/roster//signed · scouting · wanted

the roster.

we are looking for products where creation is strong but commercialization is still weak. if your product is one of them — send it. if you know one — refer it.

01//operator track record//verticals shipped

we have operated across the categories that print consumer revenue.

the operating team behind berries has shipped, monetized and scaled consumer software products across 13 verticals. in each of them, the category leader typically does $20m–$200m in annual consumer revenue. we know how to operate the commercial layer that gets there.

15+

products shipped

verticals operated

100m+

downloads shipped

$3.3m/mo

paid spend managed

01pdf fillersubscription staple
02cv makerhigh-intent search
03chatbot aibillion-conversation category
04photo + video aicategory explosion
05scanner appsevergreen demand
06cleaner / clean-upcategory: 1b+ installs
07home aiemerging
08travel appsglobal category
09health + calorieshabit-forming
10qr code appsutility moat
11fax appsunderestimated revenue
12ai notesfastest-growing
13ai art generatorcreator economy

no public berries-signed roster yet. we only put a name here when there is a signed deal and shareable data behind it. until then — this is the track record the label was built on.

● actively underwriting · 2026

02//scouting//live category radar

currently scouting in 10 categories.

where creation is exploding and commercialization is still weak — that's where berries hunts. swipe through what we're actively underwriting.

scouting · 01 / 10

active

ai utilities

why now: ai utility products are exploding, but most are badly positioned and poorly monetized.
what we look for: clear use case, frequent usage, strong retention, healthy margins, real willingness to pay.
what usually breaks: high api costs, weak differentiation, unclear packaging, no lifecycle, bad pricing.
what berries can fix: positioning, pricing, creative, paid growth, funnel, retention, market expansion.

scouting · 02 / 10

active

productivity products

why now: teams and individuals are adopting ai and workflow tools faster than traditional software cycles can absorb.
what we look for: recurring usage, strong habit potential, clear outcome, willingness to pay.
what usually breaks: generic positioning, crowded search categories, weak onboarding, feature-heavy messaging.
what berries can fix: use-case packaging, category wedge, acquisition channels, onboarding, pricing, lifecycle.

scouting · 03 / 10

active

creative tools

why now: ai has expanded what creators can produce, but distribution and packaging decide which tools become mainstream.
what we look for: visual output, shareability, strong hooks, repeat usage, creator/community pull.
what usually breaks: weak creative strategy, unclear pricing, high compute cost, low retention after novelty.
what berries can fix: creative loops, creator acquisition, monetization, retention, paid growth.

scouting · 04 / 10

active

photo + video

why now: consumer photo and video apps are quietly the largest paying-subscriber category in mobile.
what we look for: share-driven loops, low-friction trials, strong demo virality.
what usually breaks: weak paywall sequence, no localized pricing, creator reliance.
what berries can fix: paywall lab, lifecycle, geo-pricing, creator marketing, asa.

scouting · 05 / 10

active

education products

why now: outcome-driven micro-curricula are replacing courses; ai unlocks personalized progression.
what we look for: outcome you can name, retention beyond week 4, strong nps.
what usually breaks: abstract messaging, weak engagement loops, soft monetization.
what berries can fix: messaging, onboarding, monetization, retention, channel mix.

scouting · 06 / 10

active

creator tools

why now: the creator economy compounds when the tools take a cut of upside; otherwise it stalls.
what we look for: creator workflow stickiness, viral preview surfaces, willingness to pay.
what usually breaks: low arpu, weak retention beyond launch hype.
what berries can fix: pricing tests, paywalls, lifecycle, paid + organic acquisition.

scouting · 07 / 10

active

consumer subscriptions

why now: subscription apps still print money — if monetization discipline is operator-grade.
what we look for: ltv signal, healthy trial-to-paid, organic install share.
what usually breaks: broken paywall, weak refund management, no win-back.
what berries can fix: paywall lab, win-back lifecycle, geo-pricing, refund discipline.

scouting · 08 / 10

active

prosumer web apps

why now: ai is turning prosumers into power users; web is faster to iterate than mobile-only.
what we look for: weekly active users, multi-tenant adoption, organic referrals.
what usually breaks: no onboarding sequence, no enterprise upsell path.
what berries can fix: web funnel, pricing tiers, lifecycle, plg playbook.

scouting · 09 / 10

active

web-to-app products

why now: the cheapest cac is often a web landing → app install path that nobody operates.
what we look for: web traffic, app retention, paying audience on either side.
what usually breaks: broken handoff, no attribution, no lifecycle bridging.
what berries can fix: web→app funnel, attribution, lifecycle, custom product pages.

scouting · 10 / 10

active

workflow tools

why now: ai is collapsing tasks into single keystrokes; workflow tools that own the surface win.
what we look for: daily active use, integration depth, willingness to pay.
what usually breaks: weak distribution, generic copy, no upgrade path.
what berries can fix: positioning, pricing, paid growth, enterprise tier, lifecycle.

01/10ai utilities

03//wanted board

if your product sounds like one of these, we want to talk.

these are archetypes — not exact shapes. close enough is close enough. submit anyway.

wanted // by berries

ugly product. insane retention.

why we like it: retention is harder to fake than design.
what berries can fix: positioning, creative, funnel, monetization, paid growth.

wanted // by berries

great app. zero distribution.

why we like it: the distribution gap is the upside.
what berries can fix: asa, paid growth, app-store funnel, creators.

wanted // by berries

€30k mrr stuck in founder-led growth.

why we like it: revenue proves willingness to pay.
what berries can fix: commercial system, acquisition, creative, data, capital allocation.

wanted // by berries

ai tool with organic love and no monetization discipline.

why we like it: organic love means real demand.
what berries can fix: pricing, paywall, packaging, lifecycle, distribution.

wanted // by berries

chrome extension with cult usage.

why we like it: workflow adoption can become a commercial product.
what berries can fix: packaging, monetization, paid acquisition, web funnel, lifecycle.

wanted // by berries

beautiful product. terrible funnel.

why we like it: users love it once they find it.
what berries can fix: landing pages, app-store conversion, onboarding, checkout.

wanted // by berries

app ranked 47th that should be top 3.

why we like it: category gap means the market already exists.
what berries can fix: aso, cpps, creative, paid growth, pricing, reviews, funnel.

wanted // by berries

engineer-built tool nobody understands.

why we like it: strong product, commercially invisible.
what berries can fix: category language, use-case packaging, messaging, funnel, acquisition.

04//send it

know a product that belongs on the roster? send it to the label.

submit a product →refer a product (email us)

referrals are quietly reviewed. founders who refer signed products earn part of the deal.