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  • The brief
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  • Big bets · 3
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Generated Nov 10, 2026
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growth playbook · Nov 10, 2026

trychannel3.com (opens in a new tab)

Channel3 growth playbook

Diagnosis

Channel3 is a Y Combinator S25 company in New York with a $6M seed round and a team of five. It sells one product graph to three buyers: developers (100M+ products, 1,000 free credits a month, then $0.007 a credit), brands (a free listing paid through commission) and enterprises.

It already reaches a lot of people: thousands of auto-generated brand, category and retailer pages, 3,000+ developers and 5,000+ partner brands. What's missing is proof. The brand pages meant to show off the data list Apple Watches as Nike products and mix currencies. The site gives three different brand counts and two different SOC 2 statuses.

The Shopify app has no reviews, and there is only one customer story. This playbook first cleans up those pages and the numbers. Next, it turns brand pages into claim flows, adds a free AI shelf check, lists the platform plugins and partners with an affiliate network. The big bets are a public data-quality benchmark, an enterprise proof pack and a quarterly report built from query data.

Growth Score

7/10

Biggest Opportunity

Make the thousands of auto-generated product-data pages prove what Channel3 sells, clean and correct product data, so that each page wins a developer or a brand.

Biggest Risk

Shopify Catalog is free for Shopify merchants, and Rye and search-scraping APIs sell product data to the same agent builders. Meanwhile a five-person team has to keep data quality ahead of a graph growing toward a billion products.

01

Start here

The three moves to make first. Each one is written up in full below.

  1. 1

    Fix the brand pages that show off the graph: 8 of 12 "Sample Nike products" are Apple Watches

    Pull the top 200 brand pages and count the samples whose brand field doesn't match the page's brand.

    High impact First result in 2 weeks
  2. 2

    Use one number everywhere: 5,000+ brands, 25,000+ brands or 25,000 retailers

    Write a one-page fact sheet with the definitions and today's counts.

    Medium impact First result in 2 weeks
  3. 3

    Remove the "SOC 2 compliance in progress" footer that contradicts "SOC 2 certified"

    Check the trust center status and change the footer template today.

    High impact First result in 1 week

02

Your idea portfolio

22 ideas, grouped by when to run them. Open any idea for how to run it: the steps, who to approach, copy you can use, and how to measure it.

  • 8 ideas are marked Unexpected: plays you are unlikely to have tried.

    1 of these are things Programmable can build and run for you.

Every idea placed by the effort it takes against the impact it could have. Quick wins sit top left; select a number to open that idea. The filters below narrow the list by status, timing, category and what Programmable can build.

Effort vs impactEach number is an idea. Select one to open it.
Impact →
Quick wins · 3Big bets · 9Fill-ins · 9Reconsider · 1
Effort →

Showing 22 of 22 ideas

This week 8

Quick wins with a clear first action.

  • 01

    Channel3 says it is building "the world's highest quality product graph", and its thousands of /product-data/brands pages are where developers and brand managers see that graph first. On the Nike page, 8 of the 12 sample products are Apple Watch models linked to the Apple brand, and another is a vintage resale jumper. The adidas page shows a hockey-team tote labelled "Logo Brands" and four items labelled Gucci. Both pages mix three or four currencies, and their structured data gives one price range in a single, wrong currency. Some pages, like "Bags", show no products at all, and the brand block on every page reads "Nike 's catalog". Channel3's own blog post for brands says wrong labels and prices are exactly what break AI shopping.

    High impactLow effort First result in 2 weeks Founding Engineer

    First action

    Pull the top 200 brand pages and count the samples whose brand field doesn't match the page's brand.

    How to measure it

    Clean brand pages

    Now
    –
    Target
    95% of the top 200
    By
    30 days

    Steps

    1. 1

      Measure the mismatch

      Script brand field against page brand, plus currency mix, across the top 200 pages.

      Founding Engineer 1 day

    2. 2

      Set the rules

      Brand must match, new before resale, one currency, at least six samples.

      Co-founder & CEO 1 day

    3. 3

      Fix the template

      Filter samples, one-currency AggregateOffer, fix the "Nike 's" spacing.

      Founding Engineer 3 days

    4. 4

      Noindex thin pages

      Pages with fewer than six clean samples.

      Founding Engineer 1 day

    5. 5

      Add a flag link

      "Report a wrong product", feeding the dedupe queue.

      Backend Engineer 2 days

    6. 6

      Roll out

      Same rules on retailer and category templates.

      Founding Engineer 1 week

    7. 7

      Track

      "Join the graph" clicks and developer sign-ups from these pages.

      Co-founder monthly

    First result
    2 weeks
    Cost
    Engineering time only
    Owner
    Founding Engineer

    Smallest test

    Fix the Nike and adidas pages by hand today, then compare their sign-up clicks with ten untouched brand pages for two weeks.

    Why it works

    Add quality gates to the page template before more pages are generated. Only show samples whose brand field matches the page's brand (Nike Sport Bands belong on the Apple page). Prefer new, official items over resale unless the page says it includes resale. Show prices in one currency, or in USD with the original currency noted, and build the structured-data price range only from offers in that currency. If fewer than six clean samples remain, hide the grid and noindex the page. Fix the stray space in the brand block. Start with the top 200 brand pages by traffic, then roll the same rules out to retailer and category pages. Add a "Report a wrong product" link so brands and developers can flag errors, and send those flags into the dedupe and variant-matching work the new Backend Engineer is being hired for.

    Each of these pages is a product demo, a search-engine landing page and the brand sales pitch ("Do you work at Nike?") all at once. A Nike marketer who sees Apple Watches presented as Nike's catalog will not join, and a developer comparing APIs judges data quality from the sample grid. With clean samples, every one of those thousands of pages argues for the product instead of against it.

    Ready to use

    ChecklistBrand page quality gates

    [ ] Every sample's brand field equals the page brand
    [ ] New, official items before resale (or the page says it includes resale)
    [ ] One display currency per page
    [ ] AggregateOffer built only from offers in that currency
    [ ] At least six clean samples, or hide the grid and noindex
    [ ] Brand block text fixed ("Nike's catalog")
    [ ] Meta description says more than the category list
    [ ] "Report a wrong product" link on every card

    Risks and how to handle them

    • Some pages end up with few samples

      Backfill from more offers before hiding the grid.

    • Noindexing loses search traffic

      Only noindex pages with no clean samples, and watch Search Console.

    Evidence

    • Your websiteNike brand page (checked twice, November 9, 2026): 8 of the 12 "Sample Nike products" are Apple Watch models linked to the Apple brand, and another is a "Vintage Womens Crew Neck Jumper"; visible prices mix £, CA$, € and $; the structured data gives one AggregateOffer in GBP from 17 to 595; the meta description is "Nike sells Fashion & Apparel and Sporting Goods."; the brand block reads "Join it once and Nike 's catalog becomes available to every assistant, search engine, and agent".Source
    • Your websiteadidas brand page: of 12 sample products, one is a "Nashville Predators Leopard Pattern Tote" labelled "Logo Brands" and four "Gucci X Adidas" items are labelled Gucci (one "Gucci Pre-owned"); prices mix USD, CAD and GBP; the structured-data AggregateOffer says USD 45 to 1817, where the high price is a GBP item.Source
    • Your websiteThin brand pages: /product-data/brands/bags ("Bags Product Data API") shows no sample products, only a code example and "Do you work at Bags?"; /product-data/brands/partner has the meta description "Partner sells Office Supplies." while its product titles say "Partners Brand".Source
    • Your websiteBrands post (June 10, 2026): a test of three AI shopping engines found wrong sizes and colors, mismatched prices and an invented product name; "AI recommends from your structured product data, not your website."; cites 53% of shoppers abandoning a purchase over incorrect product data (Akeneo 2025); promotes a free listing, "a Premium Plan for scaling" and setup in about 10 minutes.Source
    • HiringBackend Engineer (New York, $120K-$200K plus 0.25%-0.50% equity, open on Y Combinator's job board; YC lists a team of 5): parsing product pages across retailers, deduplicating products across merchants, mapping variants, fast search with deterministic filters, and evals for drift and hallucinations ("Write code to understand 1B products"); stated traction: "We've indexed 100M+ products", "3,000+ developers have started using our API", "We've partnered with 5,000+ brands, including Walmart, Best Buy, Shopbop, Staples, and Home Depot" and "50M+ products processed every day".Source
  • 02

    The homepage and the job post say 5,000+ partner brands. The brands page meta description and the developers headline say 25,000+ brands. The developers stats and the enterprises page say 25,000 retailers, while the enterprises FAQ says 25,000 brands. Freshness varies too: the API pages promise live, continuously refreshed data, but llms.txt says product data is refreshed daily. A technical buyer who reads three pages sees three different sizes for the company.

    Medium impactLow effort First result in 2 weeks Co founder & CEO

    First action

    Write a one-page fact sheet with the definitions and today's counts.

    How to measure it

    Consistent numbers

    Now
    –
    Target
    100% of the top 20 pages
    By
    2 weeks

    Steps

    1. 1

      Write the fact sheet

      Definitions, counts and a date for each.

      Co-founder & CEO 1 day

    2. 2

      Find every mention

      Templates, llms.txt, agents.md and the blog.

      Founding Engineer 1 day

    3. 3

      Update the pages

      Homepage, brands, developers, enterprises, about.

      Founding Engineer 1 day

    4. 4

      Update the listings

      Shopify App Store, YC profile, LinkedIn.

      Co-founder 1 day

    5. 5

      Automate

      Pull the counts from one config file.

      Founding Engineer 2 days

    6. 6

      Review

      Refresh the counts every month.

      Co-founder & CEO monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Co founder & CEO

    Smallest test

    Fix the brands page header and meta description today.

    Why it works

    Define three numbers, each with a date: partner brands (signed up and set a commission), brands indexed in the graph, and retailers indexed. Use the same wording on every page, in llms.txt and the agents.md summaries, on the Shopify listing and in job posts. Do the same for freshness: say exactly how often prices and stock update, and for which sources.

    Consistent numbers build trust with enterprise buyers, and they are what AI assistants repeat when someone asks about Channel3. When the numbers contradict each other, a summary turns them into doubt.

    Risks and how to handle them

    • The smaller number looks weaker

      Label both: "5,000+ partner brands, 25,000+ brands indexed".

    Evidence

    • Your websiteHomepage: H1 "Where agents find products"; three paths: developers ("One API for 100M+ products"), brands ("Join 5,000+ brands") and enterprises ("Talk to us"); brand-partner logos Walmart, Best Buy, CVS, Staples and Fanatics; market stats such as "58% of consumers have used AI to shop" and "$3-5T projected agentic commerce revenue by 2030"; no testimonials or customer stories.Source
    • Your websiteBrands page: "Sell on net-new AI platforms"; three steps (sign up free, connect your affiliate network, products enter the index); onboarding in "5 minutes, with no technical work"; no minimum commission, and agents are "more likely to recommend products with higher commissions"; publisher approval, real shopper queries, SKU-level impressions, clicks and conversions, and "See what shoppers want (coming soon)"; the header says "5,000+ brands partner with us" while the meta description says 25,000+ brands; no testimonials, no prices and no named e-commerce platforms.Source
    • Your websiteDevelopers page: "100 million products from over 25,000 brands" in the headline but "25,000 retailers" in the stats; "800ms p50" search latency; /checkout "Coming soon" with early access; "Many product offers include a commission rate. When your users buy, you earn."; the FAQ names Shopify Catalog and SerpApi; no testimonials.Source
    • Your websiteEnterprises page: a conversational shopping agent, search, a "7.7% built-in network rate", insights and checkout "coming soon"; no named customers or testimonials; the uptime FAQ gives no SLA figures; "25,000+ retailers" in one place and "more than 25,000 brands" in the FAQ; the call to action is to talk it through with an AI assistant or "a human on the Channel3 team".Source
    • HiringBackend Engineer (New York, $120K-$200K plus 0.25%-0.50% equity, open on Y Combinator's job board; YC lists a team of 5): parsing product pages across retailers, deduplicating products across merchants, mapping variants, fast search with deterministic filters, and evals for drift and hallucinations ("Write code to understand 1B products"); stated traction: "We've indexed 100M+ products", "3,000+ developers have started using our API", "We've partnered with 5,000+ brands, including Walmart, Best Buy, Shopbop, Staples, and Home Depot" and "50M+ products processed every day".Source
    • Your websitellms.txt: agent-readable summaries for each audience page; a brand is indexed when it has a deep catalog (800+ products) or demonstrated search demand; product data is refreshed daily.Source
  • 03

    The footer on the /product-search-api category pages says "SOC 2 & GDPR compliance in progress". Elsewhere, the site's trust link says "SOC 2 certified" and the enterprises page lists SOC 2 certification as an enterprise-ready feature. A security reviewer checking an API vendor often lands on these developer pages first, and finds two different answers.

    High impactLow effort First result in 1 week Co founder & CEO

    First action

    Check the trust center status and change the footer template today.

    How to measure it

    Consistent compliance wording

    Now
    –
    Target
    All pages
    By
    1 week

    Steps

    1. 1

      Confirm the status

      Report type, scope and date.

      Co-founder & CEO 1 hour

    2. 2

      Write one line

      The exact claim and a trust-center link.

      Co-founder & CEO 1 hour

    3. 3

      Update the template

      The /product-search-api footer.

      Founding Engineer 1 hour

    4. 4

      Search the site

      Every other mention of SOC 2 and GDPR.

      Founding Engineer 2 hours

    5. 5

      Add a security section

      On /enterprises, with a report request.

      Co-founder 1 day

    6. 6

      Set a reminder

      Recheck after each audit.

      Co-founder & CEO quarterly

    First result
    1 week
    Cost
    $0
    Owner
    Co founder & CEO

    Smallest test

    Fix the footer template today.

    Why it works

    Confirm the current status and scope in the trust center, then write one sentence that says exactly that (for example, the report type and its date) and use it in every footer and on the enterprises page, linked to the trust center. If GDPR work is still open, say what is done and what isn't. Add a short security section to the enterprises page with a way to request the report.

    Enterprise deals need one clear compliance answer. A contradiction on the vendor's own site adds a round of questions to every security review.

    Risks and how to handle them

    • Claiming more than the report covers

      Use the report's exact type and scope.

    Evidence

    • Your websiteCompliance wording: the /product-search-api footer says "SOC 2 & GDPR compliance in progress", while the site's trust link reads "SOC 2 certified. Open the trust center." and the enterprises page lists SOC 2 certification and SSO/SAML as enterprise-ready features.Source
    • Your websiteEnterprises page: a conversational shopping agent, search, a "7.7% built-in network rate", insights and checkout "coming soon"; no named customers or testimonials; the uptime FAQ gives no SLA figures; "25,000+ retailers" in one place and "more than 25,000 brands" in the FAQ; the call to action is to talk it through with an AI assistant or "a human on the Channel3 team".Source
  • 04

    Each of the 15 top-level categories has two pages: /product-search-api/fashion ("Fashion & Apparel Product API") and /product-data/fashion ("Fashion & Apparel Product Data API"). They share one meta description that stops mid-word at "The Channel3 fashion produc", and neither shows a canonical tag. The /product-search-api version also shows "10" top brands tracked and an empty "Data freshness" stat. The two pages compete with each other in search for the same queries.

    Medium impactLow effort First result in 1 month Founding Engineer

    First action

    Compare the Search Console queries for the fashion pair.

    How to measure it

    Category-page clicks

    Now
    –
    Target
    +20%
    By
    60 days

    Steps

    1. 1

      Pull the queries

      Search Console for both URL sets.

      Founding Engineer 1 day

    2. 2

      Pick the winner

      Merge, or split by intent.

      Co-founder & CEO 1 day

    3. 3

      Redirect or canonicalise

      All 15 pairs.

      Founding Engineer 1 day

    4. 4

      Rewrite descriptions

      Full sentences, one per page.

      Co-founder 1 day

    5. 5

      Fix the stats

      Real brand counts and freshness.

      Founding Engineer 1 day

    6. 6

      Measure

      Clicks and positions per category.

      Founding Engineer monthly

    First result
    1 month
    Cost
    $0
    Owner
    Founding Engineer

    Smallest test

    Fix the fashion pair first and compare it with electronics after four weeks.

    Why it works

    Pick one page per category. Either merge the pair with a 301 redirect, or keep both with clearly different intent (the API page for "fashion product API" searches, the data page for browsing brands and subcategories) and a self-canonical on each. Rewrite every description in full, under about 155 characters. Fill in or remove the empty freshness stat, and replace "10" with the real number of brands.

    Two near-identical pages split ranking signals, and cut-off descriptions lower click-through from search results.

    Risks and how to handle them

    • A short traffic dip after redirects

      Redirect one to one and watch Search Console weekly.

    Evidence

    • Your websiteDuplicate category pages: /product-search-api/fashion ("Fashion & Apparel Product API") and /product-data/fashion ("Fashion & Apparel Product Data API") share one meta description that stops mid-word at "The Channel3 fashion produc", and neither shows a canonical tag; the /product-search-api page shows "10" under "Top brands tracked" and no value for "Data freshness".Source
    • Your websiteSitemap (checked November 9, 2026): 69 static URLs plus separate brand, category and retailer sitemaps of /product-data/ pages running to thousands of URLs (the brand sitemap alone is about 1.4 million characters); 15 /product-search-api/<category> pages alongside matching /product-data/<category> pages; eight "Channel3 vs" posts (Shopify, Tavily, Keenable, TinyFish, SerpApi, ShopMy, Exa, Google); /bolt is listed but returns 404; the /vs comparison page is not listed.Source
    • PageSpeedHomepage (tested November 10, 2026): lab mobile score 96 (desktop 99), but real visitors fail Core Web Vitals on LCP (field LCP 2,970 ms; INP 146 ms and CLS 0.04 pass); field TTFB 1,740 ms; the LCP element is the cookie notice text ("We use cookies to operate our website…"); 5.1 MB page weight with about 3.8 MB of possible image savings and 0.5 s of render-blocking requests; SEO 85, flagging "robots.txt is not valid" and "Links do not have descriptive text".Source
  • 05

    The "Bags" brand page shows no products at all, and the Best Buy retailer page shows no samples, only a code example and a commission figure. The "Partner" page uses a generic name while its products say "Partners Brand". llms.txt says a brand is indexed only with a deep catalog (800+ products) or real search demand, yet these thin pages sit in the sitemaps next to thousands of others.

    Medium impactLow effort First result in 1 month Founding Engineer

    First action

    Count the brand and retailer pages that show no sample products.

    How to measure it

    Indexed pages with samples

    Now
    –
    Target
    100%
    By
    60 days

    Steps

    1. 1

      Count thin pages

      Zero or few samples, by template.

      Founding Engineer 1 day

    2. 2

      Set the bar

      Minimum clean samples to be indexed.

      Co-founder & CEO 1 hour

    3. 3

      Noindex and drop

      From the page and the sitemap.

      Founding Engineer 1 day

    4. 4

      Fix generic slugs

      Map to real brand names.

      Backend Engineer 2 days

    5. 5

      Fill retailer pages

      Samples and a retailer call to action.

      Founding Engineer 2 days

    6. 6

      Watch indexing

      Search Console coverage.

      Founding Engineer monthly

    First result
    1 month
    Cost
    Engineering time only
    Owner
    Founding Engineer

    Smallest test

    Noindex 100 empty pages and watch overall impressions for a month.

    Why it works

    Add a rule to the page generator: a page with zero (or too few) clean samples gets noindex and leaves the sitemap until it qualifies. Map generic slugs ("bags", "partner") to the real brand name, or fold them into the matching category. Give retailer pages a sample grid and a retailer-facing call to action. Pages return to the index automatically once they pass.

    Thousands of empty pages can lower how search engines judge the whole site, and they give a visitor nothing to try. Fewer, fuller pages rank better and convert better.

    Risks and how to handle them

    • Losing long-tail traffic

      Keep the pages live for visitors; only remove them from the index.

    Evidence

    • Your websiteThin brand pages: /product-data/brands/bags ("Bags Product Data API") shows no sample products, only a code example and "Do you work at Bags?"; /product-data/brands/partner has the meta description "Partner sells Office Supplies." while its product titles say "Partners Brand".Source
    • Your websiteRetailer page /product-data/retailers/best-buy: no sample products; description "Best Buy pays up to 0.7% on sales."; every call to action is for developers, none for the retailer.Source
    • Your websitellms.txt: agent-readable summaries for each audience page; a brand is indexed when it has a deep catalog (800+ products) or demonstrated search demand; product data is refreshed daily.Source
    • Your websiteSitemap (checked November 9, 2026): 69 static URLs plus separate brand, category and retailer sitemaps of /product-data/ pages running to thousands of URLs (the brand sitemap alone is about 1.4 million characters); 15 /product-search-api/<category> pages alongside matching /product-data/<category> pages; eight "Channel3 vs" posts (Shopify, Tavily, Keenable, TinyFish, SerpApi, ShopMy, Exa, Google); /bolt is listed but returns 404; the /vs comparison page is not listed.Source
  • 06

    Channel3 says 5,000+ brands partner with it, but its Shopify app, "Channel3 – Get AI Sales", launched in March 2025 and still shows "No reviews yet". It is listed only under "Metafields", a technical category merchants don't browse when they're looking for new sales channels. For a Shopify merchant, that listing is the first impression.

    High impactLow effort First result in 2 weeks Co founder

    First action

    List every brand connected through Shopify that has had clicks in the last 30 days.

    How to measure it

    App Store reviews

    Now
    –
    Target
    25
    By
    60 days

    Steps

    1. 1

      List active brands

      Shopify brands with clicks in 30 days.

      Co-founder 1 day

    2. 2

      Ask in the dashboard

      A review prompt shown to all active brands.

      Founding Engineer 2 days

    3. 3

      Send personal emails

      From a founder, with the brand's own numbers.

      Co-founder 1 week

    4. 4

      Change the category

      To the best-fitting sales channel category.

      Co-founder 1 hour

    5. 5

      New screenshots

      Shopper queries, publisher controls, SKU results.

      Co-founder 2 days

    6. 6

      Track installs

      Installs and listing views each week.

      Co-founder weekly

    First result
    2 weeks
    Cost
    $0
    Owner
    Co founder

    Smallest test

    Email 20 active Shopify brands this week asking for a review.

    Why it works

    Ask every active brand on Shopify for an honest review, both in the dashboard and by personal email, timed after a week with clicks. Move the listing to the category that best fits a sales channel. Replace the screenshots with the brand dashboard: real shopper queries, publisher approval and SKU-level clicks and conversions. Link the listing from /brands.

    Reviews and the right category drive App Store ranking and installs. The product is free, so the only friction is trust.

    Risks and how to handle them

    • Breaking App Store review rules

      Ask every active brand, never only the happy ones, and never offer incentives.

    Evidence

    • Shopify App StoreShopify App Store listing "Channel3 – Get AI Sales" ("Show up on every AI platform"): launched March 27, 2025, free, "No reviews yet", listed under the "Metafields" category, English only.Source
    • Your websiteBrands page: "Sell on net-new AI platforms"; three steps (sign up free, connect your affiliate network, products enter the index); onboarding in "5 minutes, with no technical work"; no minimum commission, and agents are "more likely to recommend products with higher commissions"; publisher approval, real shopper queries, SKU-level impressions, clicks and conversions, and "See what shoppers want (coming soon)"; the header says "5,000+ brands partner with us" while the meta description says 25,000+ brands; no testimonials, no prices and no named e-commerce platforms.Source
    • HiringBackend Engineer (New York, $120K-$200K plus 0.25%-0.50% equity, open on Y Combinator's job board; YC lists a team of 5): parsing product pages across retailers, deduplicating products across merchants, mapping variants, fast search with deterministic filters, and evals for drift and hallucinations ("Write code to understand 1B products"); stated traction: "We've indexed 100M+ products", "3,000+ developers have started using our API", "We've partnered with 5,000+ brands, including Walmart, Best Buy, Shopbop, Staples, and Home Depot" and "50M+ products processed every day".Source
  • 07

    The sitemap lists eight "Channel3 vs" posts (Shopify, Tavily, Keenable, TinyFish, SerpApi, ShopMy, Exa, Google), but the blog index shows only two. Every comparison post sends readers to /vs, a live side-by-side test against six rivals, and /vs itself is missing from the sitemap. The sitemap also lists /bolt, which returns a 404.

    Medium impactLow effort First result in 1 month Co founder

    First action

    Add the six missing comparison posts to the blog index.

    How to measure it

    Comparison-page sign-ups

    Now
    –
    Target
    +30%
    By
    60 days

    Steps

    1. 1

      Add the category

      All eight posts on the blog index.

      Founding Engineer 1 day

    2. 2

      Build the hub

      /vs with tables, the live test and links.

      Co-founder 2 days

    3. 3

      Add to the sitemap

      /vs in, /bolt out or restored.

      Founding Engineer 1 hour

    4. 4

      Link from developers

      From the FAQ answer about rivals.

      Founding Engineer 1 hour

    5. 5

      Date each page

      "Checked on" with sources.

      Co-founder 1 day

    6. 6

      Refresh

      Recheck rivals' claims.

      Co-founder quarterly

    First result
    1 month
    Cost
    $0
    Owner
    Co founder

    Smallest test

    Link /vs from the developers page and track clicks for two weeks.

    Why it works

    Add a "Compare" category to the blog index that shows all eight posts. Make /vs the hub, with a short table per rival, the live test and links to each post, and add it to the sitemap. Link the hub from the developers FAQ, which already names Shopify Catalog and SerpApi. Remove /bolt from the sitemap or bring the page back.

    Comparison searches come from developers who are about to choose a tool. One hub collects the links and makes the strongest demo, a live side-by-side test, easy to find.

    Risks and how to handle them

    • Out-of-date claims about rivals

      Date every page and recheck each quarter.

    Evidence

    • Your websiteSitemap (checked November 9, 2026): 69 static URLs plus separate brand, category and retailer sitemaps of /product-data/ pages running to thousands of URLs (the brand sitemap alone is about 1.4 million characters); 15 /product-search-api/<category> pages alongside matching /product-data/<category> pages; eight "Channel3 vs" posts (Shopify, Tavily, Keenable, TinyFish, SerpApi, ShopMy, Exa, Google); /bolt is listed but returns 404; the /vs comparison page is not listed.Source
    • Your websiteBlog index (checked November 9, 2026): 14 posts, of which the only customer story is "We Taught folk to Shop in 10 Minutes"; it lists two comparison posts (Shopify Catalog, Tavily) while the sitemap has eight; the newest post (October 26, 2026) is about matching sizes before an agent buys.Source
    • Your website/vs "Channel3 vs the open web": one shopping query sent at once to Channel3, Shopify Catalog, Exa, Parallel, Keenable and TinyFish, with four sample queries.Source
    • Your websiteDevelopers page: "100 million products from over 25,000 brands" in the headline but "25,000 retailers" in the stats; "800ms p50" search latency; /checkout "Coming soon" with early access; "Many product offers include a commission rate. When your users buy, you earn."; the FAQ names Shopify Catalog and SerpApi; no testimonials.Source
  • 08

    In the lab the homepage scores 96 on mobile, but real visitors fail Core Web Vitals on load speed: field LCP is 2,970 ms against a 2,500 ms threshold, while INP and CLS pass. The largest element to paint is the cookie notice text, not the headline. Server response for real visitors is 1,740 ms, the page weighs 5.1 MB with about 3.8 MB of possible image savings, and render-blocking requests cost about 0.5 s. Lighthouse also flags robots.txt as not valid.

    Medium impactLow effort First result in 1 month Founding Engineer

    First action

    Check the field data by device and country to see where the LCP fails.

    How to measure it

    Field LCP (p75)

    Now
    –
    Target
    Under 2,500 ms
    By
    28 days after release

    Steps

    1. 1

      Check field data

      LCP and TTFB by device and country.

      Founding Engineer 1 hour

    2. 2

      Render the notice early

      In the first HTML, with a system font.

      Founding Engineer 1 day

    3. 3

      Compress images

      AVIF/WebP at display size, lazy-load below the fold.

      Founding Engineer 1 day

    4. 4

      Cut render-blocking

      Inline critical CSS, non-blocking fonts.

      Founding Engineer 1 day

    5. 5

      Cache HTML at the edge

      For the homepage and audience pages.

      Founding Engineer 1 day

    6. 6

      Check robots.txt

      Search Console robots.txt report.

      Founding Engineer 1 hour

    7. 7

      Track

      Field data over the next 28 days.

      Founding Engineer 28 days

    First result
    1 month
    Cost
    $0
    Owner
    Founding Engineer

    Smallest test

    Compress the homepage images today and rerun PageSpeed.

    Why it works

    Render the cookie notice in the first HTML so it paints at once, or make it smaller than the headline. Serve images as AVIF or WebP at display size and lazy-load everything below the fold. Inline the critical CSS and load the fonts without blocking. Cache the homepage HTML at the edge to cut the 1.7 s server response. Check Search Console's robots.txt report and adjust any line that crawlers reject, keeping the content signals the team intends.

    Developers judge a speed-focused API by how fast its own site loads, and passing Core Web Vitals helps rankings. The fixes are mostly configuration.

    Risks and how to handle them

    • Consent must still come before tracking

      Change only how the notice renders, not the consent logic.

    Evidence

    • PageSpeedHomepage (tested November 10, 2026): lab mobile score 96 (desktop 99), but real visitors fail Core Web Vitals on LCP (field LCP 2,970 ms; INP 146 ms and CLS 0.04 pass); field TTFB 1,740 ms; the LCP element is the cookie notice text ("We use cookies to operate our website…"); 5.1 MB page weight with about 3.8 MB of possible image savings and 0.5 s of render-blocking requests; SEO 85, flagging "robots.txt is not valid" and "Links do not have descriptive text".Source

This quarter 10

The core plays for the next three months.

  • 09

    Every brand page ends with "Do you work at <brand>?" and a generic "Join the graph" link to /brands. The brand dashboard already offers real shopper queries, publisher approval and SKU-level impressions, clicks and conversions, but a brand manager who lands on their own page sees none of that, only a sample grid that may hold other brands' products.

    High impactMedium effort First result in 1 month Co founder

    First action

    Design the preview for the top 50 brand pages.

    How to measure it

    Brand-page sign-ups

    Now
    –
    Target
    3x
    By
    90 days

    Steps

    1. 1

      Design the block

      Four numbers and one button.

      Co-founder 3 days

    2. 2

      Compute brand stats

      Coverage, retailers, missing fields.

      Backend Engineer 1 week

    3. 3

      Build the claim flow

      Onboarding pre-filled with the brand.

      Founding Engineer 1 week

    4. 4

      Fix the copy

      "Nike's catalog" and the brand name casing.

      Founding Engineer 1 hour

    5. 5

      Test

      Top 200 brands against the old block.

      Co-founder 4 weeks

    6. 6

      Follow up

      Email brands that claimed but didn't connect.

      Co-founder weekly

    First result
    1 month
    Cost
    Engineering time only
    Owner
    Co founder

    Smallest test

    Hand-build the preview for ten large brands and email their e-commerce teams the link.

    Why it works

    Replace the block with a preview made from data Channel3 already has: products indexed, retailers carrying them, the commission currently offered, and the share of products with missing sizes, GTINs or prices. Add a "Claim this brand" button that opens onboarding with the brand pre-filled. Show the detailed issue list only after the brand claims the page. Fix the "Nike 's" spacing in the same release.

    A brand's own numbers persuade far more than a generic pitch, and the page is already ranking for the brand's name. It turns thousands of SEO pages into a brand sales team.

    Risks and how to handle them

    • Brands dislike public lists of their data gaps

      Show only counts in public; details after claiming.

    Builds on

    Evidence

    • Your websiteNike brand page (checked twice, November 9, 2026): 8 of the 12 "Sample Nike products" are Apple Watch models linked to the Apple brand, and another is a "Vintage Womens Crew Neck Jumper"; visible prices mix £, CA$, € and $; the structured data gives one AggregateOffer in GBP from 17 to 595; the meta description is "Nike sells Fashion & Apparel and Sporting Goods."; the brand block reads "Join it once and Nike 's catalog becomes available to every assistant, search engine, and agent".Source
    • Your websiteBrands page: "Sell on net-new AI platforms"; three steps (sign up free, connect your affiliate network, products enter the index); onboarding in "5 minutes, with no technical work"; no minimum commission, and agents are "more likely to recommend products with higher commissions"; publisher approval, real shopper queries, SKU-level impressions, clicks and conversions, and "See what shoppers want (coming soon)"; the header says "5,000+ brands partner with us" while the meta description says 25,000+ brands; no testimonials, no prices and no named e-commerce platforms.Source
    • Your websiteThin brand pages: /product-data/brands/bags ("Bags Product Data API") shows no sample products, only a code example and "Do you work at Bags?"; /product-data/brands/partner has the meta description "Partner sells Office Supplies." while its product titles say "Partners Brand".Source
  • 10

    Channel3's June post tested a realistic shopping request in AI shopping engines and found wrong sizes and colors, mismatched prices and an invented product name. It concludes that AI recommends from structured product data. That test is the strongest brand pitch Channel3 has, but it exists only as a single blog post with a link to /brands.

    High impactMedium effort First result in 6 weeks Co founder

    First action

    Write ten realistic prompts each for fashion, beauty and electronics.

    How to measure it

    Shelf-check sign-ups

    Now
    –
    Target
    100 a month
    By
    90 days

    Steps

    1. 1

      Write the prompts

      Ten per category, from real shopper queries.

      Co-founder 1 week

    2. 2

      Build the checker

      Runs against Channel3's own graph.

      Founding Engineer 2 weeks

    3. 3

      Design the report

      Score, top five gaps, fix list.

      Co-founder 1 week

    4. 4

      Gate lightly

      Email address to receive the full report.

      Founding Engineer 2 days

    5. 5

      Run outreach

      Fifty brands a week, report attached.

      Co-founder ongoing

    6. 6

      Measure

      Report to sign-up rate.

      Co-founder monthly

    First result
    6 weeks
    Cost
    Engineering time and search credits
    Owner
    Co founder

    Smallest test

    Hand-run the check for ten brands and email them the results.

    Why it works

    Turn the test into a free tool. A brand enters its store URL; Channel3 checks the brand's products in its own graph against ten realistic prompts for the category and reports what's missing or wrong: sizes, colors, GTINs, prices, stock. It closes with a fix list and "Join free to fix this in 5 minutes". Use the report as the opener for outreach to brands that already have pages in the sitemap.

    Brands can't see how agents read their data, and the report makes the problem specific to their own products. A free report also gives every outreach email a reason to exist.

    Risks and how to handle them

    • Testing third-party assistants breaks their terms

      Run checks on Channel3's own graph and the brand's public data only.

    Evidence

    • Your websiteBrands post (June 10, 2026): a test of three AI shopping engines found wrong sizes and colors, mismatched prices and an invented product name; "AI recommends from your structured product data, not your website."; cites 53% of shoppers abandoning a purchase over incorrect product data (Akeneo 2025); promotes a free listing, "a Premium Plan for scaling" and setup in about 10 minutes.Source
    • Your websiteBrands page: "Sell on net-new AI platforms"; three steps (sign up free, connect your affiliate network, products enter the index); onboarding in "5 minutes, with no technical work"; no minimum commission, and agents are "more likely to recommend products with higher commissions"; publisher approval, real shopper queries, SKU-level impressions, clicks and conversions, and "See what shoppers want (coming soon)"; the header says "5,000+ brands partner with us" while the meta description says 25,000+ brands; no testimonials, no prices and no named e-commerce platforms.Source
    • Your websiteSitemap (checked November 9, 2026): 69 static URLs plus separate brand, category and retailer sitemaps of /product-data/ pages running to thousands of URLs (the brand sitemap alone is about 1.4 million characters); 15 /product-search-api/<category> pages alongside matching /product-data/<category> pages; eight "Channel3 vs" posts (Shopify, Tavily, Keenable, TinyFish, SerpApi, ShopMy, Exa, Google); /bolt is listed but returns 404; the /vs comparison page is not listed.Source
  • 11

    The job post says 3,000+ developers have started using the API, and the seed post describes stylists, interior design tools, gifting agents and shopping assistants built on it. Yet the blog has one customer story (folk), and the homepage, developers and enterprises pages have no testimonials. The open-source UI components are the natural place for attribution.

    Medium impactMedium effort First result in 1 quarter Co founder & CEO

    First action

    List the 30 most active API keys and the apps behind them.

    How to measure it

    Gallery and badge sign-ups

    Now
    –
    Target
    150 a month
    By
    2 quarters

    Steps

    1. 1

      Find live apps

      By search volume and commission earned.

      Co-founder & CEO 1 week

    2. 2

      Ask permission

      Opt-in to be featured.

      Co-founder & CEO 2 weeks

    3. 3

      Write short stories

      What, which endpoints, time to launch.

      Co-founder 2 weeks

    4. 4

      Add the badge

      Optional, in channel3-ui.

      Founding Engineer 1 week

    5. 5

      Launch the gallery

      Linked from the homepage and developers page.

      Founding Engineer 1 week

    6. 6

      Feature monthly

      One app in a showcase email.

      Co-founder monthly

    First result
    1 quarter
    Cost
    Staff time and free credits
    Owner
    Co founder & CEO

    Smallest test

    Publish three app stories and add the badge to the UI components.

    Why it works

    Feature a dozen live apps in a gallery, each with a short page: what it does, which endpoints it uses, how long the integration took. Add an optional "Shopping by Channel3" badge to the channel3-ui components that links to developer sign-up, and offer extra free credits to apps that keep it. Send a monthly showcase email to all developers.

    Developers trust other developers' launches more than vendor claims, and every badge is a referral link that lives inside a shopping app.

    Risks and how to handle them

    • Developers don't want third-party branding

      Keep it optional and reward it with credits.

    Evidence

    • HiringBackend Engineer (New York, $120K-$200K plus 0.25%-0.50% equity, open on Y Combinator's job board; YC lists a team of 5): parsing product pages across retailers, deduplicating products across merchants, mapping variants, fast search with deterministic filters, and evals for drift and hallucinations ("Write code to understand 1B products"); stated traction: "We've indexed 100M+ products", "3,000+ developers have started using our API", "We've partnered with 5,000+ brands, including Walmart, Best Buy, Shopbop, Staples, and Home Depot" and "50M+ products processed every day".Source
    • Your websiteBlog index (checked November 9, 2026): 14 posts, of which the only customer story is "We Taught folk to Shop in 10 Minutes"; it lists two comparison posts (Shopify Catalog, Tavily) while the sitemap has eight; the newest post (October 26, 2026) is about matching sizes before an agent buys.Source
    • Your websiteCustomer story: folk, an AI assistant in messaging apps from the same YC batch, integrated the API in about 10 minutes and now answers shopping requests with structured products, live prices and stock, and monetized links; the post gives no usage or sales figures.Source
    • Your websiteSeed post (December 10, 2025): $6M led by Matrix with Y Combinator and Ludlow Ventures; at the time "more than 50 million products" and hundreds of developers building stylists, interior design tools, gifting agents and shopping assistants; "Humans shop on Google; AIs shop on Channel3."Source
    • GitHubGitHub org channel3-ai: 18 public repos and 12 followers; channel3-ui (8 stars), skills (12 stars), mcp-server (2 stars), langchain-channel3 and agent-toolkit (0 stars each), plus channel3-for-woocommerce and channel3-for-magento plugins; the website's only platform support page is /support/bigcommerce.Source
  • 12

    The API costs 1,000 free credits a month, then $0.007 a credit, and anyone who wants bulk pricing has to email support. SerpApi, which the developers FAQ names as an alternative, publishes a full plan ladder from 250 free searches up to $275 a month. A developer planning a launch can't see what Channel3 costs at scale without contacting the company.

    Medium impactLow effort First result in 1 month Co founder & CEO

    First action

    Group current paying accounts by monthly credit use.

    How to measure it

    Paid accounts

    Now
    –
    Target
    +30%
    By
    90 days

    Steps

    1. 1

      Study usage

      Monthly credits per paying account.

      Co-founder & CEO 2 days

    2. 2

      Set the tiers

      Two or three commitments.

      Co-founder & CEO 2 days

    3. 3

      Add to billing

      Self-serve upgrade in the dashboard.

      Founding Engineer 1 week

    4. 4

      Publish

      On the docs pricing page and /developers.

      Co-founder 1 day

    5. 5

      Build the calculator

      Cost against expected commission.

      Founding Engineer 3 days

    6. 6

      Review

      Upgrade and churn rates.

      Co-founder & CEO quarterly

    First result
    1 month
    Cost
    Engineering time only
    Owner
    Co founder & CEO

    Smallest test

    Publish one committed tier on the pricing page.

    Why it works

    Publish two or three monthly commitments with lower per-credit rates above the free tier, with self-serve upgrades in the dashboard; keep custom pricing for enterprises. Add a calculator: searches a month × price, next to the expected commission earned at a typical conversion rate, so developers see the net cost.

    Visible prices remove a sales step for small teams, and showing commission next to cost turns the API into a product that can pay for itself.

    Risks and how to handle them

    • Lower revenue per credit

      Discount only committed volume above current averages.

    Evidence

    • Your websiteAPI pricing docs: "1000 free credits every month, and extra credits are billed as they're used, at just $0.007 each"; most endpoints cost 1 credit; agents can pay per use through MPP without an API key or signup; bulk pricing means emailing support.Source
    • Competitor researchRivals' own homepages: Rye, "Universal agentic checkout that actually works", with a Product Data API, affiliate commissions and a 99.9% API uptime commitment; SerpApi, a search-scraping API with Google Shopping and Amazon product APIs and published plans from 250 free searches to $275 a month for 30,000. Channel3's own comparison describes Shopify Catalog as a free endpoint for eligible Shopify merchants only.Source
    • Your websiteDevelopers page: "100 million products from over 25,000 brands" in the headline but "25,000 retailers" in the stats; "800ms p50" search latency; /checkout "Coming soon" with early access; "Many product offers include a commission rate. When your users buy, you earn."; the FAQ names Shopify Catalog and SerpApi; no testimonials.Source
  • 13

    A June blog post promotes "a free listing to start, a Premium Plan for scaling", but the brands page shows no prices and no plans, and the Shopify listing shows only "Free". A brand that is ready to pay for more can't find out what it would get.

    High impactMedium effort First result in 1 month Co founder

    First action

    Write down exactly what Premium includes today.

    How to measure it

    Premium brands

    Now
    –
    Target
    50
    By
    90 days

    Steps

    1. 1

      Define the plan

      Features, price, terms.

      Co-founder 1 week

    2. 2

      Write the table

      Free vs Premium.

      Co-founder 2 days

    3. 3

      Add to /brands

      Below the three steps.

      Founding Engineer 2 days

    4. 4

      Prompt in the dashboard

      After a click threshold.

      Founding Engineer 1 week

    5. 5

      Update the listing

      Shopify App Store pricing section.

      Co-founder 1 day

    6. 6

      Measure

      Upgrade rate by brand size.

      Co-founder monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Co founder

    Smallest test

    Add one line about Premium with a "Talk to us" link to /brands.

    Why it works

    Add a Free vs Premium table to /brands: what each includes, the price (or "from"), and how ranking and commission work in each. Add an upgrade prompt in the dashboard when a brand reaches a threshold of clicks, and mention Premium on the Shopify listing.

    Brands that see results are ready to pay at that moment; a clear plan turns that intent into revenue without a sales call.

    Risks and how to handle them

    • Paid visibility looks like ads to agents and shoppers

      Explain how ranking works and label anything sponsored.

    Evidence

    • Your websiteBrands post (June 10, 2026): a test of three AI shopping engines found wrong sizes and colors, mismatched prices and an invented product name; "AI recommends from your structured product data, not your website."; cites 53% of shoppers abandoning a purchase over incorrect product data (Akeneo 2025); promotes a free listing, "a Premium Plan for scaling" and setup in about 10 minutes.Source
    • Your websiteBrands page: "Sell on net-new AI platforms"; three steps (sign up free, connect your affiliate network, products enter the index); onboarding in "5 minutes, with no technical work"; no minimum commission, and agents are "more likely to recommend products with higher commissions"; publisher approval, real shopper queries, SKU-level impressions, clicks and conversions, and "See what shoppers want (coming soon)"; the header says "5,000+ brands partner with us" while the meta description says 25,000+ brands; no testimonials, no prices and no named e-commerce platforms.Source
    • Shopify App StoreShopify App Store listing "Channel3 – Get AI Sales" ("Show up on every AI platform"): launched March 27, 2025, free, "No reviews yet", listed under the "Metafields" category, English only.Source
  • 14

    3,000+ developers have started using the API, and the pitch is "When your users buy, you earn." The moment of real value is a developer's first commission, not their first search, yet the free tier, the copy-prompt button, the UI components and the framework toolkits all stop at getting started.

    High impactMedium effort First result in 1 month Founding Engineer

    First action

    Instrument the five steps and look at last quarter's sign-ups.

    How to measure it

    30-day first-commission rate

    Now
    –
    Target
    2x
    By
    90 days

    Steps

    1. 1

      Instrument

      Five funnel events per developer.

      Founding Engineer 1 week

    2. 2

      Find the stalls

      Largest drop between steps.

      Co-founder & CEO 2 days

    3. 3

      Write the nudges

      One email per stall point.

      Co-founder 1 week

    4. 4

      Ship the checklist

      In the dashboard.

      Founding Engineer 1 week

    5. 5

      Talk to stalled developers

      Ten short calls.

      Co-founder & CEO 2 weeks

    6. 6

      Review

      Funnel each week.

      Co-founder & CEO weekly

    First result
    1 month
    Cost
    Engineering time only
    Owner
    Founding Engineer

    Smallest test

    Email last month's sign-ups who never made a search, with one working prompt.

    Why it works

    Track five steps for every developer: key created, first search, 100 searches, first click on a monetized link, first commission. At each place they stall, send a targeted nudge: a working prompt for their stack, the UI components, a commissions explainer, a sample app. Add a dashboard checklist that shows progress toward a first payout.

    Developers who earn stay, and earning is what makes the paid credits feel cheap. Knowing where they stall shows which docs or tools to build next.

    Risks and how to handle them

    • Too many emails

      One nudge per stall, with an opt-out.

    Evidence

    • HiringBackend Engineer (New York, $120K-$200K plus 0.25%-0.50% equity, open on Y Combinator's job board; YC lists a team of 5): parsing product pages across retailers, deduplicating products across merchants, mapping variants, fast search with deterministic filters, and evals for drift and hallucinations ("Write code to understand 1B products"); stated traction: "We've indexed 100M+ products", "3,000+ developers have started using our API", "We've partnered with 5,000+ brands, including Walmart, Best Buy, Shopbop, Staples, and Home Depot" and "50M+ products processed every day".Source
    • Your websiteDevelopers page: "100 million products from over 25,000 brands" in the headline but "25,000 retailers" in the stats; "800ms p50" search latency; /checkout "Coming soon" with early access; "Many product offers include a commission rate. When your users buy, you earn."; the FAQ names Shopify Catalog and SerpApi; no testimonials.Source
    • Your websiteAPI pricing docs: "1000 free credits every month, and extra credits are billed as they're used, at just $0.007 each"; most endpoints cost 1 credit; agents can pay per use through MPP without an API key or signup; bulk pricing means emailing support.Source
    • GitHubGitHub org channel3-ai: 18 public repos and 12 followers; channel3-ui (8 stars), skills (12 stars), mcp-server (2 stars), langchain-channel3 and agent-toolkit (0 stars each), plus channel3-for-woocommerce and channel3-for-magento plugins; the website's only platform support page is /support/bigcommerce.Source
  • 15

    Channel3's GitHub has channel3-for-woocommerce and channel3-for-magento plugins, updated in the last two months, and there are apps for Shopify and BigCommerce. Yet the brands page names no e-commerce platform, and the only platform page on the site is a BigCommerce support page with no H1. A WooCommerce or Magento merchant has no way to learn from the site that a plugin exists.

    High impactMedium effort First result in 6 weeks Founding Engineer

    First action

    Decide whether each plugin is ready to launch and write its install steps.

    How to measure it

    Platform sign-ups

    Now
    –
    Target
    40% of new brands
    By
    90 days

    Steps

    1. 1

      Check readiness

      Test each plugin on a fresh store.

      Founding Engineer 1 week

    2. 2

      Write platform pages

      Install, sync, FAQ.

      Co-founder 1 week

    3. 3

      Add logos to /brands

      With links to each page.

      Founding Engineer 1 day

    4. 4

      Submit to marketplaces

      WooCommerce and Magento.

      Founding Engineer 2 weeks

    5. 5

      Tag sign-ups

      Source platform for each brand.

      Founding Engineer 1 day

    6. 6

      Measure

      Sign-ups and sync errors by platform.

      Co-founder monthly

    First result
    6 weeks
    Cost
    Engineering time only
    Owner
    Founding Engineer

    Smallest test

    Publish the WooCommerce page with a beta sign-up and count requests.

    Why it works

    Create /brands/shopify, /brands/woocommerce, /brands/magento and /brands/bigcommerce pages, each with install steps, what syncs and how often, and a support FAQ. Add platform logos and links to the brands page. Submit the WooCommerce and Magento plugins to each platform's official marketplace once they are production-ready.

    Merchants search "<platform> + AI shopping". Platform pages catch those searches, and marketplace listings put Channel3 where merchants already install tools.

    Risks and how to handle them

    • Support load from new platforms

      Launch with a support FAQ per platform and sync health alerts.

    Evidence

    • GitHubGitHub org channel3-ai: 18 public repos and 12 followers; channel3-ui (8 stars), skills (12 stars), mcp-server (2 stars), langchain-channel3 and agent-toolkit (0 stars each), plus channel3-for-woocommerce and channel3-for-magento plugins; the website's only platform support page is /support/bigcommerce.Source
    • Your websiteBrands page: "Sell on net-new AI platforms"; three steps (sign up free, connect your affiliate network, products enter the index); onboarding in "5 minutes, with no technical work"; no minimum commission, and agents are "more likely to recommend products with higher commissions"; publisher approval, real shopper queries, SKU-level impressions, clicks and conversions, and "See what shoppers want (coming soon)"; the header says "5,000+ brands partner with us" while the meta description says 25,000+ brands; no testimonials, no prices and no named e-commerce platforms.Source
    • Shopify App StoreShopify App Store listing "Channel3 – Get AI Sales" ("Show up on every AI platform"): launched March 27, 2025, free, "No reviews yet", listed under the "Metafields" category, English only.Source
    • Your websiteSitemap (checked November 9, 2026): 69 static URLs plus separate brand, category and retailer sitemaps of /product-data/ pages running to thousands of URLs (the brand sitemap alone is about 1.4 million characters); 15 /product-search-api/<category> pages alongside matching /product-data/<category> pages; eight "Channel3 vs" posts (Shopify, Tavily, Keenable, TinyFish, SerpApi, ShopMy, Exa, Google); /bolt is listed but returns 404; the /vs comparison page is not listed.Source
  • 16

    Step two of brand onboarding is "connect your affiliate network", and the seed post says most products are monetizable through the major commission networks. In May, Awin, which has over a million active partners, named Channel3 one of its 100 most innovative affiliate partners. That recognition is a door into the advertisers Channel3 wants as brands.

    High impactMedium effort First result in 1 quarter Co founder & CEO

    First action

    Send Awin's partner team a one-page proposal citing the Power 100 listing.

    How to measure it

    Network approvals

    Now
    –
    Target
    +500
    By
    2 quarters

    Steps

    1. 1

      Pitch

      One-page proposal to the network.

      Co-founder & CEO 2 weeks

    2. 2

      Write the guide

      AI shopping traffic for advertisers.

      Co-founder 2 weeks

    3. 3

      Build the page

      Steps for network advertisers.

      Founding Engineer 2 days

    4. 4

      Host the webinar

      With the network's team.

      Co-founder & CEO 1 day

    5. 5

      Track

      Approvals and brand sign-ups by network.

      Co-founder monthly

    6. 6

      Repeat

      The next network.

      Co-founder & CEO next quarter

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Co founder & CEO

    Smallest test

    Ask the network to feature Channel3 in one advertiser newsletter.

    Why it works

    Propose a joint program with Awin: a guide for advertisers on AI shopping traffic, a co-hosted webinar, and an easy way for Awin advertisers to approve Channel3 as a publisher. Add an "Awin advertisers" page on the site with steps. Once it works, repeat with the other networks brands connect.

    Networks reach thousands of advertisers in one email, and those advertisers already pay commission, which is how Channel3 earns.

    Risks and how to handle them

    • The network sees Channel3 as a rival

      Frame it as new traffic for the network's advertisers.

    Evidence

    • Your websiteBrands page: "Sell on net-new AI platforms"; three steps (sign up free, connect your affiliate network, products enter the index); onboarding in "5 minutes, with no technical work"; no minimum commission, and agents are "more likely to recommend products with higher commissions"; publisher approval, real shopper queries, SKU-level impressions, clicks and conversions, and "See what shoppers want (coming soon)"; the header says "5,000+ brands partner with us" while the meta description says 25,000+ brands; no testimonials, no prices and no named e-commerce platforms.Source
    • Your websiteAwin Power 100 post (May 12, 2026): Channel3 named among Awin's 100 most innovative affiliate partners; Awin has over one million active partners.Source
    • Your websiteSeed post (December 10, 2025): $6M led by Matrix with Y Combinator and Ludlow Ventures; at the time "more than 50 million products" and hundreds of developers building stylists, interior design tools, gifting agents and shopping assistants; "Humans shop on Google; AIs shop on Channel3."Source
  • 17

    Channel3 has built toolkits for LangChain, the Vercel AI SDK and LangChain.js, plus skills for AI coding agents, but on GitHub they have 0 to 12 stars. Developers who build agents usually pick tools from their framework's documentation, not from vendor sites.

    Medium impactLow effort First result in 1 month Founding Engineer

    First action

    Open a pull request adding Channel3 to one framework's integration docs.

    How to measure it

    Framework-sourced sign-ups

    Now
    –
    Target
    200 a month
    By
    2 quarters

    Steps

    1. 1

      Polish the READMEs

      30-second working examples.

      Founding Engineer 2 days

    2. 2

      Submit to integration docs

      One pull request per framework.

      Founding Engineer 1 week

    3. 3

      Build templates

      One starter app per framework.

      Founding Engineer 2 weeks

    4. 4

      Link from /developers

      A "Use with your framework" row.

      Founding Engineer 1 day

    5. 5

      Tag sign-ups

      UTM per package and template.

      Founding Engineer 1 day

    6. 6

      Measure

      Sign-ups and stars per package.

      Co-founder monthly

    First result
    1 month
    Cost
    Engineering time only
    Owner
    Founding Engineer

    Smallest test

    Publish one template and post it in the framework's community channel.

    Why it works

    Submit each package to the framework's official or community integration pages. Give every README a 30-second working example and a link to a free key. Publish one starter template per framework (a gifting agent, a style assistant) and link them from /developers.

    Integration lists are where developers look first, and a working template makes the first search take minutes instead of hours.

    Risks and how to handle them

    • Maintainers decline the pull request

      Publish the templates and community examples anyway.

    Evidence

    • GitHubGitHub org channel3-ai: 18 public repos and 12 followers; channel3-ui (8 stars), skills (12 stars), mcp-server (2 stars), langchain-channel3 and agent-toolkit (0 stars each), plus channel3-for-woocommerce and channel3-for-magento plugins; the website's only platform support page is /support/bigcommerce.Source
    • HiringBackend Engineer (New York, $120K-$200K plus 0.25%-0.50% equity, open on Y Combinator's job board; YC lists a team of 5): parsing product pages across retailers, deduplicating products across merchants, mapping variants, fast search with deterministic filters, and evals for drift and hallucinations ("Write code to understand 1B products"); stated traction: "We've indexed 100M+ products", "3,000+ developers have started using our API", "We've partnered with 5,000+ brands, including Walmart, Best Buy, Shopbop, Staples, and Home Depot" and "50M+ products processed every day".Source
    • Your websiteDevelopers page: "100 million products from over 25,000 brands" in the headline but "25,000 retailers" in the stats; "800ms p50" search latency; /checkout "Coming soon" with early access; "Many product offers include a commission rate. When your users buy, you earn."; the FAQ names Shopify Catalog and SerpApi; no testimonials.Source
  • 18

    Brands join in five minutes with no technical work, and the dashboard tracks real shopper queries, impressions, clicks and conversions per SKU. A brand that sets up and never logs in again doesn't see that value, and is less likely to raise its commission or upgrade.

    Medium impactLow effort First result in 1 month Co founder

    First action

    Build the report for ten brands by hand from the dashboard.

    How to measure it

    Monthly active brands

    Now
    –
    Target
    +40%
    By
    90 days

    Steps

    1. 1

      Design the report

      Five sections, one suggestion.

      Co-founder 3 days

    2. 2

      Hand-build ten

      Check what brands respond to.

      Co-founder 1 week

    3. 3

      Automate

      From dashboard data.

      Founding Engineer 1 week

    4. 4

      Add data-fix links

      Straight to the products to fix.

      Founding Engineer 2 days

    5. 5

      Send monthly

      All active brands.

      Co-founder monthly

    6. 6

      Measure

      Opens, logins, fixes, upgrades.

      Co-founder monthly

    First result
    1 month
    Cost
    Engineering time only
    Owner
    Co founder

    Smallest test

    Email ten brands a hand-made report this month.

    Why it works

    Email each brand a monthly report: the top shopper queries where its products appeared, impressions, clicks and conversions, products held back by missing data, and one suggestion (fill in sizes, or test a higher commission on a category). Link each section to the dashboard, and to Premium where it fits.

    A monthly reminder of results keeps brands active, surfaces data fixes that raise performance, and creates natural upgrade moments.

    Risks and how to handle them

    • Small brands see tiny numbers

      Lead with queries and fixes, not totals.

    Evidence

    • Your websiteBrands page: "Sell on net-new AI platforms"; three steps (sign up free, connect your affiliate network, products enter the index); onboarding in "5 minutes, with no technical work"; no minimum commission, and agents are "more likely to recommend products with higher commissions"; publisher approval, real shopper queries, SKU-level impressions, clicks and conversions, and "See what shoppers want (coming soon)"; the header says "5,000+ brands partner with us" while the meta description says 25,000+ brands; no testimonials, no prices and no named e-commerce platforms.Source
    • Your websiteBrands post (June 10, 2026): a test of three AI shopping engines found wrong sizes and colors, mismatched prices and an invented product name; "AI recommends from your structured product data, not your website."; cites 53% of shoppers abandoning a purchase over incorrect product data (Akeneo 2025); promotes a free listing, "a Premium Plan for scaling" and setup in about 10 minutes.Source

Big bets 3

Larger plays that can change the trajectory.

  • 19

    The open Backend Engineer role is about deduplicating products across merchants, mapping variants and building evals for drift and hallucinations. The newest blog post is about matching sizes before an agent buys, and the June post argues that wrong data is what breaks AI shopping. Rivals sell checkout, scale or coverage; none publishes how accurate its product data is.

    High impactHigh effort First result in 1 quarter Backend Engineer

    First action

    Pick the four measures and run them on a 1,000-product sample.

    How to measure it

    Benchmark-influenced deals

    Now
    –
    Target
    10
    By
    2 quarters

    Steps

    1. 1

      Choose the measures

      Brand, variant, price and stock, freshness.

      Backend Engineer 1 week

    2. 2

      Build the sample set

      Hand-checked products per category.

      Backend Engineer 3 weeks

    3. 3

      Automate the run

      Monthly, from the eval pipeline.

      Backend Engineer 1 month

    4. 4

      Write the method

      How each measure is checked.

      Founding Engineer 1 week

    5. 5

      Publish the first edition

      Page plus a blog post.

      Co-founder & CEO 1 week

    6. 6

      Invite comparisons

      Open sample set for other providers.

      Co-founder & CEO ongoing

    7. 7

      Use in sales

      On /enterprises and in proposals.

      Co-founder & CEO ongoing

    First result
    1 quarter
    Cost
    One engineer's time for a quarter, plus labeling
    Owner
    Backend Engineer

    Smallest test

    Publish one category's variant-matching score with the method.

    Why it works

    Turn the internal evals into a public monthly scorecard. Measure the share of products with the correct brand, variant-matching accuracy, price and stock accuracy against the merchant's page, and median freshness, each by category. Publish the method and an open sample set, and invite other providers to run the same test. Put the scorecard on /developers and /enterprises.

    "Highest quality product graph" is a claim; a monthly number is proof. It sets the terms of comparison in a market that is just forming, and it gives the engineering team a clear target.

    Risks and how to handle them

    • Early numbers look weak

      Publish the trend, and start with categories where the data is strongest.

    Builds on

    Evidence

    • HiringBackend Engineer (New York, $120K-$200K plus 0.25%-0.50% equity, open on Y Combinator's job board; YC lists a team of 5): parsing product pages across retailers, deduplicating products across merchants, mapping variants, fast search with deterministic filters, and evals for drift and hallucinations ("Write code to understand 1B products"); stated traction: "We've indexed 100M+ products", "3,000+ developers have started using our API", "We've partnered with 5,000+ brands, including Walmart, Best Buy, Shopbop, Staples, and Home Depot" and "50M+ products processed every day".Source
    • Your websiteBlog index (checked November 9, 2026): 14 posts, of which the only customer story is "We Taught folk to Shop in 10 Minutes"; it lists two comparison posts (Shopify Catalog, Tavily) while the sitemap has eight; the newest post (October 26, 2026) is about matching sizes before an agent buys.Source
    • Your websiteBrands post (June 10, 2026): a test of three AI shopping engines found wrong sizes and colors, mismatched prices and an invented product name; "AI recommends from your structured product data, not your website."; cites 53% of shoppers abandoning a purchase over incorrect product data (Akeneo 2025); promotes a free listing, "a Premium Plan for scaling" and setup in about 10 minutes.Source
    • Competitor researchRivals' own homepages: Rye, "Universal agentic checkout that actually works", with a Product Data API, affiliate commissions and a 99.9% API uptime commitment; SerpApi, a search-scraping API with Google Shopping and Amazon product APIs and published plans from 250 free searches to $275 a month for 30,000. Channel3's own comparison describes Shopify Catalog as a free endpoint for eligible Shopify merchants only.Source
  • 20

    The enterprises page lists a shopping agent, search, a 7.7% built-in network rate and SOC 2, but it names no customers, and its uptime FAQ gives no SLA figure. The homepage logos are brand partners, not enterprise customers. Rye, which sells to the same buyers, publishes a 99.9% uptime commitment and has checkout live, while Channel3's checkout is still "coming soon".

    High impactHigh effort First result in 1 quarter Co founder & CEO

    First action

    Ask the three largest API customers whether they will be named.

    How to measure it

    Enterprise deals

    Now
    –
    Target
    5
    By
    2 quarters

    Steps

    1. 1

      Secure references

      Two or three named launches.

      Co-founder & CEO 1 month

    2. 2

      Write case studies

      Launch time, queries, commission.

      Co-founder 1 month

    3. 3

      Publish an SLA

      Uptime history and the commitment.

      Founding Engineer 2 weeks

    4. 4

      Run a checkout pilot

      One enterprise, early access.

      Founding Engineer 1 quarter

    5. 5

      Rebuild /enterprises

      Customers, SLA, security, pilot results.

      Co-founder 2 weeks

    6. 6

      Track the pipeline

      Deals and time to close.

      Co-founder & CEO monthly

    First result
    1 quarter
    Cost
    Founder and engineering time
    Owner
    Co founder & CEO

    Smallest test

    Publish one anonymised enterprise case study with numbers.

    Build the monitor. A live page fed by the public registries and re-checked every day. Usually live within days.

    Book a working session

    Why it works

    Get two or three platforms or enterprises to agree to be named, and write short case studies with launch time, queries served and commission earned. Publish uptime history from the status page and a standard SLA. Run a checkout early-access pilot with one enterprise and publish the results. Package it all on /enterprises with a security section.

    Enterprise buyers need peers, numbers and commitments before they sign. Each named launch makes the next sale shorter.

    Risks and how to handle them

    • Customers won't be named

      Offer anonymised case studies with real numbers.

    Builds on

    Evidence

    • Your websiteEnterprises page: a conversational shopping agent, search, a "7.7% built-in network rate", insights and checkout "coming soon"; no named customers or testimonials; the uptime FAQ gives no SLA figures; "25,000+ retailers" in one place and "more than 25,000 brands" in the FAQ; the call to action is to talk it through with an AI assistant or "a human on the Channel3 team".Source
    • Competitor researchRivals' own homepages: Rye, "Universal agentic checkout that actually works", with a Product Data API, affiliate commissions and a 99.9% API uptime commitment; SerpApi, a search-scraping API with Google Shopping and Amazon product APIs and published plans from 250 free searches to $275 a month for 30,000. Channel3's own comparison describes Shopify Catalog as a free endpoint for eligible Shopify merchants only.Source
    • Your websiteDevelopers page: "100 million products from over 25,000 brands" in the headline but "25,000 retailers" in the stats; "800ms p50" search latency; /checkout "Coming soon" with early access; "Many product offers include a commission rate. When your users buy, you earn."; the FAQ names Shopify Catalog and SerpApi; no testimonials.Source
    • Your websiteHomepage: H1 "Where agents find products"; three paths: developers ("One API for 100M+ products"), brands ("Join 5,000+ brands") and enterprises ("Talk to us"); brand-partner logos Walmart, Best Buy, CVS, Staples and Fanatics; market stats such as "58% of consumers have used AI to shop" and "$3-5T projected agentic commerce revenue by 2030"; no testimonials or customer stories.Source
  • 21

    The homepage makes its case with other companies' statistics (Stripe, Adobe, McKinsey). Channel3 holds something they don't: real shopping queries from AI apps, which brands already see one by one in the dashboard, with "See what shoppers want" marked as coming soon. With 50M+ products processed daily, it can describe agent shopping from first-hand data.

    High impactMedium effort First result in 1 quarter Co founder & CEO

    First action

    Pull last quarter's queries and draft five charts.

    How to measure it

    Report mentions

    Now
    –
    Target
    10 per edition
    By
    2 quarters

    Steps

    1. 1

      Set privacy rules

      Aggregation thresholds; no app or user identified.

      Co-founder & CEO 1 week

    2. 2

      Pull the data

      Queries by category, attribute, price.

      Backend Engineer 2 weeks

    3. 3

      Write the report

      Five findings and charts.

      Co-founder 2 weeks

    4. 4

      Pitch press

      Retail and commerce reporters.

      Co-founder & CEO 1 week

    5. 5

      Brand slices

      Each brand's own trends in the dashboard.

      Founding Engineer 1 month

    6. 6

      Repeat

      Every quarter.

      Co-founder quarterly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Co founder & CEO

    Smallest test

    Publish one chart of the fastest-growing agent queries as a blog post.

    Why it works

    Publish a quarterly report of aggregated, anonymised trends: the fastest-growing categories and attributes in agent queries, the price bands asked for, how long queries are, and which data fields decide whether a product gets shown. Give each brand its own slice in the dashboard (the coming-soon feature), and use the report for press, brand outreach and enterprise pitches.

    Original data earns press and links, and positions Channel3 as the source on agentic shopping instead of a company quoting others.

    Risks and how to handle them

    • Exposing partners' data

      Aggregate across apps, set minimum thresholds and get partner sign-off.

    Evidence

    • Your websiteBrands page: "Sell on net-new AI platforms"; three steps (sign up free, connect your affiliate network, products enter the index); onboarding in "5 minutes, with no technical work"; no minimum commission, and agents are "more likely to recommend products with higher commissions"; publisher approval, real shopper queries, SKU-level impressions, clicks and conversions, and "See what shoppers want (coming soon)"; the header says "5,000+ brands partner with us" while the meta description says 25,000+ brands; no testimonials, no prices and no named e-commerce platforms.Source
    • Your websiteHomepage: H1 "Where agents find products"; three paths: developers ("One API for 100M+ products"), brands ("Join 5,000+ brands") and enterprises ("Talk to us"); brand-partner logos Walmart, Best Buy, CVS, Staples and Fanatics; market stats such as "58% of consumers have used AI to shop" and "$3-5T projected agentic commerce revenue by 2030"; no testimonials or customer stories.Source
    • HiringBackend Engineer (New York, $120K-$200K plus 0.25%-0.50% equity, open on Y Combinator's job board; YC lists a team of 5): parsing product pages across retailers, deduplicating products across merchants, mapping variants, fast search with deterministic filters, and evals for drift and hallucinations ("Write code to understand 1B products"); stated traction: "We've indexed 100M+ products", "3,000+ developers have started using our API", "We've partnered with 5,000+ brands, including Walmart, Best Buy, Shopbop, Staples, and Home Depot" and "50M+ products processed every day".Source

Wildcards 1

Unexpected experiments, each with a cheap way to test it.

  • 22

    The pricing docs say agents can pay per use through MPP without an API key or a signup, and the site already publishes llms.txt and agent-readable summaries. The /mcp page shows people how to add Channel3 to a chat app. But nothing presents pay-per-call as a front door, so the customer who needs no onboarding at all, an agent, goes unmarketed.

    Medium impactLow effort First result in 1 month Founding Engineer

    First action

    Add the pay-per-call example to the top of llms.txt.

    How to measure it

    Agent-paid calls

    Now
    –
    Target
    10,000 a month
    By
    2 quarters

    Steps

    1. 1

      Write the example

      One copy-paste pay-per-call request.

      Founding Engineer 1 day

    2. 2

      Update agent files

      llms.txt and agents.md, first section.

      Founding Engineer 1 day

    3. 3

      Add to /developers

      "For agents: no key needed".

      Founding Engineer 1 day

    4. 4

      List in directories

      MCP and agent-tool registries.

      Founding Engineer 1 week

    5. 5

      Track separately

      Agent-paid calls as a channel.

      Founding Engineer 2 days

    6. 6

      Review

      Volume and repeat callers.

      Co-founder & CEO monthly

    First result
    1 month
    Cost
    $0
    Owner
    Founding Engineer

    Smallest test

    Add the example to llms.txt and watch pay-per-call volume for a month.

    Why it works

    Put pay-per-call first in llms.txt and the developer agents.md summary, with one copy-paste example. Add a short section on /developers called "For agents: no key needed". List the MCP server and the pay-per-call endpoint in the main MCP and agent-tool directories. Track agent-paid calls as their own channel.

    Agents increasingly pick tools themselves. A provider they can call and pay without a human signing up gets chosen by default.

    Risks and how to handle them

    • Abuse of keyless access

      Rely on per-call payment and rate limits.

    Evidence

    • Your websiteAPI pricing docs: "1000 free credits every month, and extra credits are billed as they're used, at just $0.007 each"; most endpoints cost 1 credit; agents can pay per use through MPP without an API key or signup; bulk pricing means emailing support.Source
    • Your websitellms.txt: agent-readable summaries for each audience page; a brand is indexed when it has a deep catalog (800+ products) or demonstrated search demand; product data is refreshed daily.Source
    • Your website/mcp page "Shopping, right where you chat": add Channel3 to AI chat apps or paste the MCP server URL into any MCP client; free; no usage numbers or testimonials.Source
    • Your websiteSitemap (checked November 9, 2026): 69 static URLs plus separate brand, category and retailer sitemaps of /product-data/ pages running to thousands of URLs (the brand sitemap alone is about 1.4 million characters); 15 /product-search-api/<category> pages alongside matching /product-data/<category> pages; eight "Channel3 vs" posts (Shopify, Tavily, Keenable, TinyFish, SerpApi, ShopMy, Exa, Google); /bolt is listed but returns 404; the /vs comparison page is not listed.Source

03

How Programmable can help

Where an idea in this playbook is something Programmable builds or runs, it's listed here with what we'd do. Everything else is yours to run.

Have it built

ProgrammableAgency

1 of the 22 ideas are things Programmable builds and runs for its customers: pages, outreach, prospect lists, booking flows and monitors. Pick one, or send the whole list.

Monitors1A live page fed by the public registries and re-checked every day.

A 30-minute session with the engineer who would build it, not a sales call. You leave with a plan whether or not you hire us.

Book a working session

Usually live within days.

More example playbooks and reviews
ProgrammableDigital

Show Channel3’s product working

Turn screenshots or the website into an animated product demo in its own brand, for the homepage, launch posts and outreach in this playbook.

Make a demo (opens programmable.digital in a new tab)

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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on November 10, 2026, and cites them throughout. Channel3 did not commission, review or endorse it, and Programmable is not affiliated with Channel3. Company and product names are trademarks of their owners, used only to identify them. The ideas are suggestions and opinion, not professional, legal or financial advice, and not statements about how Channel3 runs its business.

Something wrong, or do you represent Channel3? Email [email protected] and we will correct it or take it down.

30/60/90 roadmap

What to focus on in each month, and the ideas that carry it.

  1. Days 1 to 308 ideas

    Fix the showcase: clean brand pages, one set of numbers, one compliance line, merged category pages, thin pages out of search, Shopify reviews, the comparison hub and homepage speed.

  2. Days 31 to 6011 ideas

    Turn reach into sign-ups and revenue: brand previews, the AI shelf check, a builder gallery, published prices and the Premium plan, developer activation, platform plugins, the affiliate-network partnership, framework listings, monthly brand reports and pay-per-call access for agents.

  3. Days 61 to 903 ideas

    Commit to the big bets: a public data-quality benchmark, the enterprise proof pack and the quarterly shopping-query report.

The research behind the plan

3 research areas, each summarised in a few lines. Open any of them for the full detail.

Customers

What customers say

Customers value one API across retailers instead of scraping each one. The most cited problem: messy product data: wrong sizes, colors, prices and brands.

  • Built-in commission, so a shopping app earns from day one
  • Building and maintaining retailer integrations
  • In their words: “product graph”

Market

Competitive landscape

4 competitors compared: Shopify Catalog, Rye, SerpApi and Exa and other web search APIs.

  • Gap to exploit: Published, measured product-data quality
  • Shopify Catalog: Shopify merchants only, with no built-in commission
  • Rye: Checkout-led rather than catalog-led

Hiring signals

Channel3, a team of five according to Y Combinator, has one open role: a Backend Engineer in New York.

  • Backend Engineer (New York): Dedupe, variant mapping and evals at the scale of 1B products. Ideas 1, 5, 19.

From the team that wrote this playbook

All products
  • ProgrammableAgencyWorking AI systems in days, not quarters (opens programmable.agency in a new tab)
  • ProgrammableInfoAn agent that finds, researches and asks first (opens programmable.info in a new tab)
  • ProgrammableDigitalScreenshots in, an animated product demo out (opens programmable.digital in a new tab)
  • ProgrammableWatchKnow the day a supplier falls out of compliance (opens programmable.watch in a new tab)
  • ProgrammableTalkGet registrants for your events, and know who’s coming (opens programmable.talk in a new tab)
  • ProgrammablePageText what you need, your customer gets a page that works (opens programmable.page in a new tab)
  • ProgrammableCommunityForums with labelled AI members, never empty (opens programmable.community in a new tab)
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