Alternatives
Products that do what Mercury Edit 2 does
Ultra-fast next-edit prediction for coding
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
- 13
- 14
LLM reinforcement fine-tuning platform to improve LLM output
2025
- 15
- 16
- 17
- 18BE
Hey HN, we built a pure-Lua Neovim plugin that brings Cursor-style next-edit predictions to Neovim, running entirely on local models. Tab to accept, Esc to reject. GitHub: https://github.com/BlinkResearchLabs/blink-edit.nvim We're Blink Research Labs (https://github.com/BlinkResearchLabs) - an open research collective building AI coding tools in the open. Our philosophy is simple: if it's not open, it's not research; if it's not fast, it's not usable. We think the best AI coding tools shouldn't be locked behind $20/month subscriptions or closed-source…
Jan 2026 · github.com
- 19
- 20
- 21IV
Have been building a web IDE & browser based code editor and v2.0 has now launched. Contains a whole load of features beyond just code highlighting such as online & offline use, code completion, type boosting, Emmet, database management, find & replace builder, auto backups, Github syncing and a whole lot more. Oh, and it's free & open source. Any and all feedback welcomed.
2013 · icecoder.net
- 22
- 23GB
Hey HN, We’re excited to share PySpur, an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows. Why we built this: Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results. In practice, achieving this reliability meant repeatedly: 1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching…
2024 · github.com
- 24WU
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
Ranked by how close each launch is in meaning, then by votes. Refine with a description →