Show HN: I built an app to convert ChatGPT Deep Research to PDFs with footnotes https://ift.tt/mf3o5Uw

Show HN: I built an app to convert ChatGPT Deep Research to PDFs with footnotes Whilst ChatGPT Deep Research is very useful for generating in-depth reports, it's time consuming to copy, reformat the text (thousands of words) and clean referenced hyperlinks for use in a professional context. Out of frustration, I built deep research docs to help save time by automating the reformatting, cleaning links, footnote references, and conversion to shareable PDF format. Hopefully this helps you save time to focus on meaningful work. Let me know your feedback. https://ift.tt/HuZYoqL March 1, 2025 at 06:22PM

Comments

Post a Comment

Popular posts from this blog

Show HN: Agent File (.af) – An open file format for agents https://ift.tt/fzI5HcG

Show HN: Agent File (.af) – An open file format for agents Hi HN - We’re building Agent File (.af), which makes it possible to re-create the exact same agent (including memories, tools, message history, configs, etc.) across different machines. A big difference between LLMs and agents is that agents have associated state: system prompts, editable memory (personality and user information), tool configurations (code and schemas), and LLM/embedding model settings. While you can run the same LLM as someone else by downloading the weights, there’s no “representation” of agents that allows you to re-create an instance of an agent across services. Agent File (.af) is an open standard file format for serializing stateful agents. Originally designed for the Letta framework, .af is a human-readable representation of all the associated state of an agent to reproduce the exact behavior and memories. To demonstrate .af, we also made a few example agents with download links to .af: - MemGPT: An agen...
Read more

Show HN: Attach Gateway – one-command OIDC/DID auth for local LLMs https://ift.tt/crSdltX

Show HN: Attach Gateway – one-command OIDC/DID auth for local LLMs We’ve been building local and on-prem agent workflows for open-source LLMs. Engines like Ollama or vLLM ship with no auth, so every team ends up writing the same JWT proxy. Attach Gateway is a single process that sits in front of any model server and handles the boring bits: - verifies OIDC / DID JWTs - adds X-Attach-User and X-Attach-Session headers so downstream agents share the same identity - optional /a2a/tasks/send endpoint for Google-style A2A hand-offs - mirrors prompts + completions to Weaviate (runs in Docker) One `pip install attach-dev`, export a token, run `attach-gateway`, and your local Ollama is protected in under 60 seconds. Repo: https://ift.tt/fxpmaiE PyPI: https://ift.tt/N9Jhatm Would love feedback – especially from teams doing multi-agent or on-prem work. https://ift.tt/fxpmaiE June 30, 2025 at 11:38PM
Read more

Show HN: Sort lines semantically using llm-sort https://ift.tt/7vEeHKP

Show HN: Sort lines semantically using llm-sort This is a small plugin I made for Simon Willison's llm utility. You can do things like: cat names.txt | llm sort -q "Which one of these names is best for a pet seagull?" cat books.txt | llm sort -q "Which book is more related to basic vs. advanced CS topics?" I see a lot of potential marrying LLMs with classic UNIX interfaces. https://ift.tt/9GDceOu February 11, 2025 at 08:55AM
Read more