Electret Mic Preamp Circuit

Hacker News

I built a studio-quality electret mic preamp that’s all about low noise, high gain, and super clean audio — and the best part? It uses easy-to-find components. This is my own design, not based on the usual TI or Analog Devices reference circuits. I ran tons of simulations in LTspice before actually building it, just to make sure everything checked out. Everything’s open-source — schematics, design notes, and step-by-step build guide — so feel free to copy it, tweak it, or make it better. Here's a quick demo of how it sounds: https://youtu.be/RZR_PrxcBBU?si=9gN_5yx09bwNFjba I spent over a month diving into research, testing, and fine-tuning. Would love to hear what you think!

Visit product View on Hacker NewsJun 26, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: notes, open · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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