Robotics: founders and companies, Skoored
Thesis: Anti Fund — technical founders in robotics, defense, energy, semiconductors. Computed 2026-10-19 04:56 UTC from 196 sector repos, 465 papers, 278 YC companies. Scored where n ≥ 3 observations: 22 of 1824 people, 163 of 345 companies. Everyone else is unscored, not low.
Technical founders
| Skoor | Who and why | Handle |
|---|---|---|
| 95 n=6 · c=1.00 | earthtojake memo | @earthtojake |
| 60 n=4 · c=0.80 | Jaiveer Bassi memo | @imjbassi |
| 55 n=3 · c=0.70 | Yeonseok Lee memo | @ylee-sling |
| 50 n=4 · c=0.80 | Kevin Zakka memo | @kevinzakka |
| 50 n=3 · c=0.70 | Ryohei Sasaki memo | @rsasaki0109 |
| 48 n=4 · c=0.80 | Nick Aleks memo
| @nicholasaleks |
| 45 n=3 · c=0.70 | Guangcheng Chen memo | @GCChen97 |
| 40 n=4 · c=0.80 | Andrew Tridgell
| @tridge |
| 38 n=4 · c=0.80 | Tianxing Chen (陈天行)
| @TianxingChen |
| 37 n=4 · c=0.80 | Davide Faconti | @facontidavide |
| 35 n=3 · c=0.70 | Clemens Elflein | @ClemensElflein |
| 35 n=3 · c=0.70 | Julian Oes
| @julianoes |
| 35 n=3 · c=0.70 | Peter Barker
| @peterbarker |
| 35 n=3 · c=0.70 | Yuval Tassa
| @yuvaltassa |
| 35 n=3 · c=0.70 | xiange | @xiangechen |
| 32 n=3 · c=0.70 | Amy Zhou
| @amywork777 |
| 30 n=3 · c=0.70 | Peter Corke
| @petercorke |
| 30 n=3 · c=0.70 | treston
| @trestoncuzzort |
| 25 n=3 · c=0.70 | Philipp Oppermann
| @phil-opp |
| 23 n=3 · c=0.70 | Zhedong Zheng | @layumi |
Companies
| Skoor | Who and why | Id |
|---|---|---|
| 100 n=9 · c=1.00 | robocurveSummer 2026team 3 memo | robocurve |
| 80 n=8 · c=1.00 | Hebbian Robotics (YC S26)Summer 2026team 2 memo | Hebbian-Robotics |
| 80 n=7 · c=1.00 | InnateFall 2024team 7 memo | innate-inc |
| 80 n=7 · c=1.00 | Adam Winter 2025team 4 memo | Adam-CAD |
| 80 n=6 · c=1.00 | General InstinctSpring 2026team 2 memo | General-Instinct |
| 80 n=6 · c=1.00 | Maker's Pet memo | makerspet |
| 75 n=7 · c=1.00 | Waddle LabsSummer 2026team 2 memo | waddlelabs |
| 75 n=5 · c=0.90 | RLinf | RLinf |
| 65 n=5 · c=0.90 | NVIDIA Corporation | NVIDIA |
| 60 n=6 · c=1.00 | QuestDBSummer 2020 | questdb |
| 55 n=4 · c=0.80 | Dexmal | dexmal |
| 55 n=4 · c=0.80 | KingKong Robotics | KingKongRobotics |
| 50 n=4 · c=0.80 | NVIDIA Isaac Sim | isaac-sim |
| 50 n=3 · c=0.70 | PhyAgentOS | PhyAgentOS |
| 50 n=3 · c=0.70 | Tangency Labs | tangency-labs |
| 50 n=3 · c=0.70 | mujocolab | mujocolab |
| 45 n=5 · c=0.90 | mbodi aiSpring 2025team 6 | mbodiai |
| 45 n=5 · c=0.90 | Google DeepMind | google-deepmind |
| 45 n=4 · c=0.80 | Polymath RoboticsSummer 2022team 25 | polymathrobotics |
| 45 n=4 · c=0.80 | ROS Navigation | ros-navigation |
How to read it. A Skoor is 0 to 100, additive: each line is a signal that fired, with its weight under this thesis and a link to the evidence.
n is the count of distinct observations; below three the Skoor is null and the row is not on the board. c is confidence, 0.4 + 0.1 per observation, capped at 1.
Signals come from GitHub (activity, ownership, contributions, star counts sampled daily), arXiv (authorship, code links in abstracts), and the Y Combinator directory (batch, team size, hiring).
Star timelines are not public on GitHub as of October 2026, so velocity uses commits and daily snapshots, never reconstructed history. Weights are the fund's to edit:
bio.company_stealth 10
bio.founder_language 20
profile.followers_1k 5
profile.new_account_high_output 10
repo.core_committer 10
repo.multi_sector_committer 15
repo.owner_active 15
repo.owner_recent_breakout 25
repo.stars_per_month_high 10
research.lab_to_industry 10
research.recent_author 8
research.recent_first_author 15