Alternatives
Products that do what Semsearch – Embedding-first indexing and search engine for indle blogs does
Live instance: https://semsearch.blog/ Write-up: https://ycao.net/posts/creating-semsearch (submission: https://news.ycombinator.com/item?id=49155055)
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2013 · sotosearch.com
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2013 · insightdatascience.com
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2019 · search.feedi.me
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2016 · deusu.org
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Hey folks, Elias here. Excited to unveil my latest project. Why I Built This: Traditional keyword search isn't cutting it. I've used LLM-embeddings to provide more nuanced, relevant results. How It Works: LLM-embedding similarity on curated datasets for semantically similar results. No need to iterate over keywords any more. Current Datasets: - YC Companies - Show HN Posts, - Ask HN Posts - ProductHunt Startups - Github Top 200k Repos Use Cases: - Validate a product idea's existence - Check if someone already Asked HN something - Have fun - search random terms and see what pops up Want to…
2023 · payperrun.com
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2021 · lindylearn.io
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2017 · github.com
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2019 · bitbucket.org
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2013 · github.com
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2013 · github.com
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Hi HN! As someone who reads tons of blogs, I've always gravitated toward posts that let me click something, be it a simple quiz or even a mini-game or a simulation. There have never been many of such blogs since developing custom elements requires coding knowledge. I believe that's no longer the case in the AI era. I'm building a tool that allows you to create any interactive embed you can imagine by simply chatting with AI: * A quiz of any format and outcome: https://embedex.io/blog-demo#quiz-ai * A working drum machine:…
Sep 2025 · embedex.io
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2020 · getsupersimplesearch.com
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User Embeddings lets you build user-intent AI agents, hyper-personalized semantic search, and bring up-to-date information to GenAI applications in a personalized way. Docs: https://firstbatch.gitbook.io/firstbatch-sdk/ If you are a YC company , you can get User Embeddings free for a year by signing up here: https://www.firstbatch.xyz/subscribe
2023 · userembeddings.firstbatch.xyz
- 21IM
Hey HN, I’m a solopreneur and have been in the SaaS space for the past 3 years. My last three startups failed, and a common challenge in all of them was figuring out how to reach my audience. SEO always seemed like the answer, but I didn’t know where to start. It felt overwhelming—so many technical terms like keyword research, clustering, SERP, semantics, topical authority… I could go on. That’s where my idea for my next startup came from: building an all-in-one SEO tool that’s easy to use and understand. The complexity of SEO is hidden behind a simple UI, and the only thing users need to do…
2025 · babylovegrowth.ai
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2015 · searchexplorer.com
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Introducing embeds.ai: an embedding playground to compare how embedding models work on a real world use case (retrieval augmented generation for Wikipedia articles + Elad Gil's High growth handbook) A few weeks ago, Shreyan and I were looking for an embedding model to use for RAG. We eventually came across the MTEB leaderboard, but we struggled to understand the benchmark scores. We wanted a tool to test various embedding models with example queries on real-world datasets. After unsuccessfully looking for such a “playground”, we decided to just build one ourselves! We embedded HuggingFace’s…
2023 · embeds.ai
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Hey HN! My brothers and I have worked on this for the last 2 weeks. We use OpenAI's `text-embedding-ada-002` model to embed queries and a vector database to search for similar verses / blocks of verses. We'd like to see what you think and appreciate any feedback!
2023 · siliconscripture.org
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