{"id":50392655,"url":"https://github.com/savvides/edtechfounderstack","last_synced_at":"2026-05-30T19:00:53.632Z","repository":{"id":354284360,"uuid":"1197671852","full_name":"savvides/edtechfounderstack","owner":"savvides","description":"10 AI skills for edtech founders. 376 peer-reviewed papers. 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Is there real demand or just polite interest? What evidence does a district actually require before it buys? How does higher-ed procurement really work, and how long does it take? Is your AI load-bearing or decorative? Most founders answer these by Googling for weeks, or by guessing.\n\nThis repo puts the answers in one place: a curated body of knowledge you point your AI tools at — Claude Code, Cursor, ChatGPT — or just read. It's grounded in peer-reviewed learning science, real regulatory and market data, and lessons from operators who've actually done it. Not generic model training data that's a year stale.\n\nBuilt by ASU ScaleU, Arizona State University's edtech validation program. The higher-ed framework comes from \"Cracking Higher Ed,\" presented at SXSW EDU 2026.\n\n## Who it's for\n\nYou're building in edtech and the stakes are high. You need straight answers about demand, evidence, procurement, accessibility, pricing, and fundraising that account for how education actually buys — not startup advice written for consumer apps. This is the knowledge ScaleU gives its portfolio companies, written down and kept current.\n\n## What's inside\n\nEverything lives in `data/` as plain markdown, in four layers.\n\n### Learning science research — `data/research/`\n\nHundreds of peer-reviewed papers across the major learning-science topics: spaced repetition, cognitive load, formative assessment, adaptive learning, worked examples, the learning-styles myth, and more. Each paper carries its takeaway, study type, year, citation count, and DOI. When you tell a buyer or investor that something works, cite the paper, not a vibe. Index: [`data/research/README.md`](data/research/README.md).\n\n### Market \u0026 regulatory reference — `data/`\n\n- Competitive landscape by segment (K-12, higher ed, corporate L\u0026D)\n- K-12 privacy and compliance: FERPA, COPPA, state laws\n- Higher-ed landscape, procurement, and accessibility\n- Funding landscape by stage — who funds edtech and what they require\n- Buyer personas, pilot benchmarks, and the ESSA evidence tiers (1–4)\n\n### ScaleU frameworks\n\n- **AI-native vs. bolted-on** — is your AI load-bearing or decorative ([`data/ai-native-framework.md`](data/ai-native-framework.md))\n- **Higher-ed jobs atlas** — validated jobs across the student journey, with saturation analysis showing where everyone's already crowded ([`data/higher-ed-jobs-atlas.md`](data/higher-ed-jobs-atlas.md))\n- **Founder traps** — the structural patterns founders miss ([`data/founder-traps.md`](data/founder-traps.md))\n- **The ethos** — seven principles, starting with \"validate demand, not interest\" ([`ETHOS.md`](ETHOS.md))\n\n### Operator playbooks — `data/operator-lessons.md`\n\nDozens of field lessons on validation, product, go-to-market, sales, pricing, pilots, fundraising, and team — distilled from operators and investors on Lenny's Podcast and Lenny's Newsletter, and mapped to selling into schools, universities, and L\u0026D. Practitioner experience, attributed and paraphrased; the research corpus is the evidence layer.\n\n## How to use it\n\nPoint your AI tool at the repo — or at the one file that fits your decision — and ask. The markdown is written to be read by a model or a person.\n\n```bash\ngit clone https://github.com/savvides/edtechfounderstack.git\n```\n\n- **Claude Code / Cursor:** open the repo and ask; the agent reads the relevant `data/` files.\n- **ChatGPT / Claude:** paste the file that fits your question, or upload the repo.\n- **Reading it yourself:** start with [`ETHOS.md`](ETHOS.md) for the worldview, [`data/operator-lessons.md`](data/operator-lessons.md) for the playbooks, or [`data/research/README.md`](data/research/README.md) for the evidence base.\n\nBecause it's markdown you can audit, every claim traces to something you can check — a named regulation, a paper with a DOI, a named operator.\n\n## About ASU ScaleU\n\n[ScaleU](https://scaleu.asu.edu) is ASU's edtech validation program. We take 1% equity in early-stage startups in exchange for controlled access and a paid pilot at Arizona State University — the kind of evidence you need to fundraise and sell at enterprise scale. If running an institutional pilot is your next step, that's what we do. [Learn more](https://scaleu.asu.edu) or [apply](https://scaleu.asu.edu/apply).\n\n## Contributing\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for how to help, and [ARCHITECTURE.md](ARCHITECTURE.md) for how the knowledge base is laid out. We're always after better regulatory data, new buyer personas, and more peer-reviewed research. For research, follow the table format in `data/research/` and sort by citation count.\n\n## License\n\nThe repository's original content is **MIT** — use it however you want.\n\n**Exception:** [`data/operator-lessons.md`](data/operator-lessons.md) is **not** covered by MIT. Those lessons are paraphrased from the free public archive of Lenny's Podcast and Lenny's Newsletter under its personal/non-commercial terms, so treat that one file as personal, non-commercial use only, not for commercial reuse. See the note at the bottom of the file.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsavvides%2Fedtechfounderstack","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsavvides%2Fedtechfounderstack","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsavvides%2Fedtechfounderstack/lists"}