
StackMind — Second Brain for Developers
Notes with code blocks, Kanban bug tracker, and snippet library with GitHub import.
@SinghApurv1711 · X
Hey! Check it out here:
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Notes with code blocks, Kanban bug tracker, and snippet library with GitHub import.
@SinghApurv1711 · X
Hey! Check it out here:

Hosted JSON database for storing agent memory with REST and MCP connectivity
@StuSim · X
hey Adam, I run , lightweight agent memory

Rubber duck debugging chat accessible in-browser or via OpenAI-compatible API.
Antihero5759 · HN
I built a rubber duck chat that you can use through the browser but it's also OpenAI api compatible so you can plugin it in and use it through your favorite ai app. https://bearjcc-quack-language-model.hf.space/

Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

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

Upload documents and ask questions to get instant AI-powered answers.
@Rehman68128710 · X
I Made an AI support bot — just feed it your website or a doc and it's ready to answer customer questions.

Store and share prompts, rules, and context that AI tools like Claude Code, Cursor, and ChatGPT can access via MCP.
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

Compare git, Jujutsu, and GitButler performance on coding tasks with Claude Code and Codex agents.
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler

AI-powered platform for intuitive vibe-based coding development.
@isuryatk · X
- World's most reliable vibe coding platform

Learn Japanese through interactive lessons with AI tutor feedback and spaced repetition practice.
u/Blazikenfire · Reddit
I built Language Learning website with hint of AI grading A few years back, I enrolled in a Japanese language course at Mumbai University. It was a pretty rough experience. The teacher was incredibly loud as in literally shouting at people's every mistake, and the pace was unforgiving. If you missed just one or two lectures, suddenly everything looked like alien text and you were completely left behind. The environment was so tense that asking a simple doubt made you regret ever joining the

Learn code skills with flashcards, quizzes, and AI tutoring built on memory science.
@mkappworks · X
I am building lets connect

Define your company once; Claude, ChatGPT, Cursor, and other AI tools read and write the same team context.
@nav_ux · X
BaseThread here. We're building the shared context layer so a team's AI tools, Claude, ChatGPT, Cursor, all read and write the same thing instead of starting cold every session.