Venture Routes
Founder Original route vs three Dynamic Resonance Wedge–Bridge–Vision routes. The reviewer pool is investors, operators, and accelerator partners.
Venture remains the commercial wedge. OSS/developer projects, R&D directions, and product features make the method more general, less self-serving, and easier to validate with public or partner data.
Founder Original route vs three Dynamic Resonance Wedge–Bridge–Vision routes. The reviewer pool is investors, operators, and accelerator partners.
Which project, repo, or developer-tool wedge is most likely to earn real adoption? This track can use public signals from repos, packages, launches, and community activity.
Which research direction is novel, tractable, and likely to be accepted, reused, or extended? Domain reviewers define what credible progress means.
Which roadmap bet should be built next under sparse data and high opportunity cost? Best for partners who can provide private before/after product data.
| Track | Participants | Reviewer pool | Historical data | Live outcome |
|---|---|---|---|---|
| Venture | Founders, accelerator applicants, indie hackers | Investors, operators, accelerator partners | YC batches, old cohorts, as-of websites, fundraising histories | Qualified meetings, pilots, LOIs, funding, persistence |
| OSS / Developer | Developers, maintainers, hackathon builders | Senior developers, maintainers, DevRel, hackathon judges | GitHub, npm, PyPI, Devpost, Product Hunt, HN Show HN | Stars, forks, contributors, package downloads, integrations |
| R&D | PhDs, independent researchers, labs | Domain experts, reviewers, principal investigators | OpenReview, arXiv, Papers with Code, workshop histories | Acceptance, reviewer scores, citations, replication, follow-on work |
| Product | Startup teams, product leaders, portfolio companies | Product leads, customers, operators, growth leaders | Private roadmap histories, launch logs, analytics snapshots | Activation, retention, revenue, churn, usage, sales impact |
Track leads own domain fit, outcome definition, reviewer quality, and bias controls. The best collaborator brings one of three assets: a credible dataset, access to domain reviewers, or a live cohort of design partners.
The expected output is a protocol replication for the selected domain and, where appropriate, an optional commercial track after the research boundaries are clear.