# deepfates/imp > A port of DSPy to the BEAM: declarative LM programs in Elixir with signatures, optimizers and agents running as OTP processes. - Magnitude: 6.1 out of 10 — Early signal - Stars: 94 total · +0 stars today, ≈ 90 by evening - Star trust: star growth looks organic - Category: Language models · Language: Elixir · License: MIT · Created: 2026-07-10 · Last push: 2026-09-27 - GitHub: https://github.com/deepfates/imp · Homepage: https://hex.pm/packages/imp · Page: https://gitnova.dev/en/r/deepfates/imp ## Useful for - Declare a typed model call via a signature instead of writing prompts and parsers - Run GEPA optimization of a program against labeled examples and a metric - Start a ReAct agent with tools as a supervised process with call authorization ## Why it’s here - 0 stars so far today, about 90 expected by the end of the day. The usual pace is 0 per day, so that's 90× as much. - Before this, the repository barely got any stars — about 0 per day. - The spike has held for 2 days in a row — not a one-off blip. - Hacker News: “Imp is a full port of DSPy to the BEAM” — 38 points, 4 h ago. - About 55 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 6 - Issues and pull requests: 235 - Watchers: 0 - Average over the last week: 26 per day - Usual pace: 0 per day - Stars in the last hour (measured): 16 - Latest release: v0.5.0 (2026-09-27) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-08-30 … 2026-09-28: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 91, 0 ## Magnitude by day, last 2 days 09-27 5.3, 09-28 6.1 ## Hacker News - Imp is a full port of DSPy to the BEAM — 38 points, 5 comments: https://news.ycombinator.com/item?id=49869995 ## Spotted in now - Spotted on Hacker News ## More in this category 1. **Niko1221/Strata** — 7.1 · Early signal · Language models · C++ · +0 stars today, ≈ 248 by evening A C++ local inference engine that runs the 125B MoE model Qwen3.8-Flash-Next on a regular PC with one NVIDIA GPU (12-24 GB) and 64 GB RAM, exposing an OpenAI/Anthropic-compatible API on localhost. Full card: https://gitnova.dev/en/r/Niko1221/Strata.md 2. **ollaya-dev/ollaya** — 6.7 · Early signal · Language models · Rust · +0 stars today, ≈ 196 by evening A local runtime for decision models: pulls and serves classification and routing models behind a TypeSafe-compatible API. Like Ollama, but for models that return probabilities instead of text. Full card: https://gitnova.dev/en/r/ollaya-dev/ollaya.md 3. **Mapika/decider** — 5.1 · Breakout · Language models · Python · +0 stars today, ≈ 284 by evening A language model that does not generate text: from a single forward pass it returns calibrated probabilities for typed questions (Choice, Score, Noul) about a given state. An open reproduction of the "System One" model class built on… Full card: https://gitnova.dev/en/r/Mapika/decider.md 4. **NVIDIA/Model-Optimizer** — 4.6 · Breakout · Language models · Python · +0 stars today, ≈ 110 by evening NVIDIA library for compressing and accelerating models: quantization, pruning, distillation, NAS and speculative decoding with export to TensorRT-LLM, vLLM, SGLang. For ML engineers preparing models for deployment. Full card: https://gitnova.dev/en/r/NVIDIA/Model-Optimizer.md 5. **InternLM/Intern-Decision** — 4.1 · Early signal · Language models · Python · +0 stars today, ≈ 33 by evening A multimodal decision model built on Qwen3.5 that turns a state, optional images, and typed questions (choice, score, yes/no) into decisions with probabilities. Ships with training, two inference backends, temperature calibration, and a… Full card: https://gitnova.dev/en/r/InternLM/Intern-Decision.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-28 00:05 UTC, updated every 30 minutes.