New startup ideas · Consumer and commerce · Consumer
startup idea
Agentfront
The agent layer that makes consumer brands visible and transactable inside AI assistants.
Agentfront runs branded AI agents for large consumer companies so their products can be found, compared and bought inside ChatGPT-style assistants and voice interfaces.
- AI agent as a service
- Enterprise
- $100B+ market
- Platform others build on
- Global from day one
3/5
venture judge
38
similar startups, last 2 years (266 all-time)
94%
of 3 nearest real companies still alive
sector
33 public grants in this sector, none matching the idea's terms
Test it before you build it
$1,000 · 5 weeks · 20 prospects
For $1,000 and 5 weeks, prove that mid-size DTC brands can see assistant-channel revenue leaking in their own analytics and will pay $3,000 up front on a $6,000 design-partner pilot to fix it.
Riskiest assumption · Mid-size DTC ecommerce leads can already see assistant-channel revenue leaking in their own analytics and will pay for it from this quarter's budget, rather than treating assistant visibility as speculative spend with no line item.
1Focus group: who and where
VP of ecommerce or head of growth at a $10-100M US DTC brand on Shopify Plus who is seeing ChatGPT and Perplexity referral sessions appear in GA4 this quarter while the assistants themselves quote stale prices, miss their promotions or recommend a competitor.
where to find 20 · The eCommerceFuel forum, a vetted community of 7 and 8 figure store owners (community); the Shopify Plus certified partner directory, used to reach the agencies who serve these brands and get warm intros to their client rosters (directory); direct outreach to DTC operators active on X and in agency-run Slack groups (channel); eTail, the retail ecommerce conference these teams already attend, if a date falls inside the window (event).
2Sell first, build later
A 90-day design-partner pilot: Agentfront makes one product line findable, answerable and purchasable inside one assistant surface, live within 30 days of signature, with weekly reports on assistant sessions and completed checkouts.
the ask · $6,000 per pilot, $3,000 invoiced on signature and $3,000 at day 45
a real yes · A real yes is a signed one-page SOW plus the $3,000 up-front invoice paid; teardown compliments, unpaid proofs-of-concept and intros to the agency do not count.
3Small experiments
The first one attacks the riskiest assumption; each ends with a number that says whether to run the next.
1. Assistant-loss evidence calls
$300 · 10 days
Recruit 15 ecommerce leads through eCommerceFuel and two or three Shopify Plus agencies, and on each 20-minute call ask them to open GA4 live and filter referrals for chatgpt.com and perplexity.ai. Log the session count, whether those sessions convert, and whether fixing assistant presence has an owner or budget this quarter. One founder runs all 15 calls in two weeks.
keep going if · 8 of 15 brands find measurable assistant referral traffic in their own GA4, and at least 5 call fixing it a this-quarter priority
2. Brand agent audit teardown
$200 · 7 days
For the 10 strongest brands, manually run 20 buying-intent prompts each through ChatGPT and Perplexity, screenshot every spot the brand loses - wrong price, dead link, competitor recommended, no purchase path - and send a 2-page teardown to the ecommerce lead. End the teardown with one line offering the paid pilot. Count who replies asking for the pilot conversation.
keep going if · 6 of 10 teardown recipients book the pilot conversation
3. Paid design-partner close
$500 · 14 days
Pitch a 90-day design-partner pilot: one product line answerable and purchasable inside one assistant surface, live within 30 days of signature, for $6,000 with half invoiced up front. Use a one-page SOW the VP can sign without legal review and send it within 24 hours of the call. Count signatures and cleared payments, not verbal yeses.
keep going if · 3 of 10 written proposals come back signed with the $3,000 invoice paid
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.
$3,000
per prospect, refundable
how · A paid design-partner pilot invoiced 50% up front against a signed one-page SOW - this buyer is a mid-market ecommerce VP who can approve a $6,000 vendor invoice without procurement, so an invoice against a scoped pilot is faster and more credible than a card checkout; the VP signs, finance pays the invoice. set up: Stripe Invoicing ↗
what it reserves · One of 5 design-partner slots, a go-live date 30 days from signature, and a founding per-transaction rate locked for year one
refund · The up-front half is refunded in full if the agent is not live on the agreed assistant surface within 30 days of signature.
target · 3 paid pilots ($9,000 collected) from 20 conversations within 35 days
Go: build it if
8 of 15 brands show assistant referral traffic in their own GA4 and 3 pilots are signed with $9,000 collected within 35 days.
Kill: stop if
Fewer than 4 of 15 brands can find any assistant referral traffic in GA4, or 0 paid pilots after 10 written proposals.
5 Scripts to run itoutreach message, landing copy, deposit terms · click to open
outreach message
You're running a 7-figure Shopify store, and if you open GA4 you'll likely find ChatGPT and Perplexity referrals that convert - while the assistants themselves quote your old prices or recommend a competitor. I run 20 buying-intent prompts against your brand across both assistants and send you a free teardown showing exactly where you lose the sale. If it stings, I make one product line purchasable inside an assistant in 30 days. Worth 20 minutes this week?
landing page
Your products, answered and sold inside ChatGPT. $6,000 for a 90-day design-partner pilot: one product line transactable in one assistant surface, live in 30 days, half invoiced up front. Book a scoping call - 5 design-partner slots, founding transaction rate locked for year one.
deposit terms
The pilot is $6,000 for 90 days: $3,000 is invoiced when you sign the one-page scope and the balance at day 45. Your payment reserves one of 5 design-partner slots, a go-live date 30 days from signature, and a founding per-transaction rate locked for year one. If your agent is not live on the agreed assistant surface within 30 days, the up-front half is refunded in full.
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.
36
Idea Score, 0-100 · raw 22.6 x 1.61
Crowded
competition: more crowded than 96% of ideas · headwind x0.52
+0.0
government priorities, secondary (0 matching grants)
Trend
33
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)20
- Rounds announced 2025+ in the sector38
- Sector direction (live batch)0
- 2026 trend analyst75
Demand
62
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)60
- Someone already pays (similar companies, recent / all-time)100
- Operator judge: real pain25
100x potential
39
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 axis20
- Neighbours still alive16
- 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 consumer, brands, visible, transactable, branded.
The idea in full
- What
- Agentfront runs branded AI agents for large consumer companies so their products can be found, compared and bought inside ChatGPT-style assistants and voice interfaces. Brands connect catalogs, policies and promotions through no-code integrations; Agentfront exposes them as callable agents with an open skill format that agencies and martech vendors extend. It sells through those agencies and platforms as the channel, taking a per-conversation and per-transaction fee.
- Why now
- The brief's tracked consumer companies average an AI-visibility score of just 44/100, and the newest YC batch already includes Pluto, an AI voice agent for getting professionals discovered - the same discovery problem is unsolved for brands, whose search and social playbooks do not transfer to assistant traffic.
- Wedge: first customer and entry point
- One mid-size DTC brand losing assistant-channel sales; ship a single agent that answers product questions and completes a purchase, then let the brand's agency resell it to its whole client roster.
- Path to 100x
- Global brand marketing and commerce enablement spend is a $100B+ pool, and whoever defines the standard skill format for brand agents becomes the platform every agency and martech tool builds on, the way tag managers and app stores concentrated. If the open skill layer wins, take rates on assistant-mediated transactions compound faster than any single brand contract.
- Ceiling
- If assistant traffic to brands stays a single-digit share of commerce, Agentfront remains a feature inside existing martech suites rather than a platform.
- Closest real companies, as the generator saw them
- Pluto does discovery agents for individual professionals, not brand commerce; Korso positions as an AI-native agency and keeps the work as services; Remix auto-generates social content rather than transactable agents.
- Main risk
- Assistant platforms build first-party brand integrations and cut off third-party agent layers before Agentfront reaches scale.
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
$100B+ commerce enablement pool and capital-light, but no moat and assistant platforms building first-party brand integrations is the whole risk.
Bootstrapper
3/5
Capital-light with agency channels, but no moat in a hype space where assistant platforms can ship first-party brand integrations and crush per-conversation pricing.
Operator
2/5
Brands have no proven assistant-channel loss yet, so the spend is speculative budget, not a line item already being paid to someone.
Technologist
1/5
A brand catalog exposed as callable agents is precisely the integration assistant platforms ship first-party, and the card lists no moat.
Risk
1/5
Existence depends entirely on assistant platforms tolerating a third-party agent layer they are already positioned to build first-party.
trends
4/5
Rides the real 2026 shift - UCP, ACP, Shopify's 13x AI-order growth - though Stripe's Agentic Commerce Suite already signing Coach and Etsy shows incumbents closing the window.
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Companies whose pitch matches most of the idea's terms (consumer, brands, visible, transactable, branded): 266 all-time, 38 from the last two years. Same matching as Idea Check.
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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.
0
grants and programs matching the idea
33
startup-relevant grants in Consumer
$10M
awarded in the sector, tracked
1
opportunities open now in the sector
Market signal
What the radar sees in Consumer: new companies by cohort year, the forming YC batch, and outcomes since the February snapshot.
Consumer · 182 → 222 → 211 → 156 → 64 new companies 2022 → 2026 · 86% aliveYC F26 live: 4 in this cluster, 3% of the batch (was 3% in S26)Since February, of 782 YC companies here: 6 acquired, 4 shut down, 45 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
- AI agent as a service
- Path to 100x
- Platform others build on
- Market size
- $100B+ market
- Capital intensity
- Capital-light (software margins)
- Speed to revenue
- Revenue in 1-3 years
- Technical depth
- Integrations, no-code
- Go-to-market
- Partners and channels
- Moat
- No moat yet
- Geography
- Global from day one
- Regulation
- Unregulated
- Vibe
- Hot space
Listed under
An idea sits in its own sector and in any sector its text clearly touches.
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