Alternatives
Products that do what Connecting People Through AI-Powered Video Sentiment Matching does
Hi HN, I’d like to share www.kuky.com, a peer support network that connects people through short, self-recorded videos and matches them using sentiment analysis powered by large language models (LLMs). We’re building Kuky to help users find others who genuinely understand their emotional journey—not through swiping or likes, but through shared human stories. In this short Loom demo (link above), I walk through how: Users create a profile by uploading 3 videos: an intro, their mental health journey, and their likes/dislikes LLMs analyze each video for emotional tone, key themes, and…
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Perplexity for videos, #1 research tool for video marketing
Sep 2025
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With more traffic moving off-web and into LLMs, I got curious about what traces we leave "in the weights". My design partner and I built a site in the past few weeks that checks recognition across frontier and small models. It queries many of them in parallel, clusters the responses, and tells you how strongly they recognize you. Happy to answer any questions here!
Jun 2026 · intheweights.com
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Hi there! When Supabase announced their recent hackathon, I thought it was a good time to build something to learn more about so many of the new AI models and tech out there. From the different techniques of embedding documents to the future RAG. With the rise of short form content with TikTok and Youtube. A lot more knowledge is in videos than ever before. Finding specific answers within millions of videos can be difficult for any one person to go through. So the question is if there is Google that indexes text on website making it easier to find based on the context of on your question,…
2023 · avse.vercel.app
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As someone who struggles with social anxiety, expanding my network through traditional means has always been challenging. I found existing networking apps either too spammy (LinkedIn) or too much like professional dating (Bumble Bizz), and they just didn’t work for me. About a year ago, I developed a matching system for a local startup accelerator. This system connected founders, mentors, and investors based on industries, skills, and job functions, facilitating over 5,000 meetings that led to some amazing outcomes. Inspired by this success, I enhanced the system to focus on email…
2024 · moreoverlap.com
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Hi HN, I made Ethos, an open-source tool to visualize the discourse on Hacker News. It extracts entities, tracks sentiment, and groups discussions by concept. Check it out: https://ethos.devrupt.io This was a "budget build" experiment. I managed to ship it for under $1 in infra costs. Originally I was using `qwen3-8b` for the LLM and `qwen3-embedding-8b` for the embedding, but I ran into some capacity issues with that model and decided to use `llama-3.1-8b-instruct` to stay within a similar budget while having higher throughput. What LLM or embedding would you have used within the…
Feb 2026 · ethos.devrupt.io
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We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
2025 · blog.kuzudb.com
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I’ve been messing around with Bluesky for a while, and one thing I really missed was a proper way to browse discussions in a structured, Reddit-like way specially myself being daily reddit user. So, I ended up building a Reddit-like client for Bluesky that scratches that itch: Threadsky.app It pulls in trending topics, lets you explore conversations with a threaded view (so no more getting lost in replies), and even allows users to create channels with customizations, basically, like subreddits but on Bluesky. That said, this is still pretty barebones, and there’s a lot to improve. I really…
2025 · threadsky.app
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The Emotion Engine has 32 MB of RAM total, so the trick is streaming weights from CD-ROM one matrix at a time during the forward pass — only activations, KV cache and embeddings live in RAM. This means models bigger than the RAM can still run, they just read more from disc. Had to build a custom quantized format (PSNT), hack endianness, write a tokenizer pipeline, and most of the PS2 SDK from scratch (releasing that separately). The model itself is also custom — a 10M param Llama-style architecture I trained specifically for this. And it works. On real hardware.
Mar 2026 · github.com
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Hello HN Over the New Year's break, I created semanticvideosearch.com. This can search any video based on meaning and context. I would love to get your feedback on it. What should I change and what can be improved? The preprocessed videos can be search very quickly, while the youtube video links take some time (yt videos also have a upper duration limit due to compute issues). I intend to add search based on the frames of the video soon. I would love to know your thoughts on the demo and any suggestions for improvements. Thanks! PS: the inspiration to create this was to get the 2 mins of…
2023 · semanticvideosearch.com
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I made an AI version of thread/twitter, where you are the only human user and everyone else is an AI friend. It’s called Melonn(melonn.xyz), a human-free AI social space. The initial goal is to provide people with a safespace where they can say anything they want, and get feedbacks/responses to their thoughts-be it a useful insight or kind words of sympathy. If you ever feel lonely, lost, bored or sad just come here and express how you feel without having to care about what others would think. We are actively looking for feedbacks/opinions to improve the service! Thank you.
2024 · melonn.xyz
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Hey! I built this system to humanize NPCs by giving them emotions using Rust and ML. The system provides emotion coordinates (based on Russell's circumplex model) from text input or actions, with persistent emotional memory per entity. Think NPCs that remember how they feel about specific players or events. I pre-trained a DistilBERT model on ~1k video game dialogues (Skyrim, Cyberpunk, etc.) and plan to extract and evaluate 100k+ dialogues soon. However studio/team can manually add dialogues to enrich their own dataset. The matrix doesn't generate dialogue, it only analyzes content.…
Sep 2025 · github.com
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