The second brain for
software engineers
Upload code, docs, PDFs, and API references. Blvcknoise indexes everything into a knowledge graph so you can ask questions, generate plans, and get answers grounded in your own sources.
Sources
Try asking
Trusted by engineering teams at fast-moving companies
Everything your context needs a home for
One knowledge graph across every source your team touches — searchable, explainable, and always cited.
Ask anything, get cited answers
Natural language questions return grounded answers with links to the exact file, page, or line. No hallucinations, just your knowledge.
Connect GitHub repos
Sync repositories and keep your knowledge graph fresh on every push.
Knowledge graph
Entities and relationships automatically extracted across all sources.
Understands anything
Code, PDFs, screenshots, API specs — all indexed and searchable.
Instant search
Semantic search returns the right chunk in milliseconds.
From upload to answer in three steps
Ingest your sources
Drag and drop files or connect a repository. We handle code, PDFs, images, and API references.
We index everything
Sources are chunked, embedded, and linked into a private knowledge graph for your workspace.
Ask in plain language
Get answers, summaries, and implementation plans — every one grounded in your own sources.
The context tax, eliminated
“It replaced three Notion searches and a Slack archaeology session with a single question. New hires ramp in days, not weeks.”
“The citations are the killer feature. I finally trust an AI answer because I can click through to the exact line of code.”
“We connected our monorepo and asked "how does billing work?" — got a perfect summary with links. Mind blown.”
“Implementation plans grounded in our actual architecture save me an hour of doc-diving before every feature.”
“Onboarding used to mean weeks of Slack questions. Now the second brain answers before anyone has to ask.”
“Blvcknoise is the first AI tool my whole team actually kept using after the trial. It just works.”
Simple, scalable pricing
Start free. Upgrade when your knowledge base grows.
Hobby
For solo developers exploring their second brain.
- 1 workspace
- 200 indexed documents
- Natural language search
- Code & PDF understanding
- Community support
Pro
For engineers who live in their knowledge base.
Billed $240 yearly
Billed monthly
Start trial- 5 workspaces
- 5,000 indexed documents
- GitHub repository sync
- Implementation plan generation
- Citations with source links
- Priority indexing queue
- API access
Team
Shared knowledge for the whole engineering org.
Billed $790 yearly
Billed monthly
Start trial- Unlimited workspaces
- 50,000 indexed documents
- Role-based access control
- Workspace collaboration
- Shared conversation history
- Advanced analytics
- SSO & audit logs
- Dedicated support
Enterprise
Self-hosted, private, and infinitely scalable.
- Everything in Team
- On-prem / VPC deployment
- Custom embedding models
- SLA & 24/7 support
- Security review & DPA
- Unlimited seats
Questions, answered
Never. Your sources are used only to answer your own questions. Data is encrypted at rest and isolated per workspace. We do not use your content to train any model.
Source code in any language, PDFs, Markdown, plain text, images and screenshots, and API specifications like OpenAPI and GraphQL. You can also connect GitHub repositories directly.
Every answer links back to the exact source it was drawn from — the file and line for code, or the page for documents. Click any citation to jump straight to the source.
Yes. Invite teammates to a workspace with role-based access — owner, admin, editor, or viewer. Conversation history and knowledge are shared across the team.
Pro plans and above include full REST API access with scoped API keys, so you can query your knowledge base from CI, editors, or your own tools.
Enterprise customers can deploy Blvcknoise in their own VPC or on-prem, with custom embedding models and a signed DPA.
Ideas on context & AI
Why every engineering team needs a second brain
Context is the scarcest resource in software. Here is how a knowledge graph over your codebase changes the way teams ship.
Retrieval that actually cites its sources
Hallucinations are a trust problem. We walk through how Blvcknoise grounds every answer in the exact file and line it came from.
Indexing a monorepo without melting your laptop
A deep dive into incremental indexing, chunking strategies, and the embedding pipeline behind large repositories.
Give your team a second brain
Start free. Index your first repository in minutes and never lose context again.