
Spectacular - Free Open Source Specification Builder - Spectacular
Write software functional specifications designed to work for both humans and AI.
@spec_tacul_ar · X
Specifications for humans and AI.
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Write software functional specifications designed to work for both humans and AI.
@spec_tacul_ar · X
Specifications for humans and AI.

Find trending open source projects and track your GitHub PRs and issues in one dashboard.
@manixh · X

Analyze GitHub repositories to discover and score paid work and contribution opportunities.
@bashops_dev · X
Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.

Deploy any of 400+ open-source tools on your choice of 9 cloud providers.
@Dil_Lynn · X

A daily automated sweep of AI, robotics and smart-hardware repositories on GitHub, scored for reproducibility and shipped with clone commands, setup steps and download links.
@shawkalent · X
我开发了两个平台,一个是开源平台:

Open-source ecosystem for discovering, evaluating, and publishing AI tools with a sandboxed testing framework.
@BobbySBX · X
We just dropped Assay v0.2.6, the open source evaluation engine powering Most registries judge an AI tool by its README. We built Assay to actually run skills, MCP servers, and plugins inside isolated sandboxes with live models to observe what they do before you install them. What is new in v0.2.6: - NVIDIA API Catalog provider: Native support is here, allowing you to use NVIDIA driver and judge models to run behavioral benchmarks and multi-tier audits. - Zero runtime dependencies: Still a self-contained ~240 KB tarball that speaks directly to @nvidia , @AnthropicAI , @OpenAI , @OpenRouter , and local HTTP endpoints without SDK bloat. - Adversarial and static checks: Out of the box verification against prompt injection, tool scope creep, destructive shell commands, and supply chain drift. Every tool on is tested through Assay. That means 4,200+ skills, MCP servers, and plugins are commit-pinned, graded on actual runtime behavior, and rea

Browse 10,000+ open-source AI projects with benchmarks, pricing, and code relationships.
osaitech · Product Hunt
OpenSourceAI.tech Discover 10,000+ open-source AI projects, models & tools

Collect and manage user feedback and feature requests with an open-source AI alternative to Canny.
@kngkng182542 · X
If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.

Design and test AI-ready APIs using a visual flow builder with team collaboration.
@milonspace · X
A specification nobody can find is functionally the same as no specification.

Desktop-first open-source productivity system with Pomodoro tracking, habit building, and AI reflection.
@Shourya60756648 · X
Let's connect, checkout

Search indexed open-source code and packages with version history, metadata, and dependency information.
@Jack_Timonen · X

Compare how different AI models generate frontend code and view accessibility scores.
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •