Dev tools · alternatives · 2026

24 alternatives to Corerec
corerec makes it easy to create recommender models.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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Personalized software recommendations based on your stack
2017 · siftery.com · its alternatives →
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TensorFlow 1.0▲823Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
- 5SM
2016 · sense2vec.spacy.io · its alternatives →
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LLMrefs▲314AI SEO Keyword Rank Tracker for LLM Search Engines
2025 · llmrefs.com · its alternatives →
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Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
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Thinc is a lightweight type-checked deep learning library for composing models, with support for layers defined in frameworks like PyTorch and TensorFlow.
2020 · thinc.ai · its alternatives →
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Neural Coref▲86State-of-the-art coreference resolution based on neural nets
2017 · its alternatives →
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ReSO AI▲510Get discovered & recommended when customers ask AI
Sep 2026 · resollm.ai · its alternatives →
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- 12SR
2015 · navlio.com · its alternatives →
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TopRecs▲66The power of recommendations from your trusted friends
2015 · toprecs.com · its alternatives →
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- 15RS
Nipun Batra — Associate Professor of Computer Science at IIT Gandhinagar, working on AI for sustainability and health.
2017 · nipunbatra.github.io · its alternatives →
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Hello HN, I'm Ghita, co-founder of ZeroEntropy (YC W25). We build high accuracy search infrastructure for RAG and AI Agents. We just released two new state-of-the-art rerankers zerank-1, and zerank-1-small. One of them is fully open-source under Apache 2.0. We trained those models using a novel Elo score inspired pipeline which we describe in detail in the blog attached. In a nutshell, here is an outline of the training steps: * Collect soft preferences between pairs of documents using an ensemble of LLMs. * Fit an ELO-style rating system (Bradley-Terry) to turn pairwise comparisons into…
2025 · zeroentropy.dev · its alternatives →
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Hello HN! I've built a web app that helps you discover new shows and movies you'll actually enjoy by: - Connecting to your Sonarr/Radarr/Plex instances to understand your media library - Leveraging your Plex watch history for personalized recommendations - Using the LLM of your choice to generate intelligent suggestions - Simple setup: Easy integration with your existing media stack - Flexible AI options: Works with OpenAI-compatible APIs like OpenRouter, or run locally via LM Studio, Ollama, etc. - Personalized recommendations: Based on what you actually watch. While it's still a…
2025 · github.com · its alternatives →
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Visual map of the top 50,000 subreddits by similarity
2017 · ponderinghydrogen.pythonanywhere.com · its alternatives →
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Hypelist▲250Discover personalized recommendations of everything you love
2024 · hypelist.com · its alternatives →
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Generate recommendations using collaborative filtering - asmuth/recommendify
2012 · github.com · its alternatives →
- 21WT
2020 · caboom.ai · its alternatives →
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2016 · github.com · its alternatives →
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SearchScore AI free▲54See if AI search can find and recommend your brand.
May 2026 · searchscore.ai · its alternatives →
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We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB. Our new models set a new state-of-the-art for static embeddings. Main features: - Our best model (potion-base-8M) has only 8M parameters, which is ~30mb on disk - Inference is ~500x faster than the distilled base model (bge-base), on a CPU - New models can be distilled in 30 seconds on a CPU without requiring a dataset - just a vocabulary - Numpy-only inference: The packaged can be install the package with minimal…
2024 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →