AI · alternatives · 2026
24 alternatives to WhiteLightning
LLM Distillation Tool
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1WU
Hey HN, We’re Volodymyr and Volodymyr—two developers from Ukraine building WhiteLightning. It’s a tool that turns large LLMs (Claude 4, Grok 4, GPT-4o via OpenRouter) into tiny ONNX text classifiers that run anywhere—even on drones at the edge. Why we built this: Many developers want custom models (spam filters, sentiment analysis, PII detection, moderation tools), but don’t want to deal with constant API calls or deploy heavy models in production. How it works: WhiteLightning uses LLMs to generate training data and distills it into KB-sized ONNX models you can run on any device and in any…
2025 · whitelightning.ai · its alternatives →
- 2
LLMWare▲358Dev tool to make AI apps to deploy privately or locally
2024 · llmware.ai · its alternatives →
- 3
Hey HN! Lathe is an experiment in using LLMs to teach me something new, instead of doing the work for me. It generates a hands-on, source-backed tutorial for any technical topic you want to learn. Then you work through it yourself by reading and typing the code by hand (gasp) in a local UI built for exactly that. It's a Go CLI plus LLM agent skills (Claude Code / Cursor / Codex). You prompt something like "/lathe build a 3D slicer in Erlang", run `lathe serve` to spin up a local webapp, and read it in your browser. Every tutorial comes with the things that have made…
Jun 2026 · github.com · its alternatives →
- 4
GradientJ▲92Build complex LLM applications fast and manage them at scale
2023 · tryvelos.com · its alternatives →
- 5
TensorZero▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
2025 · github.com · its alternatives →
- 6
Promptology▲232AI prompt engineering business model guide
2023 · shushantlakhyani.gumroad.com · its alternatives →
- 7
- 8AP
2023 · promptperfect.jina.ai · its alternatives →
- 9PT
2024 · adamgrant.info · its alternatives →
- 10
- 11TL
2023 · tinyllms.vercel.app · its alternatives →
- 12
- 13
TuneTrain.ai▲79Do you know that Small Language Models (SLM) can outperform LLMs if trained (fine-tuned) on domain specific datasets, like your companies knowledge base? The issue: fine-tuning a SLM usually requires a dataset of 10k - 100k records, which is huge. I created a platform for applying "human in the loop" augmentation techniques on your small dataset, so that you can start with maybe 100 records and build-up quickly huge datasets and launch a training without prior knowledge. I implemented 2 techniques, based on LLM distillation, however: more to come. HN, what Do you think? Do you see value in…
2025 · tunetrain.ai · its alternatives →
- 14
https://medium.com/@theaniketgiri/three-months-ago-i-wanted-...
Oct 2025 · github.com · its alternatives →
- 15
Ask questions about your data in plain english
2023 · movinglake.com · its alternatives →
- 16
Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…
2024 · jigsawstack.com · its alternatives →
- 17
Gradient▲153Developer API for building private LLMs that you own
2023 · hyperagent.com · its alternatives →
- 18
I have been working in AI space for a while now, first at FAANG with ML since 2021, then with LLM in start-ups since early 2023. I think LLM Application development is extremely iterative, more so than any other types of development. This is because to improve an LLM application performance (accuracy, hallucinations, latency, cost), you need to try various combinations of LLM models, prompt templates (e.g., few-shot, chain-of-thought), prompt context with different RAG architecture, different agent architecture, and more. There are thousands of possible combinations and you need a process…
2024 · github.com · its alternatives →
- 19IG
Data automation and visualization platform for spreadsheet users.
2024 · columns.ai · its alternatives →
- 20
DemoGPT▲94Auto generative AI app generator with the power of Llama 2
2023 · github.com · its alternatives →
- 21
Deepmark AI▲97LLM benchmarking tool for task-specific metrics on your data
2023 · github.com · its alternatives →
- 22
Christmas project from a personal need to find ideal locations.
2024 · godview.ai · its alternatives →
- 23
The easiest way to do output iteration with Llama 3.1 405B
2024 · respan.ai · its alternatives →
- 24
Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.
2024 · github.com · its alternatives →
Also compare
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 →