Fluent, tiny lang for reactivity and autograd
Details
- External ID
- 48951565
- Source
- HN
- Company
- —
- Product
- Fluent, tiny lang for reactivity and autograd
- Website domain
- github.io
- Launched
- July 17, 2026
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.2873357228195938
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
After six months of work, I am here again presenting Fluent – a tiny lang which is optimized for differentiable & reactive programming.Since I am not Conal Elliot, don't expect a beautiful theoretical unification of FRP and AD from first principles. Rather, a horrific monster that holds together mostly because a lot of duct-tape.The link points to the semi-interactive tour of the language, which will get the job done much better than I could in here.Hope you hate/like it!
Enrichment
- Theme
- voice AI agents and infrastructure
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- lightweight language for reactivity and autograd
- Manually corrected
- False
Could you build this?
No Creating a new programming language implementing both functional reactive programming (FRP) and reverse-mode automatic differentiation (autograd) is a specialized academic and compiler engineering challenge.
What it would actually take: Requires implementing custom computational graph execution, symbolic or reverse-mode automatic differentiation algorithms, and reactive dependency graph evaluation semantics. The domain demands advanced mathematics, computational science, and deep language runtime design skills that cannot be vibe-coded.
Discussion
2 comments analyzed.
Competitors mentioned: Languages with exact derivative calculation
Concerns raised: FRP and AD unification currently a disaster with tech debt, Unclear if this solves problems more efficiently than existing solutions
Competitors
Other products that read as similar to this one — 86 launches clear the similarity bar, closest 8 shown.
Attention rank: #64 of 87 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 259 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
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