Hello Everyone! π
I'm Giuseppe, building LogWard in public, and I want to engage with the open-source community in a conversation about OUR projects.
I think it will be super interesting to exchange feedback publicly on our software!
I'll start with mine, then drop yours in the comments!
π‘οΈ My Project: LogWard
Repository: github.com/logward-dev/logward
π Description
LogWard is an open-source log management and observability platform. It's a lightweight alternative to Datadog/Splunk designed for developers who want:
- Simple deployment: 5-minute Docker setup
- Privacy-first approach: Self-hosted or EU-based cloud
- Developer experience: Clean UI built with SvelteKit 5
- No vendor lock-in: Open standards (OpenTelemetry, SQL)
β¨ Key Features
1. Easy Setup
- One-line Docker deployment:
docker compose up -d - Interactive tutorial for first-time users (reduced setup time from 15min β 3min)
- Pre-built Docker images (no compilation needed)
2. Log Management
- Real-time log streaming (Live Tail)
- Full-text search with powerful filters
- Multi-organization architecture for team isolation
3. Observability
- OpenTelemetry support (logs + distributed tracing)
- Service dependency visualization
- Performance monitoring with span timelines
4. Modern Tech Stack
- Frontend: SvelteKit 5 (Runes) + Tailwind + shadcn-svelte
- Backend: Fastify + TypeScript
- Database: TimescaleDB (Postgres for time-series data)
- Queue: Redis + BullMQ
π Achievements
In 2 weeks since launch:
- β 110+ GitHub stars
- π³ 1000+ Docker Hub pulls
- π₯ 300+ active users on the free cloud tier
- π° Featured on VirtualizationHowto.com
- π 3x activation rate after adding interactive onboarding (23% β 67%)
Growing at ~10 new users per day!
π― Why I Built This
The problem:
Existing log management tools are either:
- Too expensive: Datadog/Splunk cost $$$$ at scale
- Too complex: ELK Stack requires 16GB+ RAM and expert setup
- Not privacy-friendly: Data sent to US clouds (GDPR concerns for EU companies)
My solution:
- Runs on a $5/month VPS (or even a Raspberry Pi!)
- Deploy with one command:
docker compose up -d - Keep your data in your infrastructure (or use our EU cloud)
- Built with modern tech that developers actually enjoy using
π¬ I'd Love Your Feedback!
Since you're here, I have a few questions:
1. What would make you try LogWard?
- Better documentation?
- Video tutorials?
- Specific integrations (Slack, PagerDuty, etc.)?
2. Deployment: Cloud vs Self-Hosted?
We offer both options. Do you prefer:
- Managing your own infrastructure (full control)
- Paying for managed hosting (convenience)
3. What features are missing?
Is there something you'd need that would make LogWard perfect for your use case?
π€ Now Show Me Yours!
Drop your open-source project in the comments using this format:
Project Name:
Repository:
Description: (What does it do?)
Tech Stack:
Biggest Achievement:
What you're working on next:
I'll check out every single project and leave genuine feedback! π
π LogWard Links
- π» GitHub (give us a star!): github.com/logward-dev/logward
- βοΈ Try Free Cloud: logward.dev
- π Documentation: logward.dev/docs
Would you like to participate in this public exchange of feedback/showcase of your projects? Let's support each other!
Drop your project belowβI'm excited to see what you're building! π
Top comments (52)
Project Name: pygeoif
Repository: github.com/cleder/pygeoif
Description: Provides basic data structures and algorithms for geospatial data
Tech Stack: #Python
Biggest Achievement: In top 1% of PyPI downloads
Project Name: fastkml
Repository: github.com/cleder/fastkml
Description: Processing of KML (an XML dialect) files. This is the native format for google earth.
Tech Stack: #Python
Biggest Achievement: In top 1% of PyPI downloads
Currently, I am working on:
Project Name: brkrs
Repository: github.com/cleder/brkrs
Description: An Arkanoid/Breakout style game, longer answer here
Tech Stack: #Rust, #Bevy
Biggest Achievement: None so far, but it is coming along nicely ;-)
Two projects in 1% of PyPI, that's impressive.
I was watching brkrs because i really want to learn rust^^
Can you share
brkrson your socials? I'd love to increase the outreach and attract contributors.I documented my experiences so far, in the wiki - to be turned into a blog post when I get time
of course
I just built Snapgroove - a browser-based screenshot editor: Snapgroove (Open-source)
What it does:
Built with Next.js and TypeScript.
I'd love feedback on the design, speed, or features I should add.
Wooo, really cool. I would add a desktop app, that to the screenshot and after you can directly edit or publish ecc
Wow, I love this! Definitely saving it.
Are you going to keep the project as it is or do you plan to add things like drawing as well?
Glad to hear you liked worth saving it, And i am currently working on adding some more new functionalities, Like cope image on the spot, more frames, aspect-ratio for specific social media's like twitter, YouTube thumbnail size etc..
Project Name: Carific.ai
Repository: github.com/ImAbdullahJan/carific.ai
Description: An open-source, AI-powered career development platform. Not just one tool - a suite of focused agents that each solve one specific career problem well.
Current Features:
π Resume Analyzer - Upload resume + job description β get specific bullet rewrites, missing keywords categorized by skill type (Hard/Soft/Domain), section completeness checks. No generic advice.
Roadmap:
π― Interview Coach - Role-specific questions, answer feedback, STAR method coaching
πΊοΈ Career Path Generator - Personalized 3-12 month learning roadmaps based on your target role
πͺ Daily Micro-practice - Short exercises to build career skills over time
π€ Voice Mock Interviews - Practice with AI, get real-time feedback
π Integrations - LinkedIn, job boards, ATS optimization
Tech Stack:
Next.js 16 + React 19 + Tailwind + shadcn/ui
Vercel AI SDK + Zod (structured output, no AI slop)
Better Auth + Prisma + PostgreSQL
MIT Licensed - fork it, learn from it, contribute
Biggest Achievement: Solved the "AI slop" problem. The AI was suggesting "Spearheaded cross-functional initiatives..." - classic ChatGPT resume speak. Built structured JSON output with Zod validation and explicit banned word lists. Now every suggestion is specific, actionable, and tied to the user's actual content.
What I'm working on next: ATS compatibility checks and Interview Coach MVP.
This is really well thought out
The Zod validation + banned words list is smart. Do you fine-tune prompts per role or is it more about constraining the output format?
Also love that you're tackling this as focused agents instead of one monolithic tool. The "do one thing well" philosophy scales way better.
I suppose our open source OpenDataLoader PDF for AI will help you in daily routine tasks github.com/opendataloader-project/...
absolutely, everything that can help with the prompt it's good
This is really impressive workβclear vision, strong execution, and the traction youβve achieved so quickly says a lot about the productβs value. Iβm genuinely interested in LogWard and would love to follow along, explore it deeper, and exchange feedback on our projects.
Thank you so much! That means a lot
The traction has been surprising honestly. I think we hit a sweet spot between "too complex" (ELK) and "too expensive" (Datadog). Developers just want something that just works
What kind of project are you working on?
Iβm looking for a reliable, talented collaborator whoβs interested in long-term growth and building something truly impactful together with my technical support
Project Name: Warframe Shiopping List
Repository: github.com/Solo-Web-Works/WF-Shop
Description: Using the API provided by warframe.market, it allows you to build an at-a-glance list of items from other players in Warframe. Stores periodic item refresh calls locally to avoid hitting limits on the API.
Tech Stack: PHP & Javascript
Biggest Achievement: This is the first project of this scale Iβve released publicly. It incorporates REST-like API endpoints in PHP that the Javascript calls to perform functions on the front end.
What you're working on next: On this particular project, Iβd really like to change the interface. Iβm not a designer, and I was going for a single-page thing that you can have running on a second screen (or in a launcher overlay via Steam or whatever) while youβre playing.
Cool (and nice game)
Great!
Project Name: qrcode-beautify
Repository: github.com/chaihuibin926/qrcode-be...
Description: Create visually appealing QR codes effortlessly with qrcode-beautify
Tech Stack: #JavaScript
Biggest Achievement: Not much use
Cool, add some visual examples on the README. So you can engage more users
Project Name: QNote
Repository: github.com/piotr-daniel/qnote
Description: QNote is a terminal-based, local-first, note-taking app powered by Textual.
It provides a fast, intuitive, and visually appealing way to manage your notes directly in the terminal.
Why QNote? - Because taking a quick note shouldnβt feel like a project.
Tech Stack: #Python
Biggest Achievement: Launching version 0.1.0 on PyPI and testing functionality on Linux & Windows.
What you're working on next: This is my main project at the moment as there's a lot planned in the roadmap and I am actually already using it at work so I'm sure I'll come up with lots of ideas to deal with. It's a very early working version.
Really cool, TUI > GUI. Also i love the top right matrix, maybe you can do it customizable
Thank you :) - the matrix is customisable already, in the way that you could select different style (matrix rain, snake game, or a static)
Project Name: CodeBuddy
Repository:
github.com/olasunkanmi-SE/codebuddy
Description: CodeBuddy is an advanced AI-powered VS Code coding assistant that features an agentic architecture with specialized sub-agents, tool orchestration, and multi-model support. It transforms your development workflow with intelligent code assistance, autonomous task execution, and deep codebase understanding.
Tech Stack: #Typescript
Agentic Framework: #LangChain #DeepAgent
Language supports: Typescript, Python, Javascript, Golang, Java, Rust, PHP
Achievements: Almost 1000 downloads in both VSCode marketplace and open-vsx.org Marketplace.
What you're working on next: Codubuddy is evolving.
If you find this extension useful, please give it a star, and if you are interested in contributing, Fork the repo.
Nice project, will you also release a version for jetbrain IDEs?
Never thought about it actually. But I will give it a try.
π Projects
CodeCharm
Repository:
github.com/DeveloperPuneet/CodeCharm
Description:
CodeCharm is an AI-powered VS Code extension that generates inline, emoji-rich code comments and refactors code for better readability using Google Gemini models. It also supports executing custom
cmd()instructions embedded directly in code before commenting or refactoring.Tech Stack:
Biggest Achievement:
Implemented a robust multi-model fallback system across multiple Gemini models with secure API key handling and keyboard-first workflows.
500+ downloads
What you're working on next:
Improving
cmd()instruction intelligence and deeper, cleaner refactoring logic.Elf-Owl-AI
Repository:
github.com/DeveloperPuneet/Elf-Owl-AI
Description:
Elf Owl AI is a mood-adaptive conversational intelligence capable of responding with emotional awareness, personality, and contextual depth across 24 distinct moods β blending logic, creativity, and expressive tone.
Tech Stack:
Biggest Achievement:
Designed a 24-mood adaptive system controlling tone, vocabulary, emoji usage, and sentence rhythm for emotionally consistent conversations.
What you're working on next:
Long-term contextual memory and smoother emotional transitions.
ProblemPad
Repository:
github.com/DeveloperPuneet/ProblemPad
Description:
ProblemPad is a collaborative platform where users can submit problems using text or audio, discuss them in communities, and track resolutions efficiently.
Tech Stack:
Biggest Achievement:
Integrated audio-based problem submission with a clean, community-driven workflow to reduce miscommunication and speed up problem-solving.
What you're working on next:
Role-based moderation, improved issue tracking, and real-time collaboration features.
This is a valuable initiative that highlights how open source not only demonstrates technical skill, but also communication, collaboration, and long-term thinkingβqualities that matter just as much as code quality in real-world engineering.
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