studies.dev
studies.dev is a short, brandable domain that signals tech credibility and quickly positions you as an educational or developer-focused authority. Its memorability and niche .dev extension boost trust, SEO potential and resale value for a solopreneur.
Estimated Resale Value
Business Idea
Platform for engineering teams to design, run, track and publish reproducible developer studies and experiments with templates and versioning.
Dev teams lack standard tooling to run controlled experiments, reproduce results, and store methodology across projects and time.
Engineering teams, developer researchers, DX teams, engineering managers, and research-oriented startups.
Hosted lab with experiment templates, versioned datasets, tracking, collaboration and publication tools delivered as SaaS.
Growing emphasis on data-driven developer productivity and reproducible research inside engineering orgs increases demand for standard tools.
SaaS subscriptions, enterprise plans, private hosting, paid experiment templates, premium publishing and professional services.
studies.dev directly communicates reproducible developer studies and positions the site as the authoritative lab domain.
Business Idea
Curated marketplace of in-depth engineering case studies, migration guides, postmortems and executable playbooks for dev teams.
High-quality, actionable engineering case studies are scattered; teams waste time finding vetted examples to copy or adapt.
Engineers, tech leads, CTOs, technical writers, bootcamps, hiring teams and consulting firms seeking real-world patterns.
Searchable library of curated, peer-reviewed case studies and editable playbooks with licensing for internal use.
Companies publish more engineering content and teams want validated, practical examples they can legally reuse and adapt.
Paid case study purchases, subscription access, enterprise licensing, sponsored content, freelance/consultant referrals.
studies.dev is a concise, memorable brand promising developer-focused studies and curated engineering knowledge.
Business Idea
Toolchain that treats research and experiments as code: experiment manifests, CI pipelines, notebooks, reproducible artifacts and dashboards.
Technical experiments are ad-hoc, poorly documented and hard to reproduce, slowing learning and causing wasted effort.
Developer researchers, ML engineers, product teams running technical experiments, and platform teams enabling reproducibility.
Integrates with VCS, CI, data stores and dashboards to make experiments repeatable, auditable and automatable across teams.
Rise of infrastructure-as-code, MLOps and reproducibility expectations makes codified, pipeline-driven studies practical and valuable.
Tiered SaaS, enterprise integrations, premium connectors, compute credits, training, support and migration services.
studies.dev succinctly brands an engineer-friendly 'studies as code' platform that developers will trust and adopt.