Alternatives

Products that do what Drift – an embedding-model upgrade should be a rotation, not a reindex does

1DM
Deploy ML Models on a Budget▲117
2021 · github.com
2FP
Floptimal – Preflop ranges reimagined▲135
2021 · floptimal.com
3PP
Plait.py – a fake data modeler▲85
2018 · github.com
4VA
Vers, a tool to version data models instead of APIs▲7
2015 · github.com
5AR
A radically more scalable alternative to Bayesian Optimization▲96
2018 · github.com
6
Data Robot▲92
Build Better Predictive Models — Faster
2014
7FA
Figma alternative where AI works with vector primitives, not code▲9
Apr 2026 · brilliant.design
8CO
Cortex – Open-source alternative to SageMaker for model serving▲65
2020 · github.com
9MZ
Model Zoo: Deploy your machine learning model in a single line of code▲34
2020 · modelzoo.dev
10US
UserMetrix -- Spend time fixing bugs not reproducing them▲8
2011 · usermetrix.com
11PA
Panini AI – A platform to serve ML/DL models at low latency▲29
2019 · panini.ai
12BH
Beating Hinton et al.'s capsule net with fewer params and less training▲14
Hello HN, I recently posted a work-in-progress paper, along with code necessary for replicating all its results, at: https://github.com/glassroom/heinsen_routing Among other things, the code in this repo outperforms Hinton et al.'s recent state-of-the-art result in visual recognition[0] while requiring fewer parameters and an order-of-magnitude fewer training epochs. Most of the original research we do at work tends to be either proprietary in nature or tightly coupled to internal code, so we cannot share it with the world. In this case, however, I was able to remove all…
2019
13AC
AgentNexus – coordinate LLM agents by service boundary, not role▲6
Jun 2026 · github.com
14ZG
Zkit – Go libraries for building agents, not a framework▲6
Jun 2026 · zarldev.github.io
15BA
Backprop – a simple library to use and finetune state-of-the-art models▲5
2021 · github.com
16AA
An addendum to the Agile Manifesto for the AI era▲7
I'm a VP of Engineering with 20 years in the field. I've been thinking deeply on why AI is breaking every engineering practice, and it led me to the conclusion that the Agile Manifesto's values need updating. The core argument: AI made producing software cheap, but understanding it is still expensive. The Manifesto optimizes for the former. This addendum shifts the emphasis toward the latter. Four updated values, three refined principles, with reasoning for each. Happy to discuss and defend any of it.
Mar 2026 · github.com
17TP
The Problem with Google’s Deepfake Dataset and FaceForensics++▲7
2019 · dessa.com
18IC
I created a Neural Network from scratch, in scratch▲7
I spent the past week implementing a 1 Layer Neural Net and training it on MNIST within the visual scripting language provided by scratch.mit.edu. It was tedious, but ultimately not too difficult. The code runs incredibly slowly, so much so that 64 samples of MNIST takes 5+ hours to train on my machine. There were a lot of little mini challenges that were fun to overcome (implementing softmax was very tricky). If you're interested, I encourage you to try and improve on it! More details in the linked blog post.
2024 · bell-boy.github.io
19TA
Tinx.ai – Prebuilt AI Models for You▲7
2022 · tinx.ai
20IO
I open-sourced a $1M engine for closing loops in embedding space▲8
Hey folks, I’m the creator of WFGY — a semantic reasoning framework for LLMs. After open-sourcing it, I did a full technical and value audit — and realized this engine might be worth $8M–$17M based on AI module licensing norms. If embedded as part of a platform core, the valuation could exceed $30M. Too late to pull it back. So here it is — fully free, open-sourced under MIT. --- ### What does it solve? Current LLMs (even GPT-4+) lack *self-consistent reasoning*. They struggle with: - Fragmented logic across turns - No internal loopback or self-calibration - No modular thought units - Weak…
2025 · github.com
21
A Layer for robotics dataset quality▲5
We are exploring how teams can automatically audit data quality, detect problematic demonstrations, and build smaller, high-quality training sets before spending GPU time. We are looking for design partners to help shape the Calibra.
11d ago · calibrarobotics.com
22GT
GitLFS taking forever? No prob, heres the best AI data versioning tools▲8
Hi HN! I just released a blog on the fastest, easiest, and most collaborative AI data version control tools out there. If you’ve been iterating on AI datasets lately, you know how annoying and difficult it is to version and share your data. If you want a detailed comparison on the best data exploration and versioning options from Oxen.AI (where I am currently building a solution), Hugging Face, DVC, etc. check out the blog and lmk what you think:) Here’s the link: https://www.oxen.ai/blog/the-best-ai-data-version-control-to...
2024 · ghost.oxen.ai
23OA
Osmoar: A Bayesian Suggestion Engine▲6
A friend and I are launching an alpha first thing in 2011. We're trying to gain some momentum and whatnot, so we're opening early registration as of tonight. We're planning to develop a Bayesian network to derive suggestions. If you're interested in seeing our progress, check it out. Edit: Any and all suggestions, criticism, advice, etc is highly appreciated!
2010 · osmoar.com
24TN
The new compression algorithm is not like the standard ones▲5
Sep 2025 · ferki-git-creator.github.io

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