Docup
Analyzes codebases and generates searchable documentation with vector embeddings and auto-sync from GitHub.
≈ 2visits/mo
Emerging · estimate, read 2026-09-19
- For
- Developers and teams building and maintaining code documentation from source repositories.
- Price
- Free plan · From $24/mopricing page, read 2026-09-20
- Activity
- Quietnothing dated on the site
- Company
- founding year not on record
- Runs as
- API
- Generate documentation automatically from GitHub repositories
- Maintain up-to-date docs synced with code changes
- Host documentation on custom domains with analytics
- #865
Amo.ng
Searchable library of structured prompts for coding, business, and workflow automation.
70 linking domainsActive— - #18
Kiro
Converts prompts into executable specifications and implements code with parallel agents that validate correctness.
32.7kActiveFrom $20/user/mo - #25
Devin
Executes software engineering tasks including code migrations, bug fixes, testing, and documentation generation across multiple repositories.
30.6kActiveFrom $20/mo - #27
Remy prompt
Builds websites, designs slides, and generates images through conversational AI.
30.9knot read— - #34
Nous Research
Trains and releases open source language models with infrastructure for distributed training.
33.7knot read— - #40
Replit
Builds and deploys web apps, websites, and agents from natural language descriptions.
278knot readFrom $20/mo
What is Docup?
Analyzes codebases and generates searchable documentation with vector embeddings and auto-sync from GitHub.
Who is Docup for?
Developers and teams building and maintaining code documentation from source repositories.
How much does Docup cost?
Docup has a free plan; paid plans start at $24/mo, per its pricing page on 2026-09-20.
Do people use Docup?
Emerging: ≈ 2 visits a month · estimate, 2026-09.
Is Docup still maintained?
Quiet.
What are alternatives to Docup?
In Developer tools, by use: Amo.ng, Kiro, Devin, Remy prompt, Nous Research, Replit.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.