... everyone..!! I m the creator of Violit , a new Python framework I ve been building to solve a personal frustration: Why is it so hard to move from a great Python

... platform for charts, another for writing code, another for backtesting, another for exchange execution, and another for monitoring. QuantDinger is our attempt to connect the full workflow: Research Strategy Backtest Optimize Live Trading Monitor It is open source, Python-native, AI-assisted, and designed for traders and developers who want to build real trading systems instead of isolated scripts. Some things we re currently focused on: AI-assisted market analysis Python

... built the tool I always wished existed. Lorapok Atlas lets you browse and live-test 2100+ free open-source APIs across 34 categories zero config, zero signup: Web App live HTTP testing in browser, code snippets in JS, Python, cURL & Go VS

... paid product for a few months. $5/mo for unlimited tool calls, signed binary, hosted dashboard. 200 signups, 14 paid. Last week I ripped out the licensing code and pushed the core as Apache 2.0. It's a Python MCP server that gives any AI assistant (Claude, Codex, anything MCP-compatible) eyes and hands on your desktop. The 40 tools cover screenshots, clicking, typing, scrolling, OCR, accessibility tree queries on macOS, pywinauto

... like to introduce my SaaS PHA, Python Automation. It's a web-based software (currently an Android app is planned) for automating tasks, powered by the GPU (currently CPU-based). So, if you're looking for alternatives

... displayed at every step - Arrays are shown as a grid with per-cell change highlighting - Recursive functions are visualized as a call tree - Parameters are auto-detected just fill in the values and hit run Quick example Paste this Python code: def bubble_sort(arr): n = len(arr) for i in range(n): for j in range(0, n - i - 1): if arr[j] > arr[j + 1]: arr[j], arr[j + 1] = arr[j + 1], arr[j] return ... ... Enter [5, 3, 8, 1, 2] as the argument, hit run, and step through the execution. You'll see exactly how the array changes at each swap. Supports Python

... just shipped QuantDinger v3.0.1 . This release is all about making the product more useful in real trading workflows, from AI research and Python strategy generation to backtesting, tuning, and live execution . New in v3.0.1 Smarter AI-generated strategy and indicator workflow Better AI quality-check summaries and auto-fix feedback Clearer AI tuning visibility , so users can see which parameters changed and what was applied Improved strategy development documentation and synchronized example scripts Better support for # @param, # @strategy, and tradeDirection ... ... support Why we made this release QuantDinger is designed to be more than an AI trading demo. We want it to be a practical self-hosted AI trading operating system for traders, quants, and teams who need: AI market research Python

... brands. It helps companies avoid data loss, take a structured approach to marketing and brand building, and find the right communication channels. Branditex v 0.2 Link - branditex.com/about.html What's currently available? Communication Compass - Drag and drop channels, add competitors, and instantly see your position on the Brand Map. - Compare products, prices, and strategies in convenient tables. - Get an automatically generated report with recommendations: which channels are oversaturated, where your brand's blind spots are, and where your unique opportunities ... ... Communication Compass - my unique methodology, now fully online. Brand Pyramid

... community. I'm Jason, a solo founder building AIR Blackbox, an open-source CLI that scans Python AI projects for EU AI Act compliance. Quick background: I spent 13+ years as a technical sourcer at Meta and AWS, where I watched companies move fast on AI adoption and slow on governance. When the EU AI Act passed with an August 2, 2026 enforcement deadline, I realized most teams had no idea what the technical requirements actually look like in code ... ... open-source dev tools. Curious: for those of you building AI products, has the EU AI Act even hit your radar yet? Or is it still something you figure you'll deal with later? GitHub: github.com/air-blackbox Website: airblackbox.ai PyPI

... disable a button after it's clicked. Rich Embeds : Full embed support with color, footer, image, thumbnail, author, and repeatable fields. Both CLI (`--embed-color ff0000 --embed-field "Key::Value::true"`) and serve mode (JSON). AI Agent : A single Python script (`ai_serve_agent.py`) that wires Claude Agent SDK to discli serve. Claude has full Discord control it runs CLI commands for messages/channels/roles and outputs component blocks for buttons/selects/modals. ~550 lines for an agent that can do literally anything on Discord ... ... scaffolding, AI agents, moderation, support bots, welcome flows, logging, and slash commands. Install: pip install discord-cli-agent Try the AI agent: pip install discord-cli-agent claude-agent-sdk discli config set token YOUR_BOT_TOKEN python

... everyone While working with Claude Code in VS Code , I ran into a small but frustrating workflow issue. For months I ve been using Antigravity , which allows you to select code and press Ctrl + L to instantly send that snippet as context to the agent. Even better, you can repeat this multiple times in the same message, and the UI provides context chips that let you trace the referenced code easily. However, when I started using the Claude Code VS

... limited sandbox, and systems that aren t really extensible. That might work for small tests, but it can quickly break down when you want to build real, multi-step workflows. We wanted to go further. While talking to python devs, I observed: Rotations handled manually Helper scripts scattered across repos, and Python

... Mnexium SDKs give you a complete memory infrastructure as a service. Install the package, pass your LLM provider key, and your AI remembers. Node ( https://www.npmjs.com/package/@m... ) Python ( https://pypi.org

... Product Hunt ~ I m Zack, the founder of Python Precision and veteran member. I wanted to share the origin story of my latest venture with you, which launches here tomorrow! My journey to build this business started with a big realization. I had decided to return to martial arts after a 10-year hiatus but wanted to train at home. I looked everywhere for the right tool... double-end bags for timing and accuracy. Makiwara for conditioning. Banana bags ... ... solve the "gym-scale" problem for people who want to train hard at home without having to make all the same old compromises (space, weight, specialization, price). When the first one went up, the slim profile looked like a python

... Builders We have just released the official Python SDK and CLI for Alpie Core , our 32B reasoning model trained and served entirely at native 4-bit precision. The goal was simple: make it genuinely easy to build, test, and ship with a reasoning model in real-world systems, not just demos. What s included in the first release: Clean Python

... biggest blockers to building agents is getting the data 'agent-ready'. Teams spend months building pipelines, wiring up sources, cleaning data, and centralizing it - before an agent can even ask its first question. Pylar now does this out of the box. We re source-agnostic. Whether your data lives across multiple databases and warehouses (Supabase, Snowflake, MySQL, etc.), you can connect one or many instantly, no re-architecture required. If you don't have a warehouse ... ... covered. Pylar

... everyone I recently built a Universal Python Test Automation Framework that brings together: Playwright-based UI automation Async API testing BDD workflows with pytest

... developer joined GitHub every second in 2025. Top 5 developer populations: 1. United States, 2. India, 3. China, 4. Brazil, 5. United Kingdom. Open source remains the foundation. Fastest-growing OSS projects by contributors include @Zen Browser , @VS Code , and AI-focused @Continue . TypeScript is now the most used language on GitHub , overtook both Python

... tested them all building the same "Todo" app from scratch using identical prompts, requirements, and a stopwatch. The goal: Which AI tool actually delivers production-ready output, not just pretty demos? Watch the full head-to-heads: JustCopy.ai vs Base44: https://youtu.be/c79HJaWz6Y8 JustCopy.ai vs

... Olivia Wood(@oliviachapmanwood): @jumkye  how did you build in the ai integration? did you use lovable's pre-existing features? Comment from Oleg Kozlov(@olegkozlov): @Codex by OpenAI for heavy / larger scale tasks Copilot Agent (as plugin in PyCharm/WebStorm IDE) for smaller / tactical changes, incremental improvements. It has a selector for models, OpenAI, Anthropic, Google/Gemini, Grok Also, @JetBrains Junie is pretty good and sometimes I would use it instead of Codex. Comment from Mitchell McCain(@mitchellmccain ... ... from Paul Tseluyko(@paultseluyko): @minach  adoption of Cursor is just so huge and I don't understand why Cluade Code is a killer Comment from Paul Tseluyko(@paultseluyko): I actually prefer Claude code or GPT Copilot extension for VSCode

... Product Hunt! I ve been building Gromet , a tool that lets you take a Python script and share it with your team so they can run it instantly. No installs, no dependencies, no terminal needed. One thing I realized: the hard part isn t writing the automation, it s making it foolproof for teammates (especially those who aren t programmers). Even simple scripts can break if the environment isn t set up right, or if someone tweaks a setting. Here ... ... Adding lightweight input forms so non-technical users can provide parameters without needing to interact with code (Later) tracking usage to see which automations actually get used Curious to hear from the PH community: How do you currently share Python

... guys! After years of wrangling with flaky, missing, or totally manual-written tests in Python, C++, Java and JS projects, I felt the pain devs are tired of: - Spending hours or days on test cases - Missing edge cases - Test writing falling to the bottom of the to-do list So what if test cases wrote themselves? That's why I built TestGenie: - Generate robust, framework-specific tests for Python

... Product Hunt folks! Just dropped another open-source utility: https://github.com/aroojjaved93/... This lightweight Python-based dashboard is designed for support teams using JIRA who want clear, actionable visuals on SLA breaches, trends, and response behavior. Features Include: Visual breakdown of SLA trends over time Insight into ticket urgency, resolution speed, and escalation rate Built using Pandas, Matplotlib, Flask quick setup, no bloat Perfect for managers and analysts who want clarity without complexity. Live dashboards = better decisions and fewer surprises ...

... been building web products for over 10 years, blending strong backend architecture with clean, responsive UIs. Currently working with: Tech Stack: Backend: Python (FastAPI, Django), Node.js Frontend: React, Next.js DB: MongoDB, PostgreSQL DevOps: Docker, CI/CD, Kubernetes GenAI: OpenAI, LangChain, RAG pipelines What I Do: Build MVPs for startups Design scalable APIs and microservices Automate workflows and internal tools Create backend for AI products Recent Projects: AI Copilot that converts text into working APIs DNS automation engine for devops teams Chat ... ... vishu242@live.com Comment from Soul Lenz(@eliza_pogorilska): Welcome on Product Hunt! Happy to connect! Comment from Matt Carroll(@catt_marroll): have you ever worked with websockets and fastapi? any advice if so? Comment from Soul Lenz(@eliza_pogorilska): @vsvaibhav2016

... spent the past 6 months quietly rebuilding Pythagora from the ground up. V1 worked, but we wanted more. So we listened to every feature request and rebuilt the product to meet them. Next week, we re launching Pythagora