New startup ideas · Physical world · Robotics and physical world
startup idea
Partprint
A shared physics fingerprint for every machined part, so factories stop destroying samples to trust them.
Partprint retrofits cheap acoustic, thermal and spindle-current sensors onto CNC machines, presses and furnaces, and turns each part's production signature into a predicted mechanical property card.
- Software subscription
- Enterprise
- $10-100B market
- Network effects, winner takes most
- Global from day one
5/5
venture judge
11
similar startups, last 2 years (20 all-time)
96%
of 4 nearest real companies still alive
yes
8 matching federal grants and programs
Direction supported by government programs and grants
Scorecard
One score that balances how trendy the idea is, the demand for it and its potential for 100x, with competition measured relative to every other idea in the catalog. Recent startup trends first, government priorities second.
77
Idea Score, 0-100 · raw 46.9 x 1.64
Crowded
competition: more crowded than 75% of ideas · headwind x0.63
+4.2
government priorities, secondary (60 matching grants)
Trend
68
Is the wave forming now? 2025-26 entrants vs 2023-24, rounds since 2025, the sector's live-batch direction, the 2026 trend analyst.
- Entrants 2025-26 vs 2023-24 (similar companies)96
- Rounds announced 2025+ in the sector25
- Sector direction (live batch)100
- 2026 trend analyst50
Demand
52
Does anyone want it? YC's current RFS, companies already paid for something similar, the operator judge, founders' yes-rate in decks, readers who would run the test.
- YC asks for it (current RFS: idea / sector)30
- Someone already pays (similar companies, recent / all-time)100
- Operator judge: real pain25
100x potential
90
Can it return a fund? The venture judge (double weight), market-size and moat axes, neighbours still alive, the technologist judge.
- Venture judge100
- Market size axis67
- Moat axis100
- Neighbours still alive75
- Technologist judge100
Score = 100 x cbrt(Trend x Demand x 100x) x (1 - 0.5 x crowding) + government bonus (max 5), calibrated so the 95th-percentile idea scores 90 (order never changes). A geometric mean: a weak pillar cannot be papered over. Percentiles are among the 272 ideas in the catalog; the terms matched were shared, physics, fingerprint, machined, part, factories, stop, retrofits.
The idea in full
- What
- Partprint retrofits cheap acoustic, thermal and spindle-current sensors onto CNC machines, presses and furnaces, and turns each part's production signature into a predicted mechanical property card. To learn the mapping the company builds and operates its own destructive-test reference labs (tensile, fatigue, CT) on three continents, running tens of thousands of parts a year against their fingerprints. Enterprise manufacturers and their tier-2 suppliers subscribe per machine per month to skip batch destructive testing and to demand fingerprints from suppliers in one common format.
- Why now
- The radar shows the manufacturing wedge is being rebuilt right now: twentyfour26, Antropi Robotics, Ultrasonium and ProvenMetal all entered in the F26/S26 cohorts, and cohort volume jumped from 40 in 2023 to 88 in 2024 and 79 already in 2026, while AiSupervision's 2022 attempt at a factory production line OS died as a dashboard with no physical ground truth. NSF has two standing programs, Advanced Manufacturing (AM) and Manufacturing Systems Integration (MSI), plus CMMI, that fund exactly this sensor-to-property translation, and the I-Corps award on metal viscous thread printing (~$50k) shows the same translation path being funded at seed scale.
- Wedge: first customer and entry point
- One automotive tier-1's forged suspension line: instrument twelve machines free, run its scrap parts through the founders' single reference lab, and prove the predicted fatigue curve matches the destructive test on a thousand parts before charging anything.
- Path to 100x
- Global industrial testing and quality inspection spend sits in the $10-100B band, and the fingerprint format is the asset: once an OEM tells 400 suppliers to report Partprint cards, each supplier joins to keep the contract and every joined machine sharpens the priors for the alloy and process it runs. That is a one-format market where the second-best dataset is worthless, so the first company to 100,000 fingerprinted machines takes most of it.
- Ceiling
- If property prediction only ever works within one alloy and one process family, the company becomes a per-vertical testing lab with lab economics rather than a network.
- Closest real companies, as the generator saw them
- Ultrasonium and ProvenMetal make parts faster and cheaper; Partprint does not make parts at all, it prices the confidence in parts other people make. Dawn Industries diagnoses and fixes automation cells from machine telemetry, which is uptime, not part properties; AiSupervision (graveyard, 2022) tried the same telemetry layer with no destructive ground truth to calibrate against.
- Main risk
- Manufacturers keep destructive testing anyway because their customers' contracts specify it, so the subscription buys no cost out.
Five judges
Each judge scores every idea in the catalog with a named rubric; the venture judge decides whether a card is shown at all (4-5 is venture-grade).
Venture investor
5/5
A one-format market in $10-100B testing spend where an OEM mandating cards to 400 suppliers compounds the dataset no rival can rebuild.
Bootstrapper
1/5
Operating destructive-test reference labs on three continents before charging anything is capital this lens will never underwrite.
Operator
2/5
Customer contracts specify destructive testing, so an OEM must force 400 suppliers onto the format before anything is saved.
Technologist
5/5
Owning destructive-test reference labs on three continents to calibrate spindle and acoustic signatures is physical ground truth AiSupervision lacked and nobody clones fast.
Risk
2/5
The network only forms if one automotive tier-1 mandates the card to 400 suppliers, which is key-customer concentration disguised as a format.
trends
3/5
Why-now leans on standing NSF programs rather than a dated shift, but robotics-physical cohort surging to 13% of S26 plus $260M in named grants earns points.
Similar startups in the directory
Companies whose pitch matches most of the idea's terms (shared, physics, fingerprint, machined, part, factories, stop, retrofits): 20 all-time, 11 from the last two years. Same matching as Idea Check.
Manufacturing the metal parts the world runs on faster, cheaper, safer
Moon Hotel -> The Intergalactic Construction Company of Earth
AI Supply Chain Manager for CPG
Secure, user-owned context for every AI app
The AI-native trading company: China factory-direct for US importers
The intelligent development platform for robotics
Automatic Diagnosis & Fix for Industrial Automation Cells
Work with agents that already know you
AI technical support for complex physical products
The intelligence layer for simulating and scaling industrial vision systems.
Software tool for designing robots and machines
Quick Algorithm offers AI-powered tools for data analysis and automation.
The generator's reference companies
Real companies the model named as closest when it wrote the card, with their fate. A check mark is a company the radar could verify in its directory.
Public money in this direction
US federal grants, SBIR/STTR awards and open opportunities from the radar's public-money feed, matched to the idea's terms; the sector totals give the context.
8
grants and programs matching the idea
284
startup-relevant grants in Robotics and physical world
$260M
awarded in the sector, tracked
3
opportunities open now in the sector
- EAGER: Leveraging Human-centered Technologies to Enabling Micro-retrofit Energy-saving Opportunities in Homesawardhigh relevance
National Science Foundation · CPS-Cyber-Physical Systems · $150K · posted 2026-08-12
- I-Corps: Translation Potential of a Digital Pet Health Management Software Platformawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-10
National Science Foundation · I-Corps · $50K · posted 2026-08-10
- STTR Phase I: Compact, Comfortable Wristband for High-Fidelity Gesture Recognition via Distributed Strain Sensing, Analog Multiplexing, and Edge Machine Learningawardhigh relevance
National Science Foundation · STTR Phase I · $305K · posted 2026-08-05
- SBIR Fast-Track: Automated Creation of Material Models for Multi-Polymer 3D Printingawardhigh relevance
National Science Foundation · SBIR Fast-Track · $2M · posted 2026-07-21
- A Wearable Sensor Platform for Remote Monitoring of Motor Impairment in Huntingtons Disease and Prodromal Huntingtons Diseaseawardhigh relevance
NIH / NCATS · SBIR phase II · $1M · posted 2025-09-01
NIH / NIGMS · SBIR phase I · $202K · posted 2025-09-01
- Collaborative Research: Learning In-Context Improvement for Robotic Systems via Training-Time Failure Simulationawardmedium relevance
National Science Foundation · FRR-Foundationl Rsrch Robotics · $320K · posted 2026-08-11
Market signal
What the radar sees in Robotics and physical world: new companies by cohort year, the forming YC batch, and outcomes since the February snapshot.
Robotics and physical world · 77 → 60 → 202 → 133 → 120 new companies 2022 → 2026 · 91% aliveYC S26: 32 in this cluster, 13% of the batch (was 6% in X26) (F26 is still forming: 21 listed)Since February, of 253 YC companies here: 2 acquired, 3 shut down, 33 rewrote their pitch
Design attributes
The card is one cell of a designed set: every axis below was chosen before the text was written, and the text had to realize it.
- Buyer
- Enterprise
- Business model
- Software subscription
- Path to 100x
- Network effects, winner takes most
- Market size
- $10-100B market
- Capital intensity
- Capital-heavy (hardware, bio, infra)
- Speed to revenue
- R&D first, revenue after 3 years
- Technical depth
- Deep tech: ML, hardware, bio
- Go-to-market
- Founder-led sales
- Moat
- Data moat
- Geography
- Global from day one
- Regulation
- Unregulated
- Vibe
- Boring business
Listed under
An idea sits in its own sector and in any sector its text clearly touches.
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Fictional company written 2026-08-23 from MarkosWeb data; the companies, grants and numbers around it are real and tracked. Treat the idea as a research prompt, not a plan.