, and feedback;
- know what not to work on yet.
START-HERE/FOUNDER-ROUTER.md— determine stage, constraint, and next move.founder-os/WEEKLY-FOUNDER-CARD.md— run a weekly founder operating cadence.stage-gates/README.md— define what “ready for the next stage” means.blockers/BLOCKER-DIAGNOSTIC.md— identify the true constraint.facilitators/WEEKLY-RUNBOOK.md— run the event.project-types/— use the pack closest to your product.
- Evidence beats opinions.
- Founders should define success before asking for feedback.
- Humans test human problems; machines should catch machine problems where possible.
- Observe before prescribing.
- Give testers goals, not click instructions.
- Every serious bug should improve the regression suite.
- Separate launch blockers from post-launch polish.
- Every week ends with a concrete commitment and deadline.
- Return with evidence, not a vague status update.
- Installing tools is not progress; learning, shipping, selling, and retaining users are progress.
- Distribution begins before the product feels finished.
- Scale only after the core value and operating loop are understood.
- The safest useful exposure level is usually better than indefinite private building.
- AI can improve the testing process; AI is not a substitute for real users.
- Higher-risk products require stricter launch and expert-review gates.
START-HERE/— routing and quick-start guidesfounder-os/— weekly founder execution systemstage-gates/— idea-to-growth readiness gatesvalidation/— interviews, waitlists, smoke tests, concierge MVPsusers/— recruiting and finding target usersgtm/— B2B/B2C distribution and go-to-markettesting/— human testing methods and tester trainingqa/— functional, exploratory, regression, visual, and automated QAai/— AI-assisted audits, QA, feedback synthesis, and coding-agent workflowsproduction-readiness/— release, observability, security, rollback, supportapp-store/— mobile launch, metadata, screenshots, ASOpaywalls/— monetization and subscription-state testinganalytics/— activation, funnels, retention, event taxonomyfeedback/— feedback quality, schemas, prioritizationskills/— founder micro-skillsblockers/— common execution bottleneckspitfalls/— common founder failure patternsproject-types/— product-specific test and launch packsfacilitators/— how to run high-quality sessionsbreakouts/— repeatable session formatsaccountability/— commitments, buddies, checkpointschapter-kit/— replication and chapter operationsprogram-operations/— metrics and program improvementtools/— tool-selection guidanceprompts/— copyable prompts for AI-assisted worktemplates/— reusable worksheets and forms
This repository is educational and operational guidance, not legal, medical, security, financial, accounting, or regulatory advice. High-risk areas such as payments, sensitive data, security, regulated products, health, and compliance should be reviewed by appropriately qualified professionals where needed.