New startup ideas · AI and software · Vertical AI agents

startup idea

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 (4 all-time)

98%

of 4 nearest real companies still alive

sector

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

Test it before you build it

$1,200 · 4 weeks · 25 prospects

For $1,200 and four weeks, prove vertical agent startups will pay up front to rent body-shop system access and that shop owners will let the box in, before any model training starts.

Riskiest assumption · Vertical agent startups selling into body shops will pay per site today for read access to CCC ONE data delivered by someone else's integration, rather than keep paying their own engineers to fight the screens.

1Focus group: who and where

Founder or head of product at a seed-stage vertical AI agent company selling into auto body shops, appliance repair, restaurants or brokerages, whose engineers are hand-scripting a closed Windows back office like CCC ONE or Mitchell this quarter; secondarily, the owner of an independent body shop running that software.

where to find 25 · The YC startup directory filtered to recent-batch vertical agent companies, including the ones named on this card (Rote, Bernard, Marble, RealPact, Trope) (directory); the r/AI_Agents subreddit and the Latent Space community, where these builders discuss computer-use integrations (community); AI Engineer World's Fair speaker and attendee lists (event); for the shop side, local SCRS affiliate meetings and a regional paint distributor's sales reps (channel).

2Sell first, build later

Design-partner access: a typed read-only API for jobs, estimates and parts across up to five CCC ONE body shops of the buyer's choosing, live within 30 days of the first shop's signed consent, served by our on-premise appliance with human-verified extraction until the model catches up.

the ask · $2,000 pilot fee up front plus $400 per connected site per month

a real yes · A paid $2,000 invoice with a named first shop and a start date is a yes; 'we would integrate once it is live', requests for a free pilot, and intros to their engineering team are not.

3Small experiments

The first one attacks the riskiest assumption; each ends with a number that says whether to run the next.

1. Paid pilot offers to agent startups
$400 · 21 days
Build a mocked read endpoint returning realistic CCC ONE job, estimate and parts data, and demo it on 15 calls with agent-startup founders sourced from the YC directory, r/AI_Agents and AI Engineer contacts. Offer a design-partner pilot: typed read API live at their first five shops in 30 days, delivered by our appliance with human-verified extraction behind it, $2,000 up front plus $400 per site per month. The founder runs every call and invoices on the spot.
keep going if · 3 of 15 startups pay the $2,000 pilot invoice with a named first shop
2. Shop install consent test
$700 · 14 days
Visit 10 independent body shops, introduced by a paint distributor sales rep or through the local SCRS affiliate, and ask the owner to sign a one-page consent to install a read-only box that the software companies serving them will use, at no cost to the shop. Bring a $50 gift card per visit for the owner's time.
keep going if · 6 of 10 owners sign the install consent
3. Vendor terms exposure check
$100 · 7 days
With two consenting shops, read their CCC ONE and Mitchell license agreements end to end for clauses on third-party access and automation, and ask all 10 interviewed owners whether vendor terms would stop them from installing. Log every clause that could let the vendor cut a shop off.
keep going if · At least 7 of 10 owners say vendor terms would not stop the install, and no clause found allows remote license termination for read-only third-party access

4Collect a deposit up front

Tesla took $1,000 refundable reservations for the Model 3 and $100 for the Cybertruck before building either: the deposit is the measurement, not the revenue.

$2,000

per prospect, refundable

how · Paid design-partner pilot invoiced up front: the startup's CEO signs a one-page pilot agreement and pays a standard $2,000 invoice due on signing. Chosen because a seed-stage startup can pay a four-figure invoice the same week with no procurement, and an invoice paid before anything exists is the cleanest demand signal this card can get. set up: Stripe Invoicing ↗

what it reserves · One of three design-partner slots, appliance installs at five shops, and a vote on the endpoint schema

refund · Refunded in full if the first endpoint is not returning live shop data within 30 days of the first shop's signed consent.

target · 3 paid pilots from 15 conversations within 28 days

Go: build it if

3 agent startups pay $2,000 each, 6 of 10 shop owners sign install consents, and no vendor clause found blocks read-only access; then build the appliance for the first cohort and start collecting field recordings on paying sites.

Kill: stop if

Fewer than 2 paid pilots from 15 offers, or fewer than 3 of 10 shop owners will sign an install consent, or the license review finds an enforceable clause that lets the vendor cut off a shop for third-party reads.

5 Scripts to run itoutreach message, landing copy, deposit terms · click to open

outreach message

You are selling agents into body shops, so someone on your team is fighting CCC ONE's screens right now. We install an on-prem box in the shop and hand you a typed read API for jobs, estimates and parts, live in 30 days, so your engineers ship agent features instead of scrapers. Design-partner pilots are $2,000 up front plus $400 per site per month for your first five shops, refundable if we miss the date. Open to a 20-minute call this week?

landing page

A read API for the shop software agents cannot reach $2,000 pilot plus $400 per site per month: jobs, estimates and parts endpoints for your first five CCC ONE shops, live in 30 days Book a scoping call; three design-partner slots this quarter

deposit terms

The $2,000 pilot fee reserves one of three design-partner slots and covers appliance installation at your first five shops, with endpoints live within 30 days of your first shop's signed consent. If we miss the 30-day mark or a shop refuses the install, the fee is refunded in full. Monthly billing starts only when your first endpoint returns live data.

Would you run this test?

One tap. The yes-share feeds the Demand pillar of this idea's score; nobody sees who answered.

Budgets are out-of-pocket estimates for a team of one to three, US market. Size the deposit to the deal, and check the terms before taking money in a regulated line.

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 40.6 x 1.61

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 sector25
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): 4 all-time, 2 from the last two years. Same matching as Idea Check.

Centraleyesplugandplay PnP 2026 · 2026 · Security and compliancealive
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Masterpieceyc X26 · 2026 · Fintechalive
Working capital for data companies training frontier AI
Owayyc S24 · 2024 · Commerce and marketplacesalive
Building the open operating system for the automated physical economy.
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

$135M

awarded in the sector, tracked

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 · 159 → 261 → 364 → 411 → 353 new companies 2022 → 2026 · 93% aliveYC F26 live: 25 in this cluster, 20% of the batch (was 25% in S26)Since February, of 698 YC companies here: 19 acquired, 9 shut down, 219 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