LokKatha
The Digital Archive of Indian Folklore
What it does
Explore documented entities from Indian mythology and folklore — structured profiles, investigation case reports, and Hindi audio narration. Vetala, Yaksha, Churel, and more.
Does a similar job
all alternatives →- IAIthihāsas – a character explorer for Hindu epics, built in a few hoursApr 2026 · ithihasas.in · ▲176
Hi HN! I’ve always found it hard to explore the Mahābhārata and Rāmāyaṇa online. Most content is either long-form or scattered, and understanding a character like Karna or Bhishma usually means opening multiple tabs. I built https://www.ithihasas.in/ to solve that. It is a simple character explorer that lets you navigate the epics through people and their relationships instead of reading everything linearly. This was also an experiment with Claude CLI. I was able to put together the first version in a couple of hours. It helped a lot with generating structured content and…
- SASwaraNotebook – a notation editor for Indian classical music2023 · swaranotebook.com · ▲105
As an enthusiast of Indian classical music, I needed to write music notations in the traditional typeset format. When I didn't find any existing editors, I developed a Swara Notebook, a mobile focused web app to write North Indian Classical (Hindustani) music notations. The notes (called Sargam, similar to Solfege) can be written in English, Devnagri and Bangla scripts. The transcribed song can be played back in 6 different rhythmic cycles (Taal) to the accompaniment of the Tabla(a type of drum) or a metronome. Here's an example of a transcribed song…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com