
repo-slopscore
Detect AI/LLM generated code in git repositories via commit history analysis.
ava · Lobsters
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60 projects

Detect AI/LLM generated code in git repositories via commit history analysis.
ava · Lobsters

Generate Excel formulas with AI technology.
Formulas AI — 帮助用户生成 Excel 公式,基于 DeepSeek-V3 的 AI 工具产品(需要用户自己填入key)

Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests

Deploy serverless AI models with a single line of code at competitive rates.
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替),Synexa 是运行无服务器 AI API 最具性价比的解决方案,提供业界最具竞争力的 A100 GPU 价格,相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

Write and run code in an IDE with Claude, GPT, and Gemini models, then deploy to Vercel.
@bind_ai · X
We got tired of juggling model subscriptions and editors, so we built Bind AI One tab: Claude, GPT, Gemini, an IDE that runs the code and ships it to Vercel Heads down on the shortest path from idea to application #vibecoding

Build and deploy production apps by describing your idea in natural language.
@jordanunegbu · X
Develop apps and websites with natural language?

Write and run code in your browser with AI code generation and auto-fix features.
@anish2good · X

Generate AI workflow templates, prompts, and quality checklists from task parameters.
AI 工作流模板生成器 — 免费 AI 工作流生成工具,输入重复任务、角色和输出格式,自动生成任务边界、处理步骤、提示词和质检清单。

Reduce AI agent token costs by 40-70% through real-time prompt compression and duplicate tool call detection.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

Use AI code review that runs code in microVMs to catch more bugs faster.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

Compress LLM prompts and docs to reduce token usage and API costs.
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

Get a free API key with email to access 500+ Hugging Face models.
@pengsonal · X
500+ Hugging Face models through a single free API no credit card just an email signup 😳 launched on July 3 as a unified gateway for Hugging Face models one API key one endpoint 500+ models what you get for $0: • 500+ open-source models through an OpenAI-compatible API • no separate API keys for different providers • works with Cursor, Claude Code, Hermes, OpenCode, and anything that supports a custom base URL • email signup only setup takes about 2 minutes: 1. Go to 2. Sign up with your email 3. Generate an API key 4. Set your base URL to 5. Choose any model from the catalog and start building a few things worth knowing: • is a third-party gateway, not an official Hugging Face product • the free tier is rate-limited, but the exact limits haven't been published yet • i wouldn't build production apps that depend entirely on a free aggregator what i like is the simplicity instead