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PPython Flet Global group🌐

Python Flet Global group🌐

@python_flet · group · Tech · indexed since 2026-09-29
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Hey guys! 👋 I just published Sherlock for Android. It’s a mobile GUI wrapper for the open-source Sherlock OSINT project, built with Flet. It features: 🔍 Real-time username scanning across 400+ sites 📊 Live progress tracking & offline DB support 📄 One-tap export to CSV/Excel right from your phone If you do OSINT on the go, give it a try and let me know what you think! 🚀 👉 https://play.google.com/store/apps/details?id=ng.kiri.sherlock
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Hey everyone! 👋 I built an app called Collab Shell to turn Google Colab into a native-feeling developer workbench on both desktop and mobile. If you ever wanted a local-feeling terminal and notebook IDE on your PC or phone without draining local resources or heating up your machine, this connects straight to remote Colab instances via WebSockets. Highlights: ⚡️ Native feel, remote power: Run interactive terminal TUIs, bash scripts, and Jupyter cells on cloud GPUs/TPUs. 📁 Built-in File Sync: Direct downloads, folder archiving, and Google Drive mounting. 🖥 Cross-Platform: Available for Android, Windows, and Linux (DEB, RPM, App/Tar.gz). Check out the releases below. Feedback and contributions are welcome! 🚀 👉 GitHub & Desktop Downloads: https://github.com/Nwokike/CollabShell/releases 👉 Play Store: https://play.google.com/store/apps/details?id=ng.kiri.collabshell
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📢 flet-mcp-server v1.0.2 is out Just pushed v1.0.2 of flet-mcp-server. The main idea is simple: give your AI coding agent access to the Flet version actually installed in your environment instead of having it guess based on training data. It can now: • inspect Flet controls, properties, events, and source • search the installed Flet source • look up icons, colors, APIs, docs, and examples • check installed packages and Flet version • discover official and community Flet packages • verify Flet code and return line-by-line diagnostics There are 16 tools in total, including verify_flet_code for catching some common Flet issues. Install with: uvx flet-mcp-server It uses stdio by default, with SSE and streamable HTTP available too. There’s also a Local Mode with FLET_MCP_VENV, so you can point it at your project’s own virtual environment. GitHub: https://github.com/Nwokike/flet-mcp-server Would love to hear what you think and what you'd like to see added.
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hi, what do you mean Exactly? Please tell me thanks
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We started a weekly Token Burn Leaderboard for devs on our gateway. Seeing what the top heavy users burn monthly makes official rates feel like a tax — 95% waste for the same Sonnet 5 / GPT-6 Asta calls. Zero 429s, drop-in OpenAI-compatible base URL for Cursor/Cline. Don't take my word for it; the $5 key lets you benchmark p95 against your own workload. DM me or ping @Yashagre for a free $5 test key 🤝
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Hey everyone. I’m building a local OpenAI-compatible router and I’d love you to set it up with your coding harnesses (Cursor, Cline, Claude Code, Continue, etc.) and stress-test it. There are several models available, including the new Mimo 2.6 Flash. Try it with real coding workloads and let me know what breaks, what’s fast, and what needs improvement. Please don’t paste any API keys, or share passwords, tokens, or personal/sensitive information with public AI models. https://router.kiri.ng/
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    Update: more models were added today, up to 50 models total (including Longcat 2.5 preview released today), with different rate limit tiers so you can always switch to another model on rate limit or just connect VPN. Keep stress-testing them with your coding harnesses and share what you find. https://router.kiri.ng/
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bandicam 2026-09-29 21-01-50-824.mp4 · 5.1 MB · click to show
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Who’s interested in building desktop apps like this with Python? I won’t code everything from scratch, I’ll show you the basics, and we’ll build a secure password manager together for everyday use.
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Nowadays, nobody writes all the code by hand, we’ll use AI to build it.
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    ngl ai writing the boilerplate is kinda the move, but you still gotta read what it spits out. sentx ai is good at reasoning thru the weird bits across langs
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Hello! My name is Carlos, and I’m developing a visual Flet editor where you can add elements and see in real time how they will look. The goal is to speed up the development process, since you don’t have to manually write the names of elements and their properties. It also makes Flet more accessible to people who aren’t programmers, allowing them to help build and design Flet applications. Note: The editor is still under development, so I’d really appreciate it if you could share any tips, suggestions, or bugs you come across while using it. 🔗 https://droplet-willow-water-2389.fly.dev/
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    I turned it into a reusable template, just keep following to the example
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