I built a local AI-powered Ouija board with a fine-tuned 3B model
Details
- External ID
- 47169979
- Source
- HN
- Company
- —
- Product
- I built a local AI-powered Ouija board with a fine-tuned 3B model
- Website domain
- github.com
- Launched
- Feb. 26, 2026
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.28099730458221023
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Enrichment
- Theme
- Vertical
- Horizontal
- Function
- Hardware & robotics
- Audience
- B2C
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- ai-powered ouija board
- Manually corrected
- False
Could you build this?
Partial While prompting a local model via llama.cpp or Ollama is trivial, fine-tuning an open-weights 3B model and integrating it with specific hardware or interactive interfaces requires domain-specific ML workflow setup.
What it would actually take: Requires curating a stylized dataset, setting up LoRA/QLoRA fine-tuning pipelines using PyTorch/Unsloth, quantizing weights to GGUF format, and interfacing with a local inference engine. While AI can write the glue code, preparing training datasets and tuning hyper-parameters for coherent behavioral styling requires hands-on ML experimentation.
Discussion
5 comments analyzed.
Concerns raised: Real crisis detection needed for sensitive content
Feature requests: iOS version, UX feedback on board animations and planchette movement, Writeup/documentation of fine-tuning methodology
Competitors
Other products that read as similar to this one — 231 launches clear the similarity bar, closest 8 shown.
Attention rank: #170 of 232 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 120 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 hardware & robotics tool for Fintech yet.