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Extract decisions, tasks, and insights from your AI conversations. Searchable knowledge library. No note-taking required.

Website, pricing, platforms and company facts side by side.
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| Website | codegres.org | ndledger.com |
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| Company | — | Startup from Australia · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Codegres.org yet.
NDLedger is an AI-powered knowledge library that extracts structured insights from your AI conversations. Paste a conversation from ChatGPT, Claude, Gemini, or any AI tool, and NDLedger automatically identifies decisions, tasks, insights, commitments, and pivots. Everything is organised into...
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As answered by people managing Codegres.org and NDLedger.
NDLedger's answer:
NDLedger is the only tool that takes your existing AI conversations and automatically extracts structured knowledge from them. You do not need to take notes, tag anything, or maintain a second system. Paste or record a conversation, and NDLedger pulls out the decisions, tasks, insights, commitments, and pivots, then organises everything into a searchable library with an interactive mind map.
NDLedger's answer:
Most knowledge tools require you to do the organising yourself. NDLedger does it for you. The AI reads your conversation, identifies what matters, categorises it, and makes it findable. Your original transcript is deleted after extraction for privacy. If you use AI tools daily and keep losing track of valuable outputs, NDLedger is built specifically for that problem.
NDLedger's answer:
Founders, operators, and knowledge workers who use AI tools like ChatGPT, Claude, and Gemini frequently and struggle to find past decisions, tasks, and insights buried in chat history. NDLedger is particularly valuable for neurodivergent professionals who need structure, clarity, and recall.
NDLedger's answer:
NDLedger was built by a solo founder in Australia who was diagnosed as neurodivergent at 54. After years of struggling to execute on ideas, a late ADHD diagnosis changed everything. NDLedger was built from scratch in under a month. It solves a problem the founder lived with every day: losing valuable thinking inside AI chat windows.
NDLedger's answer:
Next.js 14, Supabase, Claude Haiku (Anthropic), OpenAI Whisper, and Vercel.
Share your experience with using Codegres.org and NDLedger. For example, how are they different and which one is better?