I used AI to recreate a $4000 piece of audio hardware as a plugin
Details
- External ID
- 46471648
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- Jan. 3, 2026
- Cohort
- —
- Upvotes
- 160
- Upvotes percentile
- 0.9479578392621871
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hi Hacker News,This is definitely out of my comfort zone.I just wanted to show you guys because I'm super proud of it. It's a 100% faithful recreation based off of the schematics, patents, and ROMs that were found online.So please watch the video and tell me what you thinkhttps://youtu.be/auOlZXI1VxAThe reason why I think this is relevant is because I've been a programmer for 25 years and AI scares the shit out of me.I'm not a programmer anymore. I'm something else now. I don't know what it is but it's multi-disciplinary, and it doesn't involve writing code myself--for better or worse!Thanks!
Enrichment
- Theme
- indie hacker passion projects
- Vertical
- Media & entertainment
- Function
- Content generation
- Audience
- Prosumer
- AI stance
- AI feature
- Project type
- Hobby / open-source project
- Normalized one-liner
- ai-recreated audio hardware plugin
- Manually corrected
- False
Could you build this?
No Recreating proprietary $4000 audio hardware as an exact digital plugin requires deep digital signal processing (DSP), circuit schematics interpretation, and audio DSP framework (JUCE/C++) expertise.
What it would actually take: Building this requires extracting and decoding vintage ROM firmware, modeling analog circuitry via nodal analysis or WDF (Wave Digital Filters), and implementing realtime DSP routines in C++ with JUCE. The primary barrier is specialized audio DSP engineering and reverse-engineering complex circuit patents without introducing latency or aliasing artifacts.
Discussion
20 comments analyzed.
Competitors mentioned: UM-282, Ursa Major plugin, freeverb, Mesa Mark IIC+ preamp simulator
Concerns raised: Software becomes disposable with lower quality and shorter shelf-life, Difficulty capturing thousands of business requirements and edge cases in AI-generated iterations, Communities need stable, long-lived software to foster, AI-generated code may be regurgitated from existing implementations, Programmers' demand and pay will decrease as supply increases
Competitors
Other products that read as similar to this one — 502 launches clear the similarity bar, closest 8 shown.
Attention rank: #26 of 503 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 66 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a content generation tool for Government yet.