Alternatives
Products that do what Elphame does
Learn faster by diving deep into rabbit holes
- 1

- 2

- 3

- 4LU
Hey HN! Lathe is an experiment in using LLMs to teach me something new, instead of doing the work for me. It generates a hands-on, source-backed tutorial for any technical topic you want to learn. Then you work through it yourself by reading and typing the code by hand (gasp) in a local UI built for exactly that. It's a Go CLI plus LLM agent skills (Claude Code / Cursor / Codex). You prompt something like "/lathe build a 3D slicer in Erlang", run `lathe serve` to spin up a local webapp, and read it in your browser. Every tutorial comes with the things that have made…
Jun 2026 · github.com
- 5

- 6MA
2025 · gitea.bubbletea.dev
- 7

- 8RHRabbit Holes▲43
Built a way to spatially explore wikipedia topics! Enter a topic of your choice and dig into the rabbit hole. All content is from Wikipedia—related topics are generated with GPT based on the summary. Spacebar to expand a topic inline, arrow keys to move around, and "J" to open journey view!
2024 · rabbitholes.wiki
- 9

- 10

- 11

- 12

- 13

- 14

- 15

- 16

- 17

- 18IB
I built Yourabbit.com — a site that curates hand-picked YouTube rabbit holes grouped by themes like quirky psychology, obscure tech, weird facts, and binge-worthy oddities. It’s not driven by the YouTube algorithm — every collection is themed and curated manually (for now), with a backend I’m automating to fetch and organize new rabbit holes daily. Built as a hybrid Astro + Next.js project, optimized for static generation and speed. I’m also pairing videos with custom summaries and commentary (using AI), and would love feedback from the HN crowd on: Content model (too wide? not specific…
2025 · yourabbit.com
- 19UD
We can now build drastically higher quality search because we can use LLMs in algorithms that mimic a human's systematic research process, instead of just roughly recommending results based on semantic embeddings or term frequency. We built a deep search LLM pipeline that takes a few minutes to carefully search all the scientific literature. You describe your complex goal, as you would to a colleague. Then, we carefully search 200M+ papers. We classify the preliminary results with GPT-4. We then adapt the search goals based on relevant/irrelevant papers uncovered and continue searching,…
2024 · undermind.ai
- 20

- 21LA
Hi HN! I'm Nicolas, co-founder of Lume, a seed-stage startup (https://www.lume.ai/). At Lume, we use AI to automatically transform your source data into any desired target schema in seconds, making onboarding client data or integrating with new systems take seconds rather than days or weeks. In other words, we use AI to automatically map data between any two data schemas, and output the transformed data to you. We are live with customers and are just beginning to open up our product to more prospects. Although we do not have a sandbox yet, here is a video walkthrough of how…
2023 · lume.ai
- 22

- 23

- 24

Ranked by how close each launch is in meaning, then by votes. Refine with a description →