AI · alternatives · 2026
24 alternatives to Open-source code for a private, infinitely scalable, PQ-secure L1 layer
For the past few months, I’ve been working on a new Layer 1 blockchain designed to solve what I see as the fundamental trilemma in the space: achieving strong privacy, infinite scalability, and post-quantum security simultaneously. The result is NERV: a private-by-default, horizontally scalable blockchain that replaces Merkle trees with 512-byte neural state embeddings, proven inside Halo2 circuits and attested in hardware enclaves. Key technical innovations: Neural State Embeddings Instead of Merkle trees, the entire state of a shard is compressed into a 512-byte vector using a transformer…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too. Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution. Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me…
2023 · github.com · its alternatives →
- 2
Netmind Power▲272Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
2023 · netmind.ai · its alternatives →
- 3IB
We wanted to do something very challenging to prove to ourselves that we can do anything we put our mind to. The reasoning for why we chose to build a toy TPU specifically is fairly simple: - Building a chip for ML workloads seemed cool - There was no well-documented open source repo for an ML accelerator that performed both inference and training None of us have real professional experience in hardware design, which, in a way, made the TPU even more appealing since we weren't able to estimate exactly how difficult it would be. As we worked on the initial stages of this project, we…
2025 · tinytpu.com · its alternatives →
- 4BG
2018 · medium.com · its alternatives →
- 5
Maki▲84An efficient AI coding agent. Native Rust TUI. Immediate startup, 60 FPS, low memory. Indexes files instead of reading them, chains tools in a sandbox interpreter. Anthropic, OpenAI, Google, Z.AI, OpenRouter, Synthetic, or any OpenAI / Anthropic compatible API.
2022 · maki.sh · its alternatives →
- 6
Neptune is a quantum-safe layer 1 blockchain combining zk-STARKs and PoW consensus. Private by default, programmable, and built for global scale
2014 · neptune.io · its alternatives →
- 7
the purest AI + Blockchian project. Contribute to theDumbAssCoin/DUMBASS development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 8
This is a low-level opensource library I developed for my own use and decided to share, as it makes it possible to process large checkpoints of neural networks without renting high-RAM instances, on a regular PC. It replaces torch.load() with a custom function that produces a dictionary that materializes tensors on the fly. Compared to other solutions it doesn't require sharding or re-encoding checkpoints and uses them completely as-is. It is a foundation to make it possible to run inference and compress language models and other large models one layer at a time - in principle, even one…
2023 · github.com · its alternatives →
- 9
Compact Sparse Merkle Trees (CSMT) with pluggable storage. - ZanjeerPlatform/csmt
2018 · github.com · its alternatives →
- 10
Hello. I made this project as an experiment in using key cryptography for user identity in a client server model, and for some future peer to peer projects that I am working on. I am looking for feedback, please let me know what you think. Also, Merry Christmas to HN! :-)
2022 · github.com · its alternatives →
- 11
Structured encoding layer for Ethereum JSON-RPC data — improves zstd compression by 12–21% - Louw115/nep-ethereum-compression
Jun 2026 · github.com · its alternatives →
- 12IN
Tl;dr: I trained a classifier to route to the least expensive model and reasoning depth to complete the request. Coupling that with additional automated token efficiency techniques has yielded 3x usage for the same spend. For anyone interested in trying it themselves: https://nerfguard.com Various teammates and I switched over to Codex from Claude Code recently. We still bounce between the tools, but Codex’s speed and steerability coupled with performance gains were hard to ignore. One of the downsides was that the per token pricing kicked in way sooner. This is happening across…
Jun 2026 · its alternatives →
- 13OS
We’ve just released an open-source library for solving the Maximum Independent Set (MIS) problem with neutral atom quantum computing, running on both quantum processing units (QPUs) and classical hardware, thanks to emulators. This project is the result of collaboration between Pasqal, academic researchers, and industry partners, aiming to make it practical to experiment with quantum approaches to hard combinatorial optimization tasks. The MIS problem appears in real-world scenarios like scheduling, resource allocation, and network optimization, areas where classical solvers often struggle…
2025 · its alternatives →
- 14
Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI. - roandejager/Hillock
Aug 2026 · github.com · its alternatives →
- 15
DEPRECATED- see https://github.com/OpenMined/OpenMined or https://github.com/OpenMined/PySyft - iamtrask/PyBV
2017 · github.com · its alternatives →
- 16SA
2017 · producthunt.com · its alternatives →
- 17
Hi guys, I’m excited to share an update on ReproModel, an open-source toolbox designed to streamline the testing and reproduction of machine learning models. I, like many of you, have really struggled with benchmarking and comparing models, from missing code, to opaque experiment parameters slowing the process. I decided to take matters into my own hands, and created a mini-toolbox in my free time to streamline the process. The goal is to reduce the time and effort spent on replicating experiments, enabling researchers to focus on innovation rather than setup. Knowing this task is not an…
2024 · github.com · its alternatives →
- 18
NuCypher fully homomorphic encryption (NuFHE) library implemented in Python - nucypher/nufhe
2018 · github.com · its alternatives →
- 19
Maximally decentralized cryptocurrency. Contribute to PaulGustafson/dcc development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 20
This preprint introduces a groundbreaking, zero-latency bank interaction framework that solves the Memory Wall problem in cybersecurity. By replacing memorized secrets with Silicon DNA (S-DNA) and securing the transaction layer with Ramanujan's transcendental 1/pi series, we establish a hardware-nat
May 2026 · zenodo.org · its alternatives →
- 21
I've always been fascinated by cryptographic principles, so I decided to dive deep into zero-knowledge proofs and implement a Groth16 proof verifier entirely in Rust. This project validates cryptographic proofs and demonstrates how succinct, verifiable computations can be achieved. Using Rust's powerful libraries like arkworks, I implemented pairing checks, public input commitments, and proof validation logic while ensuring the code remains modular and efficient. I handled the complexities of affine group operations, scalar multiplications, and optimized public input verification to make…
2024 · github.com · its alternatives →
- 22
Hey hackers, the world needs more AI researchers with good taste, and hardcore software folks have some of the best. Many software friends mentioned they learn better from implementations than from papers, but existing open-source examples rarely go beyond basic nanoGPT-level demos. To help bridge that gap, I spent the last two months full-time reimplementing and open-sourcing a self-contained implementation of every major modern deep learning technique from scratch. The result is beyond-nanoGPT, containing 20k+ lines of handcrafted, minimal, and extensively annotated PyTorch code. I'd love…
2025 · github.com · its alternatives →
- 23AB
2018 · aysha.io · its alternatives →
- 24
Over the past few months, as we scaled our internal AI Agents, we hit a dead end: Running LLM-generated arbitrary code in Docker is basically running naked on security due to container escape risks. But using full traditional VMs takes minutes to boot and eats too much memory to support high-density concurrency. We loved the developer experience of SaaS sandboxes on the market, but they are closed-source, expensive, and have too high a barrier to entry for self-hosting. So, our team decided to build our own. After months of grinding, using RustVMM and KVM, we built a blazing-fast,…
Apr 2026 · 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 →