Alternatives
Products that do what My related-posts finder script (with LLM and GPT4 enhancement) does
I've open-sourced the script I use to find related blog posts (and to describe why they're similar). Works on any set of markdown articles, so should fit into any SSG workflow. Uses embeddings to calculate the similarities, and GPT4 to add descriptive text.
- 1IM
My partner usually writes substack posts which I then mirror to our website’s blog section. To automate this, I made a simple tool to scrape the post and clean it so that I can drop it to our blog easily. This might be useful to others as well. Oh and ofcourse you can instruct GPT to make any final edits :D
2024 · markdowndown.vercel.app
- 2AT
2019 · anvaka.github.io
- 3WS
We’ve trained a generative AI model to browse the web and answer questions/retrieve code snippets directly. Unlike ChatGPT, it has access to primary sources and is able to cite them when you hover over an answer (click on the text to go to the source being cited). We also show regular Bing results side-by-side with our AI answer. The model is an 11-billion parameter T5-derivative that has been fine-tuned on feedback given on hundreds of thousands of searches done (anonymously) on our platform. Giving the model web access lessens its burden to need to store a snapshot of human knowledge…
2022 · beta.sayhello.so
- 4CE
2022 · github.com
- 5IM
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
2024 · papermatch.mitanshu.tech
- 6MM
2024 · markwhen.com
- 7RT
I built a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web. It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up. Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful. Live demo: https://yandori.io/news-flow/
Nov 2025 · yandori.io
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- 9AO
Inspired by the design and UI/UX of apps like Notion, and utility of open-source apps like StackEdit, I decided to create a minimalistic, local-only WYSIWYG Markdown editor. Some features worth highlighting: - Monaco editor and Prettier integration for code snippets - Tables (apparently the holy grail of WYSIWYG editing) - Embeds (for CodePen, CodeSandbox and YouTube, most useful for HTML or JSON exports) - Accepts Markdown paste-in, and "exports"/generates HTML, Markdown and JSON outputs - Collaboration (with real-time awareness and initial commenting system, available only when…
2023 · editor.vrite.io
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- 11MM
I've been working on markwhen for a bit as a way to create timelines and calendars from plain text, like markdown. I personally like tools that let you immediately start using them, and I set out to do that here with markwhen. Let me know if you have any questions or feedback!
2023 · app.markwhen.com
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Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…
2023 · perplexity.vercel.app
- 14AK
I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…
Apr 2026 · github.com
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- 16PT
I've developed a Python API service that uses GPT-4o for OCR on PDFs. It features parallel processing and batch handling for improved performance. Not only does it convert PDF to markdown, but it also describes the images within the PDF using captions like `[Image: This picture shows 4 people waving]`. In testing with NASA's Apollo 17 flight documents, it successfully converted complex, multi-oriented pages into well-structured Markdown. The project is open-source and available on GitHub. Feedback is welcome.
2024 · github.com
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I developed a small tool to find RSS feeds for websites. You can try it out here: https://lighthouseapp.io/tools/feed-finder In >90% of cases the standard way of checking meta tags is enough to find the feeds. But my goal for this tool is that it finds feeds regardless if they're linked somewhere or not. That if this feed finder doesn't find a feed, no feed exists. It's a big goal and admittedly not there yet, but it does a few things that are a step in that direction. * Checks meta tags of parent pages (sometimes the article itself doesn't have the meta tag, but the main…
2024
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- 22KG
Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…
2025 · theophilecantelob.re
- 23IB
A few weeks ago a friend sent me grug-brain XSLT (1) which inspired me to redo my personal blog in XSLT. Rather than just build my own blog on it, I wrote it up for others to use and I've published it on GitHub https://github.com/vgr-land/vgr-xslt-blog-framework (2) Since others have XSLT on the mind, now seems just as good of a time as any to share it with the world. Evidlo@ did a fine job explaining the "how" xslt works (3) The short version on how to publish using this framework is: 1. Create a new post in HTML wrapped in the XML headers and footers the framework…
2025 · vgr.land
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