Peaka is a Zero-ETL Data Platform that enables you to build a data stack in minutes instead of months.

With Peaka, you can integrate relational and NoSQL databases, SaaS tools, and APIs— all without a data warehouse or ETL processes.

Some additional highlighted features:

• Create new datasets and expose them by creating API endpoints.
• Cache/sync historical data with one click at table granularity. No need to sync the whole data.
• Create virtual data marts from scattered data and share them with teams in a minute.
• Ingest streaming data by creating webhooks. Data buffering and bulk inserts are handled automatically.

DeepDocs is a GitHub AI agent that automatically keeps your docs like API documentation, SDK guides, and tutorials in sync with your codebase, so you never have to manually update them again.

Key Features

• Continuous Documentation: Automatically detects and updates out-of-sync docs whenever your codebase changes—no manual effort required.

• Intelligent Updates: Preserves your existing doc format and structure without rewriting from scratch.

• Deep Scan: Scans your entire repository to fix broken docs.

• Syncs Everything: Supports every type of documentation—from single files to full directories, across monorepos or separate docs repos.

• GitHub Native: Integrates smoothly into your GitHub workflow and works with tools like Mintlify or Docusaurus.

• Privacy First: Your code repositories are never stored on our servers—only processed ephemerally when needed.

Benefits

• Save Time: Stop wasting time updating API docs, and user guides after every change. DeepDocs handles it automatically for you.

• Delight Your Users: Whether it’s internal team mates or external customers, your users will love you for keeping your docs accurate, complete, and always up to date.

• Prevent Documentation Drift: Keep your high-level docs tightly aligned with your evolving code, so nothing goes out-of-date or misleading.

• Ship with Confidence: Merge code without worrying about the docs. DeepDocs ensures your documentation keeps pace with your pull requests.