Postingan

Show HN: User.mom – Everything you need to reach Product-Market-Fit https://ift.tt/QAYm2Cx

Show HN: User.mom – Everything you need to reach Product-Market-Fit I've been building side projects for over a decade. Most failed to find Product‑Market‑Fit - I know the frustration of shipping features that don't stick. The painful truth I learned: many teams chase features over feedback. Worse, most feedback is shallow or useless because people avoid being critical. So I built user.mom to fix the process, not just add another tool. It maps the full PMF journey: Landing Pages to validate demand, Surveys to gather structured signals, Feedback Boards to organize requests, Customer Voting to prioritize, and Integrations (CSV, webhooks, API) to scale what works. If you’re tired of guessing what customers want, start your PMF workflow - the first product is free for every user. https://user.mom December 15, 2025 at 01:29AM

Show HN: Open-source customizable AI voice dictation built on Pipecat https://ift.tt/LyF7wsZ

Show HN: Open-source customizable AI voice dictation built on Pipecat Tambourine is an open source, fully customizable voice dictation system that lets you control STT/ASR, LLM formatting, and prompts for inserting clean text into any app. I have been building this on the side for a few weeks. What motivated it was wanting a customizable version of Wispr Flow where I could fully control the models, formatting, and behavior of the system, rather than relying on a black box. Tambourine is built directly on top of Pipecat and relies on its modular voice agent framework. The back end is a local Python server that uses Pipecat to stitch together STT and LLM models into a single pipeline. This modularity is what makes it easy to swap providers, experiment with different setups, and maintain fine-grained control over the voice AI. I shared an early version with friends and recently presented it at my local Claude Code meetup. The response was overwhelmingly positive, and I was encouraged to s...

Show HN: Depup – a dependency upgrade advisor for Python projects https://ift.tt/yMA0PjO

Show HN: Depup – a dependency upgrade advisor for Python projects I built depup, a CLI tool to scan Python dependencies, check PyPI versions, classify upgrade impact, and support CI workflows. Docs: https://saran-damm.github.io/depup/ Repo: https://ift.tt/HutcrN6 https://ift.tt/sdfXCY6 December 15, 2025 at 12:06AM

Show HN: Soup.lua: making Lua do what it shouldn't https://ift.tt/qn1sp7A

Show HN: Soup.lua: making Lua do what it shouldn't https://ift.tt/YEkoa98 December 14, 2025 at 02:03AM

Show HN: WineBar: A yet another Wine prefix manager, with Asahi Linux support https://ift.tt/ASl9JDx

Show HN: WineBar: A yet another Wine prefix manager, with Asahi Linux support My daily driver is a Macbook Air M2 running Linux - Fedora Asahi Remix to be precise. One thing I missed when using it is the ability to occasionally run Windows software using Wine. Apparently, you can run Steam on it and apparently Steam allows installing and running arbitrary Windows software, but when I tried it, I couldn't create an account and in general, I'd rather not use Stream. I succeeded running and older version of Heroic Games Launcher [1] under muvm (a virtual machine that runs a 4K page kernel on a 16K one). That wasn't terribly easy though and I wanted a better experience. My other problem with Heroic and with other launchers focused on games is the lack of flexibility - they either work for a particular piece of software or they don't, and you can't do anything about it. For instance, an installer may require a certain package to be installed using Winetricks [2], before ...

Show HN: I audited 500 K8s pods. Java wastes ~48% RAM, Go ~18% https://ift.tt/PiK0A7u

Show HN: I audited 500 K8s pods. Java wastes ~48% RAM, Go ~18% https://ift.tt/6VNULSH December 13, 2025 at 10:23PM

Show HN: AI system 60x faster than ChatGPT – built by combat vet with no degree https://ift.tt/TaPCsfz

Show HN: AI system 60x faster than ChatGPT – built by combat vet with no degree I'm a combat veteran living paycheck to paycheck with no computer science degree. I built an AI system that benchmarks 60x faster than industry leaders. Real benchmarks (Dec 12, 2025): - 3.43ms response time (vs 50-200ms industry average) - 337 queries/second (vs 50-150) - 0% error rate, 100% uptime - Constitutional AI with 1,235 specialized "brains" Built it in 3 weeks. 4 U.S. patents pending. Full story + independent benchmarks: https://ift.tt/PAwRZjy Not asking for money. Just need technical validators to verify this is real. December 12, 2025 at 11:24PM