fourier-transform-below-nlogn
Improved exponent bounds for the exact discrete Fourier transform, building on OpenAI Math Problem #130.
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Details
- External ID
- 1410566944
- Source
- GITHUB
- Company
- —
- Product
- fourier-transform-below-nlogn
- Website domain
- github.com
- Launched
- Oct. 8, 2026
- Cohort
- —
- Upvotes
- 15
- Upvotes percentile
- 0.30
- Tags
- —
Enrichment
- Niche
- specialized algorithms and computing libraries
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- sub-nlogn discrete fourier transform algorithm
- Manually corrected
- False
Could you build this?
No Improving mathematical theoretical bounds on the discrete Fourier transform below O(n log n) is pure cutting-edge theoretical computer science and mathematics research.
What it would actually take: Requires advanced computational complexity theory, algebraic complexity, and polynomial multiplication research. The work involves proving new asymptotic tensor rank bounds or bilinear complexity theorems rather than traditional software architecture. Requires world-class theoretical computer scientists or mathematicians.
Competitors
Other products that read as similar to this one — 976 launches clear the similarity bar, closest 8 shown.
Attention rank: #602 of 977 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 342 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.