This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
What you get
Typed LLM calls — output schema is a language type; violations trigger automatic repair, never reach your code
Effect system — pure / LLM / Tool / IO effects inferred and shown in signatures
Deterministic replay — full, hybrid, and live modes; traces are git-friendly JSONL
Budget contracts — per-call, per-run, and per-repair USD ceilings (NUDGE_REPAIR_BUDGET) with static estimation (nudgec cost)
Checkpointed agent state — crash, then nudge resume from the last checkpoint
Native parallelism — par map, par race, par all with compile-time race safety
Prompt Clippy — the compiler lints your llm""" blocks: vague instructions, missing output contracts, overlong prompts
MCP & Python interop — consume real MCP servers over stdio as typed tools; escape to any pip package
Real providers — one stdlib-only adapter for OpenAI / Gemini / Groq / MiMo / Mistral / Anthropic / Ollama; free tiers and local models work at $0
Trace viewer — nudgec trace-view opens a local web UI over any run: timeline, tokens, cost, repairs highlighted, par lanes color-coded (NTF v1.1 branch field)
Trace diff — nudgec trace-diff a.jsonl b.jsonl answers "what changed when I edited the prompt?": totals and per-record deltas
A2A agent-card export, LSP, OpenTelemetry — built in, not bolted on
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About GitHub on Product Hunt
“AI,LLM,Programing-langue,a2a”
GitHub was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #104 on the daily leaderboard. A typed, replayable, budget-aware programming language for LLM agents. Compiles to Python & TypeScript. - NekomyaDev/nudge
GitHub was featured in GitHub (41.4k followers) on Product Hunt. Together, these topics include over 29.6k products, making this a competitive space to launch in.
Who hunted GitHub ?
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