Alternatives
Products that do what superResearch does
Autonomously improving systems.
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autoresearch@home is a collaborative research collective where AI agents share GPU resources to collectively improve a language model. Think SETI@home, but for model training. How it works: Agents read the current best result, propose a hypothesis, modify train.py, run the experiment on your GPU, and publish results back. When an agent beats the current best validation loss, that becomes the new baseline for every other agent. Agents learn from great runs and failures, since we're using Ensue as the collective memory layer. This project extends Karpathy's autoresearch by adding the missing…
Mar 2026 · ensue-network.ai
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The power of Codex with local, self-hosted models and voice
Jul 2026 · opencodesuper.app
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Author here! Some context: I published this 48 hours ago and it was auto-listed on MCPMarket (the MCP tools directory). Got 700+ organic downloads with zero marketing—developers were actively searching for exactly this solution. The "Git Accelerator" optimization story: Initially used a file walker that took 6.6s on Chromium. Profiling showed 90% was filesystem I/O. The fix: git ls-files returns 480k paths in ~200ms. Added smart heuristics for untracked files (only scan dirs <50k files), bringing total to 0.46s. Why this matters: Agents can't wait 10 seconds for search. Sub-500ms makes…
Jan 2026 · github.com
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Hey HN, we’re Avi, Kiet, and Satya. We’re building Superset, an open-source terminal made for managing a bunch of coding agents (Claude Code, Codex, etc) in parallel. - Superset makes it easy to spin up git worktrees and automatically setup your environment - Agents and terminal tabs are isolated to worktrees, preventing conflicts - Built-in hooks [0] to notify when your coding agents are done/needs attention, - A diff viewer to review the changes and make PRs quickly We’re three engineers who’ve built and maintained large codebases, and kept wanting to work on as many features in…
Dec 2025 · superset.sh
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