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AI · alternatives · 2026

24 alternatives to SOCBench – an open benchmark for AI on SoC tasks

Writeup: https://www.deeptempo.ai/blogs/the-36-percent-false-positive...

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Scored 65.2% vs google's official 47.8%, and the existing top closed source model Junie CLI's 64.3%. Since there are a lot of reports of deliberate cheating on TerminalBench 2.0 lately (https://debugml.github.io/cheating-agents/), I would like to also clarify a few things 1. Absolutely no {agents/skills}.md files were inserted at any point. No cheating mechanisms whatsoever 2. The cli agent was run in leaderboard compliant way (no modification of resources or timeouts) 3. The full terminal bench run was done using the fully open source version of the agent, no…

    Apr 2026 · github.com · its alternatives →

  2. 2
    GraphBit▲437

    We built GraphBit to solve the reliability gap in AI frameworks. It’s built on a Rust execution core with a Python layer for accessibility — deterministic orchestration, lock-free concurrency, and built-in observability. We’d love feedback from the HN community, especially from those running multi-LLM or agentic workflows at scale.

    2025 · graphbit.ai · its alternatives →

  3. 3
    PHBench▲398

    Predict the next Series A from a ProductHunt launch

    May 2026 · phbench.com · its alternatives →

  4. 4
    cto bench▲125

    The ground truth code agent benchmark

    Dec 2025 · cto.new · its alternatives →

  5. 5

    Open-source collaborative agentic workspace for data teams

    Sep 2026 · alkera.ai · its alternatives →

  6. 6

    We built a computer use agent once and got it benchmarked at the 2nd position in the biggest benchmark for this field but in the process, we realized one thing, how outdated and inefficient these benchmarks are and how they don't truly capture how these tasks went. So we thought a community led benchmarking arena would be the way to go about. https://coarena.ai/. You just have to put in a task and two side by side windows with hidden models will show up and do the same task and at the end you vote which one did better(or none). We have a leaderboard where we rank all the…

    Aug 2026 · coarena.ai · its alternatives →

  7. 7

    LLM benchmarking tool for task-specific metrics on your data

    2023 · github.com · its alternatives →

  8. 8
    Web Bench▲138

    A 10x better benchmark for AI browser agents

    2025 · webbench.ai · its alternatives →

  9. 9
    WarpGrep▲114

    I review PRs all day and I've basically stopped reading them. Someone opens a 2000-line PR, I scroll, see it's mostly AI-generated React components, leave a comment, merge. I felt bad about it until I realized everyone on my team does the same thing. The problem is diffs are the wrong format. A PR might change how three buttons behave. Staring at green and red lines to understand that is crazy. The core reason we built this is that we feel that products today are built with assumptions from the past. 100x code with the same review systems means 100x human attention. Human attention cannot…

    Dec 2025 · morphllm.com · its alternatives →

  10. 10

    Hey HN, We built a different kind of AI benchmark for UI generation. Instead of static leaderboards or curated screenshots, you can watch multiple models generate the same design live, side-by-side, and decide which output is actually better. Under the hood, we call AI models from Anthropic (Opus), OpenAI (GPT), Google (Gemini), and Moonshot AI (Kimi). Each model generates a real, editable project using Tailwind CSS (not screenshots or canvas exports). You can export it for Next.js, Laravel (Blade), Symfony (Twig), WordPress, or plain HTML. What we noticed building this: * Popular benchmarks…

    Feb 2026 · shuffle.dev · its alternatives →

  11. 11

    We’re excited to share ML-Dev-Bench, a new open-source benchmark that tests AI agents on real-world ML development tasks. Unlike typical coding challenges or Kaggle-style competitions, our benchmark simulates end-to-end ML workflows including: - Dataset handling and preprocessing - Debugging model and code failures - Implementing new model architectures - Fine-tuning and improving existing models With 30 diverse tasks, ML-Dev-Bench evaluates agents across critical stages of ML development. To complement this, we built Calipers, a framework that provides systematic performance evaluation and…

    2025 · github.com · its alternatives →

  12. 12

    ProgramBench evaluates whether language models can rebuild programs from scratch.

    May 2026 · programbench.com · its alternatives →

  13. 13

    Competitive software benchmarks grounded in public evidence

    Aug 2026 · signalbench.win · its alternatives →

  14. 14BA

    I built CodeLens.AI - a tool that compares how 6 top LLMs (GPT-5, Claude Opus 4.1, Claude Sonnet 4.5, Grok 4, Gemini 2.5 Pro, o3) handle your actual code tasks. How it works: - Upload code + describe task (refactoring, security review, architecture, etc.) - All 6 models run in parallel (~2-5 min) - See side-by-side comparison with AI judge scores - Community votes on winners (blind voting) - Each evaluation gets reflected in the overall AI model leaderboard, showing us best ones Why I built this: Existing benchmarks (HumanEval, SWE-Bench) don't reflect real-world developer tasks. I wanted to…

    2025 · codelens.ai · its alternatives →

  15. 15

    Continuous evaluation of LLM reasoning on competitive code

    Dec 2025 · its alternatives →

  16. 16

    Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…

    Mar 2026 · enlidea.com · its alternatives →

  17. 17

    I built a small benchmark to test CLI coding agents on blind bug detection. A challenger agent injects bugs and writes ground truth (`bugs.json`). A different reviewer agent audits the repo without seeing ground truth, and an LLM matcher scores bug-to-finding assignments. Current run: 50 repos, 150 challenges, 450 reviews, 2,603 injected bugs. Weighted detection: Claude 58.05%, Codex 37.84%, Gemini 27.81%. LLM-judge benchmarks are easy to get wrong, so I’d really appreciate critical feedback on benchmark fairness, scoring/matching methodology, and obvious failure modes I’m missing. Full…

    Feb 2026 · github.com · its alternatives →

  18. 18

    Today, we're launching the Open Benchmarks Grants: a $3M commitment to fund open-source and academic teams building benchmarks for AI agents. In partnership with HuggingFace, PrimeIntellect, FactoryHQ, Together, Harbor, and PyTorch, the grants provide funding, data development support, and research collaboration. Our ability to measure AI has been outpaced by our ability to develop it, and we believe this evaluation gap is one of the most important problems in AI. Open benchmarks are one of the most important levers for advancing AI safely and responsibly—but the academic and open-source…

    Feb 2026 · benchmarks.snorkel.ai · its alternatives →

  19. 19

    Hey HN, Like many of you, I'm tired of public AI leaderboards that mostly recycle the same saturated/overfitted benchmarks (MMLU, HumanEval, etc.) and often miss fast/cheap variants or real daily pain points. A couple days ago I launched AIBenchy — a small, opinionated leaderboard running my own custom tests focused on end-user/dev scenarios that actually trip up models today. Current tests cover categories like: - Anti-AI Tricks (classic gotchas like "count the Rs in strawberry", logic traps) - Instruction following & consistency - Data parsing/extraction -…

    Jun 2026 · aibenchy.com · its alternatives →

  20. 20ΤB

    τ-Bench is an open benchmark for evaluating AI agents on grounded, multi-turn customer service tasks with verifiable outcomes. It's been great to see the community adopt it since launch — this is now the third iteration. With τ³-Bench, we're extending it to two new settings: knowledge-intensive retrieval and full-duplex voice. τ-Knowledge: agents must navigate ~700 interconnected policy documents to complete multi-step tasks. Best frontier model (GPT-5.2, high reasoning) hits ~25%. The surprising part: even when you hand the model the exact documents it needs, performance only reaches ~40%.…

    Mar 2026 · its alternatives →

  21. 21

    Hey HN! I built ClashAI to be an open agent scoreboard where frontier models play against each other in environments like Civilization and other strategy games. Every match is streamed live with the AI thinking fully observable. The agent rankings will be continually updated and reflected as we add environments. Brief notes on CivBench Season #001: - 200 turn limit - Starting with 8 of the top 42 agents we’ve tested in a standardized harness - 90s reasoning timeout (timed with thinking config per model card) - live benchmark, still growing sample size What’s been interesting so far: Models…

    Feb 2026 · clashai.live · its alternatives →

  22. 22

    Contribute to Talc-AI/search-bench development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  23. 23

    we had hundreds of discussions with engineering leaders over the past few months, and everyone's trying to understand where they are in the AI journey. we collected all this data into a benchmark and built a free grader to let you know where you stand. you answer on a 1–5 scale (e.g., autonomy runs from "suggestions only" to "agents own multi-hour workflows across code, infra, and external systems") - takes about 5 minutes. https://agent-benchmarks.com/software-factory/ waiting for your results!

    Jul 2026 · agent-benchmarks.com · its alternatives →

  24. 24

    I'm Fenil, co-founder/CEO of OpenFunnel (YC F24), building this with my co-founder/CTO Aditya. We're launching OpenBenchmarks (https://openbenchmarks.com), open-source, reproducible benchmarks for SaaS APIs, starting with the category we know best: GTM APIs. ## Why we built this More and more B2B software evaluation will/already runs through reasoning models inside agentic workflows rather than through people. And buyers increasingly pick vendors that are API-first and ship MCPs, so they can wire them into internal workflows. Strong reasoning models are skeptical of…

    Jul 2026 · openbenchmarks.com · its alternatives →

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