Fluent, tiny lang for reactivity and autograd
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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!
HN · launched Jul 17, 2026 · 6 upvotes (top 71%) · 0 views
Niche: programming languages and interpreters · 161 launches, 2 in the last 7 days ▼ -75% · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- Developer
- Not AI
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 161 launches in programming languages and interpreters →
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 : 221 launches clear the similarity bar, closest 8 shown.
Attention rank: #164 of 222 (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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