# theforecastingcompany/tfc-t0 > t0 is an open-weights time-series forecasting foundation model from The Forecasting Company that produces probabilistic forecasts using historical and known-future covariates. - Magnitude: 1.4 out of 10 — Quiet - Stars: 49 total · +3 stars measured 2026-10-14, 15:18–17:22 UTC, ≈ 4 by evening - Star trust: star growth looks organic - Category: Science & research · Language: Jupyter Notebook · License: Apache-2.0 · Created: 2026-06-09 · Last push: 2026-10-14 - GitHub: https://github.com/theforecastingcompany/tfc-t0 · Homepage: https://theforecastingcompany.com · Page: https://gitnova.dev/en/r/theforecastingcompany/tfc-t0 ## Useful for - Forecast hourly electricity prices using weather and holiday covariates - Produce probabilistic demand forecasts with 0.1/0.5/0.9 quantiles - Run batched forecasts for multiple series of different lengths via batch_series ## Why it’s here - Star-counter measurements on 2026-10-14 (UTC), 15:18–17:22: 46 → 49 stars (+3). This is the change over that interval. - Estimated end-of-day forecast: about +4 stars, using observed gains and the previous day. - Hacker News: “Show HN: T0: We trained a 256M SOTA open-weights time-series forecasting model” — 11 points, 2 h ago. ## 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: 5 - Issues and pull requests: 17 - Watchers: 0 - Average over the last week: 1 per day - Usual pace: 0 per day - Stars in the last hour (measured): 2 - Latest release: v0.6.0 (2026-10-13) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-15 … 2026-10-14: 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 1, 3 ## Hacker News - Show HN: T0: We trained a 256M SOTA open-weights time-series forecasting model — 11 points, 0 comments: https://news.ycombinator.com/item?id=50088582 ## Spotted in now - Spotted on Hacker News ## More in this category 1. **StoopwenpueNq/jackie-fmri-sim** — 7.4 · Early signal · Science & research · Python · +332 stars measured 2026-10-14, 12:36–17:09 UTC, ≈ 423 by evening A Python framework that reconstructs a digital twin of a dog's emotional and brain-region state from real fMRI, EEG, and physiological recordings across six sessions. It lets you query textual stimuli and returns an interpretable… Full card: https://gitnova.dev/en/r/StoopwenpueNq/jackie-fmri-sim.md 2. **chrislgarry/Apollo-11** — 5.2 · Peaking · Science & research · Assembly · +67 stars measured 2026-10-14, 00:37–17:09 UTC, ≈ 101 by evening Digitized original Apollo 11 Guidance Computer (AGC) assembly source code for the command and lunar modules, transcribed from MIT Museum scans. Full card: https://gitnova.dev/en/r/chrislgarry/Apollo-11.md 3. **rzc156/dreamforge** — 4.3 · Early signal · Science & research · Python · +3 stars measured 2026-10-14, 00:01–17:10 UTC, ≈ 12 by evening A single-GPU research pipeline that turns world-model imagination into corrective training data for robot policies, verifying every correction by replaying it in the LIBERO simulator. Full card: https://gitnova.dev/en/r/rzc156/dreamforge.md 4. **siyunhao2025-beep/paper-menu** — 3.8 · Early signal · Science & research · Python · +27 stars measured 2026-10-14, 00:39–17:11 UTC, ≈ 38 by evening A Codex Skill for managing research projects: it scans installed Skills, produces a call menu with duplicate and conflict checks, creates a fixed six-folder structure, and audits evidence through to LaTeX, PDF, and Word delivery. Full card: https://gitnova.dev/en/r/siyunhao2025-beep/paper-menu.md 5. **CrocSwap/integer-mult-bounds** — 3.4 · Early signal · Science & research · Python · +13 stars measured 2026-10-14, 00:38–17:12 UTC, ≈ 19 by evening A research repository of community proofs improving the asymptotic exponent for integer multiplication (κ > 2^-15), with certificates, Lean checks and reproducible audits. Full card: https://gitnova.dev/en/r/CrocSwap/integer-mult-bounds.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 2026-10-14 17:26 UTC, updated every 30 minutes.