Prybar

An API that lets any AI agent operate the legacy Windows software small businesses actually run.

Prybar sells small businesses a small on-premise appliance plus an API: it drives the closed, keyboard-only applications that run auto body shops, repair companies, restaurants and brokerages, exposing read and write operations as typed endpoints with rollback and an audit trail.

Infrastructure and APIs
Small business
$1-10B market
Platform others build on
US first

4/5

venture judge

similar startups, last 2 years (2 all-time)

98%

of 4 nearest real companies still alive

sector

63 public grants in this sector, none matching the idea's terms

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.

Idea Score, 0-100 · raw 39.6 x 1.64

Warm

competition: more crowded than 20% of ideas · headwind x0.90

+0.0

government priorities, secondary (0 matching grants)

Trend

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)70
Rounds announced 2025+ in the sector8
Sector direction (live batch)100
2026 trend analyst50

Demand

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)17
Operator judge: real pain50

100x potential

Can it return a fund? The venture judge (double weight), market-size and moat axes, neighbours still alive, the technologist judge.

Venture judge75
Market size axis33
Moat axis80
Technologist judge75

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 operate, legacy, windows, sells, on-premise, appliance, plus.

The idea in full

What: Prybar sells small businesses a small on-premise appliance plus an API: it drives the closed, keyboard-only applications that run auto body shops, repair companies, restaurants and brokerages, exposing read and write operations as typed endpoints with rollback and an audit trail. The hard part is a computer-use model trained on screen recordings of these specific applications, which needs about three years of field data collection before it is reliable enough to write to a customer's books unattended. Software vendors and vertical agent companies build on the same API, and the shop pays a per-site connectivity subscription.
Why now: The S26 and F26 batches alone put out Rote (auto body shops), Bernard (home appliance repair companies), Marble (restaurants), RealPact (real estate brokerages) and Trope (AI-native ERP system integrator), and 21 companies in the last two years pitch an "operating system" for a vertical, which means dozens of teams are separately paying to break into the same handful of legacy back offices.
Wedge: first customer and entry point: Auto body shops on one dominant estimating and management package: install fifty appliances through a regional paint distributor, ship a read-only jobs and parts endpoint first, and sell write access to the agent companies already selling into those shops.
Path to 100x: SMB back-office integration is a $1-10B market on its own, and it becomes a platform because every vertical agent company shipping on Prybar drags more shops onto the appliance, while every new shop makes the API more valuable to the next agent builder. The distribution moat is physical: whoever owns tens of thousands of installed sites in trades where no cloud API exists sets the price for reaching them.
Ceiling: Three years of unpaid R&D against software the customer did not choose is a long bridge, and if reliability plateaus at 90 percent the product stays a copilot accessory rather than infrastructure.
Closest real companies, as the generator saw them: Trope is an AI-native ERP system integrator doing this as a project business per customer; Definite builds agents on one live model of the books for a single stack. Prybar is the connectivity layer both would rent instead of rebuilding, and it never sells the end agent.
Main risk: The legacy vendors ship their own APIs or block screen automation in their terms of service before the installed base is large enough to make that commercially painful.

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
4/5
Owning tens of thousands of appliance sites in legacy back offices where no cloud API exists is a compounding distribution moat vertical agents must rent.
Bootstrapper
1/5
Three years of unpaid field data collection plus on-premise appliances is the long capital bridge this lens punishes.
Operator
3/5
Dozens of vertical agent teams already pay to break into these back offices, but three unpaid R&D years precede any per-site subscription.
Technologist
4/5
A computer-use model trained on three years of field screen recordings from closed shop software is not reproducible in a weekend.
Risk
1/5
Three unpaid R&D years of screen automation against closed vendors who can forbid it in terms of service before the installed base bites.
trends
3/5
Real pull from dozens of vertical agent teams hitting the same legacy back offices, but three years of R&D outlasts the window that demand opens.

Similar startups in the directory

Companies whose pitch matches most of the idea's terms (operate, legacy, windows, sells, on-premise, appliance, plus): 2 all-time, 1 from the last two years. Same matching as Idea Check.

Bizmarkyc S26 · 2026 · B2B SaaSalive
The OS for companies that make, move, or sell physical goods
Korrplugandplay · Fintechalive
Korr is on a mission to replace the operating system of insurance.

Run this as an Idea Check →

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.

grants and programs matching the idea

startup-relevant grants in Vertical AI agents

$126M

awarded in the sector, tracked

opportunities open now in the sector

All public money by sector →

Market signal

What the radar sees in Vertical AI agents: new companies by cohort year, the forming YC batch, and outcomes since the February snapshot.

Vertical AI agents · 147 → 260 → 362 → 406 → 277 new companies 2022 → 2026 · 95% aliveYC S26: 61 in this cluster, 25% of the batch (was 33% in X26) (F26 is still forming: 21 listed)Since February, of 709 YC companies here: 14 acquired, 8 shut down, 190 rewrote their pitch

Vertical AI agents: companies, trend and grants →

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: Small business
Business model: Infrastructure and APIs
Path to 100x: Platform others build on
Market size: $1-10B 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: Founder-led sales
Moat: Distribution moat
Geography: US first
Regulation: Unregulated
Vibe: Hot space