LaunchStack
AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.
No outside reports on file
Use LaunchStack only with non-sensitive startup documents, keep the database locked down with strong access controls, and assume anything you upload could potentially be seen by the AI system or exposed if the server is compromised.
Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesReads local filesNOTED
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (Deodat-Lawson/LaunchStack)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/Deodat-Lawson/LaunchStack ↗
About LaunchStack
LaunchStack is a tool built with Next.js and LangChain that helps startup teams upload documents (like business plans, pitches, or research), organize them, and ask questions about them using AI. It can detect when important documents might be missing and extract insights from individual pages.
Who it’s for
Startup founders, accelerator programs, or investor teams who need to quickly search and understand large collections of startup documents. Teams working with many business plans or pitch decks at once.
Alternatives
- Danswer: Open-source document Q&A with better privacy controls and self-hosting options.
- Retrieval-Augmented Generation (RAG) systems: Custom setups using OpenAI API or local models for tighter control.
- Notion or Confluence: General document storage with built-in search for less technical teams.
- MindsDB: Database-focused tool for organizing and querying structured startup data.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README on GitHub for installation and setup instructions, as this is a full Next.js application with database requirements rather than a simple package install.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 894
- Listing last refreshed
- 2026-10-27
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-29).
Risks to watch for
- Document access: The tool reads all uploaded documents fully, so sensitive financial data, personal information, or trade secrets become visible to the AI system.
- Prompt injection: Attackers could hide malicious instructions inside PDF files or documents that trick the AI into revealing information or behaving unexpectedly.
- Data in AI models: Text from your documents may be processed by LangChain's backend services, potentially leaking confidential startup information.
- Database exposure: PostgreSQL stores all documents and chat history; if the database is misconfigured or breached, everything is exposed.
- Missing encryption: There's no mention of encryption for data at rest or in transit, so documents could be read during storage or transfer.
How to lower the risk
Least-privilege permissions
- Only grant database access to the LaunchStack application itself.
- Limit user accounts to read-only access unless they need to upload.
Network isolation
- Run LaunchStack on a private network, not publicly on the internet.
- Use a firewall to block external connections to PostgreSQL.
Monitoring
- Log all document uploads and AI queries for audit trails.
- Set alerts for unusual database access patterns.
Red flags to watch for
- Unexpected API calls to external services from the application.
- Large data transfers out of your PostgreSQL database.
- Error messages displaying full file contents or database queries.
Questions
How do I install LaunchStack?
LaunchStack does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Deodat-Lawson/LaunchStack.
Are there security reports about LaunchStack?
No reports found for this package in our research (last checked 2026-10-29). LaunchStack currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include document access, prompt injection, data in ai models.
Is LaunchStack actively maintained?
LaunchStack has 894 GitHub stars. Our directory data was last refreshed on 2026-10-27. Check recent commit activity, release tags, and open issues at github.com/Deodat-Lawson/LaunchStack before pinning it in production.
What are alternatives to LaunchStack?
Notable alternatives to LaunchStack include Danswer (Open-source document Q&A with better privacy controls and self-hosting options), Retrieval-Augmented Generation (RAG) systems (Custom setups using OpenAI API or local models for tighter control), Notion or Confluence (General document storage with built-in search for less technical teams), MindsDB (Database-focused tool for organizing and querying structured startup data). You can also compare LaunchStack side by side with other MCP servers in the Related tools section on this page.
README badge and team notes
Maintain or use LaunchStack? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/deodat-lawson-launchstack)HTML embed:
<a href="https://agentarmorhq.com/skills/deodat-lawson-launchstack"><img src="https://agentarmorhq.com/api/badge/deodat-lawson-launchstack" alt="AgentArmorHQ Risk Grade for LaunchStack" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "deodat-lawson-launchstack"Share with your security lead
Need sign-off to use LaunchStack? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: LaunchStack
- **Listing URL:** https://agentarmorhq.com/skills/deodat-lawson-launchstack
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 894 GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** Reads local files
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (Deodat-Lawson/LaunchStack)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Deodat-Lawson/LaunchStack
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- Deodat-Lawson
- Source code
- github.com/Deodat-Lawson/LaunchStack
- Est. context load
- ~750 tokens / turn (~4 tool schemas, 0.38% of 200k context)
- Popularity
- 894 GitHub stars
- Last updated
- 2026-10-27
- Last graded
- 2026-10-24
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