AI · alternatives · 2026
24 alternatives to FineTuna
Dataset creation UI
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. FineTuna launched in 2024; newer entries below may have overtaken it.
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FineTuner▲164NEW88 là nền tảng giải trí trực tuyến uy tín hàng đầu Châu Á với đa dạng sản phẩm, ưu đãi khủng và trải nghiệm an toàn bảo mật trên mọi thiết bị.
2025 · nowhiteboards.io · its alternatives →
- 3

Hey HN! We’re building FinetuneDB (https://finetunedb.com/), an LLM fine-tuning platform. It enables teams to easily create and manage high-quality datasets, and streamlines the entire workflow from fine-tuning to serving and evaluating models with domain experts. You can check out our docs here: (https://docs.finetunedb.com/) FinetuneDB exists because creating and managing high-quality datasets is a real bottleneck when fine-tuning LLMs. The quality of your data directly impacts the performance of your fine-tuned models, and existing tools didn’t offer an easy…
2024 · finetunedb.com · its alternatives →
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I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
2023 · github.com · its alternatives →
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prompteasy.ai▲196Create datasets to fine-tune gpt in under 5min
2024 · prompteasy.ai · its alternatives →
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Hi HN community, I have been working on benchmarking publicly available LLMs these past couple of weeks. More precisely, I am interested on the finetuning piece since a lot of businesses are starting to entertain the idea of self-hosting LLMs trained on their proprietary data rather than relying on third party APIs. To this point, I am tracking the following 4 pillars of evaluation that businesses are typically look into: - Performance - Time to train an LLM - Cost to train an LLM - Inference (throughput / latency / cost per token) For each LLM, my aim is to benchmark them for…
2023 · github.com · its alternatives →
- 71S
2011 · mortardata.com · its alternatives →
- 8IB
After fine-tuning GPT for a personal project, I realized how tedious it is to write plain text in a massive JSON file. That's why I built this app for my own use, and I want to see if others could benefit from a tool like this as well ;)
2024 · finetuna-ui.com · its alternatives →
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OpenSheet▲86Hi folks. I've been doing some experiments on how LLMs could get more handy in the day to day of working with files (CSV, Parquet, etc). Earlier last year, I built https://datakit.page and evolved it over and over into an all in-browser experience with help of duckdb-wasm. Got loads of feedbacks and I think it turned into a good shape with being an adhoc local data studio, but I kept hearing two main things/issues: Why can't the AI also change cells in the file we give to it? Why can't we modify this grid ourselves? So besides the whole READ and text-to-SQL flows, what seemed…
Feb 2026 · opensheet.app · its alternatives →
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FinetuneDB▲52AI fine-tuning platform to create custom LLMs
2024 · finetunedb.com · its alternatives →
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FinetuneFast▲36Finetune your ML model in days - not weeks!
2024 · finetunefast.com · its alternatives →
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Just open-sourced a small terminal tool I’ve been working on. The idea came from wondering how useful it’d be if you could just describe the kind of dataset you need, and it would go out, do the deep research, and return something structured and usable. You give it a description, and it pulls relevant info from across the web, suggests a schema based on what it finds, and generates a clean dataset. The schema is editable, and it also adds a short explanation of what the dataset covers. In some cases, it even asks follow-up questions to make the structure more useful. Started off as a quick…
2025 · github.com · its alternatives →
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Hello HN! We’re Leo and Mandeep, founders of Datapane (https://datapane.com). We're building a way to create reports, dashboards, and web apps from your existing data using Python. Think of it as a combination of React and htmx, specifically designed for the Python data stack. Our GitHub is https://github.com/datapane/datapane and you can try building a report or app in ~2 minutes on Codespaces: https://try.datapane.com We started building Datapane at our previous start-up, where we struggled to deliver ML model results to clients. Much to our…
2023 · its alternatives →
- 17

Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
2025 · infinitcode.ai · its alternatives →
- 18

Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…
2025 · metabase.com · its alternatives →
- 19RA
Hi HN, we are the founders of Relari (https://www.relari.ai). We launched our LLM evaluation stack on HN a few months ago (https://news.ycombinator.com/item?id=39641105), which is now used in production by AI teams at companies like Vanta and PwC. We have since expanded to directly optimizing parts of an LLM pipeline using a data-driven approach. In particular, we see a lot of potential in the Auto Prompt Optimization—which could be an attractive alternative to fine-tuning in many cases—to use data to align LLMs for domain-specific tasks. Here’s a demo video:…
2024 · its alternatives →
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devtimate▲25Hey HN! I am a FE dev who is working at a software agency and im making 2-3 estimates per week. Creating estimates is painfull manual proccess, where you have to read a lot of .docx like RFP, SRS etc. This was really tiring for me Also in agency where im working we make estimates in google spreadsheets which is another pain, trying to drag something, copy, duplicate can really mess up the whole layout So i just wanted tool that can just automate this a bit. I just started researching and I couldnt find anything good enough for my usecase. So I made a tool for creating estimates with AI. I…
2024 · devtimate.com · its alternatives →
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Hey HN, We are Zain and Ashish, founders of Vanna AI. We recently embarked on an experiment to see if large language models (specifically LLMs) could help in generating SQL queries for real-world datasets. We initially started this project as a web app but realized that it was most useful and had broadest applicability as a Python package since you can then incorporate it into an existing workflow (Jupyter notebook, Slackbot, etc). We've had some good success with customer datasets but we've generally heard a lot of skepticism so we decided to write a paper about the methodology we're using…
2023 · github.com · its alternatives →
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Hi HN, I’ve spent the last decade building hardware products like humanoid robots, 3D printers, and self-driving tractors. I needed a tool to navigate technical documents faster, so I created one with friends. This tool helps with component search, cross-referencing, comparison, and debugging. We’d love your feedback, whether you find it useful or not. Thank you! Try it here: www.convergelab.ai
2024 · convergelab.ai · its alternatives →
- 24IA
Hey HN, I wanted to make my life easier by using GPT products that could convert my words to raw MongoDb queries. - Uploading large datasets (50-70GB) in CSV format wasn't feasible for me. - MongoDB does have a "Generate query" feature, but it requires an Atlas subscription. My database is self-hosted. - Plus, I wanted the flexibility to use my own OpenAI API keys instead of paying extra for any GPT-based services available. So, we developed a product that tackles these challenges. It's still a work in progress, but I'd greatly appreciate any feedback.…
2024 · vairflow.ai · 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 →