What are you building, and what does your stack look like?
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I am a Computer Science student doing research into how solopreneurs and small startups create new apps and what their stack looks like. Particularly, I'm interested in how you handle things like authentication, billing, and permissions/authorization in your apps.
Let me know what you're working on below and how you're going about it -- I'd love to connect for some quick calls to learn about your product and talk about your process in building it!
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Building vibepreneur.com — a platform that validates micro-SaaS niches before you build. Stack: Next.js, Supabase, Claude for research synthesis, Airtable for content pipeline. Auth via Supabase, payments via Stripe. The interesting part of our stack is the validation pipeline: we use a mix of Reddit signal analysis, Product Hunt launch data, and real buyer intent patterns to score niches. The insight we kept hitting: most solopreneurs pick markets too broad and get crushed by incumbents, or too niche and find no buyers. We're building the gap between idea and first paying customer. Always happy to trade notes with other indie builders on what's working for auth and billing — the boilerplate stuff eats more time than it should.
I just launched Amplitron, a free open-source guitar amp simulator!
Tech stack:
• C++17 with PortAudio for low-latency audio I/O (~1.3ms latency with 64-sample buffer at 48kHz)
• Dear ImGui for the visual pedalboard UI (drag-and-drop interface)
• Cross-platform: Windows, macOS, Linux
• 9 custom DSP effects: Noise Gate, Compressor, Overdrive, Distortion, EQ, Chorus, Delay, Reverb, Cabinet Sim
• CI/CD with automatic builds/tests on all 3 platforms
• Thread-safe audio pipeline using try_lock to prevent UI blocking
It's all open source on GitHub. Built it because commercial amp sims are expensive for casual home practice. Would love to hear from other audio devs interested in contributing!
https://www.producthunt.com/products/amplitron
https://github.com/sudip-mondal-...
Building InterviewAI an AI mock interviewer that speaks to you in real-time, asks follow-up questions,
and gives instant feedback. Stack: Next.js 15, Groq (llama-3.3-70b for questions + Whisper for
speech-to-text), Web Speech API for TTS. Biggest challenge was making the AI sound like a real interviewer
and not a chatbot 😅