How to build a dual power supply and function generator around 8038 IC

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Hi, I'm learning electronics and documenting my way as I go. I'm periodically creating YouTube videos where I try to explain in simple terms what I've created, learned and understood, to help others who are also at a beginner level like me. Today I've created this video: DIY dual power supply & function generator! Explained! https://youtu.be/ybsgdeOz3js In this video I am showing and explaining: - how to build a straight-forward dual power supply: For input it uses a simple supply, such as a single battery. It offers 3 output pins: HIGH, LOW and MIDPOINT (aka positive, negative and 0) - how to build a signal generator, using the ICL8038 chip + some external components for selecting frequency, duty cycle, etc. - how to amplify the signal and optionally apply an offset to it and then present it to the output as a "usable" low impedance signal.

Visit product View on Hacker NewsNov 11, 2021

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

61%61% predicted probability of success on AppSumo, 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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: single, using, plain · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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