Keel – A schema-driven back end engine with Go and TypeScript

Hacker News

Hi HN, I’m one of the creators of Keel and we're excited (and nervous in equal measures) to be sharing this. We built Keel on two principles: 1. A backend is much more than just a database. A scalable backend platform should be grounded in engineering best practices and come complete with a full suite of services without having to wire 10 SaaS products together 2. A backend should not be an engineering black box and should be designed from day one to support the entire organisation over time and scale. Keel is a schema driven backend engine. Define your data model, api actions, permissions, events and jobs in type-safe schemas and get a production-ready backend. All the API plumbing, auth (OIDC/SSO) and core CRUD is handled automatically and you can extend everything with typescript (the core runtime is Go). Your schema actions and custom code are also instantly transformed into internal tooling UI for your whole org. The Keel platform deploys infrastructure based on your schema’s requirements. You get Postgres, serverless functions, event queues, cron jobs, secret management and multiple environments all wrapped up with OTEL compatible tracing. We’re very early but we’d love to hear any feedback! P.S. The Keel runtime is open source ( https://github.com/teamkeel/keel ) and can be self hosted. The Keel platform then provides fully managed infrastructure and internal tooling. We’ll be launching a BYOC option soon.

Visit product View on Hacker NewsMar 12, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, code, open · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, open source, ide · Missing: https docs, just released, exist

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nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, soon · Missing: plus, intuitive, reviews

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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