New startup ideas · B2B, security and compliance · B2B SaaS

startup idea

Passline

AI front desk for local trades that passes overflow jobs to nearby shops.

Passline answers calls, texts and web chats for small service businesses (auto shops, installers, salons, plumbers), books jobs into their existing calendar, and takes deposits.

3/5

venture judge

2

similar startups, last 2 years (3 all-time)

82%

of 4 nearest real companies still alive

yes

1 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.

69

Idea Score, 0-100 · raw 42.3 x 1.64

Warm

competition: more crowded than 32% of ideas · headwind x0.84

+0.8

government priorities, secondary (1 matching grants)

Trend

52

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)90
  • Rounds announced 2025+ in the sector93
  • Sector direction (live batch)0
  • 2026 trend analyst25

Demand

44

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)33
  • Operator judge: real pain100

100x potential

52

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 axis33
  • Moat axis100
  • Neighbours still alive81
  • Technologist judge0

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 front, desk, local, trades, passes, overflow, jobs, nearby.

The idea in full

What
Passline answers calls, texts and web chats for small service businesses (auto shops, installers, salons, plumbers), books jobs into their existing calendar, and takes deposits. When the shop is full, out of stock or out of area, the agent hands the job to another Passline business nearby and both sides split the fee. Sold per seat per month plus a cut of every passed job, live in a day through Google Business Profile, Stripe and the shop's booking tool.
Why now
The current cohort is betting on exactly this surface: TryNearby (yc S26) and CarSignal (yc S26) are both selling software into local operators, Flip just raised $25.0M (2026-08-19) for frontline workers, and Weibook died in 2023 doing bookings for beauty businesses without any cross-shop layer.
Wedge: first customer and entry point
Independent auto repair shops in one metro: answer after-hours calls, then route the jobs a shop refuses (wrong make, no lift free this week) to the shop two streets over.
Path to 100x
AI receptionists for local services are a $3-8B software market, but the pass-through layer turns it into a two-sided one: each new shop raises the fill rate for every other shop in the same postcode, so the first network to reach density in a trade owns it and takes a percentage of job value on top of seats. Distribution comes through POS, booking and franchise partners who resell it to thousands of locations at once, in every English, Spanish and German speaking market from day one.
Ceiling
Passing works only inside dense same-trade clusters, so the network is really hundreds of small city-by-trade networks that never compound into one.
Closest real companies, as the generator saw them
CarSignal builds an operating system inside a single auto shop and TryNearby connects businesses to creators; Passline is thinner inside the shop and only owns the inbound conversation, but it is the only one that moves a rejected job to another member.
Main risk
Shops treat the neighbour as a competitor and switch off outbound passing, leaving a plain answering bot with no network.

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

    Capital-light with revenue inside a year, but the $3-8B receptionist market plus city-by-trade network fragmentation limits the upside.

  • Bootstrapper

    5/5

    Capital-light, live in a day on Google Business Profile and Stripe, revenue within a year from auto shops already paying answering services.

  • Operator

    5/5

    Missed after-hours calls are lost revenue an auto shop owner feels personally, live in a day on Google Business Profile and Stripe.

  • Technologist

    1/5

    A receptionist bot on Google Business Profile and Stripe with a referral split; nothing here takes longer than a weekend to rebuild.

  • Risk

    2/5

    Runs entirely on Google Business Profile, Stripe and the shop's booking tool, in a receptionist category already crowded where Weibook died.

  • trends

    2/5

    AI receptionists were buildable in 2024 and vertical agents are the most crowded cluster at 25% of S26; the pass-through twist adds no new enabler.

Similar startups in the directory

Companies whose pitch matches most of the idea's terms (front, desk, local, trades, passes, overflow, jobs, nearby): 3 all-time, 2 from the last two years. Same matching as Idea Check.

  • Foremanyc W26 · 2026 · B2B SaaSalive

    Keeping contractors on the job site, not behind a desk.

  • Obvloplugandplay PnP 2025 · 2025 · B2B SaaSalive

    Obvlo is an InfoTech firm that allows visitors to discover local restaurants, tourism sites, and events through apps or web-based platforms.

  • Deskimoyc S21 · 2021 · Commerce and marketplacesalive

    Workspaces on demand, paid by the minute.

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.

1

grants and programs matching the idea

15

startup-relevant grants in B2B SaaS

$3M

awarded in the sector, tracked

5

opportunities open now in the sector

All public money by sector →

Market signal

What the radar sees in B2B SaaS: new companies by cohort year, the forming YC batch, and outcomes since the February snapshot.

B2B SaaS · 181 → 198 → 204 → 116 → 75 new companies 2022 → 2026 · 92% aliveYC S26: 9 in this cluster, 4% of the batch (was 4% in X26) (F26 is still forming: 21 listed)Since February, of 756 YC companies here: 10 acquired, 9 shut down, 72 rewrote their pitch

B2B SaaS: 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
AI agent as a service
Path to 100x
Network effects, winner takes most
Market size
$1-10B market
Capital intensity
Capital-light (software margins)
Speed to revenue
Revenue within a year
Technical depth
Integrations, no-code
Go-to-market
Partners and channels
Moat
Network effects
Geography
Global from day one
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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Swipe ideas like this in the deckTalk to the radar about it

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.