DADaggersDreaming·Apr 18, 2026Submission
Launchstack – Open-source knowledge layer that index your docs for Claude MCP
1 points · Open discussionDeodat-Lawson
LaunchStack
TypeScript2026–2026
Deodat-Lawson / LaunchStack
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.
Web DevelopmentSystems & InfrastructureProductivityAI & Machine LearningData & DatabasesSelf-hostedDevOps & CloudCommunication & SocialAutomation & Workflows
2Distinct people
2Mentions
0Explicit recommenders
897GitHub stars
What to know before exploring
What it is
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.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week2 dated mentions
Observed mentions: 2026-03-14 07:42:49 UTC to 2026-04-18 11:48:15 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Mar 9 | 2026-03-09 00:00:00 UTC | 2026-03-16 00:00:00 UTC | 1 | 1 | 0 |
| Mar 16 | 2026-03-16 00:00:00 UTC | 2026-03-23 00:00:00 UTC | 0 | 0 | 0 |
| Mar 23 | 2026-03-23 00:00:00 UTC | 2026-03-30 00:00:00 UTC | 0 | 0 | 0 |
| Mar 30 | 2026-03-30 00:00:00 UTC | 2026-04-06 00:00:00 UTC | 0 | 0 | 0 |
| Apr 6 | 2026-04-06 00:00:00 UTC | 2026-04-13 00:00:00 UTC | 0 | 0 | 0 |
| Apr 13 | 2026-04-13 00:00:00 UTC | 2026-04-20 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
2 sourcesShow HN: PDR AI – Open-source startup accelerator engine for non-technical chaos
Show HN: PDR AI – Open-source startup accelerator engine for non-technical chaos (marketing, PRDs, onboarding)
A couple weeks ago I shared PDR AI as an open-source tool for startup doc mess[](https://news.ycombinator.com/item?id=47258661). Since then I've doubled down on the core vision: it's not just another RAG chat—it's an AI-powered accelerator engine that helps technical founders skip the non-technical pitfalls and move faster.
As a solo technical founder, I wasted too much time on fragmented marketing plans, incomplete PRDs, onboarding docs, legal templates. PDR AI centralizes it all in a self-hostable knowledge base and actively accelerates progress by:
- Document Sanity Chekcer (Verifying the content validity and consistency in the documents, extracing key information)
- Marketing pipeline: Content ideas/trends for Reddit/X/Linked
Read the rest
In/Bluesky, optional web-enriched analysis.
- Team acceleration layer: Role-based access, invites, approvals, audit trails—great for small teams or accelerator cohorts reviewing docs.
- Real-time dashboard: Tracks usage, accuracy (~99% on samples), compliance gaps, productivity.
- RAG basics done right: Upload PDFs/Notion/Slack/GitHub exports, OCR support, pgvector semantic search, page-level citations, fast responses.
Fully open-source (MIT), self-host via Docker/Vercel, bring-your-own LLM keys (OpenAI/LangChain now; Ollama/local coming soon). No lock-in, full privacy.
Website: https://pdrai.online
Repo: https://github.com/Deodat-Lawson/LaunchStack
(formerly PDR_AI_v2; 788+ stars and growing)
Looking for:
- Indie founders / small teams using it to "accelerate" their non-tech side
- Accelerator programs / mentors testing it for cohort doc reviews
- Feedback: Does the accelerator framing land? What marketing/product workflows hurt most?
- Contributors: PRs/issues welcome, especially agent improvements or integrations