New startup ideas · Physical world · Climate and energy
startup idea
Neutrix
Regulatory-grade nuclear simulation, delivered as cloud software reactor engineers sign up for.
Neutrix builds a cloud platform of neutronics and thermal-hydraulics codes, accelerated by ML surrogates and qualified under the NQA-1 regime, that compact reactor developers and utilities use to produce license-ready safety analysis.
- Software subscription
- Enterprise
- $100B+ market
- Creates a new category
- US first
3/5
venture judge
44
similar startups, last 2 years (124 all-time)
94%
of 2 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.
54
Idea Score, 0-100 · raw 32.8 x 1.64
Crowded
competition: more crowded than 97% of ideas · headwind x0.52
+4.6
government priorities, secondary (134 matching grants)
Trend
53
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)67
- Rounds announced 2025+ in the sector68
- Sector direction (live batch)50
- 2026 trend analyst25
Demand
42
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)0
- Someone already pays (similar companies, recent / all-time)100
- Operator judge: real pain25
100x potential
74
Can it return a fund? The venture judge (double weight), market-size and moat axes, neighbours still alive, the technologist judge.
- Venture judge50
- Market size axis100
- Moat axis80
- Neighbours still alive65
- 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 regulatory-grade, nuclear, simulation, delivered, cloud, reactor, engineers, builds.
The idea in full
- What
- Neutrix builds a cloud platform of neutronics and thermal-hydraulics codes, accelerated by ML surrogates and qualified under the NQA-1 regime, that compact reactor developers and utilities use to produce license-ready safety analysis. Engineers open an account and run cases self-serve on per-seat and per-run pricing, instead of maintaining decades-old national lab codes in-house. The first three-plus years go to code validation campaigns and benchmark data operations before the qualified baseline can anchor an NRC docket.
- Why now
- YC's X26 batch includes Apollo Atomics building the most compact nuclear reactors, and this cluster added 170 new companies in the 2024 cohort alone - a wave of reactor designs is heading toward a licensing process still served by legacy tooling.
- Wedge: first customer and entry point
- One compact reactor startup as a design partner, using Neutrix to run its core physics and safety cases while the qualification file is built on that shared work.
- Path to 100x
- This is EDA for fission: once a code baseline is accepted in regulatory dockets, every new design, uprate, and license amendment across a $100B-plus nuclear buildout must run through qualified tooling, and qualification is a multi-year barrier no fast follower crosses. The license moat makes it a near-monopoly toll on reactor engineering the way Synopsys tolls chip design.
- Ceiling
- If the US reactor buildout stalls, the customer universe stays in the low hundreds of engineering organizations.
- Closest real companies, as the generator saw them
- Apollo Atomics builds reactors and would be a customer, not a rival; Terranox AI applies AI upstream to uranium discovery, not to design and licensing analysis.
- Main risk
- NRC acceptance of an ML-accelerated code baseline takes longer than any venture runway.
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
3/5
Synopsys-style license moat is real, but a customer universe of low hundreds of engineering orgs plus NRC timelines caps the near-term power law.
Bootstrapper
1/5
NQA-1 validation campaigns and an NRC docket mean zero revenue for three-plus years and far more than $500k of capital.
Operator
2/5
Buyers are a few hundred engineering orgs and nobody pays until the NRC accepts an ML-accelerated baseline years out.
Technologist
5/5
An NQA-1 qualified neutronics baseline accepted in an NRC docket is a multi-year technical barrier no fast follower crosses in a weekend.
Risk
2/5
Everything rests on one NRC acceptance decision for an ML-accelerated code baseline, with a customer universe of low hundreds.
trends
2/5
Three-plus years of NQA-1 validation means no timing window at all, and legacy nuclear codes were an equally valid complaint in 2023.
Similar startups in the directory
Companies whose pitch matches most of the idea's terms (regulatory-grade, nuclear, simulation, delivered, cloud, reactor, engineers, builds): 124 all-time, 44 from the last two years. Same matching as Idea Check.
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Agent simulation and RL for researchers
The AI Security Engineer to Find and Fix Vulnerabilities
Agent-Driven Engineering
An easier way to deploy and manage cloud apps
The Fastest Scientific Computing Platform on the Planet
Social Infrastructure for Games; Makers of Nakama game server, Satori…
High Performance Computing Built for the Cloud
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
180
startup-relevant grants in Climate and energy
$155M
awarded in the sector, tracked
19
opportunities open now in the sector
- I-Corps: Translation potential of a cognitive artificial intelligence (AI) method that estimates and mitigates recall risk of phishing threatsawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-17
NIH / NIEHS · SBIR phase I · $307K · posted 2026-08-01
National Science Foundation · STTR Phase I · $305K · posted 2026-08-21
- I-Corps: Translation Potential of a Privacy-Aware Stress Sensing and Conversational Companionawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-19
- I-Corps: Translation Potential of an Artificial Intelligence (AI) Surrogate for Coastal Storm Surge and Water Level Forecastingawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-19
- SBIR Phase I: An Energy-Efficient Fermentation Platform to Lower the Cost of Industrial Biomanufacturingawardhigh relevance
National Science Foundation · SBIR Phase I · $305K · posted 2026-08-18
- Wearable long duration postoperative topical cryotherapy for enhanced pain managementawardhigh relevance
NIH / NCCIH · SBIR phase I · $313K · posted 2026-08-17
- SBIR Phase I: AI-Driven Cloud Application Programming Interface for Quantum-Accurate Materials Simulationawardhigh relevance
National Science Foundation · SBIR Phase I · $305K · posted 2026-08-11
Market signal
What the radar sees in Climate and energy: new companies by cohort year, the forming YC batch, and outcomes since the February snapshot.
Climate and energy · 92 → 112 → 184 → 97 → 32 new companies 2022 → 2026 · 91% aliveYC S26: 2 in this cluster, 1% of the batch (was 1% in X26) (F26 is still forming: 21 listed)Since February, of 118 YC companies here: 0 acquired, 2 shut down, 4 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
- Creates a new category
- Market size
- $100B+ market
- Capital intensity
- Capital-medium (ops, field teams)
- Speed to revenue
- R&D first, revenue after 3 years
- Technical depth
- Deep tech: ML, hardware, bio
- Go-to-market
- Self-serve
- Moat
- License or regulatory moat
- Geography
- US first
- Regulation
- Some regulation
- Vibe
- Hot space
Listed under
An idea sits in its own sector and in any sector its text clearly touches.
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Fictional company written 2026-08-26 from MarkosWeb data; the companies, grants and numbers around it are real and tracked. Treat the idea as a research prompt, not a plan.